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About Sickkids
About SickKids

Darren Kadis, PhD

Research Institute
Neurosciences & Mental Health

University of Toronto
Assistant Professor

Phone: (416) 813-7654 ext. 308283
Email: darren.kadis@sickkids.ca

External Email: darren.kadis@utoronto.ca
Alternate Contact: Theresa Dudley
Alternate Phone: (416) 813-7654 ext. 309340
Alternate Email: theresa.dudley@sickkids.ca

Brief Biography

Dr. Kadis received his PhD through the Department of Psychology at the University of Toronto, with a distinction in neuroscience and training in clinical neuropsychology. He conducted his graduate and post-doctoral research at the Hospital for Sick Children, gaining experience with both invasive and noninvasive brain mapping procedures.
During that time, he developed interest in magnetoencephalography (MEG), a fully-noninvasive neuroimaging/neurophysiological technique that allows for the study of neuronal populations firing in coordination.

Dr. Kadis’ expertise in MEG led him to work for several years at the Cincinnati Children’s Hospital, where he served as Scientific Director of their MEG program.

Dr. Kadis currently studies brain-behaviour relationships and neuroplasticity in healthy development and disease. He is interested in how the brain supports language acquisition early in life, how the architecture and dynamics of the language network change in typical development, and how the network is impacted by perinatal or childhood injury.

Research Interests

Dr. Kadis uses non-invasive neuroimaging to study how the brain supports cognition and behaviour in childhood. He is interested in how the brain changes in the course of normal development, in the context of injury or disease, and in response to intervention.

Learning Interests

  • Paediatric language
  • Presurgical mapping
  • Epilepsy, seizure propagation
  • Multimodal neuroimaging, integration
  • Network modeling, pattern recognition, multivariate statistics

External Funding

National Institute on Deafness and Other Communication Disorders (NIDCD/NIH)
Vannest (PI), Kadis (Co-I)
Multimodal Neuroimaging Distinguishes Developmental and Disordered Phenotypes in SSD  - 04/01/19-04/01/21

National Institute of Neurological Disorders and Stroke (NINDS/NIH)
Kadis (PI)
MEG Connectivity-Based Mapping of Critical Language Sites in Children Undergoing Epilepsy Surgery - 09/01/18-09/01/20

NIH Child Health Research Career Award
Barnes-Davis (PI); Kadis (Mentor)
Multimodal Neuroimaging of Preterm Language Connectome: Investigating Biomarkers of Resiliency - 12/01/17-12/01/18

National Personal Protective Technology Laboratory (NPPTL), National Institute for Occupational Safety and Health (NIOSH/CDC)
Bhattacharya/Cecil (PIs); Kadis (Co-I)
Effects of Passive Body Heating on Postural Stability Judgment, Brain Temperature and Activity  - 09/30/15-09/29/18

National Institute of Child Health and Human Development (NICHD/NIH)
Holland (PI); Kadis (Co-I)
The Pediatric Functional Neuroimaging Network - 09/28/09-08/31/14


Recent publications by trainees (bolded) in Dr. Kadis' lab:

Williamson, B. J., Altaye, M., & Kadis D. S. (2019). Detrended connectometry analysis to assess white matter correlates of performance in childhood. NeuroImage, 186, 637-646. DOI: 10.1016/j.neuroimage.2018.11.043

Barnes-Davis, M. E., Merhar, S. L., Holland, S. K., & Kadis, D. S. (2018).  Extremely preterm children exhibit increased interhemispheric connectivity for language – findings from fMRI-constrained MEG analysis.  Developmental Science, 21(6), e12669. DOI: 10.1111/desc.12669

Youssofzadeh, V., Agler, W. M., Tenney, J. T., & Kadis, D. S. (2018). Whole-brain MEG connectivity-based analyses reveals critical hubs in childhood absence epilepsy.  Epilepsy Research, 145, 102-109. DOI: 10.1016/j.eplepsyres.2018.06.001

Youssofzadeh, V., Vannest, J., & Kadis, D. S. (2018). fMRI connectivity of expressive language in young children and adolescents. Human Brain Mapping. DOI: 10.1002/hbm.24196

Youssofzadeh, V., Williamson, B. J., & Kadis, D. S. (2017). Mapping critical language sites in children performing verb generation: Whole-brain connectivity and graph theoretical analysis in MEG. Frontiers in Human Neuroscience, 11(173). DOI: 10.3389/fnhum.2017.00173