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P2‐389: NEAR‐INFRARED SPECTROSCOPY IN THE DIAGNOSIS OF MILD COGNITIVE IMPAIRMENT AND ALZHEIMER'S DISEASE
Author(s) -
Zuber Sarah,
Bittner Daniel,
Kopitzki Klaus
Publication year - 2018
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2018.06.1080
Subject(s) - dementia , cognitive impairment , audiology , neuroimaging , psychology , resting state fmri , mini–mental state examination , alzheimer's disease , medicine , cognitive decline , demographics , disease , cardiology , neuroscience , demography , sociology
Background:Several studies of quantitative susceptibility mapping (QSM) have reported increased magnetic susceptibilities in the brain of Alzheimer’s disease (AD) patients, which reflect pathological iron accumulation in senile plaques. However, QSM analysis of the brain surface is typically difficult because of the artifact from large susceptibility differences and signal void of the bone and air. The present study compared conventional QSM analysis and our newly developed method of brain surface correction, in AD patients and cognitively normal (CN) subjects.Methods:Eleven AD patients and 40 CN subjects were included in this study. Magnetic resonance imaging was performed using a 3-tesla scanner. QSM images were created using a conventional and novel method of brain surface correction. The conventional method was implemented by regularization enabled sophisticated harmonic artifact reduction for phase data (RESHARP). Moreover, the novel method was implemented by constrained RESHARP with a brain-surface background field calculated by local polynomial approximation. Region of interest analysis was performed with an automated anatomical labeling template for 120 regions. Relative susceptibility values to the frontal white matter were compared between the AD and CN groups with analysis of covariance, inwhich agewas used for covariance.Results: In the conventional method, significant increases were observed in susceptibility in AD patients compared with that in CN subjects in only five regions (Fig. 1), namely the right putamen (p 1⁄4 0.003), left lateral orbitofrontal cortex (p1⁄4 0.003), right transverse temporal gyrus (p1⁄4 0.024), right amygdala (p1⁄4 0.028), and left putamen (p1⁄4 0.042). Contrastingly, 21 regions (Fig. 2) showed significant increases in the susceptibility in AD patients with the novel method, including the left anterior orbitofrontal cortex (p1⁄4 0.002), left lateral orbitofrontal cortex (p 1⁄4 0.004), left inferior occipital gyrus (p 1⁄4 0.007), right parahippocampal gyrus (p 1⁄4 0.015), and right medial orbital gyrus (p 1⁄4 0.017). Conclusions:Using the newly developed QSM analysis method, more regions show a significantly higher susceptibility in AD patients. Thus, this method may facilitate an early diagnosis of AD and other neurodegenerative diseases.