adding yinmings paper

Author: manishsaggar1

images/papers/yinming-dense.png

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+---
+layout: paper
+title: Densely sampled stimulus-response map of human cortex with single pulse TMS-EEG and its relation to whole brain neuroimaging measures
+image: /images/papers/yinming-dense.png
+authors: 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.
+year: 2024
+ref: 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) BioRxiv
+journal: "BioRxiv"
+doi: 10.1101/2024.06.16.599236
+github:
+pdf: /pdfs/papers/yinming-dense.pdf
+---
+
+# 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 brain’s 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.