Parsing Heterogeneity in Mood Disorders: The Challenges of Modeling Stable Mood Disorder–Related Functional Connectomes-Reference-Cited by-同舟云学术

Parsing Heterogeneity in Mood Disorders: The Challenges of Modeling Stable Mood Disorder–Related Functional Connectomes

Published:2022-01 Issue:1 Volume:7 Page:7-9
ISSN:2451-9022
Container-title:Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
language:en
Short-container-title:Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

Author:

Belleau Emily L.^ORCID

Funder

Klingenstein Third Generation Foundation

National Institute of Mental Health

Publisher

Elsevier BV

Subject

Biological Psychiatry,Neurology (clinical),Cognitive Neuroscience,Radiology, Nuclear Medicine and imaging

Reference10 articles.

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2. Evaluating the evidence for biotypes of depression: Methodological replication and extension of Drysdale et al. (2017);Dinga;Neuroimage,2019

3. Using network parcels and resting-state networks to estimate correlates of mood disorder and related Research Domain Criteria constructs of reward responsiveness and inhibitory control;Langenecker;Biol Psychiatry Cogn Neurosci Neuroimaging,2022

4. What have we really learned from functional connectivity in clinical populations?;Zhang;Neuroimage,2021

5. Large-scale network dysfunction in major depressive disorder: A meta-analysis of resting-state functional connectivity;Kaiser;JAMA Psychiatry,2015

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1. Editorial: Use of neuroimaging techniques for the prevention, assessment, and treatment of mood disorders;Frontiers in Psychiatry;2023-01-04