The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Cortical Lesions and Atrophy Associated With Cognitive Impairment in Relapsing-Remitting Multiple Sclerosis
Open accessAbstract
BACKGROUND: Neuropsychological deficits in patients with multiple sclerosis (MS) have been shown to be associated with the major pathological substrates of the disease, ie, inflammatory demyelination and neurodegeneration. Double inversion recovery sequences allow cortical lesions (CLs) to be detected in the brain of patients with MS. Modern postprocessing techniques allow cortical atrophy to be assessed reliably. OBJECTIVE: To investigate the contribution of cortical gray matter lesions and tissue loss to cognitive impairment in patients with relapsing-remitting MS. DESIGN: Cross-sectional survey. SETTING: Referral, hospital-based MS clinic. Patients Seventy patients with relapsing-remitting MS. MAIN OUTCOME MEASURES: Neuropsychological performance was tested using the Rao Brief Repeatable Battery of Neuropsychological Tests, version A. Patients who scored 2 SDs below the mean normative values on at least 1 test of the Rao Brief Repeatable Battery of Neuropsychological Tests, version A, were considered to be cognitively impaired. A composite cognitive score (the cognitive impairment index) was computed. T2 hyperintense white matter lesion volume, contrast-enhancing lesion number, CL number and volume, normalized brain volume, and normalized neocortical gray matter volume were also assessed. RESULTS: Twenty-four patients with relapsing-remitting MS (34.3%) were classified as cognitively impaired. T2 hyperintense white matter lesion volume and contrast-enhancing lesion number were not different between cognitively impaired and cognitively unimpaired patients. Cognitively impaired patients had a higher CL number (P = .01) and volume (P < .001) and decreased normalized brain volume (P = .02) and normalized neocortical gray matter volume (P = .002) when compared with cognitively unimpaired patients. Multivariate analysis revealed that age (beta = 0.228; P = .02), CL volume (beta = 0.452; P < .001), and normalized neocortical gray matter volume (beta = 0.349; P < .001) were independent predictors of the cognitive impairment index (r(2) = 0.55; F = 23.903; P < .001). CONCLUSION: The burden of CLs and tissue loss are among the major structural changes associated with cognitive impairment in relapsing-remitting MS.
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
Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria”
Polman, C. H., Reingold, S. C., Edan, G., Filippi, M., Hartung, H., Kappos, L., Lublin, F. D., Metz, L. M., McFarland, H. F., O'Connor, P. W., et al. (2005) · Annals of Neurology · doi:10.1002/ana.20703 · Cited by 5,017
Self-citationDefining the clinical course of multiple sclerosis: Results of an international survey
Lublin, F. D., Reingold, S. C., & National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis* (1996) · Neurology · doi:10.1212/wnl.46.4.907 · Cited by 3,686
Cognitive dysfunction in multiple sclerosis.: I. Frequency, patterns, and prediction
Rao, S. M., Leo, G. J., Bernardin, L., & Unverzagt, F. (1991) · Neurology · doi:10.1212/wnl.41.5.685 · Cited by 2,110
Cognitive impairment in multiple sclerosis
Chiaravalloti, N. D., & DeLuca, J. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70259-x · Cited by 2,088
Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis
Smith, S. M., Zhang, Y., Jenkinson, M., Chen, J., Matthews, P. M., Federico, A., & De Stefano, N. (2002) · NeuroImage · doi:10.1006/nimg.2002.1040 · Cited by 2,013
Magliozzi, R., Howell, O., Vora, A., Serafini, B., Nicholas, R., Puopolo, M., Reynolds, R., & Aloisi, F. (2006) · Brain · doi:10.1093/brain/awm038 · Cited by 1,443
Diagnostic criteria for multiple sclerosis
Poser, C. M., & Brinar, V. V. (2001) · Clinical Neurology and Neurosurgery · doi:10.1016/s0303-8467(00)00125-6 · Cited by 1,283
Adaptive fuzzy segmentation of magnetic resonance images
Pham, D. L., & Prince, J. L. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.802752 · Cited by 805
Cortical lesions in multiple sclerosis
Kidd, D., Barkhof, F., McConnell, R., Algra, P. R., Allen, I. V., & Revesz, T. (1999) · Brain · doi:10.1093/brain/122.1.17 · Cited by 766
Gray matter atrophy in multiple sclerosis: A longitudinal study
Fisher, E., Lee, J., Nakamura, K., & Rudick, R. A. (2008) · Annals of Neurology · doi:10.1002/ana.21436 · Cited by 670
Cited by
Clinical and imaging assessment of cognitive dysfunction in multiple sclerosis
Rocca, M. A., Amato, M. P., De Stefano, N., Enzinger, C., Geurts, J. J., Penner, I.-K., Rovira, A., Sumowski, J. F., Valsasina, P., & Filippi, M. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70250-9 · Cited by 557
Self-citationAssociation between pathological and MRI findings in multiple sclerosis
Filippi, M., Rocca, M. A., Barkhof, F., Brück, W., Chen, J. T., Comi, G., DeLuca, G., De Stefano, N., Erickson, B. J., Evangelou, N., et al. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70003-0 · Cited by 486
Self-citationCortical lesion load associates with progression of disability in multiple sclerosis
Calabrese, M., Poretto, V., Favaretto, A., Alessio, S., Bernardi, V., Romualdi, C., Rinaldi, F., Perini, P., & Gallo, P. (2012) · Brain · doi:10.1093/brain/aws246 · Cited by 329
Self-citationMeier, S., Willemse, E. A. J., Schaedelin, S., Oechtering, J., Lorscheider, J., Melie-Garcia, L., Cagol, A., Barakovic, M., Galbusera, R., Subramaniam, S., et al. (2023) · JAMA Neurology · doi:10.1001/jamaneurol.2022.5250 · Cited by 289
Neurodegeneration in multiple sclerosis and neuromyelitis optica
Kawachi, I., & Lassmann, H. (2017) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2016-313300 · Cited by 283
Metadata
- Authors
- Calabrese, M., Agosta, F., Rinaldi, F., Mattisi, I., Grossi, P., Favaretto, A., Atzori, M., Bernardi, V., Barachino, L., Rinaldi, L., Perini, P., Gallo, P., & Filippi, M.
- Venue
- Archives of Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2009-09-01
- Volume
- 66
- Issue
- 9
- Pages
- 1144-50
- ISSN
- 0003-9942 (ISSN-L)
- OpenAlex
- W2138779588
- Cited by
- 555
- References
- 44
- FWCI
- 23.97
- 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: Cortical Lesions and Atrophy Associated With Cognitive Impairment in Relapsing-Remitting Multiple Sclerosis. https://app.cochat.ai/papers/10.1001/archneurol.2009.174
- The paper
- Calabrese, M., Agosta, F., Rinaldi, F., Mattisi, I., Grossi, P., Favaretto, A., Atzori, M., Bernardi, V., Barachino, L., Rinaldi, L., Perini, P., Gallo, P., & Filippi, M. (2009). Cortical Lesions and Atrophy Associated With Cognitive Impairment in Relapsing-Remitting Multiple Sclerosis. Archives of Neurology. https://doi.org/10.1001/archneurol.2009.174
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.