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C.E.N.T.
               Computer Enabled Neuroplasticity Treatment

                                                                              Cognitive Science Unit,
    C O G N I T I V E S C I E NC E                                       Department of Behavioral Sciences
U N I V E R S I T Y OF H E L S I N K I

4th SEPTEMBER 2012                                                                                                                                 UNIVERSITY OF HELSINKI, FINLAND


University of Helsinki introduces Neurofeedback                        Piloting phase. NFB training for the assistants who were to              The training itself is based on thresholds calculated from base-
to Finland. Finland is heavily invested in cutting-                    administer the treatment was structured as a validation-test pilot       line measurements. Currently two NFB protocols are supported,
                                                                       study where each trainer also acted as a patient, learning the sub-      theta-beta (the default option) and SMR; one of these is chosen
edge brain science, yet it has never before had                        jective experience of NFB.                                               by the trainer at the beginning of a session.
dealings with neurofeedback (NFB), either in re-                       Treatment phase Treatment is conducted in the clinics of part-
search or clinical practice. However research on                       ner MCC, with patients scheduled to attend on average 3 times
ADHD in Finland has developed strongly (e.g.                           per week. Treatment is ongoing. Every 10 sessions, patients report       REFERENCES
                                                                       on their quality of life and sleep (using Q-LES-Q(SF) - Quali-
Helenius et al., 2011, Gumenyuk et al., 2004)                          ty of Life Enjoyment and Satisfaction Questionnaire and PSQI -
                                                                                                                                                                                                    ¨ ¨
                                                                                                                                                Almqvist F. (2004). Aktiivisuuden ja tarkkaavuuden hairiot.
                                                                                                                                                                  ¨ ¨
                                                                                                                                                Eds. Moilanen I, Rasanen E, Tamminen T, Almqvist F, Piha J,
and thus provides a good ground for the intro-                         Pittsburgh Sleep Questionnaire). Exhibition of ADHD/ADD re-              Kumpulainen K. Lasten- ja nuorisopsykiatria. Kustannus Oy
                                                                                                                                                Duodecim, 240-9.
duction of neurofeedback into Finland.                                 lated symptoms and expectations on treatment outcome are also            Borkovec, T.D. & Sibrava, N.J. (2005). Problems with the
                                                                       monitored (through ASRS - Adult ADHD Self-Report Scale and               use of placebo conditions in psychotherapy research, sug-
                                                                                                                                                gested alternatives, and some strategies for the pursuit of
                                                                       placebo questionnaire of Borkovec and Sibrava (2005).                    the placebo phenomenon. Journal of Clinical Psychology,
On par with more global estimates (Polanczyk et                                                                                                 61(7), 805-818.
al., 2007), the prevalence of ADHD in Finnish                                                                                                   Smalley, S.L., McGough J.J., Moilanen I.K., Loo S.K., Taanila
                                                                                                                                                A. et al. (2007). Prevalence and psychiatric comorbidity of
8-year-olds is estimated at 4% (DSM-III) (Alm-                                                                                                  attention-deficit/hyperactivity disorder in an adolescent
                                                                                                                                                Finnish population. J Am Acad Child Adolesc Psychiatry, 46,
qvist 2004), while among Finnish 16-18 year                                                                                                     1575-83
olds it rises to 8.5% (DSM-IV) (Smalley et al.,                                                                                                    ¨                        ´
                                                                                                                                                Zoega, H., Furu, K., Halldorsson, M., Thomsen, P. H., Sou-
                                                                                                                                                rander, A. & Martikainen, J. E. (2011). Use of ADHD drugs
2007). Indeed, given that in Finland medication                                                                                                 in the Nordic countries: a population-based comparison stu-
                                                                                                                                                dy. Acta Psychiatrica Scandinavica, 123, 360–367.
therapy for ADHD is lowest among all Scandi-                                                                                                    Polanczyk, G., de Lima, M. S., Horta, B. L., Biederman, J.,
navian countries (Zo ega et al., 2011), Finland’s                                                                                               & Rohde, L. A. (2007). The worldwide prevalence of ADHD:
                                                                                                                                                a systematic review and metaregression analysis. The Ame-
need for other treatments may be substantial.                                                                                                   rican journal of psychiatry, 164(6), 942-8.
                                                                                                                                                Gumenyuk, V., Korzyukov, O., Alho, K., Escera, C., &
                                                                                                                                                  ¨¨ ¨
                                                                                                                                                Naatanen, R. (2004). Effects of auditory distraction on
The CENT project will conduct a study on the effects of NFB on                                                                                   electrophysiological brain activity and performance in
                                                                                                                                                children aged 8-13 years. Psychophysiology, 41(1), 30-6.
adult ADHD within Finland. Research is being conducted by the                                                                                   Helenius, P., Laasonen, M., Hokkanen, L., Paetau, R., & Niemi-
                                                                                                                                                virta, M. (2011). Impaired engagement of the ventral atten-
Cognitive Science Unit at the Institute of Behavioural Sciences,                                                                                tional pathway in ADHD. Neuropsychologia, 49(7), 1889-96.
Helsinki University, with NFB conducted by trained technicians
supervised by qualified psychotherapists. Software is custom-built
for the project, with games sourced from local companies.



