Zobrazeno 1 - 10
of 18
pro vyhledávání: '"B A, Cutillo"'
Autor:
Michael E. Smith, Harrison Leong, Steven L. Bressler, Paul Brickett, Nicholas Barbero, Kenneth D. Laxer, Don Durousseau, B. A. Cutillo, Nancy Martin, Alan Gevins, Jian Le, Judith McLaughlin
Publikováno v:
Human Brain Mapping. 1:101-116
Subsecond temporal resolution is necessary to resolve the changes in brain activity that are associated with task-related cognitive processes. Evoked potentials (EPs) provide the requisite millisecondrange temporal resolution, and do so with nonencum
Autor:
B. A. Cutillo, Alan Gevins
Publikováno v:
Electroencephalography and Clinical Neurophysiology. 87:128-143
Working memory (WM), the ability to momentarily maintain information in an active state, is central to higher cognitive functions. The processes involved in WM operate on a sub-second timescale, and thus evoked potential measures have an appropriate
Autor:
Alan Gevins, Kenneth D. Laxer, Nicholas M. Barbaro, M. F. Ward, B. A. Cutillo, Steven L. Bressler, Walter J. Freeman, Vinod Menon, John E. Desmond
Publikováno v:
Electroencephalography and clinical neurophysiology. 98(2)
Animal electrocorticogram (ECoG) studies have shown that spatial patterns in the gamma band (>20 Hz) reflect perceptual categorization. Spatio-temporal correlations were investigated in the 20-50 Hz range in search for similar phenomena in human ECoG
Regional modulation of high resolution evoked potentials during verbal and non-verbal matching tasks
Publikováno v:
Electroencephalography and clinical neurophysiology. 94(2)
Nine subjects performed a cued S1-S2 matching task in which two sequentially presented visual stimuli (either letter strings or non-verbal graphical patterns) were compared according to verbal (phonemic, semantic, syntactic) or non-verbal (graphic id
Autor:
Alan Gevins, Steven L. Bressler, Nicholas Barbero, John E. Desmond, M. F. Ward, B. A. Cutillo, Kenneth D. Laxer
Publikováno v:
Electroencephalography and clinical neurophysiology. 92(4)
Previous studies suggest that evidence for the sub-second activation of distributed neural networks can be obtained by computing the covariance between segments of the scalp-recorded evoked potential. However, the cortical representation of such pote
Autor:
B. A. Cutillo, Alan Gevins
We made progress in several areas during the past year: (1) tested the Neurotrigger hardware/software system and moved it onto a new platform for increased number of channels and a needed increase in computational headroom; (2) performed pilot record
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::193c3403083e4f7ca909f68ff5c17ff2
https://doi.org/10.21236/ada251049
https://doi.org/10.21236/ada251049
Autor:
Alan Gevins, Judy Illes, Henry R. Jex, James C. Miller, Steven L. Bressler, John A. Stern, B. A. Cutillo
Publikováno v:
Electroencephalography and clinical neurophysiology. 76(4)
Topographic patterns of event-related covariance between electrodes were measured from subjects performing a difficult memory and fine-motor control task for 10-14 h. Striking changes occurred in the patterns after subjects performed the task for an
Autor:
John E. Desmond, Alan Gevins, M. F. Ward, Kenneth D. Laxer, Vinod Menon, Walter J. Freeman, Nicholas M. Barbaro, Steven L. Bressler, B. A. Cutillo
Publikováno v:
Electroencephalography and Clinical Neurophysiology. 98:228
Autor:
Alan Gevins, Steven L. Bressler, Douglas S Greer, Judy Illes, B. A. Cutillo, Richard M. White, Nelson Morgan
Publikováno v:
Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section. 74:147-160
Event-related covariance (ERC) patterns were computed from pre-stimulus and feedback intervals of a bimanual, visuomotor judgment task performed by 7 right-handed men. Late contingent negative variation (CNV) ERC patterns that preceded subsequently a
Autor:
Robert S. Tannehill, Alan Gevins, B. A. Cutillo, Charles L. Yeager, Robert E. Schaffer, Jess Ghannam, J C Doyle, Virginia A. Gilcrease
Publikováno v:
Science. 213:918-922
A new technique has been developed for identifying, in humans, dynamic spatiotemporal electrical patterns of the brain during purposive behaviors. In this method, single-trial time-series correlations between brain macropotentials recorded from diffe