WIRELESS IMPLANTABLE CORTICAL NEUROPROSTHETIC SYSTEM (W-ICONS)
Johns Hopkins University (Francesco Tenore)
Project ID:J9A3PAPERSI0
The goal of this project is to develop a Wireless, fully Implantable, bidirectional Cortical Neuroprosthetic System (W-ICONS) for restoring sensorimotor function through an interface with intact upper limb areas of primary motor and sensory cortex. Technologies that enable direct communication to and from the brain have increasingly shown promise for restoring independence to people affected by high spinal cord injuries. Despite these advances, neural interface systems are still mostly confined to laboratory settings, requiring a team of researchers to handle cumbersome transcutaneous interfaces, extensive wiring, and bulky devices for recording and stimulating neural activity. Further, these devices have typically been equipped exclusively with neural recording capabilities. The W-ICONS device would be the first wireless, bidirectional—incorporating neural recording and stimulation—cortical implant for tetraplegic individuals, creating a truly portable device for use outside the lab environment. This proposed translational study benefits from over a decade of clinical studies with microelectrode arrays, demonstrating safety and efficacy in restoring lost sensorimotor functions.
WHOLE BODY PCG PAPER
University of Pittsburgh (Michael Boninger & Jennifer Collinger)
Project ID:K1KK0H4SRS11 Dataset Size:48.9 MB
Chicago Participant Data for the paper "A mosaic of whole-body representations on the human precentral gyrus"
VERBAL FLUENCY
University of Alabama at Birmingham (Harrison Walker & Jeevan kumar Jadapalli)
Project ID:1UXQYOCLCIOB Dataset Size:84 KB
1UXQYOCLCIOB is a subproject for the "Noninvasive Biomarkers to Advance Emerging DBS Electrode Technologies in Parkinson’s Disease" dataset.
UNDERSTANDING THE NEURAL BASIS OF VOLITIONAL STATE THROUGH CONTINUOUS RECORDINGS IN HUMANS
Massachusetts General Hospital (Sydney Cash)
Project ID:1U01NS098968 Dataset Size:204.72 GB
From simple decisions to more significant and complex thoughts, we constantly shift our aims and intentions and the degree to which we are interacting externally or internally. Understanding these shifts is key to the development of truly autonomous brain-computer interfaces and neuroprosthetics as well as to understanding how these kinds of alterations can be compromised in a wide variety of neuropsychiatric diseases. This multidisciplinary and multi-institutional project goes beyond routine cognitive studies based on constrained stimulus response designs and instead utilizes continuous recordings of neural activity during spontaneous behavior to decode changes in volitional state during motor activity and communication.
UH3-IMPEDANCETESTS
University of Pittsburgh (Michael Boninger & Jennifer Collinger)
Project ID:BTWQLWB4I0U3 Dataset Size:10.0 MB
BTWQLWB4I0U3 is a subproject for the "A Biomimetic Approach towards a Dexterous Neuroprosthesis" dataset.