Dynamic Resting-State Functional Connectivity in Major Depression
Open accessAbstract
Major depressive disorder (MDD) is characterized by abnormal resting-state functional connectivity (RSFC), especially in medial prefrontal cortical (MPFC) regions of the default network. However, prior research in MDD has not examined dynamic changes in functional connectivity as networks form, interact, and dissolve over time. We compared unmedicated individuals with MDD (n=100) to control participants (n=109) on dynamic RSFC (operationalized as SD in RSFC over a series of sliding windows) of an MPFC seed region during a resting-state functional magnetic resonance imaging scan. Among participants with MDD, we also investigated the relationship between symptom severity and RSFC. Secondary analyses probed the association between dynamic RSFC and rumination. Results showed that individuals with MDD were characterized by decreased dynamic (less variable) RSFC between MPFC and regions of parahippocampal gyrus within the default network, a pattern related to sustained positive connectivity between these regions across sliding windows. In contrast, the MDD group exhibited increased dynamic (more variable) RSFC between MPFC and regions of insula, and higher severity of depression was related to increased dynamic RSFC between MPFC and dorsolateral prefrontal cortex. These patterns of highly variable RSFC were related to greater frequency of strong positive and negative correlations in activity across sliding windows. Secondary analyses indicated that increased dynamic RSFC between MPFC and insula was related to higher levels of recent rumination. These findings provide initial evidence that depression, and ruminative thinking in depression, are related to abnormal patterns of fluctuating communication among brain systems involved in regulating attention and self-referential thinking.
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RSFC is associated with individual differences such as anxiety and depression.
“Researchers have found that RSFC is associated with a variety of individual differences, such as, personality [3], depression [47, 48], anxiety [50, 107], autism [18], dementia [6] and Alzheimer’s disease [93].”
From Predicting Brain Functional Connectivity Using Mobile Sensing (2020) · cites this paper as [48]
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- Authors
- Kaiser, R. H., Whitfield-Gabrieli, S., Dillon, D. G., Goer, F., Beltzer, M., Minkel, J., Smoski, M., Dichter, G., & Pizzagalli, D. A.
- Affiliations
- Harvard University (US)
- University of North Carolina at Chapel Hill (US)
- Duke Medical Center (US)
- Corresponding author
- Kaiser, Roselinde H
- Pizzagalli, Diego A
- ORCID
- Venue
- Neuropsychopharmacology
- Published
- 2015-12-03
- Volume
- 41
- Issue
- 7
- Pages
- 1822-1830
- ISSN
- 0893-133X (ISSN-L)
- 1740-634X
- PMC
- PMC4869051
- OpenAlex
- W2235823035
- Cited by
- 438
- References
- 54
- Citations by year
- 2026: 49 · 2025: 39 · 2024: 31 · 2023: 41 · 2022: 47 · 2021: 48 · 2020: 68 · 2019: 40 · 2018: 41 · 2017: 20 · 2016: 14
- FWCI
- 15.04
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Neuropsychopharmacology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- National Institute of Mental Health (F32MH106262, R00MH094438, R01MH101521, R21MH094781, R01MH095809, R01MH068376, MH101521, MH068376)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (U54HD079124)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Keywords
- major depressive disorder, medial prefrontal cortex, default mode network, parahippocampal gyrus, insula, dorsolateral prefrontal cortex, rumination, symptom severity, untreated depression, self-referential processing
- MeSH terms
- Adolescent, Adult, Major Depressive Disorder, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Neural Pathways, Oxygen, Psychiatric Status Rating Scales, Rest, Prefrontal Cortex, Nonlinear Dynamics, Young Adult
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