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Quantifying neural variability and learning during real world brain-computer interface use

Award Number: R01NS121079
ORGANIZATION: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 01/15/2022
PERIOD OF PERFORMANCE END DATE: 11/30/2026

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Quantifying neural variability and learning during real world brain-computer interface use - The performance of intracortical brain-computer interfaces (BCIs) has advanced substantially over the last decade, but these devices are not yet robust enough for the home environment, where they can truly improve quality of life for individuals with disabilities. To date, BCIs have depended on experienced technicians to operate large and complicated systems comprised of multiple computers, signal processors, neural recording headstages, and custom software. Our laboratory has developed a portable, battery-powered intracortical BCI system that enables independent in-home computer access. However, to achieve the long-term goal of true clinical viability, BCIs must also offer reliable and robust functional performance in the less well-controlled home environment. We have achieved robust and generalizable control of a computer cursor using a biomimetic approach that combines reach-based velocity control of cursor position with grasp-based control of mouse click onset and offset. This transient-based neural decoder allows for generalized click function, adding the ability to ‘click-and-drag’ when accessing a computer (similar to carrying an object) to the ‘point-and-click’ functionality that is typically implemented in BCIs. Independent home use of the BCI system will provide an opportunity to collect neural data over long periods of time during unstructured and varied tasks, enabling quantification of context-dependent neural variability due to subject-state (e.g., fatigue, pain, or stress) as well as plasticity due to learning. Understanding how neural signals vary over time will be critical for clinical BCI systems that must be robust, generalizable, and autonomous (i.e., operate for extended periods without technician intervention). This project will first quantify the impact of subject-state on movement-related neural activity and performance during in-home BCI use. This understanding is critical to developing robust BCIs that eliminate the need for recalibration even in uncontrolled environments. The extent to which subject-state information is represented in motor cortex and overlaps with BCI control dimensions will inform development efforts to mitigate the impact of these nuisance variables. Participants will use the BCI for a variety of self-selected computer access tasks over periods of many months that will challenge decoder performance. This project will investigate motor learning mechanisms that may be engaged to facilitate improvements in performance that generalize to many different tasks. Experiments will test the hypothesis that stable population-level neural activity emerges to strengthen movement-related activity while minimizing non-task-related neural variability. Finally, participants will undergo targeted neural training to determine if motor learning can be accelerated and whether different mechanisms of neural reorganization are engaged in response to interventions that challenge the speed and accuracy properties of the decoder in different ways. This project will improve our understanding of neural plasticity mechanisms during extended BCI use in a real-world environment. Ultimately this knowledge will enable stable, high- functioning BCI performance during independent home-use, which is critical for clinical translation.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $471,429 )
2026	2026	UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION	4200 FIFTH AVENUE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	5	12/22/2025	NON-COMPETING CONTINUATION	$471,429
														Subtotal = $471,429

Issue Date FY: 2025 ( Subtotal = $568,408 )
2025	2025	UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION	4200 FIFTH AVENUE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	4	12/3/2024	NON-COMPETING CONTINUATION	$480,436
2025	2025	UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION	4200 FIFTH AVENUE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	001	4	12/10/2024	SUPPLEMENT FOR EXPANSION	$87,972
														Subtotal = $568,408

Issue Date FY: 2024 ( Subtotal = $692,832 )
2024	2024	UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION	4200 FIFTH AVENUE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	002	3	4/24/2024	NON-COMPETING CONTINUATION	$39,112
2024	2024	UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION	4200 FIFTH AVENUE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	001	3	1/23/2024	SUPPLEMENT FOR EXPANSION	$150,808
2024	2024	UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION	4200 FIFTH AVENUE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	3	12/19/2023	NON-COMPETING CONTINUATION	$502,912
														Subtotal = $692,832

Issue Date FY: 2023 ( Subtotal = $595,551 )
2023	2023	UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION	4200 FIFTH AVENUE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	002	2	9/7/2023	SUPPLEMENT FOR EXPANSION	$35,449
2023	2023	UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION	4200 FIFTH AVENUE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	001	2	1/31/2023	NON-COMPETING CONTINUATION	$53,270
2023	2023	UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION	4200 FIFTH AVENUE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	2	12/26/2022	NON-COMPETING CONTINUATION	$479,444
2023	2023	UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION	4200 FIFTH AVENUE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	004	2	9/21/2023	SUPPLEMENT FOR EXPANSION	$5,621
2023	2023	UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION	4200 FIFTH AVENUE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	003	2	9/11/2023	SUPPLEMENT FOR EXPANSION	$21,767
														Subtotal = $595,551

Issue Date FY: 2022 ( Subtotal = $613,482 )
2022	2022	UNIVERSITY OF PITTSBURGH, THE	4200 5TH AVE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	1	1/10/2022	NEW	$613,482
														Subtotal = $613,482

Grand Total All Awards = $2,941,702

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Quantifying neural variability and learning during real world brain-computer interface use

Award Number: R01NS121079

ORGANIZATION: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 01/15/2022

PERIOD OF PERFORMANCE END DATE: 11/30/2026

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