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Mapping Brain-Cognition Relationships which Encode Cognitive Deficits in Refractory Epilepsy

Award Number: R03NS103000
ORGANIZATION: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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PROJECT ABSTRACT Epilepsy surgery involving the anteromedial temporal lobe (ATL) often results in deficits of language or memory. The best clinical predictor of postsurgical cognitive deficits is the extent to which tissues around the epileptogenic focus were spared during resection. We recently showed that resting-state functional connectivity (rs-FC) can predict normative variance in higher-order cognition; rs-FC has subsequently been shown to outperform lesion-based analyses for modeling stroke-related deficits of higher-order cognitions including memory. The proposed retrospective analyses of existing datasets will evaluate the prognostic value of rs-FC for modeling presurgical deficits of language and memory among patients with refractory epilepsy. Aim 1 will replicate our methodology for relating rs-FC to cognitive ability using an independent normative sample of healthy control subjects acquired at Emory University. Aim 2 will evaluate the clinical utility of our method by modeling the influence of clinical symptoms (such as seizure frequency and laterality of epileptogenic focus) upon the relationship between rs-FC and presurgical memory and/or language deficits within a sample of patients with refractory epilepsy. Aim 3 will use machine learning approaches to evaluate rs-FC's ability to explain presurgical cognitive deficits relative to other MRI modalities (such as anatomic volume, cortical thickness, white matter integrity, and task-based fMRI activity). The proposed model-based and hypothesis- driven research plan would critically evaluate resting-state fMRI's prognostic capability to explain epilepsy- related cognitive deficits, and thus establish the necessary methodological groundwork for future prospective analyses using rs-FC to predict postsurgical cognitive outcomes.


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: 2020 ( Subtotal = -$12,835 )
2020	2019	UNIVERSITY OF ARKANSAS SYSTEM	4301 W MARKHAM ST SLOT 812 BIO-MED BLDG 1 STE 102	LITTLE ROCK	AR	72205	PULASKI	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	2	7/10/2020	NON-COMPETING CONTINUATION	-$12,835
														Subtotal = -$12,835

Issue Date FY: 2019 ( Subtotal = $77,920 )
2019	2019	UNIVERSITY OF ARKANSAS SYSTEM	4301 W MARKHAM ST SLOT 812 BIO-MED BLDG 1 STE 102	LITTLE ROCK	AR	72205	PULASKI	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	2	1/23/2019	NON-COMPETING CONTINUATION	$77,920
														Subtotal = $77,920

Issue Date FY: 2018 ( Subtotal = $77,820 )
2018	2018	UNIVERSITY OF ARKANSAS SYSTEM	4301 W MARKHAM ST SLOT 812 BIO-MED BLDG 1 STE 102	LITTLE ROCK	AR	72205	PULASKI	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	1	2/5/2018	NEW	$77,820
														Subtotal = $77,820

Grand Total All Awards = $142,905

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Mapping Brain-Cognition Relationships which Encode Cognitive Deficits in Refractory Epilepsy

Award Number: R03NS103000

ORGANIZATION: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

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