title: Functional imaging of stroke recovery: an ecological review from a neural network perspective with an emphasis on motor systems.
abstract: 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.
authors.affiliation: Stroke Clinic, Brain Health Clinic, Baycrest Centre for Geriatric Care, Toronto, Canada. jween@klaru-baycrest.on.ca
authors.forename: Jon Erik
authors.initials: JE
authors.lastname: Ween
mesh_terms: 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