Dr. Md Asadullah Turja Profile

Dr. Md Asadullah Turja

at Univ of North Carolina at Chapel Hill

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Proceedings Article | 15 February 2021 Presentation + Paper

Extra axial cerebrospinal fluid volume and a diagnosis of Alzheimer's disease

Jash Mirani, Nathaniel Fulmer, Md Asadullah Turja, Guorong Wu, Martin Styner

Proceedings Volume 11600, 1160004 (2021) https://doi.org/10.1117/12.2580827

KEYWORDS: Alzheimer's disease, Cognitive modeling, Image segmentation, Neuroimaging, Brain, Magnetic resonance imaging, Image filtering, Data analysis

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The Alzheimer’s Disease Neuroimaging Initiative (ADNI) seeks to detect Alzheimer’s Disease (AD) as early as possible in the preclinical phase of AD through the use of Neuroimaging based biomarkers. Earlier research found that the subarachnoid space is impacted in Alzheimer’s Disease. This investigation seeks to establish a cross-sectional or longitudinal relationship between extra-axial cerebrospinal fluid (EACSF) volume and an AD diagnosis, as EACSF has been overlooked thus far. An automated approach was employed to compute the segmentation of MRI images in AutoEACSF; subsequent manual quality control filtered for adequate brain mask and EACSF segmentations. Crosssectional data analysis compared EACSF volumes for the cognitively normal (CN) and AD diagnosis and found no significant difference (p = 0.7827). In the cross-sectional general linear model, an association was found between EACSF and ventricle volume (p = 0.0005), and entorhinal volume (p = 0.040). Fusiform volume, mid temporal volume, and hippocampal volume were deemed non-significant contributors to the model. The longitudinal model included subjects with more than 2 successful scans and excluded those with implausible negative changes in EACSF volume across time. This analysis included two additional categories: mild cognitive impairment (MCI) and patients who changed diagnosis (change). Between the AD, CN, MCI, and change groups, there was a statistically significant difference between stable MCI and change subjects longitudinally after age and sex were added to the model; no difference was found between any combination of the other groups. Overall, we found minimal evidence that EACSF relates cross-sectionally or longitudinally to AD or progression.

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