scholarly journals Quantification of Similar Neurodegeneration Across Geriatric Concussions and Alzheimer’s Disease

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 639-639
Author(s):  
Andrei Irimia ◽  
Kenneth Rostowsky

Abstract Geriatric mild traumatic brain injury (mTBI) is a risk factor for Alzheimer’s disease (AD), but few studies have studied how the neuroanatomic effects of these conditions can converge onto similar brain structure trajectories. Here we use magnetic resonance imaging to investigate similarities between mTBI and AD across both white and gray matter (WM and GM, respectively) using measures like fractional anisotropy (FA, a surrogate measure of WM integrity) and cortical thickness. We identify statistically significant similarities in neurodegeneration across mTBI (N = 33; age µ = 63 years (y), σ = 11 y) and AD (N = 66; age µ = 76 y, σ = 9 y) by testing for statistical equivalences of mean FA and cortical thickness. Both WM and GM are found to exhibit significant similarities in how mean FA and cortical thickness decrease, respectively, across mTBI and AD. For WM, the broadest spatial extent of statistical similarity between conditions, quantified as percentages of structures’ volumes, is found within the superior fronto-occipital fasciculus (left (L): 91%, p < 0.05; right (R): 95%, p < 0.05), and in the crura of the fornix (L: 65%, p < 0.05; R: 80%, p < 0.05). Across mTBI and AD, cortical thinning trajectories are most similar in the superior precentral sulcus (L: 91%, p < 0.05; R: 100%, p < 0.05), and anterior lateral sulcus (L: 75%, p < 0.05; R: 86%, p < 0.05). Future studies should leverage such findings to identify AD risk factors in mTBI patients.

2015 ◽  
Vol 12 (10) ◽  
pp. 1006-1011 ◽  
Author(s):  
Minori Yasue ◽  
Saiko Sugiura ◽  
Yasue Uchida ◽  
Hironao Otake ◽  
Masaaki Teranishi ◽  
...  

2019 ◽  
Author(s):  
Clemens Kruse ◽  
Britney Larson ◽  
Reagan Wilkinson ◽  
Roger Samson ◽  
Taylor Castillo

BACKGROUND Incidence of AD continues to increase, making it the most common cause of dementia and the sixth-leading cause of death in the United States. 2018 numbers are expected to double by 2030. OBJECTIVE We examined the benefits of utilizing technology to identify and detect Alzheimer’s disease in the diagnostic process. METHODS We searched PubMed and CINAHL using key terms and filters to identify 30 articles for review. We analyzed these articles and reported them in accordance with the PRISMA guidelines. RESULTS We identified 11 technologies used in the detection of Alzheimer’s disease: 66% of which used some form of MIR. Functional, structural, and 7T magnetic resonance imaging were all used with structural being the most prevalent. CONCLUSIONS MRI is the best form of current technology being used in the detection of Alzheimer’s disease. MRI is a noninvasive approach that provides highly accurate results in the diagnostic process of Alzheimer’s disease.


2020 ◽  
Vol 16 (S5) ◽  
Author(s):  
Alexa Haeger ◽  
Arthur Coste ◽  
Cécile Lerman‐Rabrait ◽  
Julien Lagarde ◽  
Jörg B. Schulz ◽  
...  

1991 ◽  
Vol 48 (5) ◽  
pp. 469-470 ◽  
Author(s):  
D. Leys ◽  
M. Steinling ◽  
J.-P. Pruvo ◽  
H. Petit ◽  
P. Scheltens ◽  
...  

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