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Nathan C. Rowland
Researcher at University of California, San Francisco
Publications - 32
Citations - 565
Nathan C. Rowland is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Medicine & Deep brain stimulation. The author has an hindex of 10, co-authored 24 publications receiving 495 citations. Previous affiliations of Nathan C. Rowland include Emory University.
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Journal ArticleDOI
A meta-analysis of predictors of seizure freedom in the surgical management of focal cortical dysplasia.
Nathan C. Rowland,Dario J. Englot,Tene A. Cage,Michael E. Sughrue,Nicholas M. Barbaro,Edward F. Chang +5 more
TL;DR: Using a large population cohort pooled from the published literature, an analysis identified important factors that are prognostic in patients with epilepsy due to FCD-diagnostic imaging and resection provide modalities through which improvements in the impact of FCD can be effected.
Journal ArticleDOI
Coding of tactile response properties in the rat deep cerebellar nuclei.
Nathan C. Rowland,Dieter Jaeger +1 more
TL;DR: The responses in the DCN of rats to air-puff stimuli differ substantially from cerebellar cortical responses in their receptive field properties and do not provide a robust code of tactile stimulus properties, but may be tuned to control the timing of a specific task to which its output is linked.
Journal ArticleDOI
Task-related activity in sensorimotor cortex in Parkinson's disease and essential tremor: changes in beta and gamma bands.
Nathan C. Rowland,Coralie de Hemptinne,Nicole C. Swann,Salman E. Qasim,Svjetlana Miocinovic,Jill L. Ostrem,Robert T. Knight,Robert T. Knight,Philip A. Starr +8 more
TL;DR: An oscillatory profile in sensorimotor cortex of Parkinson's patients that, in contrast to the basal ganglia, may act to promote movement to oppose the anti-kinetic bias of the dopamine-depleted state is suggested.
Journal ArticleDOI
Responses to Tactile Stimulation in Deep Cerebellar Nucleus Neurons Result From Recurrent Activation in Multiple Pathways
Nathan C. Rowland,Dieter Jaeger +1 more
TL;DR: Simultaneous recordings from multiple structures revealed that long-lasting activation patterns elicited in DCN neurons were based on recurrent network activation in particular between the IO and the DCN with a potential contribution of DCN rebound properties, consistent with the hypothesis that sensory stimulation triggers a feedback network activation of cerebellum, IO, and cerebral cortex to generate temporal patterns of activity that may control the timing of behavior.
Journal ArticleDOI
Cortico-Cerebellar Coherence and Causal Connectivity During Slow-Wave Activity
TL;DR: It is found that in ketamine-anesthetized rats, SWA was synchronized between all recorded cortical areas and was phase locked with local field potentials of the GCL, IO and single unit activity in the DCN, and SI had a stronger influence than other cortical areas on DCN activity.