Abnormal habenula functional connectivity characterizes treatment-resistant depression.


Journal

NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070

Informations de publication

Date de publication:
2022
Historique:
received: 22 11 2021
revised: 10 02 2022
accepted: 14 03 2022
pubmed: 20 3 2022
medline: 20 5 2022
entrez: 19 3 2022
Statut: ppublish

Résumé

A significant proportion of patients with major depressive disorder are resistant to antidepressant medication and psychological treatments. A core symptom of treatment-resistant depression (TRD) is anhedonia, or the inability to feel pleasure, which has been attributed to disrupted habenula function - a component of the reward network. This study aimed to map detailed neural circuitry architecture related to the habenula to identify neural mechanisms of TRD. 35 TRD patients, 35 patients with treatment-sensitive depression (TSD), and 38 healthy controls (HC) underwent resting-state functional magnetic resonance imaging. Functional connectivity analyses were performed using the left and right habenula as seed regions of interest, and the three groups were compared using whole-brain voxel-wise comparisons. The TRD group demonstrated hyperconnectivity of the left habenula to the left precuneus cortex and the right precentral gyrus, compared to the TSD group, and to the right precuneus cortex, compared to the TSD and HC groups. In contrast, TSD demonstrated hypoconnectivity than HC for both connectivity measures. These connectivity values were significantly higher in patients with a history of suicidal ideation. This study provides evidence that, unlike TSD, TRD is characterized by hyperconnectivity of the left habenula particularly with regions of the default mode network. An increased interplay between reward and default mode networks is linked to suicidality and could be a possible mechanism for anhedonia in hard to treat depression.

Sections du résumé

BACKGROUND
A significant proportion of patients with major depressive disorder are resistant to antidepressant medication and psychological treatments. A core symptom of treatment-resistant depression (TRD) is anhedonia, or the inability to feel pleasure, which has been attributed to disrupted habenula function - a component of the reward network. This study aimed to map detailed neural circuitry architecture related to the habenula to identify neural mechanisms of TRD.
METHODS
35 TRD patients, 35 patients with treatment-sensitive depression (TSD), and 38 healthy controls (HC) underwent resting-state functional magnetic resonance imaging. Functional connectivity analyses were performed using the left and right habenula as seed regions of interest, and the three groups were compared using whole-brain voxel-wise comparisons.
RESULTS
The TRD group demonstrated hyperconnectivity of the left habenula to the left precuneus cortex and the right precentral gyrus, compared to the TSD group, and to the right precuneus cortex, compared to the TSD and HC groups. In contrast, TSD demonstrated hypoconnectivity than HC for both connectivity measures. These connectivity values were significantly higher in patients with a history of suicidal ideation.
CONCLUSIONS
This study provides evidence that, unlike TSD, TRD is characterized by hyperconnectivity of the left habenula particularly with regions of the default mode network. An increased interplay between reward and default mode networks is linked to suicidality and could be a possible mechanism for anhedonia in hard to treat depression.

Identifiants

pubmed: 35305499
pii: S2213-1582(22)00055-9
doi: 10.1016/j.nicl.2022.102990
pmc: PMC8933564
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

102990

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Ana Rita Barreiros (AR)

Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Australia. Electronic address: ana.barreiros@sydney.edu.au.

Isabella Breukelaar (I)

Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; School of Psychology, Faculty of Medicine and Health, University of New South Wales, Kensington, NSW, Australia.

Prashanth Mayur (P)

Mood Disorders Unit, Cumberland Hospital, Western Sydney Local Health District, Parramatta, NSW, Australia.

Jagadeesh Andepalli (J)

Mood Disorders Unit, Cumberland Hospital, Western Sydney Local Health District, Parramatta, NSW, Australia.

Yoshiro Tomimatsu (Y)

Research, Takeda Pharmaceutical Company Ltd., Kanagawa, Japan.

Kenta Funayama (K)

Research, Takeda Pharmaceutical Company Ltd., Kanagawa, Japan.

Sheryl Foster (S)

Department of Radiology, Westmead Hospital, Westmead, NSW, Australia; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.

Philip Boyce (P)

Specialty of Psychiatry, Sydney Medical School, The University of Sydney, Sydney, Australia.

Gin S Malhi (GS)

Specialty of Psychiatry, Sydney Medical School, The University of Sydney, Sydney, Australia; CADE Clinic, Department of Psychiatry, Royal North Shore Hospital, Sydney, NSW, Australia; Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Australia; Department of Psychiatry, University of Oxford, Oxford, United Kingdom.

Anthony Harris (A)

Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; Specialty of Psychiatry, Sydney Medical School, The University of Sydney, Sydney, Australia.

Mayuresh S Korgaonkar (MS)

Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Australia; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia. Electronic address: m.korgaonkar@sydney.edu.au.

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