The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Association of Frontal and Posterior Cortical Gray Matter Volume With Time to Alcohol Relapse: A Prospective Study
Open accessAbstract
OBJECTIVE: Alcoholism is associated with gray matter volume deficits in frontal and other brain regions. Whether persistent brain volume deficits in abstinence are predictive of subsequent time to alcohol relapse has not been established. The authors measured gray matter volumes in healthy volunteers and in a sample of treatment-engaged, alcohol-dependent patients after 1 month of abstinence and assessed whether smaller frontal gray matter volume was predictive of subsequent alcohol relapse outcomes. METHOD: Forty-five abstinent alcohol-dependent patients in treatment and 50 healthy comparison subjects were scanned once using high-resolution (T(1)-weighted) structural MRI, and voxel-based morphometry was used to assess regional brain volume differences between the groups. A prospective study design was used to assess alcohol relapse in the alcohol-dependent group for 90 days after discharge from 6 weeks of inpatient treatment. RESULTS: Significantly smaller gray matter volume in alcohol-dependent patients relative to comparison subjects was seen in three regions: the medial frontal cortex, the right lateral prefrontal cortex, and a posterior region surrounding the parietal-occipital sulcus. Smaller medial frontal and parietal-occipital gray matter volumes were each predictive of shorter time to any alcohol use and to heavy drinking relapse. CONCLUSIONS: These findings are the first to demonstrate that gray matter volume deficits in specific medial frontal and posterior parietal-occipital brain regions are predictive of an earlier return to alcohol use and relapse risk, suggesting a significant role for gray matter atrophy in poor clinical outcomes in alcoholism. Extent of gray matter volume deficits in these regions could serve as useful neural markers of relapse risk and alcoholism treatment outcome.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Such frontal cortex-derived executive function disorders in addiction have been linked to deficits in the ability of behavioural treatments to effect recovery.110”
From Neurobiology of addiction: a neurocircuitry analysis (2016) · cites this paper as [110]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
A fast diffeomorphic image registration algorithm
Ashburner, J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.007 · Cited by 8,122
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507
Measuring the thickness of the human cerebral cortex from magnetic resonance images
Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,995
Maldjian, J. A., Laurienti, P. J., Kraft, R., & Burdette, J. H. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00169-1 · Cited by 5,066
Sobell, L. C., & Sobell, M. B. (1992) · Measuring Alcohol Consumption · doi:10.1007/978-1-4612-0357-5_3 · Cited by 4,110
Research works printed but not linked: 1
- Fein G, 2002, Alcohol Clin Exp Res, 26, 558
Cited by
Sorted by citations
Neurobiology of addiction: a neurocircuitry analysis
Koob, G. F., & Volkow, N. D. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(16)00104-8 · Cited by 3,698
Mander, B. A., Winer, J. R., & Walker, M. P. (2017) · Neuron · doi:10.1016/j.neuron.2017.02.004 · Cited by 1,281
Prediction as a Humanitarian and Pragmatic Contribution from Human Cognitive Neuroscience
Gabrieli, J. D. E., Ghosh, S., & Whitfield, S. (2015) · Neuron · doi:10.1016/j.neuron.2014.10.047 · Cited by 547
New findings on biological factors predicting addiction relapse vulnerability
Sinha, R. (2011) · Current Psychiatry Reports · doi:10.1007/s11920-011-0224-0 · Cited by 401
Self-citationAlcohol use disorder relapse factors: A systematic review.
Sliedrecht, W., de Waart, R., Witkiewitz, K., & Roozen, H. G. (2019) · Psychiatry Research · doi:10.1016/j.psychres.2019.05.038 · Cited by 358
Metadata
- Authors
- Rando, K., Hong, K.-I., Bhagwagar, Z., Li, C.-S. R., Bergquist, K., Guarnaccia, J., & Sinha, R.
- Affiliations
- Yale University (US)
- From the Departments of Psychiatry and Neurology, Yale University School of Medicine; and the Yale Child Study Center, New Haven.
- Venue
- American Journal of Psychiatry
- Published
- 2011-02
- Volume
- 168
- Issue
- 2
- Pages
- 183-192
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- PMC
- PMC3668974
- OpenAlex
- W2167579043
- Semantic Scholar
- fe22c1d89798d6093ae0492c55dc75298cb50196
- Cited by
- 189
- References
- 62
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 8 · 2023: 9 · 2022: 10 · 2021: 16 · 2020: 15 · 2019: 13 · 2018: 16 · 2017: 16 · 2016: 20 · 2015: 16 · 2014: 9 · 2013: 15 · 2012: 15
- FWCI
- 7.94
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- American Journal of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5k23mh077914-02)
- National Institute on Alcohol Abuse and Alcoholism (R01AA013892)
- National Institute of Mental Health (K23-MH077914)
- National Institute on Drug Abuse (K02DA026990)
- National Institute of Dental and Craniofacial Research (UL1DE019586)
- National Center for Research Resources (UL1RR024139)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Health Sciences › Medicine › Clinical Neurology › Alcoholism and Thiamine Deficiency
- Keywords
- alcohol relapse, gray matter volume, alcoholism, abstinence, medial frontal cortex, prefrontal cortex, gray matter atrophy, relapse risk prediction, neural markers, treatment outcomes
- MeSH terms
- Adolescent, Adult, Alcoholism, Brain Mapping, Female, Frontal Lobe, Gyrus Cinguli, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Occipital Lobe, Organ Size, Parietal Lobe, Prospective Studies, Recurrence, Reference Values, Temperance, 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.
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