Literature DB >> 22323626

Task-dependent changes in cortical excitability and effective connectivity: a combined TMS-EEG study.

Jeffrey S Johnson1, Bornali Kundu, Adenauer G Casali, Bradley R Postle.   

Abstract

The brain's electrical response to transcranial magnetic stimulation (TMS) is known to be influenced by exogenous factors such as the frequency and intensity of stimulation and the orientation and positioning of the stimulating coil. Less understood, however, is the influence of endogenous neural factors, such as global brain state, on the TMS-evoked response (TMS-ER). In the present study, we explored how changes in behavioral state affect the TMS-ER by perturbing the superior parietal lobule (SPL) with single pulses of TMS and measuring consequent differences in the frequency, strength, and spatial spread of TMS-evoked currents during the delay period of a spatial short-term memory task and during a period of passive fixation. Results revealed that task performance increased the overall strength of electrical currents induced by TMS, increased the spatial spread of TMS-evoked activity to distal brain regions, and increased the ability of TMS to reset the phase of ongoing broadband cortical oscillations. By contrast, task performance had little effect on the dominant frequency of the TMS-ER, both locally and at distal brain areas. These findings contribute to a growing body of work using combined TMS and neuroimaging methods to explore task-dependent changes in the functional organization of cortical networks implicated in task performance.

Mesh:

Year:  2012        PMID: 22323626      PMCID: PMC3362246          DOI: 10.1152/jn.00707.2011

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  30 in total

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5.  MEG source localization under multiple constraints: an extended Bayesian framework.

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6.  Transcranial magnetic stimulation and cortical evoked potentials: a TMS/EEG co-registration study.

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7.  A fast method for forward computation of multiple-shell spherical head models.

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8.  Brain responses evoked by high-frequency repetitive transcranial magnetic stimulation: an event-related potential study.

Authors:  Massihullah Hamidi; Heleen A Slagter; Giulio Tononi; Bradley R Postle
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9.  EEG responses to TMS are sensitive to changes in the perturbation parameters and repeatable over time.

Authors:  Silvia Casarotto; Leonor J Romero Lauro; Valentina Bellina; Adenauer G Casali; Mario Rosanova; Andrea Pigorini; Stefano Defendi; Maurizio Mariotti; Marcello Massimini
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  23 in total

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2.  Time-varying coupling of EEG oscillations predicts excitability fluctuations in the primary motor cortex as reflected by motor evoked potentials amplitude: an EEG-TMS study.

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3.  Prestimulation phase predicts the TMS-evoked response.

Authors:  Bornali Kundu; Jeffrey S Johnson; Bradley R Postle
Journal:  J Neurophysiol       Date:  2014-07-09       Impact factor: 2.714

Review 4.  Deep brain stimulation for the treatment of disorders of consciousness and cognition in traumatic brain injury patients: a review.

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Journal:  Neurosurg Focus       Date:  2018-08       Impact factor: 4.047

Review 5.  Thalamic control of functional cortical connectivity.

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Journal:  Curr Opin Neurobiol       Date:  2017-05-06       Impact factor: 6.627

6.  Reactivation of latent working memories with transcranial magnetic stimulation.

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Journal:  Science       Date:  2016-12-02       Impact factor: 47.728

7.  Comparing the Effects of 10-Hz Repetitive TMS on Tasks of Visual STM and Attention.

Authors:  Stephen M Emrich; Jeffrey S Johnson; David W Sutterer; Bradley R Postle
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8.  N100 as a generic cortical electrophysiological marker based on decomposition of TMS-evoked potentials across five anatomic locations.

Authors:  Xiaoming Du; Fow-Sen Choa; Ann Summerfelt; Laura M Rowland; Joshua Chiappelli; Peter Kochunov; L Elliot Hong
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9.  Strengthened effective connectivity underlies transfer of working memory training to tests of short-term memory and attention.

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10.  Trait-like differences in underlying oscillatory state predict individual differences in the TMS-evoked response.

Authors:  Bornali Kundu; Jeffrey S Johnson; Bradley R Postle
Journal:  Brain Stimul       Date:  2013-11-16       Impact factor: 8.955

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