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Abstract #3289

The Degree of Temporal Complexity in Resting State FMRI: A Potentially New Metric for Functional Studies in Alzheimers Disease.

Yinan Liu1, Karl Young2, Duygu Tosun2, Yu Zhang2, Norbert Schuff2

1San Francisco VA Medical Center, San Francisco, CA, United States; 2Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, United States

Resting-state fMRI has been an important tool to understand brain networks. However, the intrinsic properties of BOLD fluctuations have been rarely studied. In this preliminary study, we used transient information to compare the degree of complexity of the BOLD fluctuations between normal and Alzheimers disease subjects. Results exhibited significantly smaller degrees of complexity in AD than CN subjects in brain regions typically affected by disease. In contrast, AD and CN subjects had similar degrees of complexity in regions usually spared by disease. In conclusion, transient information could provide a new metric to study brain functions in healthy conditions and disease.