Widespread Morphometric Abnormalities in Major Depression: Neuroplasticity and Potential for Biomarker Development.
Anterior cingulate
Antidepressant
Hippocampus
MR imaging
Machine learning
Neuroplasticity
Psychoradiology
Psychotherapy
Journal
Neuroimaging clinics of North America
ISSN: 1557-9867
Titre abrégé: Neuroimaging Clin N Am
Pays: United States
ID NLM: 9211377
Informations de publication
Date de publication:
Feb 2020
Feb 2020
Historique:
entrez:
25
11
2019
pubmed:
25
11
2019
medline:
21
7
2020
Statut:
ppublish
Résumé
Major depression is common and debilitating. Identifying neurobiological subtypes that comprise the disorder and predict clinical outcome are key challenges. Genetic and environmental factors leading to major depression are expressed in neural structure and function. Volumetric decreases in gray matter have been demonstrated in corticolimbic circuits involved in emotion regulation. MR imaging observable abnormalities reflect cytoarchitectonic alterations within a local neuroendocrine milieu with systemic effects. Multivariate pattern analysis offers the potential to identify the neurobiological subtypes and predictors of clinical outcome. It is essential to characterize disease heterogeneity by incorporating data-driven inductive and symptom-based deductive approaches in an iterative process.
Identifiants
pubmed: 31759575
pii: S1052-5149(19)30087-5
doi: 10.1016/j.nic.2019.09.008
pmc: PMC7106506
mid: NIHMS1571562
pii:
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
85-95Subventions
Organisme : Medical Research Council
ID : G0802594
Pays : United Kingdom
Organisme : NIBIB NIH HHS
ID : R01 EB022573
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH112070
Pays : United States
Organisme : NIA NIH HHS
ID : RF1 AG054409
Pays : United States
Informations de copyright
Copyright © 2019 Elsevier Inc. All rights reserved.
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