Intrinsic connectomes are a predictive biomarker of remission in major depressive disorder.
Adult
Antidepressive Agents
/ pharmacology
Biomarkers
/ metabolism
Brain
/ diagnostic imaging
Citalopram
/ pharmacology
Connectome
Depressive Disorder, Major
/ diagnosis
Female
Humans
Magnetic Resonance Imaging
Male
Neural Pathways
/ diagnostic imaging
Remission Induction
Sertraline
/ pharmacology
Venlafaxine Hydrochloride
/ pharmacology
Young Adult
Journal
Molecular psychiatry
ISSN: 1476-5578
Titre abrégé: Mol Psychiatry
Pays: England
ID NLM: 9607835
Informations de publication
Date de publication:
07 2020
07 2020
Historique:
received:
15
04
2019
accepted:
23
10
2019
revised:
07
10
2019
pubmed:
7
11
2019
medline:
18
3
2021
entrez:
8
11
2019
Statut:
ppublish
Résumé
Although major depressive disorder (MDD) is associated with altered functional coupling between disparate neural networks, the degree to which such measures are ameliorated by antidepressant treatment is unclear. It is also unclear whether functional connectivity can be used as a predictive biomarker of treatment response. Here, we used whole-brain functional connectivity analysis to identify neural signatures of remission following antidepressant treatment, and to identify connectomic predictors of treatment response. 163 MDD and 62 healthy individuals underwent functional MRI during pre-treatment baseline and 8-week follow-up sessions. Patients were randomized to escitalopram, sertraline or venlafaxine-XR antidepressants and assessed at follow-up for remission. Baseline measures of intrinsic functional connectivity between each pair of 333 regions were analyzed to identify pre-treatment connectomic features that distinguish remitters from non-remitters. We then interrogated these connectomic differences to determine if they changed post-treatment, distinguished patients from controls, and were modulated by medication type. Irrespective of medication type, remitters were distinguished from non-remitters by greater connectivity within the default mode network (DMN); specifically, between the DMN, fronto-parietal and somatomotor networks, the DMN and visual, limbic, auditory and ventral attention networks, and between the fronto-parietal and somatomotor networks with cingulo-opercular and dorsal attention networks. This baseline hypo-connectivity for non-remitters also distinguished them from controls and increased following treatment. In contrast, connectivity for remitters was higher than controls at baseline and also following remission, suggesting a trait-like connectomic characteristic. Increased functional connectivity within and between large-scale intrinsic brain networks may characterize acute recovery with antidepressants in depression.
Identifiants
pubmed: 31695168
doi: 10.1038/s41380-019-0574-2
pii: 10.1038/s41380-019-0574-2
pmc: PMC7303006
doi:
Substances chimiques
Antidepressive Agents
0
Biomarkers
0
Citalopram
0DHU5B8D6V
Venlafaxine Hydrochloride
7D7RX5A8MO
Sertraline
QUC7NX6WMB
Banques de données
ClinicalTrials.gov
['NCT00693849']
Types de publication
Journal Article
Randomized Controlled Trial
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1537-1549Subventions
Organisme : NIMH NIH HHS
ID : U01 MH109985
Pays : United States
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