The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Grey matter volume in a large cohort of MS patients: relation to MRI parameters and disability
Abstract
Background: Although grey matter damage in multiple sclerosis is currently recognized, determinants of grey matter volume and its relationship with disability are not yet clear. Objectives: The objectives of the study were to measure grey and white matter volumes across different disease phenotypes; identify MRI parameters associated with grey matter volume; and study grey and white matter volume as explanatory variables for clinical impairment. Methods: This is a cross-sectional study in which MRI data of 95 clinically isolated syndrome, 657 relapsing–remitting, 125 secondary-progressive and 50 primary-progressive multiple sclerosis patients from three centres were acquired. Grey and white matter volumes were determined, together with T2 and T1 lesion volumes. Physical disability was assessed with the Expanded Disability Status Scale, cognitive impairment with the Paced Auditory Serial Addition Task. Data were analysed using multiple regression. Results: Grey matter volume was lower in relapsing–remitting patients (mean [SD]: 0.80 [0.05] L) than in clinically isolated syndrome patients (0.82 [0.05] L), and even greater relative atrophy was found in secondary-progressive patients (0.77 [0.05] L). In contrast, white matter volume in secondary-progressive patients was comparable to that in relapsing–remitting patients. Grey matter volume was the strongest independent predictor of physical disability and cognitive impairment, and was associated with both T2 and T1 lesion volume. Conclusions: Our findings show that grey matter volume is lower in secondary-progressive than in relapsing–remitting disease. Grey matter volume explained physical and cognitive impairment better than white matter volume, and is itself associated with T2 and T1 lesion volume.
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Citations
Cites
Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS)
Kurtzke, J. F. (1983) · Neurology · doi:10.1212/wnl.33.11.1444 · Cited by 15,011
Paced Auditory Serial-Addition Task: A Measure of Recovery from Concussion
Gronwall, D. M. A. (1977) · Perceptual and Motor Skills · doi:10.2466/pms.1977.44.2.367 · Cited by 2,395
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
Peterson, J. W., Bö, L., Mörk, S., Chang, A., & Trapp, B. D. (2001) · Annals of Neurology · doi:10.1002/ana.1123 · Cited by 1,403 · cited 1×
“This has changed, however, with the introduction of new immunohistochemical staining procedures, which showed that grey matter (GM) demyelination and axonal loss were frequent and abundant.(1,2) Clinically, cortical damage is of importance because MRI-visible focal demyelination in the WM cannot (1)VU University Medic…”
BackgroundSubpial Demyelination in the Cerebral Cortex of Multiple Sclerosis Patients
Bø, L., Vedeler, C. A., Nyland, H. I., Trapp, B. D., & Mørk, S. J. (2003) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/62.7.723 · Cited by 757
Cited by
Exploring the origins of grey matter damage in multiple sclerosis
Calabrese, M., Magliozzi, R., Ciccarelli, O., Geurts, J. J. G., Reynolds, R., & Martin, R. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3900 · Cited by 414
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
Trapp, B. D., Vignos, M., Dudman, J., Chang, A., Fisher, E., Staugaitis, S. M., Battapady, H., Mork, S., Ontaneda, D., Jones, S. E., et al. (2018) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30245-x · Cited by 146
Misin, O., Matilainen, M., Nylund, M., Honkonen, E., Rissanen, E., Sucksdorff, M., & Airas, L. (2022) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000001182 · Cited by 24
Nayak, S., Wagshul, M. E., Foley, F. W., Motl, R. W., & Holtzer, R. (2025) · Journal of Neurology · doi:10.1007/s00415-025-12955-y · Cited by 6
Metadata
- Authors
- Roosendaal, S. D., Bendfeldt, K., Vrenken, H., Polman, C. H., Borgwardt, S., Radue, E. W., Kappos, L., Pelletier, D., Hauser, S. L., Matthews, P. M., Barkhof, F., & Geurts, J. J.
- Venue
- Multiple Sclerosis Journal
- Publisher
- SAGE Publications
- Published
- 2011-05-17
- Volume
- 17
- Issue
- 9
- Pages
- 1098-1106
- ISSN
- 1352-4585 (ISSN-L)
- 1477-0970
- OpenAlex
- W2106649915
- Cited by
- 187
- References
- 5
- FWCI
- 10.80
- Type
- journal article
- Language
- en
- Open access
- closed
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- Roosendaal, S. D., Bendfeldt, K., Vrenken, H., Polman, C. H., Borgwardt, S., Radue, E. W., Kappos, L., Pelletier, D., Hauser, S. L., Matthews, P. M., Barkhof, F., & Geurts, J. J. (2011). Grey matter volume in a large cohort of MS patients: relation to MRI parameters and disability. Multiple Sclerosis Journal. https://doi.org/10.1177/1352458511404916
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