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Cited by 274

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A Review of the Neuropathology of Human Spinal Cord Injury with Emphasis on Special Features

Kakulas, A. Byron·1999·The Journal of Spinal Cord Medicine

Abstract

A judicious understanding of the basic neuropathology of spinal cord injuries (SCI) is essential knowledge for the clinician responsible for SCI management. An appreciation of the nature of human SCI is also necessary for the neuroscientist searching for a cure. The neuropathology of human SCI described here is derived from the study of 564 cases of spinal cord trauma held in a tissue bank and database of the Department of Neuropathology, Royal Perth Hospital in Australia. The main features of SCI neuropathology are reviewed and special aspects such as early axonal lesions, traumatic demyelination-remyelination, and quantification of white matter tracts are reported in more detail. One of the remarkable outcomes of this work is the finding that the majority of SCI patients have a proportion of spinal cord white matter maintained across the level of the lesion, an observation that has important therapeutic implications.

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Crossref · 10.1080/10790268.1999.11719557

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Metadata

Authors
Kakulas, A. B.
Venue
The Journal of Spinal Cord Medicine
Published
1999-01
Volume
22
Issue
2
Pages
119-124
ISSN
  • 1079-0268 (ISSN-L)
  • 2045-7723
OpenAlex
W1865973687
Cited by
274
References
0
FWCI
3.56
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Review of the Neuropathology of Human Spinal Cord Injury with Emphasis on Special Features. https://app.cochat.ai/papers/10.1080/10790268.1999.11719557
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Kakulas, A. B. (1999). A Review of the Neuropathology of Human Spinal Cord Injury with Emphasis on Special Features. The Journal of Spinal Cord Medicine. https://doi.org/10.1080/10790268.1999.11719557

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.