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Abstract #3923

Brain Activity Mapping Based on Low-Frequency Fluctuations of the Resting-State BOLD Signal: Comparing Healthy Elderly to Mild Cognitive Impairment and Alzheimer’s Disease

Seyyed M. H. Haddad1, Christopher J. M. Scott2, Stephen R. Arnott2, Miracle Ozzoude2, Stephen C. Strother2, Sandra E. Black2, Michel J. Borrie1, Elizabeth Finger1, Maria C. Tartaglia2, Donna Kwan3, Derek Beaton2, Sean Symons4, Andrea Soddu1, Manuel Montero-Odasso1, and Robert Bartha1

1Western University, London, ON, Canada, 2University of Toronto, Toronto, ON, Canada, 3Ontario Brain Institute, Toronto, ON, Canada, 4Sunnybrook Health Sciences Centre, Toronto, ON, Canada

Our group recently introduced a neuronal activity (NA) metric based on a texture feature of the low-frequency fluctuations within the resting-state BOLD signal. This NA measure was associated with decreased glucose metabolism in mild Alzheimer’s disease (AD) measured by FDG-PET. To improve the sensitivity of this NA metric we introduce two variations achieved by rigorously regulating (using cross-correlation and cross-covariance) the amplitude of the BOLD signal oscillations derived from the constituent neuronal components. These novel metrics were evaluated in people with mild cognitive impairment and AD (N=14) demonstrating lower neuronal activity compared to healthy elderly (N=14).

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