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Simon J. Graham

Researcher at University of Toronto

Publications -  117
Citations -  3722

Simon J. Graham is an academic researcher from University of Toronto. The author has contributed to research in topics: Concussion & Functional magnetic resonance imaging. The author has an hindex of 34, co-authored 116 publications receiving 3172 citations. Previous affiliations of Simon J. Graham include Women's College, Kolkata & Sunnybrook Health Sciences Centre.

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Physiotherapy Coupled With Dextroamphetamine for Rehabilitation After Hemiparetic Stroke: A Randomized, Double-Blind, Placebo-Controlled Trial

TL;DR: In stroke patients with a severe motor deficit, 10 mg AMPH coupled with physiotherapy twice per week for 5 weeks in the early poststroke period provided no additional benefit in motor or functional recovery compared with physiotherapist alone.
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Brain activity during driving with distraction: an immersive fMRI study

TL;DR: The findings suggest that the distracted brain sacrificed areas in the posterior brain important for visual attention and alertness to recruit enough brain resources to perform a secondary, cognitive task.
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In vivo characterization of traumatic brain injury neuropathology with structural and functional neuroimaging.

TL;DR: Results indicate that TBI causes a more widely dispersed activation in frontal and posterior cortices, and further progress in analysis of the consequences of TBI on neural structure and function will require control of variability in neuropathology and behavior.
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Optimizing preprocessing and analysis pipelines for single-subject fMRI. I. Standard temporal motion and physiological noise correction methods.

TL;DR: It is shown that the quality of brain activation maps may be significantly limited by sub‐optimal choices of data preprocessing steps (or “pipeline”) in a clinical task‐design, an fMRI adaptation of the widely used Trail‐Making Test, and that individually‐optimized pipelines may significantly improve the reproducibility of fMRI results over fixed pipelines.
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Investigation of fMRI neurofeedback of differential primary motor cortex activity using kinesthetic motor imagery

TL;DR: Results indicate that fMRI NF of kMI is capable of modulating brain activity in primary motor regions in a subset of the population, and such methods may be useful in the development of NF training methods for enhancing motor rehabilitation following stroke.