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Emotion Review
Vol. 4 No. 2 (April 2012) 163 –168
© The Author(s) 2012
ISSN 1754-0739
DOI: 10.1177/1754073911430132
er.sagepub.com
Bodily States and Emotional Feelings
A goal of cognitive neuroscience is to understand how the con-
scious mind is produced by, and influences, biological
processes
(Rees & Seth, 2010). Scientists and clinicians typically hold
that subjective mental experience, thoughts, and feelings are
hosted by the brain through its intrinsic neural activity. Other
bodily organs, while under the brain’s control, are not generally
considered to have this relationship to consciousness. This dis-
tinction can therefore be exploited as a model for characterizing
the physical correlates of mind through tracking neurally
mediated interaction between changes in body (outside the
brain) and changes in emotion and cognition. Body–mind
interactions are of particular interest to understanding emotions
and motivations. Bodily states shape mental content: If we are
dehydrated we experience thirst, if nutritionally deprived, hun-
ger. These basic motivational changes influence how we inter-
act mentally and physically with our environment. Motivational
changes are elicited by other external threats to the physiologi-
cal integrity and by external stimuli that may ensure the body’s
integrity. Changes in the physiological state of the body
accompany the processing of such aversive and appetitive
motivational cues to facilitate and anticipate appropriate
behaviours. Thus, stimuli with potentially negative or positive
consequences become “emotionally-competent” (Damasio,
2001) and divert physiological resources to meet evolutionary
imperatives (Panksepp, 1998). Arguably, if a stimulus elicits
no change in bodily physiology then it cannot be viewed as
emotive. Action programmes (stereotypical changes in bodily
physiology) are evoked automatically by strongly salient stim-
uli without the initial need for cognitive appraisal. James (1994)
and Lange (1885) proposed that the emotion follows the physi-
ological response and is the feeling of that response. James used
a number of analogies to describe what he meant by emotion;
for example, proposing that the absence of this bodily response
would result in a perception being “pale, colorless, destitute of
emotional warmth.” Walter Cannon challenged this view by
arguing that the same emotion can occur in different bodily
states, and that the differentiation of physiological arousal was
too coarse to account for the richness of emotional experience
(Cannon, 1927). A partial resolution was proposed by Schachter
and Singer (1962), who argued that changes in the body can
initiate and intensify emotions but must be interpreted cogni-
tively to determine which emotion is experienced. In Schachter
How Emotions Are Shaped by Bodily States
Hugo D. Critchley
Brighton & Sussex Medical School, University of Sussex, UK
Sackler Centre for Consciousness Science, University of
Sussex, UK
Sussex Partnership NHS Foundation Trust, UK
Yoko Nagai
Brighton & Sussex Medical School, University of Sussex, UK
Abstract
The state of the body is central to guiding motivational
behaviours. Here we discuss how afferent information from face
and viscera
influence the processing and communication of emotional
states. We highlight (a) the fine-grained impact that facial
muscular
and patterned visceral responses exert on emotional appraisal
and communicative signals; (b) short-term changes in visceral
state
that bias brain responses to emotive stimuli; (c) the
commonality of brain pathways and substrates mediating short-
and long-term
bodily effects on emotional processes; (d) how topographically
distinct representations of different bodily states are coupled to
reported feelings associated with subtypes of disgust; and (e)
how pupil signals contribute to affective exchange. Integrating
these
observations enriches our understanding of emotional processes
and psychopathology.
Keywords
autonomic, body, emotion, feelings, interoception, viscera
Corresponding author: Hugo D. Critchley, Brighton & Sussex
Medical School, Clinical Imaging Sciences Centre, University
of Sussex Campus, Falmer, Brighton BN1 9RR, UK.
Email: [email protected]
http://crossmark.crossref.org/dialog/?doi=10.1177%2F17540739
11430132&domain=pdf&date_stamp=2012-04-27
164 Emotion Review Vol. 4 No. 2
and Singer’s (1962) experiment, participants were injected with
saline or adrenaline and placed in a room with a “stooge” who
acted irritable or happy; participants who were physiologically
aroused by the adrenaline reported experiencing more emo-
tion, the quality of which corresponded to that expressed by the
stooge. This two-stage model allowed for complex emotional
experience to be grounded on the interpretation of an undiffer-
entiated emotional arousal state.
Over the last 20 years, the notion that emotions have a
peripheral origin was reinvigorated by Damasio, Tranel, and
Damasio (1991). Their “somatic marker hypothesis” devel-
oped from the observation that behavioural learning of the
motivational significance of stimuli is coupled to physiological
arousal responses evoked by the stimuli. An interpretation
was that arousal responses reflect learning and (implicitly/
preconsciously) guide decision-making. This interrelationship
is lost in people with ventromedial prefrontal lesions who con-
sequently fail to learn by experience despite retaining insight
into what, in fact, would be appropriate behaviour (Damasio
et al., 1991). Both emotion and cognition were argued to be
subject to bodily biases (Damasio, 1994, 1999). Damasio’s
recent writings emphasize the primacy of emotion action
programmes (triggered within brainstem regions such as the
periaqueductal grey matter [PAG]) that may provide feedback
and emerge as perceived feelings (Damasio, 2010). It is note-
worthy that the ventromedial prefrontal cortical and adjacent
subgenual brain area identified by Damasio’s group as mediat-
ing the coupling of somatic state to motivational behaviours is
functionally compromised in anhedonic and depressive states
(Drevets et al., 1997; Keedwell, Andrew, Williams, Brammer,
& Phillips, 2005; Mayberg et al., 2000; Mayberg et al., 2005),
conditions that are associated with abnormalities in physiolog-
ical reactivity (Carney, Freedland, & Veith, 2005).
Muscles as Context
Widely used tools used in emotion science are the Ekman
emotional face stimuli (Ekman, 1972; Ekman & Friesen, 1978),
depicting six “prototypical” emotions. These expressions origi-
nate from evolutionary-selected reactions (Darwin, 1998), are
recognized in the same way across different human societies,
and appear to be a “universal” means of exchanging core
emotions among healthy humans (Ekman, 1972). Thus, indi-
vidual Ekman stimuli are frequently used as experimental
probes to evoke responses (at neural and behavioral levels)
within brain systems supporting those specific basic emotions.
This is interesting and potentially counterintuitive (e.g., fear
responses are engaged more by processing fearful face stimuli
than by threatening/anger stimuli). One interpretation is that
when we see an emotion, we simulate the same state within our
own brains and bodily states (including facial expression); so
fear in others generates fear in us. However, recent human
emotional neuroscience has focused on facial expressions at the
expense of other responses (though Darwin, James, and Lange
drew attention to the whole body’s role in emotion). Gait and
posture betray emotion at distances well before one can see
salient facial features such the whites of eyes. Interactions
between bodily and facial expressions of emotion have been
highlighted by de Gelder et al. (2006). They show Ekman
expressions are influenced by context. Thus, if an angry expres-
sion is placed on a “fearful” body then recognition accuracy
drops by 20%. Clearly, there are competing signals within such
hybrid stimuli. Part of that competition is at the level of
embodied
context; if a stimulus triggers a corresponding emotional bodily
state in the viewer, this compromises the ability to judge the
facial emotion.
The role of feedback from one’s own body state as a context
for appraising emotional material was elegantly illustrated
behaviourally by Strack, Martin, and Stepper (1988), who
focused on facial expressions. Participants judged how funny
cartoons were, while holding a pen with either their teeth or
lips.
These manipulations interfered with evoked emotional facial
muscle responses: You cannot smile if you hold a pen with your
lips. You activate the same muscles as smiling if you hold the
pen
with your teeth. A cover story ensured participants were
unaware
that these were “emotional” manipulations, yet cartoons were
perceived as funnier if the pen was held with the teeth and less
funny if held in the “pouting” lip position. This finding, among
others, led to the theoretical formulation of the facial readout
(or feedback) hypothesis, which, at its most “Jamesian”
extreme,
suggests that we might experience things as funny or pleasant
because we feel ourselves smile (James, 1994). Emotional facial
reactions can be automatic: Valenced emotional stimuli elicit
covert electromyographic (EMG) responses in the “smile mus-
cle” (zygomaticus) or “frown muscle” (corrugator supercilli)
even to subliminal stimuli (i.e., for which the viewer has no
con-
scious recollection of having processed them; Dimberg,
Thunberg, & Elmehed, 2000; Sonnby-Borgström, 2002). Facial
muscles develop from branchial arches (i.e., origins of the gill
system of fishes) and facial nuclei are proximal to autonomic
control centres. The implication is that facial expressions are
similar to, and intrinsically coupled with, unconsciously regu-
lated visceral arousal states (see Porges, 1997).
Automaticity in facial expressions is evident in expression
contagion. High-speed cameras can surreptitiously film people
watching another’s facial expression to show subtle mimicry in
the facial movements of the observer (similar to EMG responses
observed by Dimberg et al., 2000). Contagion provides, through
facial feedback, a mechanism for representing how others feel
by using the data coming back from our own automatically
reacting faces. In our lab, we explored this experimentally:
Participants were cued to smile or frown after viewing neutral,
smiling, or frowning face stimuli. Using EMG, we showed that
it was harder to smile quickly if you saw a frowning expression
and harder to frown if watching a smile. Using functional
magnetic resonance brain imaging (fMRI), we located corre-
sponding changes in brain activity in a set of areas that linked
the processing of facial expressions (superior temporal sulcus;
STS), internal emotional feeling (insula), and effort (cingulate).
