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

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

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

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

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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Crossref · 10.3389/fnsys.2010.00041

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Metadata

Authors
Veer, I. M.
Affiliations
Leiden University (NL)
Corresponding author
Veer, Ilya M.
Venue
Frontiers in Systems Neuroscience
Published
2010
Volume
4
ISSN
1662-5137 (ISSN-L)
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
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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