A Bayesian Regularized and Annotation-Informed Integrative Analysis of Cognition (BRAINIAC)

We present the novel Bayesian Regularized and Annotation-Informed Integrative Analysis of Cognition (BRAINIAC) model. BRAINIAC allows for estimation of total variance explained by all features for a given cognitive phenotype, as well as a principled assessment of the impact of annotations on relativ...

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Main Authors: Rong W. Zablocki, Bohan Xu, Chun-Chieh Fan, Wesley K. Thompson
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Developmental Cognitive Neuroscience
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Online Access:http://www.sciencedirect.com/science/article/pii/S1878929325000647
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author Rong W. Zablocki
Bohan Xu
Chun-Chieh Fan
Wesley K. Thompson
author_facet Rong W. Zablocki
Bohan Xu
Chun-Chieh Fan
Wesley K. Thompson
author_sort Rong W. Zablocki
collection DOAJ
description We present the novel Bayesian Regularized and Annotation-Informed Integrative Analysis of Cognition (BRAINIAC) model. BRAINIAC allows for estimation of total variance explained by all features for a given cognitive phenotype, as well as a principled assessment of the impact of annotations on relative enrichment of predictive features compared to others in terms of variance explained, without relying on a potentially unrealistic assumption of sparsity of brain–behavior associations. We validate BRAINIAC in Monte Carlo simulation studies. In real data analyses, we train the BRAINIAC model on resting state functional magnetic resonance imaging (rsMRI) and neuropsychiatric data from the Adolescent Brain Cognitive Development (ABCD) Study and use the trained model in an out-of-study application to harmonized resting-state data from the Human Connectome Project Development (HCP-D), demonstrating a substantial improvement in out-of-study predictive power by incorporating relevant annotations into the BRAINIAC model.
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spelling doaj-art-b35a797a594a4d22aac33ecfadadb8f02025-08-20T03:29:10ZengElsevierDevelopmental Cognitive Neuroscience1878-92932025-08-017410156910.1016/j.dcn.2025.101569A Bayesian Regularized and Annotation-Informed Integrative Analysis of Cognition (BRAINIAC)Rong W. Zablocki0Bohan Xu1Chun-Chieh Fan2Wesley K. Thompson3Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USAPopulation Neuroscience and Genetics (PoNG) Center, Laureate Institute for Brain Research, Tulsa, OK, USAPopulation Neuroscience and Genetics (PoNG) Center, Laureate Institute for Brain Research, Tulsa, OK, USAPopulation Neuroscience and Genetics (PoNG) Center, Laureate Institute for Brain Research, Tulsa, OK, USA; Corresponding author.We present the novel Bayesian Regularized and Annotation-Informed Integrative Analysis of Cognition (BRAINIAC) model. BRAINIAC allows for estimation of total variance explained by all features for a given cognitive phenotype, as well as a principled assessment of the impact of annotations on relative enrichment of predictive features compared to others in terms of variance explained, without relying on a potentially unrealistic assumption of sparsity of brain–behavior associations. We validate BRAINIAC in Monte Carlo simulation studies. In real data analyses, we train the BRAINIAC model on resting state functional magnetic resonance imaging (rsMRI) and neuropsychiatric data from the Adolescent Brain Cognitive Development (ABCD) Study and use the trained model in an out-of-study application to harmonized resting-state data from the Human Connectome Project Development (HCP-D), demonstrating a substantial improvement in out-of-study predictive power by incorporating relevant annotations into the BRAINIAC model.http://www.sciencedirect.com/science/article/pii/S1878929325000647Bayesian modelingVariance componentsAnnotationsABCD StudyWhole-brain analyses
spellingShingle Rong W. Zablocki
Bohan Xu
Chun-Chieh Fan
Wesley K. Thompson
A Bayesian Regularized and Annotation-Informed Integrative Analysis of Cognition (BRAINIAC)
Developmental Cognitive Neuroscience
Bayesian modeling
Variance components
Annotations
ABCD Study
Whole-brain analyses
title A Bayesian Regularized and Annotation-Informed Integrative Analysis of Cognition (BRAINIAC)
title_full A Bayesian Regularized and Annotation-Informed Integrative Analysis of Cognition (BRAINIAC)
title_fullStr A Bayesian Regularized and Annotation-Informed Integrative Analysis of Cognition (BRAINIAC)
title_full_unstemmed A Bayesian Regularized and Annotation-Informed Integrative Analysis of Cognition (BRAINIAC)
title_short A Bayesian Regularized and Annotation-Informed Integrative Analysis of Cognition (BRAINIAC)
title_sort bayesian regularized and annotation informed integrative analysis of cognition brainiac
topic Bayesian modeling
Variance components
Annotations
ABCD Study
Whole-brain analyses
url http://www.sciencedirect.com/science/article/pii/S1878929325000647
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