Literature DB >> 8003918

Source localization of brain electric field frequency bands during conscious, spontaneous, visual imagery and abstract thought.

D Lehmann1, B Henggeler, M Koukkou, C M Michel.   

Abstract

This paper addresses the issue of mind-brain correspondence, using a novel way to reduce brain electric field data in the frequency domain to estimates of intracerebral model source locations, and applying this method to brain electric data collected during the 2-s epochs immediately before the randomly solicited reports of spontaneous, conscious, covert experiences from 12 normal volunteers. The mentation reports were classified into visual imagery and abstract thought. The mean locations of the EEG model sources associated with abstract thoughts were generally more anterior and deeper than those of visual imagery, particularly significant for the delta/theta band; the finding was common across subjects. Thus, different brain functional states involving different geometries of activated neural populations exist during conscious, spontaneous, task-free mentations of the visual imagery type and of the abstract thought type.

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Year:  1993        PMID: 8003918     DOI: 10.1016/0926-6410(93)90003-n

Source DB:  PubMed          Journal:  Brain Res Cogn Brain Res        ISSN: 0926-6410


  4 in total

1.  EEG microstate sequences in healthy humans at rest reveal scale-free dynamics.

Authors:  Dimitri Van de Ville; Juliane Britz; Christoph M Michel
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-04       Impact factor: 11.205

2.  Frequency domain source localization shows state-dependent diazepam effects in 47-channel EEG.

Authors:  C M Michel; R D Pascual-Marqui; W K Strik; T Koenig; D Lehmann
Journal:  J Neural Transm Gen Sect       Date:  1995

3.  Larger topographical variance and decreased duration of brain electric microstates in depression.

Authors:  W K Strik; T Dierks; T Becker; D Lehmann
Journal:  J Neural Transm Gen Sect       Date:  1995

4.  Medial Prefrontal-Medial Temporal Theta Phase Coupling in Dynamic Spatial Imagery.

Authors:  Raphael Kaplan; Daniel Bush; James A Bisby; Aidan J Horner; Sofie S Meyer; Neil Burgess
Journal:  J Cogn Neurosci       Date:  2016-10-25       Impact factor: 3.225

  4 in total

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