The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Cerebral White Matter: Neuroanatomy, Clinical Neurology, and Neurobehavioral Correlates
Open accessAbstract
Lesions of the cerebral white matter (WM) result in focal neurobehavioral syndromes, neuropsychiatric phenomena, and dementia. The cerebral WM contains fiber pathways that convey axons linking cerebral cortical areas with each other and with subcortical structures, facilitating the distributed neural circuits that subserve sensorimotor function, intellect, and emotion. Recent neuroanatomical investigations reveal that these neural circuits are topographically linked by five groupings of fiber tracts emanating from every neocortical area: (1) cortico‐cortical association fibers; (2) corticostriatal fibers; (3) commissural fibers; and cortico‐subcortical pathways to (4) thalamus and (5) pontocerebellar system, brain stem, and/or spinal cord. Lesions of association fibers prevent communication between cortical areas engaged in different domains of behavior. Lesions of subcortical structures or projection/striatal fibers disrupt the contribution of subcortical nodes to behavior. Disconnection syndromes thus result from lesions of the cerebral cortex, subcortical structures, and WM tracts that link the nodes that make up the distributed circuits. The nature and the severity of the clinical manifestations of WM lesions are determined, in large part, by the location of the pathology: discrete neurological and neuropsychiatric symptoms result from focal WM lesions, whereas cognitive impairment across multiple domains—WM dementia—occurs in the setting of diffuse WM disease. We present a detailed review of the conditions affecting WM that produce these neurobehavioral syndromes, and consider the pathophysiology, clinical effects, and broad significance of the effects of aging and vascular compromise on cerebral WM, in an attempt to help further the understanding, diagnosis, and treatment of these disorders.
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
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Neurofibrillary tangles but not senile plaques parallel duration and severity of Alzheimer's disease
Arriagada, P. V., Growdon, J. H., Hedley-Whyte, E. T., & Hyman, B. T. (1992) · Neurology · doi:10.1212/wnl.42.3.631 · Cited by 2,668
A cortical network for directed attention and unilateral neglect
Mesulam, M. ‐. (1981) · Annals of Neurology · doi:10.1002/ana.410100402 · Cited by 2,498
Silent Brain Infarcts and the Risk of Dementia and Cognitive Decline
Vermeer, S. E., Prins, N. D., den Heijer, T., Hofman, A., Koudstaal, P. J., & Breteler, M. M. B. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022066 · Cited by 2,313
Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn059 · Cited by 2,175
Notch3 mutations in CADASIL, a hereditary adult-onset condition causing stroke and dementia
Joutel, A., Corpechot, C., Ducros, A., Vahedi, K., Chabriat, H., Mouton, P., Alamowitch, S., Domenga, V., Cécillion, M., Maréchal, E., et al. (1996) · Nature · doi:10.1038/383707a0 · Cited by 2,068
Mixed brain pathologies account for most dementia cases in community-dwelling older persons
Schneider, J. A., Arvanitakis, Z., Bang, W., & Bennett, D. A. (2007) · Neurology · doi:10.1212/01.wnl.0000271090.28148.24 · Cited by 1,992
Schmahmann, J. D., & Pandya, D. N. (2006) · doi:10.1093/acprof:oso/9780195104233.001.0001 · Cited by 1,157
Self-citationWhite Matter Changes in Schizophrenia: Evidence for Myelin-Related Dysfunction
Davis, K. L., Stewart, D. G., Friedman, J. I., Buchsbaum, M., Harvey, P. D., Hof, P. R., Buxbaum, J., & Haroutunian, V. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.5.443 · Cited by 793
Alzheimer disease and cerebrovascular pathology: an update
Jellinger, K. A. (2002) · Journal of Neural Transmission · doi:10.1007/s007020200068 · Cited by 680
Cited by
Dissecting the uncinate fasciculus: disorders, controversies and a hypothesis.
Von Der Heide, R. J., Skipper, L. M., Klobusicky, E., & Olson, I. R. (2013) · Brain · doi:10.1093/brain/awt094 · Cited by 829
Childhood Adversity and Neural Development: A Systematic Review
McLaughlin, K. A., Weissman, D., & Bitrán, D. (2019) · Annual Review of Developmental Psychology · doi:10.1146/annurev-devpsych-121318-084950 · Cited by 892
Beyond the arcuate fasciculus: consensus and controversy in the connectional anatomy of language
Dick, A. S., & Tremblay, P. (2012) · Brain · doi:10.1093/brain/aws222 · Cited by 470
White matter pathology isolates the hippocampal formation in Alzheimer's disease
Salat, D. H., Tuch, D. S., van der Kouwe, A. J. W., Greve, D. N., Pappu, V., Lee, S. Y., Hevelone, N. D., Zaleta, A. K., Growdon, J. H., Corkin, S., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.03.013 · Cited by 279
Eng, G. K., Sim, K., & Chen, S.-H. A. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.03.002 · Cited by 148
Metadata
- Authors
- Schmahmann, J. D., Smith, E. E., Eichler, F. S., & Filley, C. M.
- Venue
- Annals of the New York Academy of Sciences
- Publisher
- Wiley
- Published
- 2008-10
- Volume
- 1142
- Issue
- 1
- Pages
- 266-309
- ISSN
- 0077-8923 (ISSN-L)
- 1749-6632
- OpenAlex
- W1529598366
- Cited by
- 486
- References
- 34
- FWCI
- 13.38
- Type
- journal article
- Language
- en
- Open access
- green
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: Cerebral White Matter: Neuroanatomy, Clinical Neurology, and Neurobehavioral Correlates. https://app.cochat.ai/papers/10.1196/annals.1444.017
- The paper
- Schmahmann, J. D., Smith, E. E., Eichler, F. S., & Filley, C. M. (2008). Cerebral White Matter: Neuroanatomy, Clinical Neurology, and Neurobehavioral Correlates. Annals of the New York Academy of Sciences. https://doi.org/10.1196/annals.1444.017
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.