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- W2097628561 abstract "Mild Cognitive Impairment (MCI) is currently studied in the hopes that detection of underlying functional changes will lead to earlier diagnosis of Alzheimer's Disease (AD). Analysis of rs-fMRI BOLD signal fluctuation patterns will potentially represent the concealed functional disease changes that build up before structural changes, caused by atrophy and amyloid plaque buildup, become apparent. The goal in this study was to test a novel approach based on information theory, Transient Information (TI) values were calculated across 78 subcortical and cortical grey matter regions, which served as a measure of BOLD fluctuation changes in regions associated with cognitive decline. In this study, rs-fMRI scans of 15 cognitively normal (mean age ± std: 75 ± 6 yrs-old), 2 8 Early Mild Cognitive Impairment (EMCI; mean age ± std: 73 ± 7 yrs-old), and 17 MCI (mean age ± std: 71 ± 6 yrs-old) subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database were evaluated alongside clinical assessment, high resolution T1 images (anatomical labeling), and global brain amyloid estimates obtained from PET 18 F-AV-45 (Florbetapir) uptake values. An Analysis of Variance (ANOVA) was performed, accounting for age and APOE4 presence, to evaluate the relationship between brain amyloid content and functional complexity (TI) in cases of cognitive decline. Preliminary results show an overall higher complexity score (TI) in the affected regions of subjects reporting cognitive deficiencies (EMCI & MCI) than the healthy control subjects, without an effect from amyloid presence. As brain amyloid load increases, however, the complexity scores of the EMCI & MCI subjects decrease at a higher rate than those of control subjects. The regions significantly (CI 95%) affected by amyloid load include sections of the Temporal Lobe, Entorhinal Cortex, and Lateral Occipital Lobe, which have a known association with cognitive disorders, such as Mild Cognitive Impairment and Alzheimer's Disease. These preliminary findings support previous conclusions that cognitive decline, as associated with neurodegenerative diseases, are connected to a loss of complexity of brain function, specifically in regions affected in MCI and AD. This finding has implications for further use of the rs-fMRI BOLD signal complexity transient information metric for local detection of disease-related functional changes." @default.
- W2097628561 created "2016-06-24" @default.
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- W2097628561 date "2014-07-01" @default.
- W2097628561 modified "2023-10-16" @default.
- W2097628561 title "IC-P-225: VARIATION IN REGIONAL RESTING-STATE BOLD COMPLEXITY WITH BRAIN AMYLOID IN MILD COGNITIVE IMPAIRMENT" @default.
- W2097628561 doi "https://doi.org/10.1016/j.jalz.2014.05.233" @default.
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