Aberrant brain entropy in posttraumatic stress disorder comorbid with major depressive disorder during the coronavirus disease 2019 pandemic

Copyright © 2023 Fu, Liang, Lin, Wu, Xie, Li, Lei, Li, Yu, Yin, Hua, Li, Wu, Ma and Jiang..

Aim: Previously, neuroimaging studies on comorbid Posttraumatic-Major depression disorder (PTSD-MDD) comorbidity found abnormalities in multiple brain regions among patients. Recent neuroimaging studies have revealed dynamic nature on human brain activity during resting state, and entropy as an indicator of dynamic regularity may provide a new perspective for studying abnormalities of brain function among PTSD-MDD patients. During the COVID-19 pandemic, there has been a significant increase in the number of patients with PTSD-MDD. We have decided to conduct research on resting-state brain functional activity of patients who developed PTSD-MDD during this period using entropy.

Methods: Thirty three patients with PTSD-MDD and 36 matched TCs were recruited. PTSD and depression symptoms were assessed using multiple clinical scales. All subjects underwent functional magnetic resonance imaging (fMRI) scans. And the brain entropy (BEN) maps were calculated using the BEN mapping toolbox. A two-sample t-test was used to compare the differences in the brain entropy between the PTSD-MDD comorbidity group and TC group. Furthermore, correlation analysis was conducted between the BEN changes in patients with PTSD-MDD and clinical scales.

Results: Compared to the TCs, PTSD-MDD patients had a reduced BEN in the right middle frontal orbital gyrus (R_MFOG), left putamen, and right inferior frontal gyrus, opercular part (R_IFOG). Furthermore, a higher BEN in the R_MFOG was related to higher CAPS and HAMD-24 scores in the patients with PTSD-MDD.

Conclusion: The results showed that the R_MFOG is a potential marker for showing the symptom severity of PTSD-MDD comorbidity. Consequently, PTSD-MDD may have reduced BEN in frontal and basal ganglia regions which are related to emotional dysregulation and cognitive deficits.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:14

Enthalten in:

Frontiers in psychiatry - 14(2023) vom: 01., Seite 1143780

Sprache:

Englisch

Beteiligte Personen:

Fu, Shishun [VerfasserIn]
Liang, Sipei [VerfasserIn]
Lin, Chulan [VerfasserIn]
Wu, Yunfan [VerfasserIn]
Xie, Shuangcong [VerfasserIn]
Li, Meng [VerfasserIn]
Lei, Qiang [VerfasserIn]
Li, Jianneng [VerfasserIn]
Yu, Kanghui [VerfasserIn]
Yin, Yi [VerfasserIn]
Hua, Kelei [VerfasserIn]
Li, Wuming [VerfasserIn]
Wu, Caojun [VerfasserIn]
Ma, Xiaofen [VerfasserIn]
Jiang, Guihua [VerfasserIn]

Links:

Volltext

Themen:

Brain entropy
FMRI
Journal Article
Major depressive disorder
Posttraumatic stress disorder
Resting-state

Anmerkungen:

Date Revised 20.06.2023

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.3389/fpsyt.2023.1143780

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM358354897