Literature DB >> 21967282

Changes in emotional state modulate neuronal firing rates of human speech motor cortex: a case study in long-term recording.

Philip Kennedy1.   

Abstract

In many brain areas, modulations in neuronal firing rates are thought to code information. However, in electrophysiological recording experiments, especially recordings in human patients, the type of information that is coded by a neuron's discharge patterns is often not known, or difficult to determine. From our long experience with chronic recordings in humans, we have come to suspect that such unexplained modulations in firing rates are often due to state changes in the subject. We here present two case studies, with extensive data in one subject to illustrate the point that a change in the subject's emotions, such as sudden fear, surprise, or happiness, may trigger substantial changes in firing rates.

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Year:  2011        PMID: 21967282      PMCID: PMC3187572          DOI: 10.1080/13554794.2010.532137

Source DB:  PubMed          Journal:  Neurocase        ISSN: 1355-4794            Impact factor:   0.881


  14 in total

1.  Chronic, multisite, multielectrode recordings in macaque monkeys.

Authors:  Miguel A L Nicolelis; Dragan Dimitrov; Jose M Carmena; Roy Crist; Gary Lehew; Jerald D Kralik; Steven P Wise
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-05       Impact factor: 11.205

2.  Activity of single action potentials in monkey motor cortex during long-term task learning.

Authors:  P R Kennedy; R A Bakay
Journal:  Brain Res       Date:  1997-06-20       Impact factor: 3.252

3.  The Utah intracortical Electrode Array: a recording structure for potential brain-computer interfaces.

Authors:  E M Maynard; C T Nordhausen; R A Normann
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1997-03

4.  Fast spiking and regular spiking neural correlates of fear conditioning in the medial prefrontal cortex of the rat.

Authors:  E H Baeg; Y B Kim; J Jang; H T Kim; I Mook-Jung; M W Jung
Journal:  Cereb Cortex       Date:  2001-05       Impact factor: 5.357

5.  The cone electrode: a long-term electrode that records from neurites grown onto its recording surface.

Authors:  P R Kennedy
Journal:  J Neurosci Methods       Date:  1989-09       Impact factor: 2.390

6.  Parametric relationships of individual digit movements to neuronal discharges in primate magnocellular red nucleus.

Authors:  P R Kennedy
Journal:  Brain Res       Date:  1987-08-04       Impact factor: 3.252

7.  Neuronal ensemble control of prosthetic devices by a human with tetraplegia.

Authors:  Leigh R Hochberg; Mijail D Serruya; Gerhard M Friehs; Jon A Mukand; Maryam Saleh; Abraham H Caplan; Almut Branner; David Chen; Richard D Penn; John P Donoghue
Journal:  Nature       Date:  2006-07-13       Impact factor: 49.962

8.  Direct control of a computer from the human central nervous system.

Authors:  P R Kennedy; R A Bakay; M M Moore; K Adams; J Goldwaithe
Journal:  IEEE Trans Rehabil Eng       Date:  2000-06

Review 9.  Functional atlas of emotional faces processing: a voxel-based meta-analysis of 105 functional magnetic resonance imaging studies.

Authors:  Paolo Fusar-Poli; Anna Placentino; Francesco Carletti; Paola Landi; Paul Allen; Simon Surguladze; Francesco Benedetti; Marta Abbamonte; Roberto Gasparotti; Francesco Barale; Jorge Perez; Philip McGuire; Pierluigi Politi
Journal:  J Psychiatry Neurosci       Date:  2009-11       Impact factor: 6.186

10.  The cone electrode: ultrastructural studies following long-term recording in rat and monkey cortex.

Authors:  P R Kennedy; S S Mirra; R A Bakay
Journal:  Neurosci Lett       Date:  1992-08-03       Impact factor: 3.046

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  2 in total

1.  Restoring cortical control of functional movement in a human with quadriplegia.

Authors:  Chad E Bouton; Ammar Shaikhouni; Nicholas V Annetta; Marcia A Bockbrader; David A Friedenberg; Dylan M Nielson; Gaurav Sharma; Per B Sederberg; Bradley C Glenn; W Jerry Mysiw; Austin G Morgan; Milind Deogaonkar; Ali R Rezai
Journal:  Nature       Date:  2016-04-13       Impact factor: 49.962

2.  Slow Firing Single Units Are Essential for Optimal Decoding of Silent Speech.

Authors:  Ananya Ganesh; Andre J Cervantes; Philip R Kennedy
Journal:  Front Hum Neurosci       Date:  2022-08-03       Impact factor: 3.473

  2 in total

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