Long-term performance of intracortical microelectrode arrays in 14 BrainGate clinical trial participants
Hahn, N. V.; Stein, E.; BrainGate Consortium, ; Donoghue, J. P.; Simeral, J. D.; Hochberg, L. R.; Willett, F. R.
Show abstract
Brain-computer interfaces have enabled people with paralysis to control computer cursors, operate prosthetic limbs, and communicate through handwriting, speech, and typing. Most high-performance demonstrations have used silicon microelectrode "Utah" arrays to record brain activity at single neuron resolution. However, reports so far have typically been limited to one or two individuals, with no systematic assessment of the longevity, decoding accuracy, and day-to-day stability properties of chronically implanted Utah arrays. Here, we present a comprehensive evaluation of 20 years of neural data from the BrainGate and BrainGate2 pilot clinical trials. This dataset spans 2,319 recording sessions and 20 arrays from the first 14 participants in these trials. On average, arrays successfully recorded neural spiking waveforms on 35.6% of electrodes, with only a 7% decline over the study enrollment period (up to 7.6 years, with a mean of 2.8 years). We assessed movement intention decoding performance using a "decoding signal-to-noise ratio" (dSNR) metric, and found that 11 of 14 arrays provided meaningful movement decoding throughout study enrollment (dSNR > 1). Three arrays reached a peak dSNR greater than 4.5, approaching that achieved during able-bodied computer mouse control (6.29). We also found that dSNR increases logarithmically with the number of electrodes, providing a pathway for scaling performance. Longevity and reliability of Utah array recordings in this study were better than in prior nonhuman primate studies. However, achieving peak performance consistently will require addressing unknown sources of variability.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Neural subspaces of imagined movements in parietal cortex remain stable over several years in humans. 96%
- Motor somatotopy impacts imagery strategy success in human intracortical brain-computer interfaces 95%
- The Hybrid Drive: a chronic implant device combining tetrode arrays with silicon probes for layer-resolved ensemble electrophysiology in freely moving mice 94%
Similar papers in this journal
- High density single-unit human cortical recordings using the Neuropixels probe 95%
- SHIELD: Skull-shaped hemispheric implants enabling large-scale-electrophysiology datasets in the mouse brain 94%
- Real-Time Linear Prediction of Simultaneous and Independent Movements of Two Finger Groups Using an Intracortical Brain-Machine Interface 94%
Similar papers in this journal
Similar papers in this journal
- CHIME: CMOS-hosted in-vivo microelectrodes for massively scalable neuronal recordings 93%
- Decoding Neural Activity in Sulcal and White Matter Areas of the Brain to Accurately Predict Individual Finger Movement and Tactile Stimuli of the Human Hand 92%
- A fully adapted headstage for electrophysiological experiments with custom and scalable electrode arrays to record widely distributed brain regions 92%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.