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Abstract #2489

Sleeping Under the Looping Star: Identifying BOLD Spectral Correlates of Sleep with Silent fMRI.

Nastaren Abad1, Isabelle Heukensfeldt Jansen1, Afis Ajala1, Thomas K.F. Foo1, Ana Beatriz Solana Sanchez2, Florian Wiesinger2, Brice Fernandez3, Angeliki Pollatou4, Kevin DeMarco4,5, Gail Khols5, H. Douglas Morris4, Vincent B Ho4,5, Myeongjin Jeong6, Melanie Boly6, Rasmus Birn6, Kent Werner4,5, and Luca Marinelli1
1GE HealthCare, Technology & Innovation Center, Niskayuna, NY, United States, 2GE HealthCare, Munich, Germany, 3GE HealthCare, Buc, France, 4Uniformed Services University of the Health Sciences, Bethesda, MD, United States, 5Walter Reed National Military Medical Center, Bethesda, MD, United States, 6University of Wisconsin, Madison, WI, United States

Synopsis

Keywords: Functional Connectivity, fMRI (resting state), Sleep, resting state fMRI, silent fMRI, Sleep cycle, BOLD, Brain Connectivity, Brain Dynamics

Motivation: Memory consolidation, synaptic pruning, waste-clearance, immune and hormone modulation require neurovascular-sleep dynamics. We evaluate the novel, silent, Looping Star with the aim of capturing the sleep cycle without acoustic-evoked-microarousals.

Goal(s): To demonstrate the spectral fidelity of silent fMRI with Looping Star, and the ability to detect low and high-frequency BOLD spectral features associated with sleep.

Approach: Multi-echo Looping Star was tested in volunteers by synchronizing to their natural sleep cycle. BOLD spectral power between low(<0.1Hz) and high(>0.1Hz) frequency bands was evaluated.

Results: Distinct transitions between awake, drift and sleep are noted, while replicating previously reported spectral correlates of EEG-fMRI of NREM sleep.

Impact: Due to difficulty of simultaneous EEG-fMRI and the acoustic footprint, our understanding of sleep remains limited. Using the silent Looping Star we report sleep, drift and awake-brain hemodynamic activity. Signatures correlate with slow-wave and spindle activity previously reported with EEG-fMRI.

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Keywords