Functional imaging of stroke recovery: an ecological review from a neural network perspective with an emphasis on motor systems.
Functional imaging is beginning to outline the brain's functional architecture and mechanisms of recovery from injury. I will review primarily the motor-function literature from normal populations, learning trials, stroke recovery, and rehabilitation with a neural network approach that may prove fruitful in further advancing our understanding of brain plasticity in response to focal lesions. A key consideration in this review will be how the development of distributed motor networks might constrain recovery as a function of the altered connectivity between damaged and nondamaged areas. It will be argued that this connectivity is central to both recovery from injury and response to treatment.
Ween
Jon Erik
JE
Stroke Clinic, Brain Health Clinic, Baycrest Centre for Geriatric Care, Toronto, Canada. jween@klaru-baycrest.on.ca
D003952:Diagnostic Imaging; D006801:Humans; D008279:Magnetic Resonance Imaging; D015233:Models, Statistical; D009044:Motor Cortex / Q000503:physiopathology*; D009415:Nerve Net / Q000502:physiology*; D009473:Neuronal Plasticity / Q000502:physiology; D020127:Recovery of Function / Q000502:physiology*; D020521:Stroke / Q000503:physiopathology*; D000071939:Stroke Rehabilitation