Post-traumatic cognitive decline and neurodegenerative disease: a narrative review and proposed framework for etiologic assessment.
- 1Department of Neurosurgery, Eulji University Hospital, Eulji University College of Medicine, Daejeon, Republic of Korea.
Abstract
Background
When a patient with a history of traumatic brain injury (TBI) develops progressive cognitive decline months to years after injury, clinicians must consider injury sequelae, an independent neurodegenerative disease, or both. Existing diagnostic frameworks each address a different aspect of this question, and none was constructed to apportion contribution between them. The distinction matters for management because AD-directed therapy should be considered only after biological Alzheimer's disease (AD) has been established, followed by separate assessment of treatment eligibility and safety.Objective
To synthesise evidence on cognitive change after TBI and the clinical, biomarker, and neuroimaging information available when delayed decline is evaluated, and to propose a structure for that evaluation.Methods
Structured narrative review. A documented de novo PubMed search was conducted on 27 July 2026, covering January 2015 to the search date, using two complementary strategies: one addressing cognitive, functional and neurodegenerative outcomes after TBI, and one addressing biomarker and neuroimaging evidence with longitudinal and prognostic terms. Diagnostic and research criteria, neuropathological and mechanistic references, comparator biomarker studies, and treatment trials were identified through targeted retrieval and reference checking. Exhaustive title and abstract screening, dual-reviewer study selection, formal risk-of-bias assessment, and quantitative synthesis were not undertaken.Results
Four patterns of cognitive change after TBI are proposed as unvalidated longitudinal clinical heuristics rather than validated diagnostic categories, and no prevalence is estimated for any of them. Delayed progressive deterioration following an initial plateau presents the greatest diagnostic difficulty. Blood biomarkers can support evaluation for coexisting biological AD, but neurofilament light and glial fibrillary acidic protein kinetics vary with injury severity and sampling window, and no validated biomarker profile identifies injury-driven neurodegeneration in an individual patient. Tau-related pathology, impaired protein clearance, and chronic neuroinflammatory activity are plausible contributors not shown to form a unified causal cascade.Conclusion
Current evidence supports structured longitudinal reassessment and evaluation of competing explanations rather than etiological classification by biomarker pattern. A proposed assessment pathway, and a framework for stating what can and cannot be concluded in an individual patient, are offered as testable structures, including for medicolegal settings in which causal attribution is requested.
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BibTeX
@article{park2026posttraumatic,
title = {{Post-traumatic cognitive decline and neurodegenerative disease: a narrative review and proposed framework for etiologic assessment.}},
author = {Jae Jin Park and Seung Young Chung and Seong Min Kim and Hyun Dong Yoo},
journal = {Frontiers in neurology},
year = {2026},
month = oct,
doi = {10.3389/fneur.2026.1844523},
url = {https://europepmc.org/article/MED/42903416},
note = {CC BY},
}
RIS
TY - JOUR
TI - Post-traumatic cognitive decline and neurodegenerative disease: a narrative review and proposed framework for etiologic assessment.
AU - Jae Jin Park
AU - Seung Young Chung
AU - Seong Min Kim
AU - Hyun Dong Yoo
PY - 2026
DA - 2026/10/06
JO - Frontiers in neurology
DO - 10.3389/fneur.2026.1844523
UR - https://europepmc.org/article/MED/42903416
AB - Background When a patient with a history of traumatic brain injury (TBI) develops progressive cognitive decline months to years after injury, clinicians must consider injury sequelae, an independent neurodegenerative disease, or both. Existing diagnostic frameworks each address a different aspect of this question, and none was constructed to apportion contribution between them. The distinction matters for management because AD-directed therapy should be considered only after biological Alzheimer's disease (AD) has been established, followed by separate assessment of treatment eligibility and safety.Objective To synthesise evidence on cognitive change after TBI and the clinical, biomarker, and neuroimaging information available when delayed decline is evaluated, and to propose a structure for that evaluation.Methods Structured narrative review. A documented de novo PubMed search was conducted on 27 July 2026, covering January 2015 to the search date, using two complementary strategies: one addressing cognitive, functional and neurodegenerative outcomes after TBI, and one addressing biomarker and neuroimaging evidence with longitudinal and prognostic terms. Diagnostic and research criteria, neuropathological and mechanistic references, comparator biomarker studies, and treatment trials were identified through targeted retrieval and reference checking. Exhaustive title and abstract screening, dual-reviewer study selection, formal risk-of-bias assessment, and quantitative synthesis were not undertaken.Results Four patterns of cognitive change after TBI are proposed as unvalidated longitudinal clinical heuristics rather than validated diagnostic categories, and no prevalence is estimated for any of them. Delayed progressive deterioration following an initial plateau presents the greatest diagnostic difficulty. Blood biomarkers can support evaluation for coexisting biological AD, but neurofilament light and glial fibrillary acidic protein kinetics vary with injury severity and sampling window, and no validated biomarker profile identifies injury-driven neurodegeneration in an individual patient. Tau-related pathology, impaired protein clearance, and chronic neuroinflammatory activity are plausible contributors not shown to form a unified causal cascade.Conclusion Current evidence supports structured longitudinal reassessment and evaluation of competing explanations rather than etiological classification by biomarker pattern. A proposed assessment pathway, and a framework for stating what can and cannot be concluded in an individual patient, are offered as testable structures, including for medicolegal settings in which causal attribution is requested.
SN - 1664-2295
ER -