Brainstem stroke and amyotrophic lateral sclerosis can lead to devastating disability, resulting in part from communication impairment and immobility. In the most severe cases, patients become locked-in - awake and alert, but unable to move, control their environment, or ask for help. In these disorders, as well as other neurologic diseases and injuries, the desire or intention to move remains fully intact, but the motor centers of the brain are """"""""disconnected"""""""" from their targets in the brainstem or spinal cord, resulting in paralysis. The development and testing of a technology that enables someone with severe paralysis or locked-in syndrome to communicate independently and reliably would revolutionize the fields of assistive technology and neuroengineering, and would be critical steps toward re-enabling limb movement after paralyzing disease or injury. Based on encouraging preliminary findings from participants with tetraplegia and limited communication, this proposed translational research will seek to further develop a neural interface system that can record brain signals and permit persons with paralysis to control communication software, simply by imagining the movement of their own paralyzed arm or hand. Up to five participants with brainstem stroke or ALS will receive a 96-microelectrode array (4x4 mm) which will record the individual and summed activities of ensembles of neurons in the motor cortex. In addition to further assessing the safety of this implanted medical device, this research will support the development of reliable neural decoding algorithms that permit persons with paralysis to use their natural movement-related cortical signals to drive a communication device for speech synthesis and improved environmental control.
People with brainstem stroke or ALS are sometimes unable to talk or communicate, despite being fully awake. This research aims to test and develop a neural interface system that could restore the ability to type words, just imagining the movement of one's own hand.
|Willett, Francis R; Pandarinath, Chethan; Jarosiewicz, Beata et al. (2017) Feedback control policies employed by people using intracortical brain-computer interfaces. J Neural Eng 14:016001|
|Willett, Francis R; Murphy, Brian A; Memberg, William D et al. (2017) Signal-independent noise in intracortical brain-computer interfaces causes movement time properties inconsistent with Fitts' law. J Neural Eng 14:026010|
|Ajiboye, A Bolu; Willett, Francis R; Young, Daniel R et al. (2017) Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia: a proof-of-concept demonstration. Lancet 389:1821-1830|
|Pandarinath, Chethan; Nuyujukian, Paul; Blabe, Christine H et al. (2017) High performance communication by people with paralysis using an intracortical brain-computer interface. Elife 6:|
|Jarosiewicz, Beata; Sarma, Anish A; Saab, Jad et al. (2016) Retrospectively supervised click decoder calibration for self-calibrating point-and-click brain-computer interfaces. J Physiol Paris 110:382-391|
|Bacher, Daniel; Jarosiewicz, Beata; Masse, Nicolas Y et al. (2015) Neural Point-and-Click Communication by a Person With Incomplete Locked-In Syndrome. Neurorehabil Neural Repair 29:462-71|
|Masse, Nicolas Y; Jarosiewicz, Beata; Simeral, John D et al. (2015) Reprint of ""Non-causal spike filtering improves decoding of movement intention for intracortical BCIs"". J Neurosci Methods 244:94-103|
|Pandarinath, Chethan; Gilja, Vikash; Blabe, Christine H et al. (2015) Neural population dynamics in human motor cortex during movements in people with ALS. Elife 4:e07436|
|Gilja, Vikash; Pandarinath, Chethan; Blabe, Christine H et al. (2015) Clinical translation of a high-performance neural prosthesis. Nat Med 21:1142-5|
|Cash, Sydney S; Hochberg, Leigh R (2015) The emergence of single neurons in clinical neurology. Neuron 86:79-91|
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