Tuesday, November 4, 2025 11/4/2025

Predicting Cognitive Outcomes from Stroke Based on Lesion Location

Award Number: R01NS114405
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: 01/01/2020
PERIOD OF PERFORMANCE END DATE: 12/31/2024

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Predicting Cognitive Outcomes from Stroke Based on Lesion Location - Abstract Having a stroke is a frightening experience for both the patient and their loved ones. A major source of anxiety is not knowing what stroke-related deficits will persist – will my loved one ever be able to talk again? The likelihood for recovery is estimated by the treating neurologist or rehabilitation specialist based on their personal experience. There are no tools available that can use information about the location of the stroke, query it against the outcomes from hundreds or thousands of other individuals, and generate a personalized quantitative prediction of stroke-related deficits and prognosis for long-term recovery. Here, we propose to develop such a tool. At the University of Iowa we have one of the most comprehensive lesion registries in the world of some 3,500 patients with focal acquired brain lesions, neuroimaging, and extensive data on outcomes. We propose to capitalize on this unique resource by developing a tool to predict cognitive outcomes from stroke based on lesion location. First, we propose to map brain regions most associated with specific cognitive deficits across over 1000 patients, including symptoms such as difficulty speaking or problems with attention. Next, in a prospectively collected cohort with acute ischemic stroke we will attempt to predict cognitive outcomes by querying lesion location against the aforementioned symptom ‘maps.’ We hypothesize that lesion location will be a significant predictor of chronic cognitive outcomes. Second, we have recently developed an innovative strategy that links lesion-associated deficits to specific brain networks. It combines traditional lesion mapping with human connectome data from healthy adults to infer what networks are disrupted by focal brain lesions. We will evaluate whether this lesion network mapping approach can be used to compliment the traditional lesion mapping approach to predict additional variance in cognitive outcomes. Finally, we will use advanced statistical modeling to evaluate how predictive information from lesion location can be optimally integrated with demographic information and baseline screening cognitive performance to maximize predictions of chronic cognitive outcomes in a longitudinal cohort. By addressing these objectives, we will lay the foundation for developing a clinical tool that can be applied to a clinically-acquired MRI scan to aid in determining the prognosis of cognitive outcomes, a key factor that will help in the early management, rehabilitation, and life planning for patients with stroke.


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: 2024 ( Subtotal = $325,723 )
2024	2024	THE UNIVERSITY OF IOWA	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	001	5	5/3/2024	NON-COMPETING CONTINUATION	$23,504
2024	2024	THE UNIVERSITY OF IOWA	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	5	12/13/2023	NON-COMPETING CONTINUATION	$302,219
														Subtotal = $325,723

Issue Date FY: 2023 ( Subtotal = $417,236 )
2023	2023	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	4	12/14/2022	NON-COMPETING CONTINUATION	$298,633
2023	2023	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	001	4	12/30/2022	SUPPLEMENT FOR EXPANSION	$41,805
2023	2023	THE UNIVERSITY OF IOWA	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	003	4	2/1/2023	NON-COMPETING CONTINUATION	$33,179
2023	2023	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	002	4	1/2/2023	SUPPLEMENT FOR EXPANSION	$43,619
														Subtotal = $417,236

Issue Date FY: 2022 ( Subtotal = $421,838 )
2022	2022	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	004	3	4/7/2022	SUPPLEMENT FOR EXPANSION	$45,576
2022	2022	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	003	3	3/25/2022	NON-COMPETING CONTINUATION	-$104,657
2022	2022	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	005	3	4/25/2022	SUPPLEMENT FOR EXPANSION	$48,319
2022	2022	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	002	3	12/31/2021	NON-COMPETING CONTINUATION	$0
2022	2022	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	001	3	12/15/2021	NON-COMPETING CONTINUATION	$432,600
2022	2021	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	2	12/10/2021	SUPPLEMENT FOR EXPANSION	$0
														Subtotal = $421,838

Issue Date FY: 2021 ( Subtotal = $499,179 )
2021	2021	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	004	2	9/7/2021	SUPPLEMENT FOR EXPANSION	$73,848
2021	2021	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	2	12/8/2020	NON-COMPETING CONTINUATION	$428,815
2021	2021	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	001	2	1/19/2021	NON-COMPETING CONTINUATION	$47,649
2021	2021	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	002	2	6/29/2021	NON-COMPETING CONTINUATION	-$51,133
2021	2020	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	003	1	7/5/2021	SUPPLEMENT FOR EXPANSION	$0
														Subtotal = $499,179

Issue Date FY: 2020 ( Subtotal = $410,815 )
2020	2020	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	002	1	7/24/2020	SUPPLEMENT FOR EXPANSION	$40,325
2020	2020	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	001	1	7/20/2020	SUPPLEMENT FOR EXPANSION	$40,325
2020	2020	UNIVERSITY OF IOWA, THE	105 JESSUP HALL	IOWA CITY	IA	52242	JOHNSON	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	1	12/20/2019	NEW	$330,165
														Subtotal = $410,815

Grand Total All Awards = $2,074,791

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Predicting Cognitive Outcomes from Stroke Based on Lesion Location

Award Number: R01NS114405

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: 01/01/2020

PERIOD OF PERFORMANCE END DATE: 12/31/2024

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