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Abstract #1657

Assessing the Reliability of Estimated Correlation During the Evaluation of Dynamic Functional Connectivity

Tuo Shi1, D Rangaprakash1, and Gopikrishna Deshpande1,2,3

1AU MRI Research Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, United States, 2Department of Psychology, Auburn University, Auburn, AL, United States, 3Alabama Advanced Imaging Consortium, Auburn University and University of Alabama Birmingham, Auburn, AL, United States

In this work, we propose a novel strategy for selecting the minimum window length required to capture maximum dynamics as well as reliably estimate correlation during dynamic functional connectivity analysis. Using the error in estimated correlation compared to simulated ground-truth correlation as the metric, we compared our method with (i) the fixed window length approach, and (ii) the DCC method. We show that our method can provide minimum window lengths which give more reliable correlation estimates than those obtained from DCC and fixed-window methods. Further, we show that our method can accurately track fast variations in connectivity.

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