Literature DB >> 20818384

The effects of electrical microstimulation on cortical signal propagation.

Nikos K Logothetis1, Mark Augath, Yusuke Murayama, Alexander Rauch, Fahad Sultan, Jozien Goense, Axel Oeltermann, Hellmut Merkle.   

Abstract

Electrical stimulation has been used in animals and humans to study potential causal links between neural activity and specific cognitive functions. Recently, it has found increasing use in electrotherapy and neural prostheses. However, the manner in which electrical stimulation-elicited signals propagate in brain tissues remains unclear. We used combined electrostimulation, neurophysiology, microinjection and functional magnetic resonance imaging (fMRI) to study the cortical activity patterns elicited during stimulation of cortical afferents in monkeys. We found that stimulation of a site in the lateral geniculate nucleus (LGN) increased the fMRI signal in the regions of primary visual cortex (V1) that received input from that site, but suppressed it in the retinotopically matched regions of extrastriate cortex. Consistent with previous observations, intracranial recordings indicated that a short excitatory response occurring immediately after a stimulation pulse was followed by a long-lasting inhibition. Following microinjections of GABA antagonists in V1, LGN stimulation induced positive fMRI signals in all of the cortical areas. Taken together, our findings suggest that electrical stimulation disrupts cortico-cortical signal propagation by silencing the output of any neocortical area whose afferents are electrically stimulated.

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Year:  2010        PMID: 20818384     DOI: 10.1038/nn.2631

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  50 in total

1.  The spatial receptive field of thalamic inputs to single cortical simple cells revealed by the interaction of visual and electrical stimulation.

Authors:  Prakash Kara; John S Pezaris; Sergey Yurgenson; R Clay Reid
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-02       Impact factor: 11.205

2.  Bypassing V1: a direct geniculate input to area MT.

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3.  Mapping cortical activity elicited with electrical microstimulation using FMRI in the macaque.

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Journal:  Neuron       Date:  2005-12-22       Impact factor: 17.173

4.  Demonstration of artificial visual percepts generated through thalamic microstimulation.

Authors:  John S Pezaris; R Clay Reid
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-23       Impact factor: 11.205

Review 5.  Transcranial magnetic stimulation: a primer.

Authors:  Mark Hallett
Journal:  Neuron       Date:  2007-07-19       Impact factor: 17.173

6.  Behavioral detection of electrical microstimulation in different cortical visual areas.

Authors:  Dona K Murphey; John H R Maunsell
Journal:  Curr Biol       Date:  2007-04-26       Impact factor: 10.834

7.  BOLD sensitivity to cortical activation induced by microstimulation: comparison to visual stimulation.

Authors:  Fahad Sultan; Mark Augath; Nikos Logothetis
Journal:  Magn Reson Imaging       Date:  2007-05-04       Impact factor: 2.546

Review 8.  Distributed hierarchical processing in the primate cerebral cortex.

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9.  Topography of visual cortex connections with frontal eye field in macaque: convergence and segregation of processing streams.

Authors:  J D Schall; A Morel; D J King; J Bullier
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10.  Strength and orientation tuning of the thalamic input to simple cells revealed by electrically evoked cortical suppression.

Authors:  S Chung; D Ferster
Journal:  Neuron       Date:  1998-06       Impact factor: 17.173

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  129 in total

1.  The amplitude and timing of the BOLD signal reflects the relationship between local field potential power at different frequencies.

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2.  Unravelling cerebellar pathways with high temporal precision targeting motor and extensive sensory and parietal networks.

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Journal:  Nat Commun       Date:  2012-06-26       Impact factor: 14.919

Review 3.  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

4.  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

5.  Saccade modulation by optical and electrical stimulation in the macaque frontal eye field.

Authors:  Shay Ohayon; Piercesare Grimaldi; Nicole Schweers; Doris Y Tsao
Journal:  J Neurosci       Date:  2013-10-16       Impact factor: 6.167

6.  Optical imaging of cortical networks via intracortical microstimulation.

Authors:  Andrea A Brock; Robert M Friedman; Reuben H Fan; Anna W Roe
Journal:  J Neurophysiol       Date:  2013-09-11       Impact factor: 2.714

7.  Awakening: Predicting external stimulation to force transitions between different brain states.

Authors:  Gustavo Deco; Josephine Cruzat; Joana Cabral; Enzo Tagliazucchi; Helmut Laufs; Nikos K Logothetis; Morten L Kringelbach
Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-19       Impact factor: 11.205

8.  Frequency-selective control of cortical and subcortical networks by central thalamus.

Authors:  Jia Liu; Hyun Joo Lee; Andrew J Weitz; Zhongnan Fang; Peter Lin; ManKin Choy; Robert Fisher; Vadim Pinskiy; Alexander Tolpygo; Partha Mitra; Nicholas Schiff; Jin Hyung Lee
Journal:  Elife       Date:  2015-12-10       Impact factor: 8.140

9.  Dynamic tractography: Integrating cortico-cortical evoked potentials and diffusion imaging.

Authors:  Brian H Silverstein; Eishi Asano; Ayaka Sugiura; Masaki Sonoda; Min-Hee Lee; Jeong-Won Jeong
Journal:  Neuroimage       Date:  2020-04-12       Impact factor: 6.556

10.  Cortico-cortical evoked potentials and stimulation-elicited gamma activity preferentially propagate from lower- to higher-order visual areas.

Authors:  Naoyuki Matsuzaki; Csaba Juhász; Eishi Asano
Journal:  Clin Neurophysiol       Date:  2013-03-20       Impact factor: 3.708

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