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).

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.