Integrated cross-network connectivity of amygdala, insula, and subgenual cingulate associated with facial emotion perception in healthy controls and remitted major depressive disorder
Open accessAbstract
Emotion perception deficits could be due to disrupted connectivity of key nodes in the salience and emotion network (SEN), including the amygdala, subgenual anterior cingulate cortex (sgACC), and insula. We examined SEN resting-state (rs-)fMRI connectivity in rMDD in relation to Facial Emotion Perception Test (FEPT) performance. Fifty-two medication-free people ages 18 to 23 years participated. Twenty-seven had major depressive disorder (MDD) in remission (rMDD, 10 males), as MDD is associated with emotion perception deficits and alterations in rsfMRI. Twenty-five healthy controls (10 males) also participated. Participants completed the FEPT during fMRI, in addition to an 8-minute eyes-open resting-state scan. Seed regions of interest were defined in the amygdala, anterior insula and sgACC. Multiple regression analyses co-varied diagnostic group, sex and movement parameters. Emotion perception accuracy was positively associated with connectivity between amygdala seeds and regions primarily in the SEN and cognitive control network (CCN), and also the default mode network (DMN). Accuracy was also positively associated with connectivity between the sgACC seeds and other SEN regions, and the DMN, particularly for the right sgACC. Connectivity negatively associated with emotion perception was mostly with regions outside of these three networks, other than the left insula and part of the DMN. This study is the first to our knowledge to demonstrate relationships between facial emotion processing and resting-state connectivity with SEN nodes and between SEN nodes and regions located within other neural networks.
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Inconsistencies in abnormal RSFC findings in remitted MDD may be the result of different methods or sample characteristics, as so far mostly adolescent patients have been studied.
“Inconsistencies may be the result of different methods or sample characteristics: so far mostly adolescent patients have been studied (Bhaumik et al., 2017; Dong et al., 2019; Jenkins et al., 2017; Langenecker et al., 2018; Peters et al., 2016a).”
From Understanding and predicting future relapse in depression from resting state functional connectivity and self-referential processing (2023) · cites this paper as Jenkins et al., 2017
The Methods > Participants section (page unavailable) describes a remitted-MDD sample aged 18–23, with a mean age of 21.48, so this study concerns young people but not predominantly adolescents. The Discussion > Limitations section notes methodological choices that warrant replication, but does not say that differences in methods or samples explain inconsistent RSFC findings across studies. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe evidence in favour of abnormal resting-state functional connectivity of the subgenual anterior cingulate cortex is heterogeneous and relies on partially overlapping samples.
“Second, the evidence in favour of abnormal RSFC of the sgACC, on which we based our hypotheses and analyses, is admittedly heterogeneous and also does rely on partially overlapping samples15,19–21.”
From The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse (2020) · cites this paper as [21]
The Introduction (page unavailable) reports prior differences in resting-state connectivity between remitted-depression and control groups, while the Discussion’s task-based connectivity section (page unavailable) notes a prior finding of no within-network group difference. This is consistent with varied findings, but the paper does not characterize the sgACC evidence as heterogeneous or establish that the cited studies used partially overlapping samples. (LLM, conf=0.76)
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Langenecker, S. A., Jenkins, L. M., Stange, J. P., Chang, Y.-S., DelDonno, S. R., Bessette, K. L., Passarotti, A. M., Bhaumik, R., Ajilore, O., & Jacobs, R. H. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2018.10.004 · Cited by 47 · see citing works
“Resting state analyses with an overlapping subset of these participants have been included in several prior reports including presence of past disease (30-32), reliability and links to affective biases (33), symptoms and number of episodes (34), relationship to memory performance (35), relationship to identification o…”
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- Authors
- Jenkins, L. M., Stange, J. P., Barba, A., DelDonno, S. R., Kling, L. R., Briceño, E. M., Weisenbach, S. L., Phan, K. L., Shankman, S. A., Welsh, R. C., & Langenecker, S. A.
- Affiliations
- University of Illinois Chicago (US)
- University of Michigan (US)
- University of Utah (US)
- Corresponding author
- Langenecker, Scott A.
- ORCID
- Venue
- Cognitive, Affective, & Behavioral Neuroscience
- Published
- 2017-11-06
- Volume
- 17
- Issue
- 6
- Pages
- 1242-1254
- ISSN
- 1530-7026 (ISSN-L)
- 1531-135X
- PMC
- PMC5803100
- OpenAlex
- W2767834810
- Cited by
- 28
- References
- 79
- Citations by year
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- 2.20
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Cognitive Affective & Behavioral Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH (MH 091811)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Keywords
- emotional face processing, remitted depression, resting-state functional connectivity, amygdala, anterior insula, subgenual anterior cingulate cortex, salience network, default mode network, cognitive control network, artificial neural networks
- MeSH terms
- Facial Recognition, Adolescent, Brain, Brain Mapping, Major Depressive Disorder, Emotions, Female, Humans, Magnetic Resonance Imaging, Male, Neural Pathways, Neuropsychological Tests, Regression Analysis, Rest, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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