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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