STUDY DESIGN
                                                                       Fig.2 Timeline schematic of the Cent study.
The experiment aims to test the efficacy of neurofeedback for
adults with either ADHD or ADD by randomized controlled cli-
nical trial (RCT). The persistence of the treatment effects will also
be tested with a follow-up study. Additionally we will study the
neurological symptoms of adult ADHD/ADD using laboratory-
                                                                       HARDWARE
grade EEG to examine the Event-Related Potentials (ERP) of             The study is using Neuroelectrics’ Enobio system to feedback pa-
patients as they perform attentional tasks, and analyse the pat-       tient’s EEG signals. Enobio is a wireless 4-channel active-electrode
terns of hemispheric activity that characterise them. Both latter      EEG amplifier, which can utilise wet or dry electrodes interchan-
studies will use control groups of healthy non-ADHD/ADD sub-           geably. With dry electrodes, uncomfortable abrasive skin prepa-
jects.                                                                 ration and messy gel is not needed, so recording can start almost
                                                                       immediately after the subject is ready and electrochemical equili-
Figure 2. shows the study design, with tasks interrelated in time-     brium is established.
line format. From summer 2011 the research, design and prepa-
ration work have been ongoing, ramping up in stages until the
beginning of 2012. Thereafter, the study began in earnest:
                                                                       Sampling rate: 250Hz

                                                                       Frequency range: DC-125Hz

                                                                       Common-Mode Rejection Ratio: 92dB

                                                                       Signal-to-Noise Ratio: 83dB

                                                                       Electrodes: active sintered Ag/AgCl

                                                                       Amplifier noise: 0.5 µV

                                                                       Driven-Right leg reference
                                                                                                                                                Fig.3 Screenshot of the software used in CENT
                                                                       Low-powered radio connection

Fig.1 EEG-based brain-computer interface
                                                                                                                                                RESEARCHERS
                                                                                                                                                Project Leader: Prof. Christina Krause
Research phase. Research was conducted into the disorder,
prior NFB studies, and Brain-Computer Interface technology;
                                                                       SOFTWARE                                                                 Lead Researcher: PhD Ben Cowley
                                                                                                                                                Research Assistants: Mona Moisala, Kristiina
using literature review and importantly, fact-finding in centres        A new software platform was developed by the Finnish company             Juurmaa, Svetlana Kirjanen, Marko Repo
of NFB across Europe: Brainclinics in Nijmegen, Netherlands;           BLStream for the study, integrating OpenVibe platform’s signal           Psychiatric Consultant: Dr. Leo Kovarskis
Heckscher Klinikum in Munchen and Niels Birbaumer’s lab at
                           ¨                                           analysis capabilities with a graphical user interface designed for the   Psychological Consultant: Prof. Laura Hokkanen
University of Tubingen, both in Germany.
                 ¨                                                     project. The platform gives the researcher or clinician the option
Design phase. In preparation for the study we obtained Ethical         to use different neurofeedback protocols and activities, for example
Approval from the Ethics Committee of Greater Helsinki region;
recruited patients through clinical partners and targeted adverti-
                                                                       different games or auditory content. The program records relevant
                                                                       background information on the patient’s state before each session
                                                                                                                                                PARTNERS
sing campaigns; and screened and conducted intake measurements         and tracks the patient’s progress as the treatment proceeds.
of the patients:                                                                                                                                Software                        Clinical
- Wechsler’s short-form IQ,                                            The program is designed for a dual-monitor setup, with separate          BLStream                        Mental Capital Care
- 128 channel Event-Related Potentials (ERP),                          monitors for the therapist and the patient. In principle it is pos-      Ludocraft                       YHTS
- Test Of Variables of Attention (TOVA) with EEG,                      sible for the patient and the therapist to be in different locations      Secret Exit
- Vigilance monitoring with EEG.                                       while training, thus enabling tele-neurofeedback.                        Kuuasema
                                                                                                                                                Spinverse Oy