Activity in these areas also reflected differences across
individuals in measures of empathy (Lee, Dolan, & Critchley,
2008). In another experiment closer to that of Strack and
Critchley & Nagai Embodiment of Emotion 165
colleagues (1988), we asked people to smile, frown, or hold
neutral expressions while they rated emotional face stimuli
(Lee, Dolan, & Critchley, 2011). If the participant was
frowning,
this reduced their perception of happiness in smiling faces
and enhanced their perception of anger (by approximately 6%),
while if they smiled, frowning faces appeared milder and
smiling faces happier. In the brain, these effects occurred within
the amygdala (a rapid detector for emotional salience) and the
insula (implicated as the readout for internal bodily feeding
states). Together these observations highlight musculature self-
reference in shaping emotional brain processes and responses,
but raise an important issue regarding the boundaries between
self and other; in the phenomenon of contagion, the emotions
are typically attributed to another.
Mechanisms underlying motoric simulation of emotions can
be compromised in affective disorders and specific neurological
conditions. The negative underreactive expression of a
depressed
person can exacerbate that individual’s disengagement from
interactions with other people who may find the experience
unrewarding and depressing. For the depressed individuals
themselves the fixed depressive facial expression can negatively
bias stimulus processing and encoding into memory. While the
causality is complex in depression, neurological conditions that
compromise facial expression including Parkinsonism, Moebius
syndrome, and even the cosmetic use of botulinuum toxin have
been reportedly associated with flattening of subjective feelings
and vulnerability to depressive mood disorder (Davis, Senghas,
Brandt, & Ochsner, 2010; Gillberg & Steffenburg, 1989;
Katsikitis & Pilowsky, 1991). In contrast, enhanced emotional
contagion of facial expression accompanies Tourette syndrome
(and perhaps attention deficit hyperactivity disorder [ADHD]
and hypomania), where there is a link to emotional lability and
instability (e.g., Cavanna, Robertson, & Critchley, 2008).
Perturbation of Internal Visceral State
The internal state of the body, in health, is closely regulated
through neural (autonomic) and humoral control systems in a
way that signals motivational needs, facilitates adaptive behav-
iours, and permits stimulatory understanding of others’ emo-
tion. Sickness illustrates how perturbed internal bodily state can
change thoughts and feelings: If you are “under the weather”
because of an infection, mood drops, reaction times slow, you
fatigue easily, and thoughts get muddled. This is an expression
of a stereotyped specific response to inflammation that directs
bodily defences toward recuperation (Dantzer & Kelley, 2007).
Neuroimaging research has addressed underlying mechanisms:
Inducing a mild transient inflammatory response with typhoid
vaccination (for overseas travel) will evoke increases in circu-
lating immune chemicals such as cytokines. Mood will drop
within 4 hours and self-reported fatigue and confusion increase
(recovering within 24 hours). Neural responses change:
Alterations in subgenual cingulate reactivity correlate with the
degree of inflammation-evoked depression, while other related
regions predict the impact of inflammation on cognition and
fatigue (dorsal cingulate cortex, insula) (Harrison, Brydon,
Walker, Gray, Steptoe, & Critchley, 2009; Harrison, Brydon,
Walker, Gray, Steptoe, Dolan et al., 2009). Changes in sub-
genual cingulate cortex are of particular interest as the region
is linked to anhedonia, depression, and response to antidepres-
sants (Mayberg et al., 2000). It is also a target for deep brain
stimulation for treatment-resistant depression (Mayberg et al.,
2005). The vegetative and psychological effects of inflamma-
tion-induced sickness suggest that clinical depression may rep-
resent aberrant engagement of adaptive tonic reactions to
visceral perturbation. Here effects are sustained over time, but
in principle the same psychophysiological mechanisms may
operate over much shorter periods.
Short-Term Autonomic Fluctuation and
Central Processing
Dynamic fluctuations in heart rate and blood pressure interact
with emotional processing and experience (Critchley, 2009).
The contextual expression of these effects is apparent in stud-
ies of patients with peripheral autonomic denervation who
cannot control their cardiovascular responses (Critchley,
2009; Critchley, Mathias, & Dolan, 2001, 2002; Critchley,
Nagai, Gray, & Mathias, 2011). However, rapid changes in
cardiovascular arousal also impact on our feelings and
thoughts. A central aspect of cardiovascular autonomic con-
trol is the regulation of blood pressure to meet, among other
things, postural demands (e.g., stopping us from fainting when
we stand). Changes in blood pressure are sensed through baro-
receptors (sensors in the large arteries), which fire with each
heartbeat indicating arterial pulse pressure (Gilbey, 2007;
Jänig, 2006). This signalling contributes to the baroreflex;
blood vessels dilate and heart rate slows if pressure is too high,
or conversely vessels constrict and heart rate quickens if the
pressure is low. Baroreceptor activation provides a major inter-
oceptive route to the brain (the representation of which may
emerge as feelings of physical arousal). This baroreceptor sig-
nal is phasic and pulsatile, suggesting that whatever cognitive/
emotional processes are sensitive to cardiovascular arousal
may have intrinsic short-term rhythmicity.
Experimentally, salient stimuli such as electric shocks or
faces can be briefly presented at different phases of the cardiac
cycle, either when the heart has just ejected blood (during natu-
ral baroreceptor activation) or when it is firing (between bursts
of baroreceptor activity). Combining autonomic monitoring
with neuroimaging reveals some interesting effects: Automatic
blood pressure reactions to electric stimulation to the skin are
blocked by natural baroreceptor activation when shocks are
delivered at systole. This interaction between internal signals
and stimulus processing is associated with changes in neural
responses of amygdala, insula, and dorsal brainstem which also
mediate contextual effects of individual differences between
participants in autonomic parasympathetic tone (Gray,
Rylander,
Harrison, Wallin, & Critchley, 2009). Thus, our processing of
salient environmental stimuli can fluctuate within each
heartbeat
interval. Such short-term changes in bodily context
(baroreceptor
activation) selectively affect conscious appraisal of stimuli,
rather than “low-level” sensory detection. We have now shown
this for electroencephalography (EEG) response to pain (Gray,
166 Emotion Review Vol. 4 No. 2
Minati, Paoletti, & Critchley, 2010) and for detection of flicker
in visual stimuli (unpublished observations). If we look at
emotional face stimuli, baroreceptor activation alters some
emotional expressions (e.g., disgust and happiness) but not
others (sadness and anger) (Gray et al., 2011), implying that the
effect is coupled to parasympathetic control (more prominent
in happiness and disgust). Together short-term phasic changes
in cardiovascular state modulate emotional judgements, and
behavioural/autonomic responses to motivationally salient stim-
uli. The brain mechanisms involved, dorsal brainstem, insula,
and amygdala, appear the same as those also sensitive to tonic
perturbations of bodily state.
Distinct Visceral States and Affective
Exchange
The James–Lange theory implies that different internal bodily
states engender different emotions. The evidence for this was
limited to only a few studies that link emotional experience to
patterning across different axes of autonomic response (e.g.,
Ekman, Levenson, & Friesen, 1983; Kreibig, 2010; Rainville,
Bechara, Naqvi, & Damasio, 2006). Thus, the concept that
there are multiple bodily arousal states is not widely embraced
in psychology, yet autonomic neuroscience highlights the
organ-specific autonomic control of peripheral arousal states
consistent with cultural and experiential associations linking
emotions with distinct visceral feelings; for example, the heart
skipping a beat with fear, the face going red with anger.
An examination of disgust representation provides a clearer
picture of the relationship between central emotional experience
and internal physiological responses. The term disgust is used
as a label for different types of negative emotional experiences,
from visceral reactions to contaminated food to rejection of
social immorality. Even at its most basic, there is more than one
sort of disgust: The type that makes you vomit (usually
involving
contamination and food) and the type that makes you faint
(“body boundary violation” [BBV] disgust, usually involving
active breaching of the skin and the presence of blood),
indicating physiological differentiation within a single verbal
descriptor. In an fMRI study, participants watched video stimuli
designed to elicit degrees of “nauseating” and “bloody” disgust
while brain activity was measured concurrently with electri-
cal responses of the stomach and the heart (Harrison, Gray,
Gianaros, & Critchley, 2010). The responses of the stomach to
food-related (nauseating) scenes evoked focal activity within
bilateral regions of insula cortex and this neural activity also
predicted how strong the participant rated the experience of dis-
gust. The response of the heart to surgical/bloody stimuli (BBV
disgust; withdrawal of parasympathetic cardiac influences)
evoked activity within a different subregion of left insula cor-
tex, which again predicted subjective ratings of disgust feelings.
This study is perhaps the first to illustrate direct neural
coupling
(i.e., through shared regional brain substrates) of bodily state
with emotional feeling state. Insula cortex is more generally
implicated as a substrate for declarative feelings originating in
internal physiological changes; for example, states of
cardiorespiratory arousal linked to anxiety states (Craig, 2004;
Critchley, Wiens, Rotshtein, Ohman, & Dolan, 2004). There are
strong relationships between disgust and psychopathology.
