Literature DB >> 31398614

Eye-gaze processing in the broader bipolar phenotype revealed by electrical neuroimaging.

Cristina Berchio1, Anne-Lise Küng2, Samika Kumar3, Paolo Cordera2, Alexandre G Dayer4, Jean-Michel Aubry5, Christoph M Michel6, Camille Piguet7.   

Abstract

Previous studies have documented atypical brain responses to faces in individuals with bipolar disorder (BD) and in their relatives. In view of previous findings of atypical face processing in youths at risk for BD, the aim of this study was to examine whether BD patients and offspring would show differential activation in networks of the social brain when processing eye-gaze. Data from 18 euthymic BD patients and 18 offspring, as well as 36 age-matched healthy controls, were collected using a delayed face-matching paradigm, event related potentials and electrical neuroimaging methods. The P200 component, which is implicated in facial cues decoding, differentiated the BD groups from their age-matched controls. P200 source reconstruction indicates impairments conveyed by eye-contact in a network involved in experiencing others' social intentions in BD patients (supplementary motor cortex, precentral gyrus, inferior parietal lobe), and the engagement of compensatory prefrontal mechanisms for modulating these functions in BD offspring. When viewing faces that had an averted gaze, BD patients and offspring showed a hypo-activation, compared to controls, particularly in regions involved in experiencing others' feelings (post-central gyrus in BD patients / ventral premotor cortex in offspring). Therefore, the neural mechanism for decoding shifts in eye-gaze may be a familial characteristic of BD.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bipolar disorder; ERP; Gaze processing; Offspring; Social brain networks

Mesh:

Year:  2019        PMID: 31398614     DOI: 10.1016/j.pscychresns.2019.07.007

Source DB:  PubMed          Journal:  Psychiatry Res Neuroimaging        ISSN: 0925-4927            Impact factor:   2.376


  2 in total

1.  Exploring brain activity for positive and negative emotions by means of EEG microstates.

Authors:  Giulia Prete; Pierpaolo Croce; Filippo Zappasodi; Luca Tommasi; Paolo Capotosto
Journal:  Sci Rep       Date:  2022-03-01       Impact factor: 4.379

2.  Determination of the Time Window of Event-Related Potential Using Multiple-Set Consensus Clustering.

Authors:  Reza Mahini; Yansong Li; Weiyan Ding; Rao Fu; Tapani Ristaniemi; Asoke K Nandi; Guoliang Chen; Fengyu Cong
Journal:  Front Neurosci       Date:  2020-10-21       Impact factor: 4.677

  2 in total

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