Cited by 753Functional Brain Connectivity StudiesTreatment of Major DepressionMental Health Research Topics

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Whole brain resting-state analysis reveals decreased functional connectivity in major depression

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Veer, Ilya M.·2010·Frontiers in Systems Neuroscience

DOI 10.3389/fnsys.2010.00041PMC PMC2950744

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Abstract

Recently, both increases and decreases in resting-state functional connectivity have been found in major depression. However, these studies only assessed functional connectivity within a specific network or between a few regions of interest, while comorbidity and use of medication was not always controlled for. Therefore, the aim of the current study was to investigate whole-brain functional connectivity, unbiased by a priori definition of regions or networks of interest, in medication-free depressive patients without comorbidity. We analyzed resting-state fMRI data of 19 medication-free patients with a recent diagnosis of major depression (within 6 months before inclusion) and no comorbidity, and 19 age- and gender-matched controls. Independent component analysis was employed on the concatenated data sets of all participants. Thirteen functionally relevant networks were identified, describing the entire study sample. Next, individual representations of the networks were created using a dual regression method. Statistical inference was subsequently done on these spatial maps using voxel-wise permutation tests. Abnormal functional connectivity was found within three resting-state networks in depression: (1) decreased bilateral amygdala and left anterior insula connectivity in an affective network, (2) reduced connectivity of the left frontal pole in a network associated with attention and working memory, and (3) decreased bilateral lingual gyrus connectivity within ventromedial visual regions. None of these effects were associated with symptom severity or gray matter density. We found abnormal resting-state functional connectivity not previously associated with major depression, which might relate to abnormal affect regulation and mild cognitive deficits, both associated with the symptomatology of the disorder.

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Authors: Veer, I. M.
Affiliations: Leiden University (NL)
Corresponding author: Veer, Ilya M.
ORCID: Veer, Ilya M.
Venue: Frontiers in Systems Neuroscience
Publisher: Frontiers Media SA
Published: 2010
Volume: 4
ISSN: 1662-5137 (ISSN-L)
DOI: 10.3389/fnsys.2010.00041
PMC: PMC2950744
OpenAlex: W2169793721
Cited by: 753
References: 63
Citations by year: 2026: 6 · 2025: 24 · 2024: 16 · 2023: 15 · 2022: 31 · 2021: 75 · 2020: 49 · 2019: 59 · 2018: 53 · 2017: 52 · 2016: 69 · 2015: 74 · 2014: 73 · 2013: 72 · 2012: 56
FWCI: 30.45
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
Locations: Frontiers in Systems Neuroscience (publishedVersion, cc-by)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion, other-oa)
University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, cc-by)
Data Archiving and Networked Services (DANS) (submittedVersion)
Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by)
Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
Funders: ZonMw
Vrije Universiteit Amsterdam
GGZ inGeest
Rivierduinen
GGZ Friesland
GGZ Drenthe
Nederlands Instituut voor Onderzoek van de Gezondheidszorg
Leids Universitair Medisch Centrum
Universitair Medisch Centrum Groningen
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords: major depressive disorder, resting-state functional connectivity, whole-brain analysis, independent component analysis, dual regression, amygdala connectivity, anterior insula, frontal pole, lingual gyrus, affective networks, visual network, emotion regulation, cognitive impairment, medication-free patients, symptom severity

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Whole brain resting-state analysis reveals decreased functional connectivity in major depression

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