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Computer Enabled Neuroplasticity Treatment

  • 1. C.E.N.T. Computer Enabled Neuroplasticity Treatment Cognitive Science Unit, C O G N I T I V E S C I E NC E Department of Behavioral Sciences U N I V E R S I T Y OF H E L S I N K I 4th SEPTEMBER 2012 UNIVERSITY OF HELSINKI, FINLAND University of Helsinki introduces Neurofeedback Piloting phase. NFB training for the assistants who were to The training itself is based on thresholds calculated from base- to Finland. Finland is heavily invested in cutting- administer the treatment was structured as a validation-test pilot line measurements. Currently two NFB protocols are supported, study where each trainer also acted as a patient, learning the sub- theta-beta (the default option) and SMR; one of these is chosen edge brain science, yet it has never before had jective experience of NFB. by the trainer at the beginning of a session. dealings with neurofeedback (NFB), either in re- Treatment phase Treatment is conducted in the clinics of part- search or clinical practice. However research on ner MCC, with patients scheduled to attend on average 3 times ADHD in Finland has developed strongly (e.g. per week. Treatment is ongoing. Every 10 sessions, patients report REFERENCES on their quality of life and sleep (using Q-LES-Q(SF) - Quali- Helenius et al., 2011, Gumenyuk et al., 2004) ty of Life Enjoyment and Satisfaction Questionnaire and PSQI - ¨ ¨ Almqvist F. (2004). Aktiivisuuden ja tarkkaavuuden hairiot. ¨ ¨ Eds. Moilanen I, Rasanen E, Tamminen T, Almqvist F, Piha J, and thus provides a good ground for the intro- Pittsburgh Sleep Questionnaire). Exhibition of ADHD/ADD re- Kumpulainen K. Lasten- ja nuorisopsykiatria. Kustannus Oy Duodecim, 240-9. duction of neurofeedback into Finland. lated symptoms and expectations on treatment outcome are also Borkovec, T.D. & Sibrava, N.J. (2005). Problems with the monitored (through ASRS - Adult ADHD Self-Report Scale and use of placebo conditions in psychotherapy research, sug- gested alternatives, and some strategies for the pursuit of placebo questionnaire of Borkovec and Sibrava (2005). the placebo phenomenon. Journal of Clinical Psychology, On par with more global estimates (Polanczyk et 61(7), 805-818. al., 2007), the prevalence of ADHD in Finnish Smalley, S.L., McGough J.J., Moilanen I.K., Loo S.K., Taanila A. et al. (2007). Prevalence and psychiatric comorbidity of 8-year-olds is estimated at 4% (DSM-III) (Alm- attention-deficit/hyperactivity disorder in an adolescent Finnish population. J Am Acad Child Adolesc Psychiatry, 46, qvist 2004), while among Finnish 16-18 year 1575-83 olds it rises to 8.5% (DSM-IV) (Smalley et al., ¨ ´ Zoega, H., Furu, K., Halldorsson, M., Thomsen, P. H., Sou- rander, A. & Martikainen, J. E. (2011). Use of ADHD drugs 2007). Indeed, given that in Finland medication in the Nordic countries: a population-based comparison stu- dy. Acta Psychiatrica Scandinavica, 123, 360–367. therapy for ADHD is lowest among all Scandi- Polanczyk, G., de Lima, M. S., Horta, B. L., Biederman, J., navian countries (Zo ega et al., 2011), Finland’s & Rohde, L. A. (2007). The worldwide prevalence of ADHD: a systematic review and metaregression analysis. The Ame- need for other treatments may be substantial. rican journal of psychiatry, 164(6), 942-8. Gumenyuk, V., Korzyukov, O., Alho, K., Escera, C., & ¨¨ ¨ Naatanen, R. (2004). Effects of auditory distraction on The CENT project will conduct a study on the effects of NFB on electrophysiological brain activity and performance in children aged 8-13 years. Psychophysiology, 41(1), 30-6. adult ADHD within Finland. Research is being conducted by the Helenius, P., Laasonen, M., Hokkanen, L., Paetau, R., & Niemi- virta, M. (2011). Impaired engagement of the ventral atten- Cognitive Science