M
Mark Hallett
Researcher at National Institutes of Health
Publications - 1234
Citations - 136876
Mark Hallett is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Transcranial magnetic stimulation & Motor cortex. The author has an hindex of 186, co-authored 1170 publications receiving 123741 citations. Previous affiliations of Mark Hallett include Government of the United States of America & Armed Forces Institute of Pathology.
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Generators of movement-related cortical potentials: fMRI-constrained EEG dipole source analysis.
Keiichiro Toma,Takahiro Matsuoka,Ilka Immisch,Tatsuya Mima,Daniel Waldvogel,Benjamin Koshy,Takashi Hanakawa,Holly A. Shill,Mark Hallett +8 more
TL;DR: To clarify the precise location and timing of the cortical activation in voluntary movement, dipole source analysis integrating multiple constraints wa conducted for the movement-related cortical potentia (MRCP) and deduced patterns of activation similar to that of the bilateral precentral gyri.
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Dystonia with marked diurnal variation associated with biopterin deficiency
TL;DR: Two pairs of siblings with severe dystonia with marked diurnal fluctuation had both reduced CSF concentration of biopterin and marked symptomatic improvement of the Dystonia in response to levodopa.
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Non-invasive differentiation of motor cortical representation of hand muscles by mapping of optimal current directions
TL;DR: This technique improves the spatial resolution of non-invasive cortical mapping and may express the differences in orientations of interneuronal nets in the precentral gyrus.
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Focal dystonia and repetitive motion disorders.
Robert Chen,Mark Hallett +1 more
TL;DR: Current treatment options for focal dystonia include botulinum toxin injections, anticholinergics, baclofen, benzodiazepines, and occupational therapy, and the possibility that sensory training may be beneficial.
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Residual brain dysfunction observed one year post-mild traumatic brain injury: combined EEG and balance study.
TL;DR: The efficacy of serially implemented EEG measures in conjunction with balance assessment over the course of MTBI evolution to document residual cerebral dysfunction was demonstrated and alteration of EEG alpha power dynamics in conjunctionWith balance data in the acute phase of injury with respect to baseline measures may predict the rate of recovery from a single concussive blow.