The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Unmasking Disease-Specific Cerebral Blood Flow Abnormalities: Mood Challenge in Patients With Remitted Unipolar Depression
Abstract
OBJECTIVE: Remitted major depressive disorder is a vulnerable clinical state, suggesting persistence of an underlying disease diathesis between episodes. To investigate neural correlates of such risk and to identify potential depression trait markers, euthymic unipolar patients in remission, acutely depressed patients, and never-depressed volunteers were studied before and after transient sad mood challenge. METHOD: Common and differential changes in regional blood flow among the groups relative to the baseline state were examined with [(15)O]H(2)O positron emission tomography after provocation of sadness with autobiographical memory scripts. RESULTS: Mood provocation in both depressed groups resulted in regional cerebral blood flow (rCBF) decreases in medial orbitofrontal cortex Brodmann's area 10/11, which were absent in the healthy group. In the remitted group, mood provocation produced a unique rCBF decrease in pregenual anterior cingulate 24a. The main effects in healthy subjects, an rCBF increase in subgenual cingulate Brodmann's area 25 and a decrease in right prefrontal cortex Brodmann's area 9, were not present in the depressed groups. CONCLUSIONS: Mood challenge in unipolar euthymic patients in full remission unmasks an apparent depression trait marker. The pattern of acute CBF changes is distinct from that seen in euthymic healthy volunteers and mirrors the untreated depressed state seen during a major depressive episode and the pattern of change seen in depressed patients. These findings suggest that disease-specific modifications of pathways mediating transient mood changes are present in unipolar depression independent of clinical illness status. These findings have implications for understanding the vulnerability of remitted patients for illness relapse.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Functional neuroimaging studies in MDD have consistently indicated hypoactivation in reward-processing regions, including the dorsal and ventral striatum [210-214] and a host of other reward structures, including the medial prefrontal cortex [215,216], the pregenual and subgenual anterior cingulate, and the medial frontal gyrus [217,218].”
From Reward circuitry dysfunction in psychiatric and neurodevelopmental disorders and genetic syndromes: animal models and clinical findings (2012) · cites this paper as [218]
In the citing paper
“Resting blood flow recordings reveal hypoperfusion across a network of frontoparietal regions and hyperperfusion in subgenual cingulate and anterior insular cortices both in mood disorder and also with induction of transient sadness in healthy subjects (Mayberg et al. 1999; Liotti et al. 2002).”
From Anatomical connectivity of the subgenual cingulate region targeted with deep brain stimulation for treatment-resistant depression (2008) · cites this paper as Liotti et al. 2002
Citations
Cites
Talairach, J., Tournoux, P., & Rayport, M. (1988) · Thieme eBooks · Cited by 5,058
Prevention of relapse/recurrence in major depression by mindfulness-based cognitive therapy.
Teasdale, J. D., Segal, Z. V., Williams, J. M. G., Ridgeway, V. A., Soulsby, J. M., & Lau, M. A. (2000) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.68.4.615 · Cited by 3,236
Subgenual prefrontal cortex abnormalities in mood disorders
Drevets, W. C., Price, J. L., Simpson, J. R., Todd, R. D., Reich, T., Vannier, M., & Raichle, M. E. (1997) · Nature · doi:10.1038/386824a0 · Cited by 2,693
Mayberg, H. S., Liotti, M., Brannan, S. K., McGinnis, S., Mahurin, R. K., Jerabek, P. A., Silva, J. A., Tekell, J. L., Martin, C. C., Lancaster, J. L., et al. (1999) · American Journal of Psychiatry · doi:10.1176/ajp.156.5.675 · Cited by 2,416
Self-citationSubcortical and cortical brain activity during the feeling of self-generated emotions
Damasio, A. R., Grabowski, T. J., Bechara, A., Damasio, H., Ponto, L. L. B., Parvizi, J., & Hichwa, R. D. (2000) · Nature Neuroscience · doi:10.1038/79871 · Cited by 2,117
A three-dimensional statistical analysis for CBF activation studies in human brain
Worsley, K. J., Evans, A. C., Marrett, S., & Neelin, P. (1992) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1992.127 · Cited by 2,036
Rapid Automated Algorithm for Aligning and Reslicing PET Images
Woods, R. P., Cherry, S. R., & Mazziotta, J. C. (1992) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199207000-00024 · Cited by 1,901
A Suggestion for Using Powerful and Informative Tests of Normality
D’Agostino, R. B., Belanger, A. J., & D’Agostino, R. B. (1990) · The American Statistician · doi:10.1080/00031305.1990.10475751 · Cited by 1,809
A Suggestion for Using Powerful and Informative Tests of Normality
D'agostino, R. B., Belanger, A., & D'agostino, R. B. (1990) · The American Statistician · doi:10.2307/2684359 · Cited by 1,809
Glial reduction in the subgenual prefrontal cortex in mood disorders
Öngür, D., Drevets, W. C., & Price, J. L. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.22.13290 · Cited by 1,525
Cited by
Sorted by citations
Greicius, M. D., Flores, B. H., Menon, V., Glover, G. H., Solvason, H. B., Kenna, H., Reiss, A. L., & Schatzberg, A. F. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.09.020 · Cited by 2,214
Neural mechanisms of the cognitive model of depression.
Disner, S. G., Beevers, C. G., Haigh, E. A. P., & Beck, A. T. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3027 · Cited by 1,718
Neurocircuitry of Mood Disorders
Price, J. L., & Drevets, W. C. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.104 · Cited by 1,606
Mayberg, H. S. (2003) · British Medical Bulletin · doi:10.1093/bmb/65.1.193 · Cited by 1,166
Self-citationThe subgenual anterior cingulate cortex in mood disorders
Drevets, W. C., Savitz, J., & Trimble, M. (2008) · CNS Spectrums · doi:10.1017/s1092852900013754 · Cited by 1,109
Metadata
- Authors
- Liotti, M., Mayberg, H. S., McGinnis, S., Brannan, S. L., & Jerabek, P.
- Affiliations
- University of Nottingham (GB)
- Venue
- American Journal of Psychiatry
- Published
- 2002-11-01
- Volume
- 159
- Issue
- 11
- Pages
- 1830-1840
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- OpenAlex
- W2002611894
- Cited by
- 331
- References
- 56
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 5 · 2023: 1 · 2022: 6 · 2021: 4 · 2020: 5 · 2019: 4 · 2018: 7 · 2017: 13 · 2016: 6 · 2015: 17 · 2014: 17 · 2013: 13 · 2012: 24
- FWCI
- 11.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Padua Research Archive (University of Padova) (submittedVersion)
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- major depressive disorder, regional cerebral blood flow, medial orbitofrontal cortex, pregenual anterior cingulate cortex, subgenual anterior cingulate cortex, prefrontal cortex, relapse vulnerability, neural correlates of depression
- MeSH terms
- Adult, Affect, Antidepressive Agents, Brain, Brain Mapping, Depressive Disorder, Major, Major Depressive Disorder, Female, Humans, Middle Aged, Neural Pathways, Oxygen Radioisotopes, Radionuclide Imaging, Recurrence, Reference Values, Regional Blood Flow, Risk
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
