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Cited by 245

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Treatment of Post-Concussion Syndrome Following Mild Head Injury

Mittenberg, Wiley, Canyock, Elizabeth M., Condit, Daniel, Patton, Christine·2001·Journal of Clinical and Experimental Neuropsychology

Abstract

Approximately 38% of patients who sustain head trauma characterized by a brief disturbance of consciousness and clinically unremarkable neuroradiologic findings meet International Classification of Diseases 10th edition (ICD-10) diagnostic criteria for postconcussion syndrome (PCS). Physicians treat a majority of cases with nonsteroidal analgesics or antidepressants, and refer about 40% for psychological consultation. Psychological treatment typically involves education, reassurance, and reattribution of symptoms to benign causes. A review of controlled treatment outcome studies conducted over the past 2 decades in Scandinavia, Great Britain, Canada, and the United States suggests that early single session treatment can prevent the syndrome as effectively as traditional outpatient therapy. Several standardized, empirically supported treatment manuals are available.

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Metadata

Authors
Mittenberg, W., Canyock, E. M., Condit, D., & Patton, C.
Venue
Journal of Clinical and Experimental Neuropsychology
Published
2001-12
Volume
23
Issue
6
Pages
829-836
ISSN
  • 0165-0475 (ISSN-L)
  • 1380-3395
  • 1744-411X
OpenAlex
W1978634621
Cited by
245
References
0
FWCI
1.66
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Treatment of Post-Concussion Syndrome Following Mild Head Injury. https://app.cochat.ai/papers/10.1076/jcen.23.6.829.1022
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Mittenberg, W., Canyock, E. M., Condit, D., & Patton, C. (2001). Treatment of Post-Concussion Syndrome Following Mild Head Injury. Journal of Clinical and Experimental Neuropsychology. https://doi.org/10.1076/jcen.23.6.829.1022

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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.