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Abstract #2830

Lomb-Scargle your way to RSFC parameter estimation in AFNI-FATCAT

Paul A Taylor1, Gang Chen2, Daniel R Glen2, Richard C Reynolds1, and Robert W Cox1

1NIMH, NIH, Bethesda, MD, United States, 2NIH, Bethesda, MD, United States

We propose a new tool in AFNI-FATCAT to estimate the above RSFC parameters even when time series are censored, using the Lomb-Scargle (L-S) periodogram. The L-S approach for estimating RSFC parameters is useful and generalizable for FMRI data, where censoring is nearly always performed during processing. The method shows minimal bias of parameter estimation, and also allows for the estimation of confidence intervals for the parameters.

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