Dataset Information

Rapid calibration of an intracortical brain-computer interface for people with tetraplegia.

ABSTRACT: OBJECTIVE:Brain-computer interfaces (BCIs) can enable individuals with tetraplegia to communicate and control external devices. Though much progress has been made in improving the speed and robustness of neural control provided by intracortical BCIs, little research has been devoted to minimizing the amount of time spent on decoder calibration. APPROACH:We investigated the amount of time users needed to calibrate decoders and achieve performance saturation using two markedly different decoding algorithms: the steady-state Kalman filter, and a novel technique using Gaussian process regression (GP-DKF). MAIN RESULTS:Three people with tetraplegia gained rapid closed-loop neural cursor control and peak, plateaued decoder performance within 3?min of initializing calibration. We also show that a BCI-naïve user (T5) was able to rapidly attain closed-loop neural cursor control with the GP-DKF using self-selected movement imagery on his first-ever day of closed-loop BCI use, acquiring a target 37?s after initiating calibration. SIGNIFICANCE:These results demonstrate the potential for an intracortical BCI to be used immediately after deployment by people with paralysis, without the need for user learning or extensive system calibration.

SUBMITTER: Brandman DM

PROVIDER: S-EPMC5823702 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Rapid calibration of an intracortical brain-computer interface for people with tetraplegia.

Brandman David M DM Hosman Tommy T Saab Jad J Burkhart Michael C MC Shanahan Benjamin E BE Ciancibello John G JG Sarma Anish A AA Milstein Daniel J DJ Vargas-Irwin Carlos E CE Franco Brian B Kelemen Jessica J Blabe Christine C Murphy Brian A BA Young Daniel R DR Willett Francis R FR Pandarinath Chethan C Stavisky Sergey D SD Kirsch Robert F RF Walter Benjamin L BL Bolu Ajiboye A A Cash Sydney S SS Eskandar Emad N EN Miller Jonathan P JP Sweet Jennifer A JA Shenoy Krishna V KV Henderson Jaimie M JM Jarosiewicz Beata B Harrison Matthew T MT Simeral John D JD Hochberg Leigh R LR

Journal of neural engineering 20180401 2

<h4>Objective</h4>Brain-computer interfaces (BCIs) can enable individuals with tetraplegia to communicate and control external devices. Though much progress has been made in improving the speed and robustness of neural control provided by intracortical BCIs, little research has been devoted to minimizing the amount of time spent on decoder calibration.<h4>Approach</h4>We investigated the amount of time users needed to calibrate decoders and achieve performance saturation using two markedly diffe ...[more]

PMID: 29363625

Similar Datasets

Project description:ObjectiveIndividuals with neurological disease or injury such as amyotrophic lateral sclerosis, spinal cord injury or stroke may become tetraplegic, unable to speak or even locked-in. For people with these conditions, current assistive technologies are often ineffective. Brain-computer interfaces are being developed to enhance independence and restore communication in the absence of physical movement. Over the past decade, individuals with tetraplegia have achieved rapid on-screen typing and point-and-click control of tablet apps using intracortical brain-computer interfaces (iBCIs) that decode intended arm and hand movements from neural signals recorded by implanted microelectrode arrays. However, cables used to convey neural signals from the brain tether participants to amplifiers and decoding computers and require expert oversight, severely limiting when and where iBCIs could be available for use. Here, we demonstrate the first human use of a wireless broadband iBCI.MethodsBased on a prototype system previously used in pre-clinical research, we replaced the external cables of a 192-electrode iBCI with wireless transmitters and achieved high-resolution recording and decoding of broadband field potentials and spiking activity from people with paralysis. Two participants in an ongoing pilot clinical trial completed on-screen item selection tasks to assess iBCI-enabled cursor control.ResultsCommunication bitrates were equivalent between cabled and wireless configurations. Participants also used the wireless iBCI to control a standard commercial tablet computer to browse the web and use several mobile applications. Within-day comparison of cabled and wireless interfaces evaluated bit error rate, packet loss, and the recovery of spike rates and spike waveforms from the recorded neural signals. In a representative use case, the wireless system recorded intracortical signals from two arrays in one participant continuously through a 24-hour period at home.SignificanceWireless multi-electrode recording of broadband neural signals over extended periods introduces a valuable tool for human neuroscience research and is an important step toward practical deployment of iBCI technology for independent use by individuals with paralysis. On-demand access to high-performance iBCI technology in the home promises to enhance independence and restore communication and mobility for individuals with severe motor impairment.

Dataset Information

Rapid calibration of an intracortical brain-computer interface for people with tetraplegia.

Publications

Rapid calibration of an intracortical brain-computer interface for people with tetraplegia.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets