The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Combined analysis of grey matter voxel-based morphometry and white matter tract-based spatial statistics in late-life bipolar disorder
Open accessAbstract
Background: Previous magnetic resonance imaging (MRI) studies in young patients with bipolar disorder indicated the presence of grey matter concentration changes as well as microstructural alterations in white matter in various neocortical areas and the corpus callosum. Whether these structural changes are also present in elderly patients with bipolar disorder with long-lasting clinical evolution remains unclear. Methods: We performed a prospective MRI study of consecutive elderly, euthymic patients with bipolar disorder and healthy, elderly controls. We conducted a voxel-based morphometry (VBM) analysis and a tract-based spatial statistics (TBSS) analysis to assess fractional anisotropy and longitudinal, radial and mean diffusivity derived by diffusion tensor imaging (DTI). Results: We included 19 patients with bipolar disorder and 47 controls in our study. Fractional anisotropy was the most sensitive DTI marker and decreased significantly in the ventral part of the corpus callosum in patients with bipolar disorder. Longitudinal, radial and mean diffusivity showed no significant between-group differences. Grey matter concentration was reduced in patients with bipolar disorder in the right anterior insula, head of the caudate nucleus, nucleus accumbens, ventral putamen and frontal orbital cortex. Conversely, there was no grey matter concentration or fractional anisotropy increase in any brain region in patients with bipolar disorder compared with controls. Limitations: The major limitation of our study is the small number of patients with bipolar disorder. Conclusion: Our data document the concomitant presence of grey matter concentration decreases in the anterior limbic areas and the reduced fibre tract coherence in the corpus callosum of elderly patients with long-lasting bipolar disorder.
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.
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
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
A Rating Scale for Mania: Reliability, Validity and Sensitivity
Young, R. C., Biggs, J. T., Ziegler, V. E., & Meyer, D. A. (1978) · British Journal of Psychiatry · doi:10.1192/bjp.133.5.429 · Cited by 8,744
Sheikh (1986) · doi:10.1300/j018v05n01_09 · Cited by 7,236
SMITH, S., & NICHOLS, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.061 · Cited by 5,250
Diffusion tensor imaging: Concepts and applications
Le Bihan, D., Mangin, J., Poupon, C., Clark, C. A., Pappata, S., Molko, N., & Chabriat, H. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1076 · Cited by 3,547
Welsh, K. A., Butters, N., Mohs, R. C., Beekly, D., Edland, S., Fillenbaum, G., & Heyman, A. (1994) · Neurology · doi:10.1212/wnl.44.4.609 · Cited by 951
The functional neuroanatomy of bipolar disorder: a review of neuroimaging findings
Strakowski, S. M., DelBello, M. P., & Adler, C. M. (2005) · Molecular Psychiatry · doi:10.1038/sj.mp.4001585 · Cited by 818
The neuropsychology and neuroanatomy of bipolar affective disorder: a critical review
Bearden, C. E., Hoffman, K. M., & Cannon, T. D. (2001) · Bipolar Disorders · doi:10.1034/j.1399-5618.2001.030302.x · Cited by 565
Pavuluri, M. N., Yang, S., Kamineni, K., Passarotti, A. M., Srinivasan, G., Harral, E. M., Sweeney, J. A., & Zhou, X. J. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.10.015 · Cited by 246
Cortical abnormalities in bipolar disorder investigated with MRI and voxel-based morphometry
Nugent, A. C., Milham, M. P., Bain, E. E., Mah, L., Cannon, D. M., Marrett, S., Zarate, C. A., Pine, D. S., Price, J. L., & Drevets, W. C. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.029 · Cited by 206
Cited by
Phillips, M. L., & Swartz, H. A. (2014) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.13081008 · Cited by 636
Effects of medication on neuroimaging findings in bipolar disorder: an updated review
Hafeman, D. M., Chang, K. D., Garrett, A. S., Sanders, E. M., & Phillips, M. L. (2012) · Bipolar Disorders · doi:10.1111/j.1399-5618.2012.01023.x · Cited by 379
Sajatovic, M., Strejilevich, S. A., Gildengers, A. G., Dols, A., Al Jurdi, R. K., Forester, B. P., Kessing, L. V., Beyer, J., Manes, F., Rej, S., et al. (2015) · Bipolar Disorders · doi:10.1111/bdi.12331 · Cited by 309
Sui, J., Huster, R., Yu, Q., Segall, J. M., & Calhoun, V. D. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.044 · Cited by 162
Janiri, D., Sani, G., Rossi, P. D., Piras, F., Iorio, M., Banaj, N., Giuseppin, G., Spinazzola, E., Maggiora, M., Ambrosi, E., et al. (2017) · Bipolar Disorders · doi:10.1111/bdi.12516 · Cited by 99
Metadata
- Authors
- Haller, S., Xekardaki, A., Delaloye, C., Canuto, A., Lövblad, K. O., Gold, G., & Giannakopoulos, P.
- Venue
- Journal of Psychiatry and Neuroscience
- Publisher
- Canadian Science Publishing
- Published
- 2011-11
- Volume
- 36
- Issue
- 6
- Pages
- 391-401
- ISSN
- 1180-4882 (ISSN-L)
- 1488-2434
- OpenAlex
- W2162250733
- Cited by
- 165
- References
- 10
- FWCI
- 7.88
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Combined analysis of grey matter voxel-based morphometry and white matter tract-based spatial statistics in late-life bipolar disorder. https://app.cochat.ai/papers/10.1503/jpn.100140
- The paper
- Haller, S., Xekardaki, A., Delaloye, C., Canuto, A., Lövblad, K. O., Gold, G., & Giannakopoulos, P. (2011). Combined analysis of grey matter voxel-based morphometry and white matter tract-based spatial statistics in late-life bipolar disorder. Journal of Psychiatry and Neuroscience. https://doi.org/10.1503/jpn.100140
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
