K
Kevin M. Spencer
Researcher at Harvard University
Publications - 91
Citations - 7905
Kevin M. Spencer is an academic researcher from Harvard University. The author has contributed to research in topics: Schizophrenia (object-oriented programming) & Schizophrenia. The author has an hindex of 36, co-authored 85 publications receiving 7241 citations. Previous affiliations of Kevin M. Spencer include VA Boston Healthcare System & University of Illinois at Urbana–Champaign.
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Journal ArticleDOI
The mental prosthesis: assessing the speed of a P300-based brain-computer interface
TL;DR: The data indicate that a P300-based BCI is feasible and practical, however, these conclusions are based on tests using healthy individuals, which indicates that an off line version of the system can communicate at the rate of 7.8 characters a minute and achieve 80% accuracy.
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Abnormal Neural Synchrony in Schizophrenia
Kevin M. Spencer,Paul G. Nestor,Margaret A. Niznikiewicz,Dean F. Salisbury,Martha E. Shenton,Robert W. McCarley +5 more
TL;DR: Findings support the hypothesis that schizophrenia is associated with impaired neural circuitry demonstrated as a failure of gamma band synchronization, especially in the 40 Hz range.
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Neural synchrony indexes disordered perception and cognition in schizophrenia.
Kevin M. Spencer,Paul G. Nestor,R. Perlmutter,Margaret A. Niznikiewicz,M. C. Klump,Melissa Frumin,Martha E. Shenton,Robert W. McCarley +7 more
TL;DR: It is reported that, in both healthy controls and schizophrenia patients, visual Gestalt stimuli elicit a gamma-band oscillation that is phase-locked to reaction time and hence may reflect processes leading to conscious perception of the stimuli, but the frequency of this oscillation is lower in schizophrenics than in healthy individuals.
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Spatiotemporal Analysis of the Late ERP Responses to Deviant Stimuli
TL;DR: A novel application of principal components analysis (spatiotemporal PCA) was used to decompose the event-related brain potentials obtained with a dense electrode array, with the purpose of elucidating the late ERP components elicited by deviant stimuli under "attend" and "ignore" conditions.
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Neurophysiological biomarkers for drug development in schizophrenia
TL;DR: Recent advances in neurophysiological techniques provide new opportunities to measure abnormal brain functions in patients with schizophrenia and to compare these with drug-induced alterations, offering unique opportunities for use as translational biomarkers in schizophrenia drug discovery.