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Bayesian methods for cortical surface neuroimaging data

Award Number: R01EB027119
ORGANIZATION: NATIONAL INSTITUTE Of BIOMEDICAL IMAGING & BIOENGINEERING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 02/01/2019
PERIOD OF PERFORMANCE END DATE: 09/30/2024

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Bayesian methods for cortical surface neuroimaging data - PROJECT SUMMARY: Over the past several decades, non-invasive functional magnetic resonance imaging (fMRI) has revolutionized the study of brain function and organization, enhancing scientific understanding of normal brain function, development, aging and disease. Yet leveraging the full potential of fMRI data remains challenging due to its massive size, complex dependence structure and noise. Analysis of individual subjects, which is needed for clinical care and the study of brain-behavior relationships, is particularly difficult due to high noise levels and typical short scan durations. Traditional analysis techniques were originally developed with computational feasibility in mind, rather than optimal efficiency and power. Today, statistical, computational and data advances provide opportunities for development of statistical methods with substantially improved accuracy for group and individual fMRI analysis. In particular, cortical-surface fMRI (csfMRI) data, an increasingly popular format in which the cortical gray matter is projected to a 2-dimensional manifold, offers two important benefits. First, geodesic distances along the cortical surface are a meaningful measure of dissimilarity in neuronal activation, unlike Euclidean distances in traditional volumetric fMRI data, making csfMRI optimal for use in spatial models. Second, csfMRI data achieves more accurate alignment of subjects' cortical areas, thus improving the precision of group studies and providing an opportunity to borrow strength across subjects. This project focuses on the development of computationally efficient Bayesian statistical methods for csfMRI data. We address two specific scientific objectives: (1) estimation of activation in the brain in response to a task or stimulus, and (2) identification of functional areas of the brain, which tend to activate together in the absence of a particular task. For (1), we propose a spatial Bayesian model that addresses the limitations of previously proposed models by (a) utilizing csfMRI data rather than volumetric fMRI, (b) employing recent developments in spatial statistics and Bayesian computation for accurate and efficient model estimation, (c) utilizing an efficient excursions set method to identify areas of activation based on the joint (rather than the marginal) posterior distribution, and (d) proposing an efficient and principled multi-subject analysis approach. We also propose several extensions to allow for spatial dependencies that are not stationary and isotropic. For (2), we propose a hierarchical Bayesian independent component analysis (ICA) model that borrows strength from the population through empirical priors, which are estimated from large, publicly available fMRI datasets. The use of empirical priors is very computationally advantageous. Finally, we combine this model with the proposed spatial Bayesian approach to task activation developed for Aim 1 by incorporating a spatial prior appropriate for csfMRI data into the hierarchical ICA model. We conduct simulation and reliability studies to validate the proposed methods and compare them with traditional approaches. We also apply the proposed methods to studies of autism spectrum disorder and amyotrophic lateral sclerosis or Lou Gehrig's disease.


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: 2025 ( Subtotal = $0 )
2025	2022	TRUSTEES OF INDIANA UNIVERSITY	107 S INDIANA AVE	BLOOMINGTON	IN	47405	MONROE	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	4	2/20/2025	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2024 ( Subtotal = $0 )
2024	2022	TRUSTEES OF INDIANA UNIVERSITY	107 S INDIANA AVE	BLOOMINGTON	IN	47405	MONROE	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	4	11/29/2023	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2022 ( Subtotal = $353,033 )
2022	2022	TRUSTEES OF INDIANA UNIVERSITY	107 S INDIANA AVE	BLOOMINGTON	IN	47405	MONROE	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	001	4	6/16/2022	NON-COMPETING CONTINUATION	$35,305
2022	2022	TRUSTEES OF INDIANA UNIVERSITY	107 S INDIANA AVE	BLOOMINGTON	IN	47405	MONROE	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	4	12/28/2021	NON-COMPETING CONTINUATION	$317,728
														Subtotal = $353,033

Issue Date FY: 2021 ( Subtotal = $719,386 )
2021	2021	TRUSTEES OF INDIANA UNIVERSITY	107 S INDIANA AVENUE	BLOOMINGTON	IN	47405	MONROE	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	002	3	5/18/2021	SUPPLEMENT FOR EXPANSION	$363,807
2021	2021	TRUSTEES OF INDIANA UNIVERSITY	107 S INDIANA AVENUE	BLOOMINGTON	IN	47405	MONROE	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	001	3	4/5/2021	NON-COMPETING CONTINUATION	$29,027
2021	2021	TRUSTEES OF INDIANA UNIVERSITY	107 S INDIANA AVENUE	BLOOMINGTON	IN	47405	MONROE	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	3	12/11/2020	NON-COMPETING CONTINUATION	$326,552
2021	2021	TRUSTEES OF INDIANA UNIVERSITY	107 S INDIANA AVENUE	BLOOMINGTON	IN	47405	MONROE	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	003	3	5/26/2021	NON-COMPETING CONTINUATION	$0
														Subtotal = $719,386

Issue Date FY: 2020 ( Subtotal = $349,598 )
2020	2020	TRUSTEES OF INDIANA UNIVERSITY	BRYAN HALL 107 S INDIANA AVENUE	BLOOMINGTON	IN	47405	MONROE	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	2	12/6/2019	NON-COMPETING CONTINUATION	$314,638
2020	2020	TRUSTEES OF INDIANA UNIVERSITY	BRYAN HALL 107 S INDIANA AVENUE	BLOOMINGTON	IN	47405	MONROE	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	001	2	1/15/2020	NON-COMPETING CONTINUATION	$34,960
														Subtotal = $349,598

Issue Date FY: 2019 ( Subtotal = $370,239 )
2019	2019	TRUSTEES OF INDIANA UNIVERSITY	BRYAN HALL 107 S INDIANA AVENUE	BLOOMINGTON	IN	47405	MONROE	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	1	1/24/2019	NEW	$370,239
														Subtotal = $370,239

Grand Total All Awards = $1,792,256

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Bayesian methods for cortical surface neuroimaging data

Award Number: R01EB027119

ORGANIZATION: NATIONAL INSTITUTE Of BIOMEDICAL IMAGING & BIOENGINEERING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 02/01/2019

PERIOD OF PERFORMANCE END DATE: 09/30/2024

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