Abstract #1458

Detection of resting-state functional connectivity networks in the human lumbar spinal cord at 3T

Anna JE Combes^1,2, Anirban Sengupta^1,2, Baxter P Rogers^1,2, Delaney Houston¹, Logan Prock¹, Francesca Bagnato³, Colin D McKnight³, John C Gore^1,2,4, Seth A Smith^1,2,4, and Kristin P O'Grady^1,2

¹Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, ²Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, ³Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, ⁴Biomedical Engineering, Vanderbilt University, Nashville, TN, United States

Synopsis

3D multishot GRE resting-state BOLD-sensitive images of the lumbar spinal cord were acquired in 10 healthy participants as part of a functional MRI (fMRI) protocol. Temporal SNR in the gray matter (GM) was 18.2±4.3 after post-processing. Average correlations at rest were 0.49±0.17 between ventral horns, and 0.55±0.13 between dorsal horns, and could be detected at the single-subject level using seed-based analysis. Independent Component Analysis in 6 subjects, each scanned on two different occasions, identified network nodes within GM that were consistent across sessions. FMRI of the lumbar spine is feasible and may reflect functional integrity of the lumbar cord.

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