Disgust
is often intrinsic to the symptomatology of mood and anxiety
disorders. Contamination fears feature often in obsessive-
compulsive disorder and major depression—in the latter this
can have strongly self-directed and moral content.
Predisposition
to disgust-triggered autonomic responses is linked to vulnerabil-
ity to anxiety states (Olatunji, Cisler, McKay, & Phillips, 2010).
People who faint at the sight of blood are twice as likely to
develop an anxiety disorder as people without a personal history
of fainting (Kouakam et al., 2002).
Pupillary Response and Affective
Exchange
The methods used to probe disgust responses tap into vicarious
aspects of emotion including facial signals (as discussed
before).
Some visceral correlates of emotion are overtly communicative,
for example, blushing or pallor. Other signals, like changes in
pupil size, are more subtle, yet these automatic unconscious
processes still betray our fears and feelings to others. Schachter
and Singer’s (1962) model of emotion suggests that increases in
arousal trigger and intensify emotion, but that the quality of the
emotion is cognitively interpreted from other contextual cues.
One signal for physiological arousal (heuristically increased
sympathetic decreased parasympathetic tone) is pupil dilatation.
Pupils dilate when one is more aroused. A few years back, we
wondered what effect pupil size might have on the processing of
different emotional facial expressions. We altered pictures of
emotional faces to portray different sizes of pupils. We pre-
dicted that bigger pupils would intensify the rated intensity of
all the different emotions; we were wrong. Behavioral tests,
repeated on a number of occasions, showed pupil size affected
only the judgement of sad faces; smaller pupils on sad faces
made the face look more negative and more intensely sad to
healthy raters (who were not explicitly aware of the pupil
manipulation). People who were more sensitive to this covert
pupil effect scored higher on an empathy questionnaire. We
scanned people looking at these face stimuli and showed that
brain areas implicated in emotion perception (amygdala, insula,
STS) were specifically engaged (Harrison, Singer, Rotshtein,
Dolan, & Critchley, 2006; Harrison, Wilson, & Critchley,
2007).
The next finding was also surprising: During scanning, we
measured the observers’ own pupil size and observed a mirror-
ing of the pupil response only when viewing sad faces. We had
expected that pupil size would either have no effect, or that it
would be copied automatically irrespective of what emotion
was portrayed. Yet if a participant saw a small pupil on a sad
face his/her own pupil constricted, and this was not true for
other emotional expressions. The degree to which people mir-
rored the pupil in sadness also predicted their empathy scores.
Within the brain, this effect was expressed in the activity of a
dorsal brainstem region that contained the (Edinger-Westphal)
nuclei controlling one’s own pupil (activity within this same
region also correlated with the degree of contagion of pupils)
(Harrison et al., 2006). This study highlights the contribution
of pupillary signals in communicating emotional states and
Critchley & Nagai Embodiment of Emotion 167
the embodiment (simulation/mimicking/contagion) of those
responses in the viewer in a way that follows the individual
empathetic responses, but which may also directly influence
judgements of emotion (either because dilated pupils compro-
mise visual accommodation, or because there is active feedback
from the pupil muscle itself; a topic of ongoing experimental
study). For pupils the effect is powerful for sadness and does
not
appear to generalize to other expressions of emotion.
A further neuroimaging study examined what happens in the
brain when two people are engaged in dynamic eye-to-eye
contact and experience either matching or unmatched changes in
pupil size (Harrison, Gray, & Critchley, 2009). A stimulus (pair
of eyes) was linked to the output of an eye tracker in the fMRI
scanner. For some periods, when the viewers’ pupils
constricted,
the stimulus pupils constricted, and for other periods, when the
viewer’s pupils constricted, the stimulus pupils dilated. We
found the following: The more the stimulus pupils changed in
size, the more activity was evoked within amygdala and STS.
When pupils varied congruently (coupled in the same direction),
there was little extra effect on brain activity. However, when
the
size of observed (stimulus) pupils changed in the opposite way
to the pupils of the viewer, this powerfully activated brain
region
linked to emotional arousal (including anterior cingulate and
insula cortices), indicating that pupil mismatch is an important
cue to evoking activity within the “salience network” (Seeley et
al., 2007). A speculative interpretation is that if you are talking
to another person, pupils tend to harmonize, both because of
ambient lighting and “bodily attunement” through shared emo-
tionality. If there is an unexpected, unmirrored change in your
companion’s pupillary state of arousal, this breaks the harmoni-
zation and is a salient event signalled in the brain, which may
be
of sufficient magnitude to interrupt the flow of cognition and
behavior and redirect attention toward the other’s mental state.
This effect during eye-to-eye contact is dependent on
subconscious
feedback from your own pupils against which the pupillary
responses of another person are gauged. Clinically, the
reactivity
of pupils is compromised in depression. In sadness and pain, the
mechanisms through which the pupils constrict can be uncou-
pled from the reactivity to ambient light.
General Conclusions
Bodily states act as a context for emotions, shaping affective
processes in a manner similar to the effects of external contexts
and occasion setters (Bouton, 2001). However, they do more, as
they are a source of affective feeling that arises from highly
patterned physiological states. The changing representation
of internal bodily “self” exerts a dynamic contextual effect on
emotional processing (even changing within a single heartbeat).
The same basic mechanisms appear to underlie brain–body
interaction across different timeframes from baroreceptor acti-
vation, emotion-evoked autonomic reactions, embodied mood
states, and tonic interoceptive perturbations associated with
illness and inflammation. These mechanisms also extend
beyond the individual to the communication and exchange of
emotional states and can be engaged to appraise the feelings
of others. Neuroimaging in combination with physiological
monitoring permits the dissection of these processes at the
level of coordinated neural systems, competing processes,
and modular substrates for experience and behavior. These
basic approaches in healthy individuals allow us to address in a
more comprehensive manner states of psychopathology in
which constitutional differences in physiological reactivity or
interoceptive sensitivity are linked to vulnerability to mood and
anxiety disorders, the presence of daily mood and anxiety symp-
toms, and fluidity of social interaction (Fukushima, Terasawa,
& Umeda, 2011; Hubert, Wicker, Monfardini, & Deruelle,
2009; Paulus & Stein, 2010). At a deeper level it has been
argued that viscerosensory mechanisms are central to integrity
of self (Damasio, 2010). Individual differences in interoceptive
awareness not only predict sensitivity to the occurrence of mood
symptoms (Critchley et al., 2004; Paulus & Stein, 2010), but
also susceptibility to illusory distortions in self-representation
(Tsakiris, Tajadura-Jiménez, & Costantini, 2011). Dysfunctional
processing of the mismatch between predicted and actual
internal bodily states (prediction errors) has been proposed to
underlie anxiety disorder (Paulus & Stein, 2010) and psychosis
(Palaniyappan & Liddle, 2011). Research into the control of
bodily states provides a grounded approach to the neurobiology
of subjective experience, without which understanding of
psychiatric illness would be impoverished.
References
Bouton, M. (2001). Theories of associative learning in animals.
Annual
Review of Psychology, 52, 111–139.
Cannon, W. B. (1927). The James–Lange theory of emotions.
The American
Journal of Psychology, 39, 115–124.
Carney, R. M., Freedland, K. E., & Veith, R. C. (2005).
Depression, the
autonomic nervous system, and coronary heart disease
[Supplemental
material]. Psychosomatic Medicine, 67, 1, S29–S33.
Cavanna, A. E., Robertson, M. M., & Critchley, H. D. (2008).
Catatonic
signs in Gilles de la Tourette syndrome. Cognitive and
Behavioral
Neurology, 21(1), 34–37.
Craig, A. D. (2004). Human feelings: Why are some more aware
than
others? Trends in Cognitive Sciences, 8, 239–241.
Critchley, H. D. (2009). Psychophysiology of neural, cognitive
and
affective integration: fMRI and autonomic indicants.
International
Journal of Psychophysiology, 73(2), 88–94.
Critchley, H. D., Mathias, C. J., & Dolan, R. J. (2001).
Neuroanatomical
basis for first- and second-order representations of bodily
states. Nature
Neuroscience, 4, 207–212.
Critchley, H. D., Mathias, C. J., & Dolan, R. J. (2002). Fear
conditioning
in humans: The influence of awareness and autonomic arousal
on
functional neuroanatomy. Neuron, 33, 653–663.
Critchley, H. D., Nagai, Y., Gray, M. A., & Mathias, C. J.
(2011). Dissect-
ing axes of autonomic control in humans: Insights from
neuroimaging.
Autonomic Neuroscience: Basic & Clinical, 161, 34–42.
Critchley, H. D., Wiens, S., Rotshtein, P., Ohman, A., & Dolan,
R. J. (2004).
Neural systems supporting interoceptive awareness. Nature
Neuroscience,
7, 189–195.
Damasio, A. R. (1994). Descartes’ error: Emotion, reason and
the human
brain. New York, NY: Grosset/Putnam.
