Abstract #3775

On the detection of resting-state correlations at high-frequencies under hyper- and hypo- capnic conditions

Kishore Vakamudi¹, Khaled Talaat², Arpad Zolyomi², Arvind Caprihan³, and Stefan Posse¹

¹Neurology, University of New Mexico, Albuqueruque, NM, United States, ²University of New Mexico, Albuqueruque, NM, United States, ³Mind Research Network, Albuqueruque, NM, United States

In this study, we investigate the detection of resting-state fluctuations at higher frequencies using changes in global blood flow using hyper- and hypo- capnic conditions. A new adaptive TR approach enables higher sensitivity for detecting the resting-state fluctuations at higher frequencies through optimized TR that is tailored to the individual cardiac and respiratory rates. We were able to detect major resting-state networks (sensory motor, default-mode, and auditory) at frequencies between 0.45-0.8 Hz in normo-, hyper-, and hypo- capnic conditions.

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