Literature DB >> 26787906

Stimulus-induced visual cortical networks are recapitulated by spontaneous local and interareal synchronization.

Christopher M Lewis1, Conrado A Bosman2, Thilo Womelsdorf3, Pascal Fries4.   

Abstract

Intrinsic covariation of brain activity has been studied across many levels of brain organization. Between visual areas, neuronal activity covaries primarily among portions with similar retinotopic selectivity. We hypothesized that spontaneous interareal coactivation is subserved by neuronal synchronization. We performed simultaneous high-density electrocorticographic recordings across the dorsal aspect of several visual areas in one hemisphere in each of two awake monkeys to investigate spatial patterns of local and interareal synchronization. We show that stimulation-induced patterns of interareal coactivation were reactivated in the absence of stimulation for the visual quadrant covered. Reactivation occurred through both interareal cofluctuation of local activity and interareal phase synchronization. Furthermore, the trial-by-trial covariance of the induced responses recapitulated the pattern of interareal coupling observed during stimulation, i.e., the signal correlation. Reactivation-related synchronization showed distinct peaks in the theta, alpha, and gamma frequency bands. During passive states, this rhythmic reactivation was augmented by specific patterns of arrhythmic correspondence. These results suggest that networks of intrinsic covariation observed at multiple levels and with several recording techniques are related to synchronization and that behavioral state may affect the structure of intrinsic dynamics.

Entities:  

Keywords:  connectivity; intrinsic activity; networks; oscillations; vision

Mesh:

Year:  2016        PMID: 26787906      PMCID: PMC4747694          DOI: 10.1073/pnas.1513773113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  74 in total

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3.  Modulation of oscillatory neuronal synchronization by selective visual attention.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-06       Impact factor: 11.205

6.  Electrophysiological signatures of resting state networks in the human brain.

Authors:  D Mantini; M G Perrucci; C Del Gratta; G L Romani; M Corbetta
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-01       Impact factor: 11.205

7.  Estimating Granger causality from fourier and wavelet transforms of time series data.

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9.  Spontaneous high-gamma band activity reflects functional organization of auditory cortex in the awake macaque.

Authors:  Makoto Fukushima; Richard C Saunders; David A Leopold; Mortimer Mishkin; Bruno B Averbeck
Journal:  Neuron       Date:  2012-06-07       Impact factor: 17.173

10.  Contrasting activity profile of two distributed cortical networks as a function of attentional demands.

Authors:  Daniela Popa; Andrei T Popescu; Denis Paré
Journal:  J Neurosci       Date:  2009-01-28       Impact factor: 6.167

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  19 in total

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2.  Gamma Synchronization between V1 and V4 Improves Behavioral Performance.

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Review 6.  The diversity and specificity of functional connectivity across spatial and temporal scales.

Authors:  Tatiana A Engel; Marieke L Schölvinck; Christopher M Lewis
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7.  Noise-Assisted Multivariate EMD-Based Mean-Phase Coherence Analysis to Evaluate Phase-Synchrony Dynamics in Epilepsy Patients.

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Review 8.  Spontaneous Neural Dynamics and Multi-scale Network Organization.

Authors:  Brett L Foster; Biyu J He; Christopher J Honey; Karim Jerbi; Alexander Maier; Yuri B Saalmann
Journal:  Front Syst Neurosci       Date:  2016-02-09

9.  Frequency-specific electrophysiologic correlates of resting state fMRI networks.

Authors:  Carl D Hacker; Abraham Z Snyder; Mrinal Pahwa; Maurizio Corbetta; Eric C Leuthardt
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10.  More Gamma More Predictions: Gamma-Synchronization as a Key Mechanism for Efficient Integration of Classical Receptive Field Inputs with Surround Predictions.

Authors:  Martin Vinck; Conrado A Bosman
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