Literature DB >> 22173296

MEG evoked responses and rhythmic activity provide spatiotemporally complementary measures of neural activity in language production.

Hannu Laaksonen1, Jan Kujala, Annika Hultén, Mia Liljeström, Riitta Salmelin.   

Abstract

Phase-locked evoked responses and event-related modulations of spontaneous rhythmic activity are the two main approaches used to quantify stimulus- or task-related changes in electrophysiological measures. The relationship between the two has been widely theorized upon but empirical research has been limited to the primary visual and sensorimotor cortex. However, both evoked responses and rhythms have been used as markers of neural activity in paradigms ranging from simple sensory to complex cognitive tasks. While some spatial agreement between the two phenomena has been observed, typically only one of the measures has been used in any given study, thus disallowing a direct evaluation of their exact spatiotemporal relationship. In this study, we sought to systematically clarify the connection between evoked responses and rhythmic activity. Using both measures, we identified the spatiotemporal patterns of task effects in three magnetoencephalography (MEG) data sets, all variants of a picture naming task. Evoked responses and rhythmic modulation yielded largely separate networks, with spatial overlap mainly in the sensorimotor and primary visual areas. Moreover, in the cortical regions that were identified with both measures the experimental effects they conveyed differed in terms of timing and function. Our results suggest that the two phenomena are largely detached and that both measures are needed for an accurate portrayal of brain activity.
Copyright © 2011 Elsevier Inc. All rights reserved.

Mesh:

Year:  2011        PMID: 22173296     DOI: 10.1016/j.neuroimage.2011.11.087

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  9 in total

1.  Beta oscillations reflect memory and motor aspects of spoken word production.

Authors:  Vitória Piai; Ardi Roelofs; Joost Rommers; Eric Maris
Journal:  Hum Brain Mapp       Date:  2015-04-14       Impact factor: 5.038

2.  Presurgical language localization with visual naming associated ECoG high- gamma modulation in pediatric drug-resistant epilepsy.

Authors:  Ravindra Arya; J Adam Wilson; Hisako Fujiwara; Leonid Rozhkov; James L Leach; Anna W Byars; Hansel M Greiner; Jennifer Vannest; Jason Buroker; Griffin Milsap; Brian Ervin; Ali Minai; Paul S Horn; Katherine D Holland; Francesco T Mangano; Nathan E Crone; Douglas F Rose
Journal:  Epilepsia       Date:  2017-02-22       Impact factor: 5.864

3.  Combining Different Tools for EEG Analysis to Study the Distributed Character of Language Processing.

Authors:  Armando Freitas da Rocha; Flávia Benevides Foz; Alfredo Pereira
Journal:  Comput Intell Neurosci       Date:  2015-12-02

4.  Oscillatory dynamics underlying noun and verb production in highly proficient bilinguals.

Authors:  Shuang Geng; Nicola Molinaro; Polina Timofeeva; Ileana Quiñones; Manuel Carreiras; Lucia Amoruso
Journal:  Sci Rep       Date:  2022-01-14       Impact factor: 4.996

5.  The Time Course of Language Production as Revealed by Pattern Classification of MEG Sensor Data.

Authors:  Francesca Carota; Jan-Mathijs Schoffelen; Robert Oostenveld; Peter Indefrey
Journal:  J Neurosci       Date:  2022-06-09       Impact factor: 6.709

6.  Characterizing multi-word speech production using event-related potentials.

Authors:  Stephanie K Ries; Svetlana Pinet; N Bonnie Nozari; Robert T Knight
Journal:  Psychophysiology       Date:  2021-02-10       Impact factor: 4.016

7.  Distinct patterns of brain activity characterise lexical activation and competition in spoken word production.

Authors:  Vitória Piai; Ardi Roelofs; Ole Jensen; Jan-Mathijs Schoffelen; Mathilde Bonnefond
Journal:  PLoS One       Date:  2014-02-18       Impact factor: 3.240

8.  Analysis of Functional Connectivity and Oscillatory Power Using DICS: From Raw MEG Data to Group-Level Statistics in Python.

Authors:  Marijn van Vliet; Mia Liljeström; Susanna Aro; Riitta Salmelin; Jan Kujala
Journal:  Front Neurosci       Date:  2018-09-11       Impact factor: 4.677

9.  Oscillatory and structural signatures of language plasticity in brain tumor patients: A longitudinal study.

Authors:  Lucia Amoruso; Shuang Geng; Nicola Molinaro; Polina Timofeeva; Sandra Gisbert-Muñoz; Santiago Gil-Robles; Iñigo Pomposo; Ileana Quiñones; Manuel Carreiras
Journal:  Hum Brain Mapp       Date:  2020-12-24       Impact factor: 5.038

  9 in total

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