Investigating neural markers of Alzheimer's disease in posttraumatic stress disorder using machine learning algorithms and magnetic resonance imaging

Results suggest that patients with PTSD with reduced GM volume in the right temporal regions (parahippocampal gyrus) experienced greater symptom severity and showed more AD-like brain activity. These results show potential for early identification of those who may be at an increased risk for future development of dementia.

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Publication Details

Journal
Frontiers in Neurology
Published
2024-11-07
DOI
https://doi.org/10.3389/fneur.2024.1470727
Citations
4
Primary Topic
Traumatic Brain Injury Research
Type
article
Field-Weighted Citation Impact
1.55

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article

Investigating neural markers of Alzheimer's disease in posttraumatic stress disorder using machine learning algorithms and magnetic resonance imaging

Lawrence Ryner, Ji Hyun Ko, Tiffany A. Kolesar, Natalie Wright et al.
4 citations
Frontiers in Neurology
Traumatic Brain Injury Research
1.55
article

Investigating neural markers of Alzheimer's disease in posttraumatic stress disorder using machine learning algorithms and magnetic resonance imaging

Lawrence Ryner, Ji Hyun Ko, Tiffany A. Kolesar, Natalie Wright, Sarah J. Chaulk, Iman Beheshti, Eun Hyung Choi, Ronak Patel, Gabriella Yakemow
article en
4 citations

Abstract

Results suggest that patients with PTSD with reduced GM volume in the right temporal regions (parahippocampal gyrus) experienced greater symptom severity and showed more AD-like brain activity. These results show potential for early identification of those who may be at an increased risk for future development of dementia.

Frontiers in NeurologyVol. 15
Health Sciences Centre (CA), University of Manitoba (CA)
Workers Compensation Board of Manitoba, Natural Sciences and Engineering Research Council of Canada
Good health and well-being
Openalex Percentile: Top 15%
Traumatic Brain Injury Research
1.55
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