Literature DB >> 22360591

Time courses of attentional modulation in neural amplification and synchronization measured with steady-state visual-evoked potentials.

Yoshiyuki Kashiwase1, Kazumichi Matsumiya, Ichiro Kuriki, Satoshi Shioiri.   

Abstract

Endogenous attention modulates the amplitude and phase coherence of steady-state visual-evoked potentials (SSVEPs). In efforts to decipher the neural mechanisms of attentional modulation, we compared the time course of attentional modulation of SSVEP amplitude (thought to reflect the magnitude of neural population activity) and phase coherence (thought to reflect neural response synchronization). We presented two stimuli flickering at different frequencies in the left and right visual hemifields and asked observers to shift their attention to either stimulus. Our results demonstrated that attention increased SSVEP phase coherence earlier than it increased SSVEP amplitude, with a positive correlation between the attentional modulations of SSVEP phase coherence and amplitude. Furthermore, the behavioral dynamics of attention shifts were more closely associated with changes in phase coherence than with changes in amplitude. These results are consistent with the possibility that attention increases neural response synchronization, which in turn leads to increased neural population activity.

Mesh:

Year:  2012        PMID: 22360591     DOI: 10.1162/jocn_a_00212

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  17 in total

Review 1.  The steady-state visual evoked potential in vision research: A review.

Authors:  Anthony M Norcia; L Gregory Appelbaum; Justin M Ales; Benoit R Cottereau; Bruno Rossion
Journal:  J Vis       Date:  2015       Impact factor: 2.240

2.  Exploring the temporal dynamics of sustained and transient spatial attention using steady-state visual evoked potentials.

Authors:  Dan Zhang; Bo Hong; Shangkai Gao; Brigitte Röder
Journal:  Exp Brain Res       Date:  2017-03-03       Impact factor: 1.972

3.  Driving steady-state visual evoked potentials at arbitrary frequencies using temporal interpolation of stimulus presentation.

Authors:  Søren K Andersen; Matthias M Müller
Journal:  BMC Neurosci       Date:  2015-12-21       Impact factor: 3.288

4.  Visual cortex responses reflect temporal structure of continuous quasi-rhythmic sensory stimulation.

Authors:  Christian Keitel; Gregor Thut; Joachim Gross
Journal:  Neuroimage       Date:  2016-11-17       Impact factor: 6.556

5.  Visual steady state in relation to age and cognitive function.

Authors:  Anna Horwitz; Mia Dyhr Thomsen; Iris Wiegand; Henrik Horwitz; Marc Klemp; Miki Nikolic; Lene Rask; Martin Lauritzen; Krisztina Benedek
Journal:  PLoS One       Date:  2017-02-28       Impact factor: 3.240

6.  Neural Entrainment Meets Behavior: The Stability Index as a Neural Outcome Measure of Auditory-Motor Coupling.

Authors:  Mattia Rosso; Marc Leman; Lousin Moumdjian
Journal:  Front Hum Neurosci       Date:  2021-06-09       Impact factor: 3.169

7.  Temporal dynamics of visual attention measured with event-related potentials.

Authors:  Yoshiyuki Kashiwase; Kazumichi Matsumiya; Ichiro Kuriki; Satoshi Shioiri
Journal:  PLoS One       Date:  2013-08-19       Impact factor: 3.240

8.  Flicker-Driven Responses in Visual Cortex Change during Matched-Frequency Transcranial Alternating Current Stimulation.

Authors:  Philipp Ruhnau; Christian Keitel; Chrysa Lithari; Nathan Weisz; Toralf Neuling
Journal:  Front Hum Neurosci       Date:  2016-04-26       Impact factor: 3.169

9.  Visual attention spreads broadly but selects information locally.

Authors:  Satoshi Shioiri; Hajime Honjyo; Yoshiyuki Kashiwase; Kazumichi Matsumiya; Ichiro Kuriki
Journal:  Sci Rep       Date:  2016-10-19       Impact factor: 4.379

10.  Rapid adaptive adjustments of selective attention following errors revealed by the time course of steady-state visual evoked potentials.

Authors:  Marco Steinhauser; Søren K Andersen
Journal:  Neuroimage       Date:  2018-10-23       Impact factor: 6.556

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