Project Details
Project Details
CONSTRUCTING 2D MAPS OF HUMAN SPINAL CORD ACTIVITY AND ISOLATING THE FUNCTIONAL MIDLINE WITH HIGH-DENSITY MICROELECTRODE ARRAYS
Project ID: SMIZGIPQ0D5H
Investigators: Shadi Dayeh & Angelique c Paulk
Dataset Size: 5.60 GB
Files: 67
Description:
SMIZGIPQ0D5H is a subproject for the "Thin, High-Density, High-Performance, Depth and Surface Microelectrodes for Diagnosis and Treatment of Epilepsy" dataset. This project contains the data for the publication Russman et al., "Constructing 2D Maps of Human Spinal Cord Activity and Isolating the Functional Midline with High-Density Microelectrode Arrays". It contains the raw spine surface microelectrode data files to test novel high resolution thin film surface electrodes for recording neural activity. The data set involves the intraoperative monitoring approaches such as examining motor or sensory evoked potentials (SSEPs and MEPs) to map functional circuits in the spine at high resolution. Contact: Shadi Dayeh (sdayeh@eng.ucsd.edu). If you use this data as a part of any publications, please use the following citation: Russman SM, Cleary DR, Tchoe Y, Bourhis AM, Stedelin B, Martin J, Brown EC, Zhang X, Kawamoto A, Ryu WHA, Raslan AM, Ciacci JD, Dayeh SA. Constructing 2D maps of human spinal cord activity and isolating the functional midline with high-density microelectrode arrays. Sci Transl Med. 2022 Sep 28;14(664):eabq4744. doi: 10.1126/scitranslmed.abq4744. Epub 2022 Sep 28. PMID: 36170445; PMCID: PMC9650777. The research subjects were patients undergoing an intramedullary spinal cord tumor resection or biopsy procedure at the cervical segment with IONM with both epidural and subdural spinal cord exposure. Subjects were recruited by the neurosurgery team involved in this study. All patients voluntarily participated after informed consent in accordance with the University of California Institutional Review Board (IRB). Subjects were informed that participating in the study would not affect the treatment they received. Participants could withdraw at any time. Recordings were acquired from 6 participants.
For questions about this dataset, contact apaulk@mgh.harvard.edu
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