Literature DB >> 23352171

Inducing γ oscillations and precise spike synchrony by operant conditioning via brain-machine interface.

Ben Engelhard1, Nofar Ozeri, Zvi Israel, Hagai Bergman, Eilon Vaadia.   

Abstract

Neural oscillations in the low-gamma range (30-50 Hz) have been implicated in neuronal synchrony, computation, behavior, and cognition. Abnormal low-gamma activity, hypothesized to reflect impaired synchronization, has been evidenced in several brain disorders. Thus, understanding the relations between gamma oscillations, neuronal synchrony and behavior is a major research challenge. We used a brain-machine interface (BMI) to train monkeys to specifically increase low-gamma power in selected sites of motor cortex to move a cursor and obtain a reward. The monkeys learned to robustly generate oscillatory gamma waves, which were accompanied by a dramatic increase of spiking synchrony of highly precise spatiotemporal patterns. The findings link volitional control of LFP oscillations, neuronal synchrony, and the behavioral outcome. Subjects' ability to directly modulate specific patterns of neuronal synchrony provides a powerful approach for understanding neuronal processing in relation to behavior and for the use of BMIs in a clinical setting.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23352171     DOI: 10.1016/j.neuron.2012.11.015

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  49 in total

1.  Desynchronization of fast-spiking interneurons reduces β-band oscillations and imbalance in firing in the dopamine-depleted striatum.

Authors:  Sriraman Damodaran; John R Cressman; Zbigniew Jedrzejewski-Szmek; Kim T Blackwell
Journal:  J Neurosci       Date:  2015-01-21       Impact factor: 6.167

2.  Learned control of inter-hemispheric connectivity: Effects on bimanual motor performance.

Authors:  Diljit Singh Kajal; Christoph Braun; Jürgen Mellinger; Matthew D Sacchet; Sergio Ruiz; Eberhard Fetz; Niels Birbaumer; Ranganatha Sitaram
Journal:  Hum Brain Mapp       Date:  2017-06-05       Impact factor: 5.038

Review 3.  Physiological properties of brain-machine interface input signals.

Authors:  Marc W Slutzky; Robert D Flint
Journal:  J Neurophysiol       Date:  2017-06-14       Impact factor: 2.714

4.  A new regime for highly robust gamma oscillation with co-exist of accurate and weak synchronization in excitatory-inhibitory networks.

Authors:  Zhijie Wang; Hong Fan; Fang Han
Journal:  Cogn Neurodyn       Date:  2014-05-08       Impact factor: 5.082

5.  Shedding light on learning.

Authors:  Byron M Yu; Steven M Chase
Journal:  Nat Neurosci       Date:  2014-06       Impact factor: 24.884

6.  Cortical oscillations arise from contextual interactions that regulate sparse coding.

Authors:  Monika P Jadi; Terrence J Sejnowski
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-17       Impact factor: 11.205

7.  Modulation dynamics in the orofacial sensorimotor cortex during motor skill acquisition.

Authors:  Fritzie I Arce-McShane; Nicholas G Hatsopoulos; Jye-Chang Lee; Callum F Ross; Barry J Sessle
Journal:  J Neurosci       Date:  2014-04-23       Impact factor: 6.167

Review 8.  Analysis of Neuronal Spike Trains, Deconstructed.

Authors:  Johnatan Aljadeff; Benjamin J Lansdell; Adrienne L Fairhall; David Kleinfeld
Journal:  Neuron       Date:  2016-07-20       Impact factor: 17.173

Review 9.  Dysfunction of sensory oscillations in Autism Spectrum Disorder.

Authors:  David M Simon; Mark T Wallace
Journal:  Neurosci Biobehav Rev       Date:  2016-07-19       Impact factor: 8.989

10.  Volitional control of cortical oscillations and synchrony.

Authors:  Eberhard E Fetz
Journal:  Neuron       Date:  2013-01-23       Impact factor: 17.173

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