Literature DB >> 29426017

Abnormal rsFC and GMV changes in parahippocampal and DLPFC for high Déjà vu experienced subjects.

Jiang Qiu1, Yunman Xia2, Li He3, Qunlin Chen2, Na Sang2, Wei Liu4, Hong Li5.   

Abstract

How déjà vu works has long been a mystery, partially because of its characteristics of unpredictable occurrences and quick disappearances, which make it difficult to be explored. Previous studies have described the anatomical structures underlying déjà vu in healthy subjects; however, the functional mechanism of déjà vu remains unclear. Therefore, this study investigated the brain structural and functional components underlying déjà vu by combining voxel-based morphometry analysis (VBM) with resting-state functional connectivity (rsFC). The VBM analysis revealed that the anterior parahippocampal gyrus (PHG) had significantly less grey matter volume (GMV) in high déjà vu group than low group, confirming previous studies. Further functional connectivity analysis revealed that the frequency of déjà vu experiences was negatively correlated with the strength of the rsFC between anterior dorsal lateral prefrontal cortex (DLPFC) and anterior PHG but positively correlated with the strength of the rsFC between posterior DLPFC and posterior PHG. Moreover, the frequency of déjà vu experiences was negatively correlated with the strength of the rsFC between the anterior and posterior regions of the PHG. These findings indicated that familiarity without recollection (PHG) and superior context monitoring (DLPFC) are critical for real-life déjà vu experiences.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DLPFC; Déjà vu; Familiarity; Parahippocampal gyrus; Recollection

Mesh:

Year:  2018        PMID: 29426017     DOI: 10.1016/j.biopsycho.2018.02.001

Source DB:  PubMed          Journal:  Biol Psychol        ISSN: 0301-0511            Impact factor:   3.251


  1 in total

Review 1.  Stress and the brain: Perceived stress mediates the impact of the superior frontal gyrus spontaneous activity on depressive symptoms in late adolescence.

Authors:  Song Wang; Yajun Zhao; Lei Zhang; Xu Wang; Xiuli Wang; Bochao Cheng; Kui Luo; Qiyong Gong
Journal:  Hum Brain Mapp       Date:  2019-08-09       Impact factor: 5.038

  1 in total

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