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Abstract #3973

Mitigating effects of temporal filter of time-series for reliability of connectome calculations.

Robert Cary Welsh1 and Martin A Lindquist2
1Department of Psychiatry, University of Utah, Salt Lake City, UT, United States, 2Biostatistics, The Johns Hopkins University, Baltimore, MD, United States

Temporal filtering is a typical step in preprocessing of BOLD time-series for calculation of resting-state correlations, which are the basis of a connectome calculation. Bandpass filtering is a usual step in preprocessing of resting-state BOLD time-series data. Temporal filtering can introduce bias in the correlation calculations resulting in artifact in the connectome affecting the reliability in a connectome. We demonstrate this effect in simulations and then show this in data from the Human Connectome Project. We also show how to mitigate this issue for high reliability of the connectome as measured by image intraclass correlation coefficient (I2C2).

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