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Network analysis of frontal lobe alpha asymmetry confirms the neurophysiological basis of four subtypes of depressive behavior
INTRODUCTION: Although depression is widespread carries a major disease burden, current treatments remain non-universally effective, arguably due to the heterogeneity of depression, and leading to the consideration of depressive “subtypes” or “depressive behavior subtypes.” One such model of depress...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336204/ https://www.ncbi.nlm.nih.gov/pubmed/37448489 http://dx.doi.org/10.3389/fpsyt.2023.1194318 |
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author | Sharpley, Christopher F. Bitsika, Vicki Arnold, Wayne M. Shadli, Shabah M. Jesulola, Emmanuel Agnew, Linda L. |
author_facet | Sharpley, Christopher F. Bitsika, Vicki Arnold, Wayne M. Shadli, Shabah M. Jesulola, Emmanuel Agnew, Linda L. |
author_sort | Sharpley, Christopher F. |
collection | PubMed |
description | INTRODUCTION: Although depression is widespread carries a major disease burden, current treatments remain non-universally effective, arguably due to the heterogeneity of depression, and leading to the consideration of depressive “subtypes” or “depressive behavior subtypes.” One such model of depressive behavior (DB) subtypes was investigated for its associations with frontal lobe asymmetry (FLA), using a different data analytic procedure than in previous research in this field. METHODS: 100 community volunteers (54 males, 46 females) aged between 18 yr. and 75 years (M = 32.53 yr., SD = 14.13 yr) completed the Zung Self-rating Depression Scale (SDS) and underwent 15 min of eyes closed EEG resting data collection across 10 frontal lobe sites. DB subtypes were defined on the basis of previous research using the SDS, and alpha-wave (8-13 Hz) data produced an index of FLA. Data were examined via network analysis. RESULTS: Several network analyses were conducted, producing two models of the association between DB subtypes and FLA, confirming unique neurophysiological profiles for each of the four DB subtypes. DISCUSSION: As well as providing a firm basis for using these DB subtypes in clinical settings, these findings provide a reasonable explanation for the inconsistency in previous FLA-depression research. |
format | Online Article Text |
id | pubmed-10336204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103362042023-07-13 Network analysis of frontal lobe alpha asymmetry confirms the neurophysiological basis of four subtypes of depressive behavior Sharpley, Christopher F. Bitsika, Vicki Arnold, Wayne M. Shadli, Shabah M. Jesulola, Emmanuel Agnew, Linda L. Front Psychiatry Psychiatry INTRODUCTION: Although depression is widespread carries a major disease burden, current treatments remain non-universally effective, arguably due to the heterogeneity of depression, and leading to the consideration of depressive “subtypes” or “depressive behavior subtypes.” One such model of depressive behavior (DB) subtypes was investigated for its associations with frontal lobe asymmetry (FLA), using a different data analytic procedure than in previous research in this field. METHODS: 100 community volunteers (54 males, 46 females) aged between 18 yr. and 75 years (M = 32.53 yr., SD = 14.13 yr) completed the Zung Self-rating Depression Scale (SDS) and underwent 15 min of eyes closed EEG resting data collection across 10 frontal lobe sites. DB subtypes were defined on the basis of previous research using the SDS, and alpha-wave (8-13 Hz) data produced an index of FLA. Data were examined via network analysis. RESULTS: Several network analyses were conducted, producing two models of the association between DB subtypes and FLA, confirming unique neurophysiological profiles for each of the four DB subtypes. DISCUSSION: As well as providing a firm basis for using these DB subtypes in clinical settings, these findings provide a reasonable explanation for the inconsistency in previous FLA-depression research. Frontiers Media S.A. 2023-06-28 /pmc/articles/PMC10336204/ /pubmed/37448489 http://dx.doi.org/10.3389/fpsyt.2023.1194318 Text en Copyright © 2023 Sharpley, Bitsika, Arnold, Shadli, Jesulola and Agnew. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry Sharpley, Christopher F. Bitsika, Vicki Arnold, Wayne M. Shadli, Shabah M. Jesulola, Emmanuel Agnew, Linda L. Network analysis of frontal lobe alpha asymmetry confirms the neurophysiological basis of four subtypes of depressive behavior |
title | Network analysis of frontal lobe alpha asymmetry confirms the neurophysiological basis of four subtypes of depressive behavior |
title_full | Network analysis of frontal lobe alpha asymmetry confirms the neurophysiological basis of four subtypes of depressive behavior |
title_fullStr | Network analysis of frontal lobe alpha asymmetry confirms the neurophysiological basis of four subtypes of depressive behavior |
title_full_unstemmed | Network analysis of frontal lobe alpha asymmetry confirms the neurophysiological basis of four subtypes of depressive behavior |
title_short | Network analysis of frontal lobe alpha asymmetry confirms the neurophysiological basis of four subtypes of depressive behavior |
title_sort | network analysis of frontal lobe alpha asymmetry confirms the neurophysiological basis of four subtypes of depressive behavior |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336204/ https://www.ncbi.nlm.nih.gov/pubmed/37448489 http://dx.doi.org/10.3389/fpsyt.2023.1194318 |
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