Densely sampled stimulus-response map of human cortex with single pulse TMS-EEG and its relation to whole brain neuroimaging measures

Sun, Y.; Lucas, M. V.; Cline, C. C.; Menezes, M. C.; Kim, S.; Badami, F. S.; Narayan, M.; Wu, W.; Daskalakis, Z. J.; Etkin, A.; Saggar, M.

doi:10.1101/2024.06.16.599236

bioRxiv · 10.1101/2024.06.16.599236

Densely sampled stimulus-response map of human cortex with single pulse TMS-EEG and its relation to whole brain neuroimaging measures

Sun, Y.·Lucas, M. V.·Cline, C. C.·Menezes, M. C.·Kim, S.·Badami, F. S.·Narayan, M.·Wu, W.·Daskalakis, Z. J.·Etkin, A.·Saggar, M.

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Abstract

Large-scale networks underpin brain functions. How such networks respond to focal stimulation can help decipher complex brain processes and optimize brain stimulation treatments. To map such stimulation-response patterns across the brain non-invasively, we recorded concurrent EEG responses from single-pulse transcranial magnetic stimulation (i.e., TMS-EEG) from over 100 cortical regions with two orthogonal coil orientations from one densely-sampled individual. We also acquired Human Connectome Project (HCP)-styled diffusion imaging scans (six), resting-state functional Magnetic Resonance Imaging (fMRI) scans (120 mins), resting-state EEG scans (108 mins), and structural MR scans (T1- and T2-weighted). Using the TMS-EEG data, we applied network science-based community detection to reveal insights about the brains causal-functional organization from both a stimulation and recording perspective. We also computed structural and functional maps and the electric field of each TMS stimulation condition. Altogether, we hope the release of this densely sampled (n=1) dataset will be a uniquely valuable resource for both basic and clinical neuroscience research.

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Sun, Y., Lucas, M. V., Cline, C. C., Menezes, M. C., Kim, S., Badami, F. S., Narayan, M., Wu, W., Daskalakis, Z. J., Etkin, A., Saggar, M.. 2024-06-17. Densely sampled stimulus-response map of human cortex with single pulse TMS-EEG and its relation to whole brain neuroimaging measures. https://doi.org/10.1101/2024.06.16.599236

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