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Neural correlates of anhedonia in young adults with subthreshold depression: A graph theory approach for cortical-subcortical structural covariance.
Yun, Je-Yeon; Choi, Soo-Hee; Park, Susan; Yoo, So Young; Jang, Joon Hwan.
Affiliation
  • Yun JY; Seoul National University Hospital, Seoul, Republic of Korea; Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, Republic of Korea. Electronic address: tina177@snu.ac.kr.
  • Choi SH; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea. Electronic address: soohchoi@snu.ac.kr.
  • Park S; Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.
  • Yoo SY; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea. Electronic address: soyoung.yoo@snu.ac.kr.
  • Jang JH; Department of Psychiatry, Seoul National University Health Service Center, Seoul, Republic of Korea; Department of Human Systems Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. Electronic address: jhjang602@snu.ac.kr.
J Affect Disord ; 366: 234-243, 2024 Dec 01.
Article in En | MEDLINE | ID: mdl-39216643
ABSTRACT

BACKGROUND:

Anhedonia is an enduring symptom of subthreshold depression (StD) and predict later onset of major depressive disorder (MDD). Brain structural covariance describes the inter-regional distribution of morphological changes compared to healthy controls (HC) and reflects brain maturation and disease progression. We investigated neural correlates of anhedonia from the structural covariance.

METHODS:

T1-weighted brain magnetic resonance images were acquired from 79 young adults (26 StD, 30 MDD, and 23 HC). Intra-individual structural covariance networks of 68 cortical surface area (CSAs), 68 cortical thicknesses (CTs), and 14 subcortical volumes were constructed. Group-level hubs and principal edges were defined using the global and regional graph metrics, compared between groups, and examined for the association with anhedonia severity.

RESULTS:

Global network metrics were comparable among the StD, MDD, and HC. StD exhibited lower centralities of left pallidal volume than HC. StD showed higher centralities than HC in the CSAs of right rostral anterior cingulate cortex (ACC) and pars triangularis, and in the CT of left pars orbitalis. Less anhedonia was associated with higher centralities of left pallidum and right amygdala, higher edge betweenness centralities in the structural covariance (EBSC) of left postcentral gyrus-parahippocampal gyrus and LIPL-right amygdala. More anhedonia was associated with higher centralities of left inferior parietal lobule (LIPL), left postcentral gyrus, left caudal ACC, and higher EBSC of LIPL-left postcentral gyrus, LIPL-right lateral occipital gyrus, and left caudal ACC-parahippocampal gyrus.

LIMITATIONS:

This study has a cross-sectional design.

CONCLUSIONS:

Structural covariance of brain morphologies within the salience and limbic networks, and among the salience-limbic-default mode-somatomotor-visual networks, are possible neural correlates of anhedonia in depression.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Magnetic Resonance Imaging / Depressive Disorder, Major / Anhedonia Limits: Adult / Female / Humans / Male Language: En Journal: J Affect Disord Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Magnetic Resonance Imaging / Depressive Disorder, Major / Anhedonia Limits: Adult / Female / Humans / Male Language: En Journal: J Affect Disord Year: 2024 Document type: Article