Ventral striatum functional connectivity during rewards and losses and symptomatology in depressed patients
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Background The ventral striatum (VS) and striatal network supports goal motivated behavior. Identifying how depressed patients differ in their striatal network during the processing of emotionally salient events is a step towards uncovering biomarkers for diagnosis and treatment.Methods 38 depressed and 30 healthy adults completed a task that examined brain activation to the anticipation and receipt of monetary rewards and losses. Data were collected using a 3T Siemens Trio scanner. Functional connectivity differences were examined with seeds in the Left or Right VS. FC estimates were regressed on specific symptoms.Results Depressed patients displayed higher functional connectivity between the VS and midline cortical areas during loss versus reward trials. Anhedonia and depressed mood were associated to fairly similar striatal circuits but suicidality was associated to a unique VS-midline structures coupling, while depression severity was linked to higher VS to caudate and precuneus connectivity during loss versus reward trials.Conclusions Depression is characterized by excessive VS coupling to cognitive control and associative networks during losses versus rewards. High VS to midline cortical structures coupling may index suicidality.
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During reward processing, in loss vs reward conditions, higher coupling between the VS and prefrontal areas including the ACC, and connectivity of the VS with the left caudate and mid-cingulate, was observed, mainly driven by higher connectivity during loss/disappointment vs relief/win.
“During reward processing, more specifically loss vs reward conditions, higher coupling between the VS and prefrontal areas, including the ACC, as well as connectivity of the VS and the left caudate and mid-cingulate was shown, which was mainly driven by higher connectivity during loss/disappointment vs relief/win (Quevedo et al., 2017).”
From Circuit Mechanisms of Reward, Anhedonia, and Depression (2019) · cites this paper as Quevedo et al., 2017
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Mooij, T., Smeets, E., & de Wit, W. (2010) · British Journal of Educational Psychology · doi:10.1348/000709910x526614 · Cited by 35 · see citing works
Eryilmaz, H., Ville, D. V. D., Schwartz, S., & Vuilleumier, P. O. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0065-14.2014 · Cited by 30 · see citing works
Neurophysiological correlates of anhedonia in feedback processing
Mies, G. W., den Berg, I. V., Franken, I. H. A., Smits, M., van der Molen, M. W., & van der Veen, F. M. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00096 · Cited by 15 · see citing works
Sturup, J., Kristiansson, M., & Lindqvist, P. (2011) · Psychiatry Research · doi:10.1016/j.psychres.2010.12.021 · Cited by 11 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
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Imaging suicidal thoughts and behaviors: a comprehensive review of 2 decades of neuroimaging studies
Schmaal, L., van Harmelen, A.-L., Chatzi, V., Lippard, E. T. C., Toenders, Y. J., Averill, L. A., Mazure, C. M., & Blumberg, H. P. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0587-x · Cited by 373 · see citing works
Circuit Mechanisms of Reward, Anhedonia, and Depression
Höflich, A., Michenthaler, P., Kasper, S., & Lanzenberger, R. (2019) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyy081 · Cited by 253 · see citing works
Neural substrates of suicide and suicidal behaviour: From a neuroimaging perspective
Balcioglu, Y. H., & Kose, S. (2018) · Psychiatry and Clinical Psychopharmacology · doi:10.1080/24750573.2017.1420378 · Cited by 50 · see citing works
Reduced dorsal striatal gray matter volume predicts implicit suicidal ideation in adolescents
Ho, T. C., Cichocki, A. C., Gifuni, A. J., Catalina Camacho, M., Ordaz, S. J., Singh, M. K., & Gotlib, I. H. (2018) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsy089 · Cited by 48 · see citing works
Vichaya, E. G., & Dantzer, R. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.01.008 · Cited by 47 · see citing works
Alzarea, S., Abbas, M., Ronan, P. J., Lutfy, K., & Rahman, S. (2022) · Brain Sciences · doi:10.3390/brainsci12111493 · Cited by 17 · see citing works
- Authors
- Quevedo, K., Ng, R., Scott, H., Kodavaganti, S., Smyda, G., Diwadkar, V., & Phillips, M.
- Affiliations
- University of Minnesota (US)
- University of Pittsburgh (US)
- Wayne State University (US)
- Corresponding author
- Quevedo, Karina
- Venue
- Biological Psychology
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 123
- Pages
- 62-73
- ISSN
- 0301-0511 (ISSN-L)
- PMC
- PMC5737904
- OpenAlex
- W2552254046
- Cited by
- 53
- References
- 106
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 6 · 2023: 6 · 2022: 8 · 2021: 7 · 2020: 4 · 2019: 2 · 2018: 10 · 2017: 4
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Biological Psychology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5r01mh076971-05)
- National Institute of Mental Health (R01-MH076971, R01MH111177, K01MH092601, R01MH059299)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- ventral striatum, functional connectivity, depression, reward processing, loss processing, anhedonia, suicidality, caudate nucleus, precuneus, cognitive control, depression severity, biomarkers
- MeSH terms
- Adult, Cerebral Cortex, Depression, Female, Humans, Magnetic Resonance Imaging, Male, Reward, Executive Function, Suicidal Ideation, Anhedonia, Connectome, Ventral Striatum
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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