Brain networks of complex arm functions after stroke

Stroke is the most frequent neurological disorder leading to long-term disability by an impairment in movement control. In this project we aim to quantify the damage to a patient´s brain with a newly developed method: Tractography-based Lesion Assessment Standard (TractLAS). This tool provides a patient-specific quantification of the whole-brain structural network damage caused by stroke. Therefore, it creates a way to link network damage to clinical symptoms and behavioral impairment.
This project represents a unique scientific direction, since the expertise and previous work of the collaborators complement each other in a unique way: on one hand we will use a new methodological approach to quantify the effect of lesion on disconnection in the whole brain and, on another hand we will provide a thorough and cutting-edge assessment of sensorimotor performance deficits in a group of stroke patients using clinical scores and robotic technology. We believe that this work will result in important neuroscientific, clinical and methodological advances.

Faculty Supervisor:

Christopher J. Steele

Student:

Partner:

Max Planck Institute for Human Cognitive and Brain Sciences

Discipline:

Life Sciences

Sector:

Education

University:

Concordia University

Program: