Whole brain resting-state analysis reveals decreased functional connectivity in major depression
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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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Other studies in major depressive disorder reported decreased functional connectivity between more dorsal areas of the frontolimbic network compared with subcortical and limbic areas.
“Conversely, other studies in MDD reported decreased functional connectivity between more dorsal areas of the frontolimbic network compared with subcortical and limbic areas within the frontolimbic (57,60-62).”
From Relation Between Structural and Functional Connectivity in Major Depressive Disorder (2013) · cites this paper as [62]
Abnormal resting-state functional connectivity of the primary visual area, including the occipital cortex and calcarine gyrus and extending into the lingual gyrus, has been reported previously.
“The abnormality of the restingstate functional connectivity related to the primary visual area, including the occipital cortex and calcarine gyrus and extending into the lingual gyrus, has been reported before (Veer et al., 2010) and may be related to impaired selective attention and working memory in major depression (Borkowska and Rybakowski, 2001;Phillips et al., 2003;Desseilles et al., 2009).”
From Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis (2012) · cites this paper as Veer et al., 2010
The study demonstrated aberrant connectivity of visual cortical areas with regions involved in visual processing, including the lingual gyrus, fusiform gyrus, inferior occipital gyrus and calcarine gyrus.
“Aberrant connectivity of the visual cortical areas with regions known to be involved in visual processing, such as the lingual gyrus, fusiform gyrus, inferior occipital gyrus and calcarine gyrus, has been demonstrated in this study (Beckmann et al., 2005;Damoiseaux et al., 2006;Veer et al., 2010).”
From Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis (2012) · cites this paper as Veer et al., 2010
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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)
- 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 › 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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