Literature DB >> 29305876

Resting frontal EEG asymmetry patterns in adolescents with and without major depression.

Barbara D Grünewald1, Ellen Greimel2, Monika Trinkl2, Jürgen Bartling2, Nicola Großheinrich3, Gerd Schulte-Körne2.   

Abstract

More right-sided frontal brain resting activity has been postulated to be a correlate of major depression in adults. In children and adolescents, more right-sided activity (as indicated by more left-sided alpha activity) seems to be associated with psychosocial risk factors. However, an association of frontal asymmetry and manifest unipolar depression has not been shown in adolescents so far. We analyzed frontal asymmetry in 20 adolescents (12-17 years) with unipolar depression (12 with first episode, 8 with recurrent depression) and 31 healthy age-matched controls. We found significantly less left-sided alpha power over frontal Regions of Interest in patients, while controls exhibited no asymmetry. In the control group, more left-sided frontal alpha correlated with higher depression scores, which was not observed in the patient group. Our results suggest developmental effects on frontal asymmetry, and prompt further investigations in adolescents to clarify the role of frontal asymmetry in adolescent major depression.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adolescents; Alpha power; Asymmetry; EEG; Major depression

Mesh:

Year:  2018        PMID: 29305876     DOI: 10.1016/j.biopsycho.2018.01.003

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


  8 in total

1.  Exposure to Depression Memes on Social Media Increases Depressive Mood and It Is Moderated by Self-Regulation: Evidence From Self-Report and Resting EEG Assessments.

Authors:  Atakan M Akil; Adrienn Ujhelyi; H N Alexander Logemann
Journal:  Front Psychol       Date:  2022-06-29

2.  Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): III. Emotional dysfunction superspectrum.

Authors:  David Watson; Holly F Levin-Aspenson; Monika A Waszczuk; Christopher C Conway; Tim Dalgleish; Michael N Dretsch; Nicholas R Eaton; Miriam K Forbes; Kelsie T Forbush; Kelsey A Hobbs; Giorgia Michelini; Brady D Nelson; Martin Sellbom; Tim Slade; Susan C South; Matthew Sunderland; Irwin Waldman; Michael Witthöft; Aidan G C Wright; Roman Kotov; Robert F Krueger
Journal:  World Psychiatry       Date:  2022-02       Impact factor: 79.683

3.  Abnormalities in Electroencephalographic Microstates Among Adolescents With First Episode Major Depressive Disorder.

Authors:  Yuqiong He; Qianting Yu; Tingyu Yang; Yaru Zhang; Kun Zhang; Xingyue Jin; Shuxian Wu; Xueping Gao; Chunxiang Huang; Xilong Cui; Xuerong Luo
Journal:  Front Psychiatry       Date:  2021-12-17       Impact factor: 4.157

Review 4.  Machine learning approaches for diagnosing depression using EEG: A review.

Authors:  Yuan Liu; Changqin Pu; Shan Xia; Dingyu Deng; Xing Wang; Mengqian Li
Journal:  Transl Neurosci       Date:  2022-08-12       Impact factor: 1.264

5.  Handgrip strength and the risk of major depressive disorder: a two-sample Mendelian randomisation study.

Authors:  Nanxi Li; Rui Zhou; Bin Zhang
Journal:  Gen Psychiatr       Date:  2022-09-27

Review 6.  Theta-Range Oscillations in Stress-Induced Mental Disorders as an Oscillotherapeutic Target.

Authors:  Toya Okonogi; Takuya Sasaki
Journal:  Front Behav Neurosci       Date:  2021-06-09       Impact factor: 3.558

7.  Stability of frontal alpha asymmetry in depressed patients during antidepressant treatment.

Authors:  Nikita van der Vinne; Madelon A Vollebregt; Michel J A M van Putten; Martijn Arns
Journal:  Neuroimage Clin       Date:  2019-10-31       Impact factor: 4.881

8.  Microstates-based resting frontal alpha asymmetry approach for understanding affect and approach/withdrawal behavior.

Authors:  Ardaman Kaur; Vijayakumar Chinnadurai; Rishu Chaujar
Journal:  Sci Rep       Date:  2020-03-06       Impact factor: 4.379

  8 in total

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