Damasio, A. R. (1999). The feeling of what happens: Body and
emotion in
the making of consciousness. New York, NY: Harcourt Brace.
Damasio, A. R. (2001). Fundamental feelings. Nature, 413, 781.
Damasio, A. R. (2010). Self comes to mind. New York, NY:
Pantheon.
Damasio, A. R., Tranel, D., & Damasio, H. C. (1991). Somatic
markers
and the guidance of behavior: Theory and preliminary testing.
In H. S.
168 Emotion Review Vol. 4 No. 2
Levin, H. M. Eisenberg & L. B. Benton (Eds.), Frontal lobe
function and
dysfunction (pp. 217–229). New York, NY: Oxford University
Press.
Dantzer, R., & Kelley, K. W. (2007). Twenty years of research
on cytokine-
induced sickness behavior. Brain, Behavior and Immunity, 21,
153–160.
Darwin, C. (1998). The expression of the emotions in man and
animals (3rd
ed., P. Ekman, Ed.). New York, NY: Oxford University Press.
Davis, J. I., Senghas, A., Brandt, F., & Ochsner, K. N. (2010).
The effects
of BOTOX injections on emotional experience. Emotion, 1,
433–440.
de Gelder, B., Meeren, H. K., Righart, R., van den Stock, J., van
de Riet, W.
A., & Tamietto, M. (2006). Beyond the face: Exploring rapid
influences
of context on face processing. Progress in Brain Research, 155,
37–48.
Dimberg, U., Thunberg, M., & Elmehed, K. (2000).
Unconscious facial reac-
tions to emotional facial expressions. Psychological Science,
11, 86–89.
Drevets, W. C., Price, J. L., Simpson, J. R., Jr., Todd, R. D.,
Reich, T.,
Vannier, M., & Raichle, M. E. (1997). Subgenual prefrontal
cortex
abnormalities in mood disorders. Nature, 386, 824–827.
Ekman, P. (1972). Universals and cultural differences in facial
expressions
of emotion. In J. Cole (Ed.), Nebraska Symposium on
Motivation 1971
(Vol. 19, pp. 207–283). Lincoln, NE: University of Nebraska
Press.
Ekman, P., & Friesen, W. (1978). Facial action coding system:
A technique
for the measurement of facial movement. Palo Alto, CA:
Consulting
Psychologists Press.
Ekman, P., Levenson, R. W., & Friesen, W. V. (1983).
Autonomic nervous
system activity distinguishes among emotions. Science, 221,
1208–1210.
Fukushima, H., Terasawa, Y., & Umeda, S. (2011). Association
between
interoception and empathy: Evidence from heartbeat-evoked
brain
potential. International Journal of Psychophysiology, 79, 259–
265.
Gilbey, M. P. (2007). Sympathetic rhythms and nervous
integration.
Clinical Experimental Pharmacology and Physiology, 34, 356–
361.
Gillberg, C., & Steffenburg, S. (1989). Autistic behaviour in
Moebius
syndrome. Acta Paediatrica Scandinavica, 78, 314–316.
Gray, M. A., Beacher, F. D., Minati, L., Nagai, Y., Kemp, A.
H., Harrison,
N. A., & Critchley, H. D. (2011). Emotional appraisal is
influenced by
cardiac afferent information. Emotion. Advance online
publication. doi:
10.1037/a0025083
Gray, M. A., Minati, L., Paoletti, G., & Critchley, H. D. (2010).
Baroreceptor
activation attenuates attentional effects on pain-evoked
potentials. Pain,
151, 853–861.
Gray, M. A., Rylander, K., Harrison, N. A., Wallin, B. G., &
Critchley, H. D.
(2009). Following one’s heart: Cardiac rhythms gate central
initiation
of sympathetic reflexes. The Journal of Neuroscience, 29, 1817–
1825.
Harrison, N. A., Brydon, L., Walker, C., Gray, M. A., Steptoe,
A., &
Critchley, H. D. (2009). Inflammation causes mood changes
through
alterations in subgenual cingulate activity and mesolimbic
connectivity.
Biological Psychiatry, 66, 407–414.
Harrison, N. A., Brydon, L., Walker, C., Gray, M. A., Steptoe,
A., Dolan, R.
J., & Critchley, H. D. (2009). Neural origins of human sickness
in intero-
ceptive responses to inflammation. Biological Psychiatry, 66,
415–422.
Harrison, N. A., Gray, M. A., & Critchley, H. D. (2009).
Dynamic
pupillary exchange engages brain regions encoding social
salience.
Social Neuroscience, 4, 233–243.
Harrison, N. A., Gray, M. A., Gianaros, P. J., & Critchley, H.
D. (2010).
The embodiment of emotional feelings in the brain. The Journal
of
Neuroscience, 30, 12878–12884.
Harrison, N. A., Singer, T., Rotshtein, P., Dolan, R. J., &
Critchley, H. D.
(2006). Pupillary contagion: Central mechanisms engaged in
sadness
processing. Social Cognitive and Affective Neuroscience, 1, 5–
17.
Harrison, N. A., Wilson, C. E., & Critchley, H. D. (2007).
Processing of
observed pupil size modulates perception of sadness and
predicts
empathy. Emotion, 7, 724–729.
Hubert, B. E., Wicker, B., Monfardini, E., & Deruelle, C.
(2009). Electro-
dermal reactivity to emotion processing in adults with autistic
spectrum
disorders. Autism, 13, 9–19.
James, W. (1994). Physical basis of emotion. Psychological
Review, 101,
205–210.
Jänig, W. (2006). The integrative action of the autonomic
nervous system:
Neurobiology of homeostasis. Cambridge, UK: Cambridge
University
Press.
Katsikitis, M., & Pilowsky, I. (1991). A controlled quantitative
study of
facial expression in Parkinson’s disease and depression. The
Journal of
Nervous and Mental Disease, 179, 683–688.
Keedwell, P. A., Andrew, C., Williams, S. C., Brammer, M. J.,
& Phillips,
M. L. (2005). The neural correlates of anhedonia in major
depressive
disorder. Biological Psychiatry, 58, 843–853.
Kouakam, C., Lacroix, D., Klug, D., Baux, P., Marquié, C., &
Kacet, S.
(2002). Prevalence and prognostic significance of psychiatric
disorders
in patients evaluated for recurrent unexplained syncope. The
American
Journal of Cardiology, 89, 530–535.
Kreibig, S. D. (2010). Autonomic nervous system activity in
emotion:
A review. Biological Psychology, 84, 394–421.
Lange, C. G. (1885). The mechanism of the emotions. In B.
Rand (Ed.), The
classical psychologist (pp. 672–685). Boston, MA: Houghton
Mifflin.
Lee, T. W., Dolan, R. J., & Critchley, H. D. (2008). Controlling
emotional
expression: Behavioral and neural correlates of nonimitative
emotional
responses. Cerebral Cortex, 18, 104–113.
Lee, T. W., Dolan, R. J., & Critchley, H. D. (2011). Expression-
induced
bias in processing of facial emotions. Manuscript in
preparation.
Mayberg, H. S., Brannan, S. K., Tekell, J. L., Silva, J. A.,
Mahurin, R. K.,
McGinnis, S., & Jerabek, P. A. (2000). Regional metabolic
effects
of fluoxetine in major depression: Serial changes and
relationship to
clinical response. Biological Psychiatry, 48, 830–843.
Mayberg, H. S., Lozano, A. M., Voon, V., McNeely, H. E.,
Seminowicz,
D., Hamani, C., . . . Kennedy, S. H. (2005). Deep brain
stimulation for
treatment-resistant depression. Neuron, 45, 651–660.
Olatunji, B. O., Cisler, J., McKay, D., & Phillips, M. L. (2010).
Is disgust
associated with psychopathology? Emerging research in the
anxiety
disorders. Psychiatry Research, 175, 1–10.
Palaniyappan, L., & Liddle, P. (2011). Does the salience
network play
a cardinal role in psychosis? An emerging hypothesis of insular
dysfunction. Journal of Psychiatry and Neuroscience, 36(4), 1–
11.
doi: 10.1503/jpn.100176
Panksepp, J. (1998). Affective neuroscience: The foundations of
human and
animal emotions. New York, NY: Oxford University Press.
Paulus, M. P., & Stein, M. B. (2010). Interoception in anxiety
and depression.
Brain Structure and Function, 214, 451–463.
Porges, S. W. (1997). Emotion: An evolutionary by-product of
the neural
regulation of the autonomic nervous system. Annals of the New
York
Academy of Sciences, 807, 62–77.
Rainville, P., Bechara, A., Naqvi, N., & Damasio, A. R. (2006).
Basic
emotions are associated with distinct patterns of
cardiorespiratory
activity. International Journal of Psychophysiology, 61, 5–18.
Rees, G., & Seth, A. K. (2010). The cognitive neuroscience of
consciousness.
Cognitive Neuroscience, 1, 153–154.
Schachter, S., & Singer, J. E. (1962). Cognitive, social and
physiological
determinants of emotional state. Psychological Review, 69,
379–399.
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover,
G. H.,
Kenna, H., . . . Greicius, M. D. (2007). Dissociable intrinsic
connectiv-
ity networks for salience processing and executive control. The
Journal
of Neuroscience, 27, 2349–2356.