Unit at the Institute of Behavioural Sciences, tional pathway in ADHD. Neuropsychologia, 49(7), 1889-96. Helsinki University, with NFB conducted by trained technicians supervised by qualified psychotherapists. Software is custom-built for the project, with games sourced from local companies. STUDY DESIGN Fig.2 Timeline schematic of the Cent study. The experiment aims to test the efficacy of neurofeedback for adults with either ADHD or ADD by randomized controlled cli- nical trial (RCT). The persistence of the treatment effects will also be tested with a follow-up study. Additionally we will study the neurological symptoms of adult ADHD/ADD using laboratory- HARDWARE grade EEG to examine the Event-Related Potentials (ERP) of The study is using Neuroelectrics’ Enobio system to feedback pa- patients as they perform attentional tasks, and analyse the pat- tient’s EEG signals. Enobio is a wireless 4-channel active-electrode terns of hemispheric activity that characterise them. Both latter EEG amplifier, which can utilise wet or dry electrodes interchan- studies will use control groups of healthy non-ADHD/ADD sub- geably. With dry electrodes, uncomfortable abrasive skin prepa- jects. ration and messy gel is not needed, so recording can start almost immediately after the subject is ready and electrochemical equili- Figure 2. shows the study design, with tasks interrelated in time- brium is established. line format. From summer 2011 the research, design and prepa- ration work have been ongoing, ramping up in stages until the beginning of 2012. Thereafter, the study began in earnest: Sampling rate: 250Hz Frequency range: DC-125Hz Common-Mode Rejection Ratio: 92dB Signal-to-Noise Ratio: 83dB Electrodes: active sintered Ag/AgCl Amplifier noise: 0.5 µV Driven-Right leg reference Fig.3 Screenshot of the software used in CENT Low-powered radio connection Fig.1 EEG-based brain-computer interface RESEARCHERS Project Leader: Prof. Christina Krause Research phase. Research was conducted into the disorder, prior NFB studies, and Brain-Computer Interface technology; SOFTWARE Lead Researcher: PhD Ben Cowley Research Assistants: Mona Moisala, Kristiina using literature review and importantly, fact-finding in centres A new software platform was developed by the Finnish company Juurmaa, Svetlana Kirjanen, Marko Repo of NFB across Europe: Brainclinics in Nijmegen, Netherlands; BLStream for the study, integrating OpenVibe platform’s signal Psychiatric Consultant: Dr. Leo Kovarskis Heckscher Klinikum in Munchen and Niels Birbaumer’s lab at ¨ analysis capabilities with a graphical user interface designed for the Psychological Consultant: Prof. Laura Hokkanen University of Tubingen, both in Germany. ¨ project. The platform gives the researcher or clinician the option Design phase. In preparation for the study we obtained Ethical to use different neurofeedback protocols and activities, for example Approval from the Ethics Committee of Greater Helsinki region; recruited patients through clinical partners and targeted adverti- different games or auditory content. The program records relevant background information on the patient’s state before each session PARTNERS sing campaigns; and screened and conducted intake measurements and tracks the patient’s progress as the treatment proceeds. of the patients: Software Clinical - Wechsler’s short-form IQ, The program is designed for a dual-monitor setup, with separate BLStream Mental Capital Care - 128 channel Event-Related Potentials (ERP), monitors for the therapist and the patient. In principle it is pos- Ludocraft YHTS - Test Of Variables of Attention (TOVA) with EEG, sible for the patient and the therapist to be in different locations Secret Exit - Vigilance monitoring with EEG. while training, thus enabling tele-neurofeedback. Kuuasema Spinverse Oy