Literature DB >> 15082321

What electrical microstimulation has revealed about the neural basis of cognition.

Marlene R Cohen1, William T Newsome.   

Abstract

Neurophysiologists have shown repeatedly that neural activity in different brain structures can be correlated with specific perceptual and cognitive functions, but the causal efficacy of the observed activity has generally been a matter of conjecture. By contrast, electrical microstimulation, which allows the experimenter to manipulate the activity of small groups of neurons with spatial and temporal precision, can now be used to demonstrate causal links between neural activity and specific cognitive functions. Here, we review this growing literature, including applications to the study of attention, visual and somatosensory perception, 'read-out' mechanisms for interpreting sensory maps, and contextual effects on perception. We also discuss potential applications of microstimulation to studies of higher cognitive functions such as decision-making and subjective experience.

Mesh:

Year:  2004        PMID: 15082321     DOI: 10.1016/j.conb.2004.03.016

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  58 in total

1.  The relative impact of microstimulation parameters on movement generation.

Authors:  Husam A Katnani; Neeraj J Gandhi
Journal:  J Neurophysiol       Date:  2012-04-25       Impact factor: 2.714

Review 2.  Variability of perceptual multistability: from brain state to individual trait.

Authors:  Andreas Kleinschmidt; Philipp Sterzer; Geraint Rees
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-04-05       Impact factor: 6.237

3.  Motor output evoked by subsaccadic stimulation of primate frontal eye fields.

Authors:  Brian D Corneil; James K Elsley; Benjamin Nagy; Sharon L Cushing
Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-15       Impact factor: 11.205

Review 4.  Insights into cortical mechanisms of behavior from microstimulation experiments.

Authors:  Mark H Histed; Amy M Ni; John H R Maunsell
Journal:  Prog Neurobiol       Date:  2012-01-28       Impact factor: 11.685

Review 5.  Manipulating neural activity in physiologically classified neurons: triumphs and challenges.

Authors:  Felicity Gore; Edmund C Schwartz; C Daniel Salzman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-09-19       Impact factor: 6.237

6.  Characterizing and predicting cortical evoked responses to direct electrical stimulation of the human brain.

Authors:  Cynthia R Steinhardt; Pierre Sacré; Timothy C Sheehan; John H Wittig; Sara K Inati; Sridevi Sarma; Kareem A Zaghloul
Journal:  Brain Stimul       Date:  2020-06-08       Impact factor: 8.955

7.  Lentivirus-based genetic manipulations of cortical neurons and their optical and electrophysiological monitoring in vivo.

Authors:  Tanjew Dittgen; Axel Nimmerjahn; Shoji Komai; Pawel Licznerski; Jack Waters; Troy W Margrie; Fritjof Helmchen; Winfried Denk; Michael Brecht; Pavel Osten
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-17       Impact factor: 11.205

Review 8.  Inferring causality in brain images: a perturbation approach.

Authors:  Tomás Paus
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-05-29       Impact factor: 6.237

9.  Brain-machine interfaces and transcranial stimulation: future implications for directing functional movement and improving function after spinal injury in humans.

Authors:  Jose M Carmena; Leonardo G Cohen
Journal:  Handb Clin Neurol       Date:  2012

10.  Linking neural activity to complex decisions.

Authors:  Benjamin Hayden; Tatiana Pasternak
Journal:  Vis Neurosci       Date:  2013-09-16       Impact factor: 3.241

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