Sonnby-Borgström, M. (2002). Automatic mimicry reactions as
related to
differences in emotional empathy. Scandinavian Journal of
Psychology,
43, 433–443.
Strack, F., Martin, L. L., & Stepper, S. (1988). Inhibiting and
facilitating
conditions of the human smile: A nonobtrusive test of the facial
feedback hypothesis. Journal of Personality and Social
Psychology,
54, 768–777.
Tsakiris, M., Tajadura-Jiménez, A. T., & Costantini, M. (2011).
Just a
heartbeat away from one’s body: Interoceptive sensitivity
predicts
malleability of body-representations. Proceedings of the Royal
Society:
Biological Sciences, 278, 2470–2476.

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Emotion ReviewVol. 4 No. 2 (April 2012) 163 –168© The Au.docx

  • 1. Emotion Review Vol. 4 No. 2 (April 2012) 163 –168 © The Author(s) 2012 ISSN 1754-0739 DOI: 10.1177/1754073911430132 er.sagepub.com Bodily States and Emotional Feelings A goal of cognitive neuroscience is to understand how the con- scious mind is produced by, and influences, biological processes (Rees & Seth, 2010). Scientists and clinicians typically hold that subjective mental experience, thoughts, and feelings are hosted by the brain through its intrinsic neural activity. Other bodily organs, while under the brain’s control, are not generally considered to have this relationship to consciousness. This dis- tinction can therefore be exploited as a model for characterizing the physical correlates of mind through tracking neurally mediated interaction between changes in body (outside the brain) and changes in emotion and cognition. Body–mind interactions are of particular interest to understanding emotions and motivations. Bodily states shape mental content: If we are dehydrated we experience thirst, if nutritionally deprived, hun- ger. These basic motivational changes influence how we inter- act mentally and physically with our environment. Motivational changes are elicited by other external threats to the physiologi- cal integrity and by external stimuli that may ensure the body’s integrity. Changes in the physiological state of the body accompany the processing of such aversive and appetitive
  • 2. motivational cues to facilitate and anticipate appropriate behaviours. Thus, stimuli with potentially negative or positive consequences become “emotionally-competent” (Damasio, 2001) and divert physiological resources to meet evolutionary imperatives (Panksepp, 1998). Arguably, if a stimulus elicits no change in bodily physiology then it cannot be viewed as emotive. Action programmes (stereotypical changes in bodily physiology) are evoked automatically by strongly salient stim- uli without the initial need for cognitive appraisal. James (1994) and Lange (1885) proposed that the emotion follows the physi- ological response and is the feeling of that response. James used a number of analogies to describe what he meant by emotion; for example, proposing that the absence of this bodily response would result in a perception being “pale, colorless, destitute of emotional warmth.” Walter Cannon challenged this view by arguing that the same emotion can occur in different bodily states, and that the differentiation of physiological arousal was too coarse to account for the richness of emotional experience (Cannon, 1927). A partial resolution was proposed by Schachter and Singer (1962), who argued that changes in the body can initiate and intensify emotions but must be interpreted cogni- tively to determine which emotion is experienced. In Schachter How Emotions Are Shaped by Bodily States Hugo D. Critchley Brighton & Sussex Medical School, University of Sussex, UK Sackler Centre for Consciousness Science, University of Sussex, UK Sussex Partnership NHS Foundation Trust, UK Yoko Nagai Brighton & Sussex Medical School, University of Sussex, UK Abstract
  • 3. The state of the body is central to guiding motivational behaviours. Here we discuss how afferent information from face and viscera influence the processing and communication of emotional states. We highlight (a) the fine-grained impact that facial muscular and patterned visceral responses exert on emotional appraisal and communicative signals; (b) short-term changes in visceral state that bias brain responses to emotive stimuli; (c) the commonality of brain pathways and substrates mediating short- and long-term bodily effects on emotional processes; (d) how topographically distinct representations of different bodily states are coupled to reported feelings associated with subtypes of disgust; and (e) how pupil signals contribute to affective exchange. Integrating these observations enriches our understanding of emotional processes and psychopathology. Keywords autonomic, body, emotion, feelings, interoception, viscera Corresponding author: Hugo D. Critchley, Brighton & Sussex Medical School, Clinical Imaging Sciences Centre, University of Sussex Campus, Falmer, Brighton BN1 9RR, UK. Email: [email protected] http://crossmark.crossref.org/dialog/?doi=10.1177%2F17540739 11430132&domain=pdf&date_stamp=2012-04-27 164 Emotion Review Vol. 4 No. 2 and Singer’s (1962) experiment, participants were injected with saline or adrenaline and placed in a room with a “stooge” who
  • 4. acted irritable or happy; participants who were physiologically aroused by the adrenaline reported experiencing more emo- tion, the quality of which corresponded to that expressed by the stooge. This two-stage model allowed for complex emotional experience to be grounded on the interpretation of an undiffer- entiated emotional arousal state. Over the last 20 years, the notion that emotions have a peripheral origin was reinvigorated by Damasio, Tranel, and Damasio (1991). Their “somatic marker hypothesis” devel- oped from the observation that behavioural learning of the motivational significance of stimuli is coupled to physiological arousal responses evoked by the stimuli. An interpretation was that arousal responses reflect learning and (implicitly/ preconsciously) guide decision-making. This interrelationship is lost in people with ventromedial prefrontal lesions who con- sequently fail to learn by experience despite retaining insight into what, in fact, would be appropriate behaviour (Damasio et al., 1991). Both emotion and cognition were argued to be subject to bodily biases (Damasio, 1994, 1999). Damasio’s recent writings emphasize the primacy of emotion action programmes (triggered within brainstem regions such as the periaqueductal grey matter [PAG]) that may provide feedback and emerge as perceived feelings (Damasio, 2010). It is note- worthy that the ventromedial prefrontal cortical and adjacent subgenual brain area identified by Damasio’s group as mediat- ing the coupling of somatic state to motivational behaviours is functionally compromised in anhedonic and depressive states (Drevets et al., 1997; Keedwell, Andrew, Williams, Brammer, & Phillips, 2005; Mayberg et al., 2000; Mayberg et al., 2005), conditions that are associated with abnormalities in physiolog- ical reactivity (Carney, Freedland, & Veith, 2005). Muscles as Context Widely used tools used in emotion science are the Ekman emotional face stimuli (Ekman, 1972; Ekman & Friesen, 1978),
  • 5. depicting six “prototypical” emotions. These expressions origi- nate from evolutionary-selected reactions (Darwin, 1998), are recognized in the same way across different human societies, and appear to be a “universal” means of exchanging core emotions among healthy humans (Ekman, 1972). Thus, indi- vidual Ekman stimuli are frequently used as experimental probes to evoke responses (at neural and behavioral levels) within brain systems supporting those specific basic emotions. This is interesting and potentially counterintuitive (e.g., fear responses are engaged more by processing fearful face stimuli than by threatening/anger stimuli). One interpretation is that when we see an emotion, we simulate the same state within our own brains and bodily states (including facial expression); so fear in others generates fear in us. However, recent human emotional neuroscience has focused on facial expressions at the expense of other responses (though Darwin, James, and Lange drew attention to the whole body’s role in emotion). Gait and posture betray emotion at distances well before one can see salient facial features such the whites of eyes. Interactions between bodily and facial expressions of emotion have been highlighted by de Gelder et al. (2006). They show Ekman expressions are influenced by context. Thus, if an angry expres- sion is placed on a “fearful” body then recognition accuracy drops by 20%. Clearly, there are competing signals within such hybrid stimuli. Part of that competition is at the level of embodied context; if a stimulus triggers a corresponding emotional bodily state in the viewer, this compromises the ability to judge the facial emotion. The role of feedback from one’s own body state as a context for appraising emotional material was elegantly illustrated behaviourally by Strack, Martin, and Stepper (1988), who focused on facial expressions. Participants judged how funny cartoons were, while holding a pen with either their teeth or
  • 6. lips. These manipulations interfered with evoked emotional facial muscle responses: You cannot smile if you hold a pen with your lips. You activate the same muscles as smiling if you hold the pen with your teeth. A cover story ensured participants were unaware that these were “emotional” manipulations, yet cartoons were perceived as funnier if the pen was held with the teeth and less funny if held in the “pouting” lip position. This finding, among others, led to the theoretical formulation of the facial readout (or feedback) hypothesis, which, at its most “Jamesian” extreme, suggests that we might experience things as funny or pleasant because we feel ourselves smile (James, 1994). Emotional facial reactions can be automatic: Valenced emotional stimuli elicit covert electromyographic (EMG) responses in the “smile mus- cle” (zygomaticus) or “frown muscle” (corrugator supercilli) even to subliminal stimuli (i.e., for which the viewer has no con- scious recollection of having processed them; Dimberg, Thunberg, & Elmehed, 2000; Sonnby-Borgström, 2002). Facial muscles develop from branchial arches (i.e., origins of the gill system of fishes) and facial nuclei are proximal to autonomic control centres. The implication is that facial expressions are similar to, and intrinsically coupled with, unconsciously regu- lated visceral arousal states (see Porges, 1997). Automaticity in facial expressions is evident in expression contagion. High-speed cameras can surreptitiously film people watching another’s facial expression to show subtle mimicry in the facial movements of the observer (similar to EMG responses observed by Dimberg et al., 2000). Contagion provides, through facial feedback, a mechanism for representing how others feel by using the data coming back from our own automatically reacting faces. In our lab, we explored this experimentally:
  • 7. Participants were cued to smile or frown after viewing neutral, smiling, or frowning face stimuli. Using EMG, we showed that it was harder to smile quickly if you saw a frowning expression and harder to frown if watching a smile. Using functional magnetic resonance brain imaging (fMRI), we located corre- sponding changes in brain activity in a set of areas that linked the processing of facial expressions (superior temporal sulcus; STS), internal emotional feeling (insula), and effort (cingulate). Activity in these areas also reflected differences across individuals in measures of empathy (Lee, Dolan, & Critchley, 2008). In another experiment closer to that of Strack and Critchley & Nagai Embodiment of Emotion 165 colleagues (1988), we asked people to smile, frown, or hold neutral expressions while they rated emotional face stimuli (Lee, Dolan, & Critchley, 2011). If the participant was frowning, this reduced their perception of happiness in smiling faces and enhanced their perception of anger (by approximately 6%), while if they smiled, frowning faces appeared milder and smiling faces happier. In the brain, these effects occurred within the amygdala (a rapid detector for emotional salience) and the insula (implicated as the readout for internal bodily feeding states). Together these observations highlight musculature self- reference in shaping emotional brain processes and responses, but raise an important issue regarding the boundaries between self and other; in the phenomenon of contagion, the emotions are typically attributed to another. Mechanisms underlying motoric simulation of emotions can be compromised in affective disorders and specific neurological conditions. The negative underreactive expression of a depressed
  • 8. person can exacerbate that individual’s disengagement from interactions with other people who may find the experience unrewarding and depressing. For the depressed individuals themselves the fixed depressive facial expression can negatively bias stimulus processing and encoding into memory. While the causality is complex in depression, neurological conditions that compromise facial expression including Parkinsonism, Moebius syndrome, and even the cosmetic use of botulinuum toxin have been reportedly associated with flattening of subjective feelings and vulnerability to depressive mood disorder (Davis, Senghas, Brandt, & Ochsner, 2010; Gillberg & Steffenburg, 1989; Katsikitis & Pilowsky, 1991). In contrast, enhanced emotional contagion of facial expression accompanies Tourette syndrome (and perhaps attention deficit hyperactivity disorder [ADHD] and hypomania), where there is a link to emotional lability and instability (e.g., Cavanna, Robertson, & Critchley, 2008). Perturbation of Internal Visceral State The internal state of the body, in health, is closely regulated through neural (autonomic) and humoral control systems in a way that signals motivational needs, facilitates adaptive behav- iours, and permits stimulatory understanding of others’ emo- tion. Sickness illustrates how perturbed internal bodily state can change thoughts and feelings: If you are “under the weather” because of an infection, mood drops, reaction times slow, you fatigue easily, and thoughts get muddled. This is an expression of a stereotyped specific response to inflammation that directs bodily defences toward recuperation (Dantzer & Kelley, 2007). Neuroimaging research has addressed underlying mechanisms: Inducing a mild transient inflammatory response with typhoid vaccination (for overseas travel) will evoke increases in circu- lating immune chemicals such as cytokines. Mood will drop within 4 hours and self-reported fatigue and confusion increase (recovering within 24 hours). Neural responses change: Alterations in subgenual cingulate reactivity correlate with the degree of inflammation-evoked depression, while other related
  • 9. regions predict the impact of inflammation on cognition and fatigue (dorsal cingulate cortex, insula) (Harrison, Brydon, Walker, Gray, Steptoe, & Critchley, 2009; Harrison, Brydon, Walker, Gray, Steptoe, Dolan et al., 2009). Changes in sub- genual cingulate cortex are of particular interest as the region is linked to anhedonia, depression, and response to antidepres- sants (Mayberg et al., 2000). It is also a target for deep brain stimulation for treatment-resistant depression (Mayberg et al., 2005). The vegetative and psychological effects of inflamma- tion-induced sickness suggest that clinical depression may rep- resent aberrant engagement of adaptive tonic reactions to visceral perturbation. Here effects are sustained over time, but in principle the same psychophysiological mechanisms may operate over much shorter periods. Short-Term Autonomic Fluctuation and Central Processing Dynamic fluctuations in heart rate and blood pressure interact with emotional processing and experience (Critchley, 2009). The contextual expression of these effects is apparent in stud- ies of patients with peripheral autonomic denervation who cannot control their cardiovascular responses (Critchley, 2009; Critchley, Mathias, & Dolan, 2001, 2002; Critchley, Nagai, Gray, & Mathias, 2011). However, rapid changes in cardiovascular arousal also impact on our feelings and thoughts. A central aspect of cardiovascular autonomic con- trol is the regulation of blood pressure to meet, among other things, postural demands (e.g., stopping us from fainting when we stand). Changes in blood pressure are sensed through baro- receptors (sensors in the large arteries), which fire with each heartbeat indicating arterial pulse pressure (Gilbey, 2007; Jänig, 2006). This signalling contributes to the baroreflex; blood vessels dilate and heart rate slows if pressure is too high, or conversely vessels constrict and heart rate quickens if the pressure is low. Baroreceptor activation provides a major inter-
  • 10. oceptive route to the brain (the representation of which may emerge as feelings of physical arousal). This baroreceptor sig- nal is phasic and pulsatile, suggesting that whatever cognitive/ emotional processes are sensitive to cardiovascular arousal may have intrinsic short-term rhythmicity. Experimentally, salient stimuli such as electric shocks or faces can be briefly presented at different phases of the cardiac cycle, either when the heart has just ejected blood (during natu- ral baroreceptor activation) or when it is firing (between bursts of baroreceptor activity). Combining autonomic monitoring with neuroimaging reveals some interesting effects: Automatic blood pressure reactions to electric stimulation to the skin are blocked by natural baroreceptor activation when shocks are delivered at systole. This interaction between internal signals and stimulus processing is associated with changes in neural responses of amygdala, insula, and dorsal brainstem which also mediate contextual effects of individual differences between participants in autonomic parasympathetic tone (Gray, Rylander, Harrison, Wallin, & Critchley, 2009). Thus, our processing of salient environmental stimuli can fluctuate within each heartbeat interval. Such short-term changes in bodily context (baroreceptor activation) selectively affect conscious appraisal of stimuli, rather than “low-level” sensory detection. We have now shown this for electroencephalography (EEG) response to pain (Gray, 166 Emotion Review Vol. 4 No. 2 Minati, Paoletti, & Critchley, 2010) and for detection of flicker in visual stimuli (unpublished observations). If we look at emotional face stimuli, baroreceptor activation alters some
  • 11. emotional expressions (e.g., disgust and happiness) but not others (sadness and anger) (Gray et al., 2011), implying that the effect is coupled to parasympathetic control (more prominent in happiness and disgust). Together short-term phasic changes in cardiovascular state modulate emotional judgements, and behavioural/autonomic responses to motivationally salient stim- uli. The brain mechanisms involved, dorsal brainstem, insula, and amygdala, appear the same as those also sensitive to tonic perturbations of bodily state. Distinct Visceral States and Affective Exchange The James–Lange theory implies that different internal bodily states engender different emotions. The evidence for this was limited to only a few studies that link emotional experience to patterning across different axes of autonomic response (e.g., Ekman, Levenson, & Friesen, 1983; Kreibig, 2010; Rainville, Bechara, Naqvi, & Damasio, 2006). Thus, the concept that there are multiple bodily arousal states is not widely embraced in psychology, yet autonomic neuroscience highlights the organ-specific autonomic control of peripheral arousal states consistent with cultural and experiential associations linking emotions with distinct visceral feelings; for example, the heart skipping a beat with fear, the face going red with anger. An examination of disgust representation provides a clearer picture of the relationship between central emotional experience and internal physiological responses. The term disgust is used as a label for different types of negative emotional experiences, from visceral reactions to contaminated food to rejection of social immorality. Even at its most basic, there is more than one sort of disgust: The type that makes you vomit (usually involving contamination and food) and the type that makes you faint (“body boundary violation” [BBV] disgust, usually involving active breaching of the skin and the presence of blood),
  • 12. indicating physiological differentiation within a single verbal descriptor. In an fMRI study, participants watched video stimuli designed to elicit degrees of “nauseating” and “bloody” disgust while brain activity was measured concurrently with electri- cal responses of the stomach and the heart (Harrison, Gray, Gianaros, & Critchley, 2010). The responses of the stomach to food-related (nauseating) scenes evoked focal activity within bilateral regions of insula cortex and this neural activity also predicted how strong the participant rated the experience of dis- gust. The response of the heart to surgical/bloody stimuli (BBV disgust; withdrawal of parasympathetic cardiac influences) evoked activity within a different subregion of left insula cor- tex, which again predicted subjective ratings of disgust feelings. This study is perhaps the first to illustrate direct neural coupling (i.e., through shared regional brain substrates) of bodily state with emotional feeling state. Insula cortex is more generally implicated as a substrate for declarative feelings originating in internal physiological changes; for example, states of cardiorespiratory arousal linked to anxiety states (Craig, 2004; Critchley, Wiens, Rotshtein, Ohman, & Dolan, 2004). There are strong relationships between disgust and psychopathology. Disgust is often intrinsic to the symptomatology of mood and anxiety disorders. Contamination fears feature often in obsessive- compulsive disorder and major depression—in the latter this can have strongly self-directed and moral content. Predisposition to disgust-triggered autonomic responses is linked to vulnerabil- ity to anxiety states (Olatunji, Cisler, McKay, & Phillips, 2010). People who faint at the sight of blood are twice as likely to develop an anxiety disorder as people without a personal history of fainting (Kouakam et al., 2002). Pupillary Response and Affective
