Journal article
Electrophysiological dynamics of antagonistic brain networks reflect attentional fluctuations
Nature communications, v 11(1), pp 325-325
16 Jan 2020
PMID: 31949140
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Neuroimaging evidence suggests that the default mode network (DMN) exhibits antagonistic activity with dorsal attention (DAN) and salience (SN) networks. Here we use human intracranial electroencephalography to investigate the behavioral relevance of fine-grained dynamics within and between these networks. The three networks show dissociable profiles of task-evoked electrophysiological activity, best captured in the high-frequency broadband (HFB; 70-170 Hz) range. On the order of hundreds of milliseconds, HFB responses peak fastest in the DAN, at intermediate speed in the SN, and slowest in the DMN. Lapses of attention (behavioral errors) are marked by distinguishable patterns of both pre- and post-stimulus HFB activity within each network. Moreover, the magnitude of temporally lagged, negative HFB coupling between the DAN and DMN (but not SN and DMN) is associated with greater sustained attention performance and is reduced during wakeful rest. These findings underscore the behavioral relevance of temporally delayed coordination between antagonistic brain networks.
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Details
- Title
- Electrophysiological dynamics of antagonistic brain networks reflect attentional fluctuations
- Creators
- Aaron Kucyi - Stanford UniversityAmy Daitch - Stanford UniversityOmri Raccah - Stanford UniversityBaotian Zhao - Beijing Tian Tan HospitalChao Zhang - Beijing Tian Tan HospitalMichael Esterman - Boston UniversityMichael Zeineh - Stanford UniversityCasey H Halpern - Stanford UniversityKai Zhang - Beijing Tian Tan HospitalJianguo Zhang - Beijing Tian Tan HospitalJosef Parvizi - Stanford University
- Publication Details
- Nature communications, v 11(1), pp 325-325
- Publisher
- Springer Nature
- Grant note
- F32 HD087028 / NICHD NIH HHS I01 CX001653 / CSRD VA R01 NS078396 / NINDS NIH HHS R01 MH109954 / NIMH NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:000511912200015
- Scopus ID
- 2-s2.0-85077941200
- Other Identifier
- 991021448185204721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Neurosciences