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Dinesh Italian Diabetes Society.pptx
1. I am currently Senior Lecturer in Diabetes at University of
Sheffield. My research focus is applying multimodal
magnetic resonance neuroimaging to characterize the
central pain mechanisms in diabetic neuropathy. I am
amongst the world’s leading clinical researches looking into
the causes, treatment and prevention of diabetic
neurpathy, exemplified by my award of 1st Prize at the 5th
NeupSIG International Congress on Neuropathic Pain
(2015), the Goran Sundquist NeuroDIAB Prize for Young
Clinical Investigator of the Year (2012), 1st prize at Finnish
Diabetes Association ‘Diabetes a Threat to Mankind’
Research (2013) and the STEM for Britain Research Award
for Biomedical Science by the Parliamentary and Scientific
Committee (2011).
Dr Dinesh Selvarajah MBChB,
MRCP, PhD
2. Diabetic Neuropathy: New Insights from Brain Imaging
Dr Dinesh Selvarajah
Senior Lecturer in Diabetes
Department of Human
Metabolism
University of Sheffield
Sheffield, UK
3. Symmetric, length dependent, sensory-motor neuropathy
Affects 30-50% of all diabetic people1
Strongest risk factor for foot ulcer1 and amputation2
Diabetic Polyneuropathy (DPN)
Pain
4. “I experience sharp electric
shocks that shoot up my legs”
“When I walk it feels as if I am
stepping on broken glass”
Pain in diabetic neuropathy
5. Multidimensionality of Painful DPN
Anxiety
Depression
Anger
Fear
Loss of
confidence
Psychological
Job loss
Marital
disharmony
Isolation
Loss of social
status
Social
17. Areas of significant change in the
endogenous opioid transmission
during pain-related experiences
Areas of greater functional connectivity
in responders to neuropathic pain
treatment
HYPOTHESIS:
Responders to neuropathic pain treatment have better
target engagement of opioid receptor systems compared
to non-responders
19. ICA Deep Learning Classification Workflow
A - 30 group-level ICA networks
from all subjects
B - 7 and 30 components chosen
C - Dual regression to extract
subject
specific spatial ICA maps
D - 5-fold cross validation
(18/5- train/test split)
E - Train tuning and testing
D
20.
21. • Significant CNS involvement in DPN
• Pain phenotyping will be increasingly utilised in RCTs to stratify those
that may respond to a particular treatment.
• Neuroimaging may have a role in pain phenotyping
• Advances in artificial intelligence and machine learning will
facillitate this
Conclusions