Long-term stability of cellular-resolution brain-computer interface recordings after stroke
Utzschmid, A.; Terlau, J.; Held, L.; Schiffl, L.; Chen, H.; Alkan, G.; Favero, P.; Wagner, A.; Gempt, J.; Meyer, B.; Jacob, S. N.
Show abstract
Implantable brain-computer interfaces (iBCIs) with single-neuron resolution are showing great promise for restoring mobility and communication in individuals with spinal cord injury or motor neuron disease. Stroke is the most common cause of acquired brain injury and a major contributor to long-term disability, making chronic stroke a highly relevant indication for iBCIs. However, whether stable intracortical recordings can be obtained from the structurally lesioned human brain is unknown. We report recordings from four 64-channel microelectrode arrays implanted in a participant with chronic aphasia after a large left-hemispheric stroke. The arrays targeted right-hemispheric frontoparietal regions homotopic to the damaged left-hemispheric language network. Across 111 sessions spanning 1,240 days, unit yield and signal quality remained stable. Waveform-based tracking reliably identified individual units across sessions, including across extended recording gaps. Short- and long-term unit stability was comparable to previous reports from iBCI participants without structural brain lesions, and tracked units showed consistent spiking properties across sessions. Our findings provide the first evidence that single-neuron recordings can remain stable over the long term in the stroke-lesioned human brain. They establish the feasibility of chronic, cellular-resolution iBCIs after stroke and support the development of neurorestorative applications for deficits caused by structural brain injury.
Matching journals
The top 7 journals account 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. 94%
- Neural stimulation and recording performance in human somatosensory cortex over 1500 days 92%
- Motor somatotopy impacts imagery strategy success in human intracortical brain-computer interfaces 92%
Similar papers in this journal
- Distinct neural representations during a brain-machine interface and manual reaching task in motor cortex, prefrontal cortex, and striatum 92%
- Inferring entire spiking activity from local field potentials with deep learning 91%
- Layer-specific sensory processing impairment in the primary somatosensory cortex after motor cortex infarction 91%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Pre-stimulus Brain States Predict and Control Variability in Stimulation Responses 92%
- Evoking highly focal percepts in the fingertips through targeted stimulation of sulcal regions of the brain for sensory restoration 92%
- Flexible and Stable Cycle-by-Cycle Phase-Locked Deep Brain Stimulation System Targeting Brain Oscillations in the Management of Movement Disorders 92%
"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.