  • 13. Exchange The methods used to probe disgust responses tap into vicarious aspects of emotion including facial signals (as discussed before). Some visceral correlates of emotion are overtly communicative, for example, blushing or pallor. Other signals, like changes in pupil size, are more subtle, yet these automatic unconscious processes still betray our fears and feelings to others. Schachter and Singer’s (1962) model of emotion suggests that increases in arousal trigger and intensify emotion, but that the quality of the emotion is cognitively interpreted from other contextual cues. One signal for physiological arousal (heuristically increased sympathetic decreased parasympathetic tone) is pupil dilatation. Pupils dilate when one is more aroused. A few years back, we wondered what effect pupil size might have on the processing of different emotional facial expressions. We altered pictures of emotional faces to portray different sizes of pupils. We pre- dicted that bigger pupils would intensify the rated intensity of all the different emotions; we were wrong. Behavioral tests, repeated on a number of occasions, showed pupil size affected only the judgement of sad faces; smaller pupils on sad faces made the face look more negative and more intensely sad to healthy raters (who were not explicitly aware of the pupil manipulation). People who were more sensitive to this covert pupil effect scored higher on an empathy questionnaire. We scanned people looking at these face stimuli and showed that brain areas implicated in emotion perception (amygdala, insula, STS) were specifically engaged (Harrison, Singer, Rotshtein, Dolan, & Critchley, 2006; Harrison, Wilson, & Critchley, 2007). The next finding was also surprising: During scanning, we measured the observers’ own pupil size and observed a mirror- ing of the pupil response only when viewing sad faces. We had expected that pupil size would either have no effect, or that it would be copied automatically irrespective of what emotion was portrayed. Yet if a participant saw a small pupil on a sad
  • 14. face his/her own pupil constricted, and this was not true for other emotional expressions. The degree to which people mir- rored the pupil in sadness also predicted their empathy scores. Within the brain, this effect was expressed in the activity of a dorsal brainstem region that contained the (Edinger-Westphal) nuclei controlling one’s own pupil (activity within this same region also correlated with the degree of contagion of pupils) (Harrison et al., 2006). This study highlights the contribution of pupillary signals in communicating emotional states and Critchley & Nagai Embodiment of Emotion 167 the embodiment (simulation/mimicking/contagion) of those responses in the viewer in a way that follows the individual empathetic responses, but which may also directly influence judgements of emotion (either because dilated pupils compro- mise visual accommodation, or because there is active feedback from the pupil muscle itself; a topic of ongoing experimental study). For pupils the effect is powerful for sadness and does not appear to generalize to other expressions of emotion. A further neuroimaging study examined what happens in the brain when two people are engaged in dynamic eye-to-eye contact and experience either matching or unmatched changes in pupil size (Harrison, Gray, & Critchley, 2009). A stimulus (pair of eyes) was linked to the output of an eye tracker in the fMRI scanner. For some periods, when the viewers’ pupils constricted, the stimulus pupils constricted, and for other periods, when the viewer’s pupils constricted, the stimulus pupils dilated. We found the following: The more the stimulus pupils changed in size, the more activity was evoked within amygdala and STS. When pupils varied congruently (coupled in the same direction),
  • 15. there was little extra effect on brain activity. However, when the size of observed (stimulus) pupils changed in the opposite way to the pupils of the viewer, this powerfully activated brain region linked to emotional arousal (including anterior cingulate and insula cortices), indicating that pupil mismatch is an important cue to evoking activity within the “salience network” (Seeley et al., 2007). A speculative interpretation is that if you are talking to another person, pupils tend to harmonize, both because of ambient lighting and “bodily attunement” through shared emo- tionality. If there is an unexpected, unmirrored change in your companion’s pupillary state of arousal, this breaks the harmoni- zation and is a salient event signalled in the brain, which may be of sufficient magnitude to interrupt the flow of cognition and behavior and redirect attention toward the other’s mental state. This effect during eye-to-eye contact is dependent on subconscious feedback from your own pupils against which the pupillary responses of another person are gauged. Clinically, the reactivity of pupils is compromised in depression. In sadness and pain, the mechanisms through which the pupils constrict can be uncou- pled from the reactivity to ambient light. General Conclusions Bodily states act as a context for emotions, shaping affective processes in a manner similar to the effects of external contexts and occasion setters (Bouton, 2001). However, they do more, as they are a source of affective feeling that arises from highly patterned physiological states. The changing representation of internal bodily “self” exerts a dynamic contextual effect on emotional processing (even changing within a single heartbeat). The same basic mechanisms appear to underlie brain–body interaction across different timeframes from baroreceptor acti-
  • 16. vation, emotion-evoked autonomic reactions, embodied mood states, and tonic interoceptive perturbations associated with illness and inflammation. These mechanisms also extend beyond the individual to the communication and exchange of emotional states and can be engaged to appraise the feelings of others. Neuroimaging in combination with physiological monitoring permits the dissection of these processes at the level of coordinated neural systems, competing processes, and modular substrates for experience and behavior. These basic approaches in healthy individuals allow us to address in a more comprehensive manner states of psychopathology in which constitutional differences in physiological reactivity or interoceptive sensitivity are linked to vulnerability to mood and anxiety disorders, the presence of daily mood and anxiety symp- toms, and fluidity of social interaction (Fukushima, Terasawa, & Umeda, 2011; Hubert, Wicker, Monfardini, & Deruelle, 2009; Paulus & Stein, 2010). At a deeper level it has been argued that viscerosensory mechanisms are central to integrity of self (Damasio, 2010). Individual differences in interoceptive awareness not only predict sensitivity to the occurrence of mood symptoms (Critchley et al., 2004; Paulus & Stein, 2010), but also susceptibility to illusory distortions in self-representation (Tsakiris, Tajadura-Jiménez, & Costantini, 2011). Dysfunctional processing of the mismatch between predicted and actual internal bodily states (prediction errors) has been proposed to underlie anxiety disorder (Paulus & Stein, 2010) and psychosis (Palaniyappan & Liddle, 2011). Research into the control of bodily states provides a grounded approach to the neurobiology of subjective experience, without which understanding of psychiatric illness would be impoverished. References Bouton, M. (2001). Theories of associative learning in animals. Annual
  • 17. Review of Psychology, 52, 111–139. Cannon, W. B. (1927). The James–Lange theory of emotions. The American Journal of Psychology, 39, 115–124. Carney, R. M., Freedland, K. E., & Veith, R. C. (2005). Depression, the autonomic nervous system, and coronary heart disease [Supplemental material]. Psychosomatic Medicine, 67, 1, S29–S33. Cavanna, A. E., Robertson, M. M., & Critchley, H. D. (2008). Catatonic signs in Gilles de la Tourette syndrome. Cognitive and Behavioral Neurology, 21(1), 34–37. Craig, A. D. (2004). Human feelings: Why are some more aware than others? Trends in Cognitive Sciences, 8, 239–241. Critchley, H. D. (2009). Psychophysiology of neural, cognitive and affective integration: fMRI and autonomic indicants. International Journal of Psychophysiology, 73(2), 88–94. Critchley, H. D., Mathias, C. J., & Dolan, R. J. (2001). Neuroanatomical basis for first- and second-order representations of bodily states. Nature Neuroscience, 4, 207–212. Critchley, H. D., Mathias, C. J., & Dolan, R. J. (2002). Fear conditioning
  • 18. in humans: The influence of awareness and autonomic arousal on functional neuroanatomy. Neuron, 33, 653–663. Critchley, H. D., Nagai, Y., Gray, M. A., & Mathias, C. J. (2011). Dissect- ing axes of autonomic control in humans: Insights from neuroimaging. Autonomic Neuroscience: Basic & Clinical, 161, 34–42. Critchley, H. D., Wiens, S., Rotshtein, P., Ohman, A., & Dolan, R. J. (2004). Neural systems supporting interoceptive awareness. Nature Neuroscience, 7, 189–195. Damasio, A. R. (1994). Descartes’ error: Emotion, reason and the human brain. New York, NY: Grosset/Putnam. Damasio, A. R. (1999). The feeling of what happens: Body and emotion in the making of consciousness. New York, NY: Harcourt Brace. Damasio, A. R. (2001). Fundamental feelings. Nature, 413, 781. Damasio, A. R. (2010). Self comes to mind. New York, NY: Pantheon. Damasio, A. R., Tranel, D., & Damasio, H. C. (1991). Somatic markers and the guidance of behavior: Theory and preliminary testing. In H. S. 168 Emotion Review Vol. 4 No. 2
  • 19. Levin, H. M. Eisenberg & L. B. Benton (Eds.), Frontal lobe function and dysfunction (pp. 217–229). New York, NY: Oxford University Press. Dantzer, R., & Kelley, K. W. (2007). Twenty years of research on cytokine- induced sickness behavior. Brain, Behavior and Immunity, 21, 153–160. Darwin, C. (1998). The expression of the emotions in man and animals (3rd ed., P. Ekman, Ed.). New York, NY: Oxford University Press. Davis, J. I., Senghas, A., Brandt, F., & Ochsner, K. N. (2010). The effects of BOTOX injections on emotional experience. Emotion, 1, 433–440. de Gelder, B., Meeren, H. K., Righart, R., van den Stock, J., van de Riet, W. A., & Tamietto, M. (2006). Beyond the face: Exploring rapid influences of context on face processing. Progress in Brain Research, 155, 37–48. Dimberg, U., Thunberg, M., & Elmehed, K. (2000). Unconscious facial reac- tions to emotional facial expressions. Psychological Science, 11, 86–89. Drevets, W. C., Price, J. L., Simpson, J. R., Jr., Todd, R. D., Reich, T., Vannier, M., & Raichle, M. E. (1997). Subgenual prefrontal cortex
  • 20. abnormalities in mood disorders. Nature, 386, 824–827. Ekman, P. (1972). Universals and cultural differences in facial expressions of emotion. In J. Cole (Ed.), Nebraska Symposium on Motivation 1971 (Vol. 19, pp. 207–283). Lincoln, NE: University of Nebraska Press. Ekman, P., & Friesen, W. (1978). Facial action coding system: A technique for the measurement of facial movement. Palo Alto, CA: Consulting Psychologists Press. Ekman, P., Levenson, R. W., & Friesen, W. V. (1983). Autonomic nervous system activity distinguishes among emotions. Science, 221, 1208–1210. Fukushima, H., Terasawa, Y., & Umeda, S. (2011). Association between interoception and empathy: Evidence from heartbeat-evoked brain potential. International Journal of Psychophysiology, 79, 259– 265. Gilbey, M. P. (2007). Sympathetic rhythms and nervous integration. Clinical Experimental Pharmacology and Physiology, 34, 356– 361. Gillberg, C., & Steffenburg, S. (1989). Autistic behaviour in Moebius syndrome. Acta Paediatrica Scandinavica, 78, 314–316.
  • 21. Gray, M. A., Beacher, F. D., Minati, L., Nagai, Y., Kemp, A. H., Harrison, N. A., & Critchley, H. D. (2011). Emotional appraisal is influenced by cardiac afferent information. Emotion. Advance online publication. doi: 10.1037/a0025083 Gray, M. A., Minati, L., Paoletti, G., & Critchley, H. D. (2010). Baroreceptor activation attenuates attentional effects on pain-evoked potentials. Pain, 151, 853–861. Gray, M. A., Rylander, K., Harrison, N. A., Wallin, B. G., & Critchley, H. D. (2009). Following one’s heart: Cardiac rhythms gate central initiation of sympathetic reflexes. The Journal of Neuroscience, 29, 1817– 1825. Harrison, N. A., Brydon, L., Walker, C., Gray, M. A., Steptoe, A., & Critchley, H. D. (2009). Inflammation causes mood changes through alterations in subgenual cingulate activity and mesolimbic connectivity. Biological Psychiatry, 66, 407–414. Harrison, N. A., Brydon, L., Walker, C., Gray, M. A., Steptoe, A., Dolan, R. J., & Critchley, H. D. (2009). Neural origins of human sickness in intero- ceptive responses to inflammation. Biological Psychiatry, 66, 415–422.
  • 22. Harrison, N. A., Gray, M. A., & Critchley, H. D. (2009). Dynamic pupillary exchange engages brain regions encoding social salience. Social Neuroscience, 4, 233–243. Harrison, N. A., Gray, M. A., Gianaros, P. J., & Critchley, H. D. (2010). The embodiment of emotional feelings in the brain. The Journal of Neuroscience, 30, 12878–12884. Harrison, N. A., Singer, T., Rotshtein, P., Dolan, R. J., & Critchley, H. D. (2006). Pupillary contagion: Central mechanisms engaged in sadness processing. Social Cognitive and Affective Neuroscience, 1, 5– 17. Harrison, N. A., Wilson, C. E., & Critchley, H. D. (2007). Processing of observed pupil size modulates perception of sadness and predicts empathy. Emotion, 7, 724–729. Hubert, B. E., Wicker, B., Monfardini, E., & Deruelle, C. (2009). Electro- dermal reactivity to emotion processing in adults with autistic spectrum disorders. Autism, 13, 9–19. James, W. (1994). Physical basis of emotion. Psychological Review, 101, 205–210. Jänig, W. (2006). The integrative action of the autonomic
  • 23. nervous system: Neurobiology of homeostasis. Cambridge, UK: Cambridge University Press. Katsikitis, M., & Pilowsky, I. (1991). A controlled quantitative study of facial expression in Parkinson’s disease and depression. The Journal of Nervous and Mental Disease, 179, 683–688. Keedwell, P. A., Andrew, C., Williams, S. C., Brammer, M. J., & Phillips, M. L. (2005). The neural correlates of anhedonia in major depressive disorder. Biological Psychiatry, 58, 843–853. Kouakam, C., Lacroix, D., Klug, D., Baux, P., Marquié, C., & Kacet, S. (2002). Prevalence and prognostic significance of psychiatric disorders in patients evaluated for recurrent unexplained syncope. The American Journal of Cardiology, 89, 530–535. Kreibig, S. D. (2010). Autonomic nervous system activity in emotion: A review. Biological Psychology, 84, 394–421. Lange, C. G. (1885). The mechanism of the emotions. In B. Rand (Ed.), The classical psychologist (pp. 672–685). Boston, MA: Houghton Mifflin. Lee, T. W., Dolan, R. J., & Critchley, H. D. (2008). Controlling emotional
  • 24. expression: Behavioral and neural correlates of nonimitative emotional responses. Cerebral Cortex, 18, 104–113. Lee, T. W., Dolan, R. J., & Critchley, H. D. (2011). Expression- induced bias in processing of facial emotions. Manuscript in preparation. Mayberg, H. S., Brannan, S. K., Tekell, J. L., Silva, J. A., Mahurin, R. K., McGinnis, S., & Jerabek, P. A. (2000). Regional metabolic effects of fluoxetine in major depression: Serial changes and relationship to clinical response. Biological Psychiatry, 48, 830–843. Mayberg, H. S., Lozano, A. M., Voon, V., McNeely, H. E., Seminowicz, D., Hamani, C., . . . Kennedy, S. H. (2005). Deep brain stimulation for treatment-resistant depression. Neuron, 45, 651–660. Olatunji, B. O., Cisler, J., McKay, D., & Phillips, M. L. (2010). Is disgust associated with psychopathology? Emerging research in the anxiety disorders. Psychiatry Research, 175, 1–10. Palaniyappan, L., & Liddle, P. (2011). Does the salience network play a cardinal role in psychosis? An emerging hypothesis of insular dysfunction. Journal of Psychiatry and Neuroscience, 36(4), 1– 11. doi: 10.1503/jpn.100176
  • 25. Panksepp, J. (1998). Affective neuroscience: The foundations of human and animal emotions. New York, NY: Oxford University Press. Paulus, M. P., & Stein, M. B. (2010). Interoception in anxiety and depression. Brain Structure and Function, 214, 451–463. Porges, S. W. (1997). Emotion: An evolutionary by-product of the neural regulation of the autonomic nervous system. Annals of the New York Academy of Sciences, 807, 62–77. Rainville, P., Bechara, A., Naqvi, N., & Damasio, A. R. (2006). Basic emotions are associated with distinct patterns of cardiorespiratory activity. International Journal of Psychophysiology, 61, 5–18. Rees, G., & Seth, A. K. (2010). The cognitive neuroscience of consciousness. Cognitive Neuroscience, 1, 153–154. Schachter, S., & Singer, J. E. (1962). Cognitive, social and physiological determinants of emotional state. Psychological Review, 69, 379–399. Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., . . . Greicius, M. D. (2007). Dissociable intrinsic connectiv- ity networks for salience processing and executive control. The Journal of Neuroscience, 27, 2349–2356.
  • 26. Sonnby-Borgström, M. (2002). Automatic mimicry reactions as related to differences in emotional empathy. Scandinavian Journal of Psychology, 43, 433–443. Strack, F., Martin, L. L., & Stepper, S. (1988). Inhibiting and facilitating conditions of the human smile: A nonobtrusive test of the facial feedback hypothesis. Journal of Personality and Social Psychology, 54, 768–777. Tsakiris, M., Tajadura-Jiménez, A. T., & Costantini, M. (2011). Just a heartbeat away from one’s body: Interoceptive sensitivity predicts malleability of body-representations. Proceedings of the Royal Society: Biological Sciences, 278, 2470–2476.