Leveraging the adolescent brain cognitive development study to improve behavioral prediction from neuroimaging in smaller replication samples
<p>Neuroimaging is a popular method to map brain structural and functional patterns to complex human traits. Recently published observations cast doubt upon these prospects, particularly for prediction of cognitive traits from structural and resting state functional magnetic resonance imaging...
| Main Authors: | , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Oxford University Press
2024
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| _version_ | 1826313732157865984 |
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| author | Makowski, C Brown, TT Zhao, W Hagler Jr, DJ Parekh, P Garavan, H Nichols, T Jernigan, TL Dale, AM |
| author_facet | Makowski, C Brown, TT Zhao, W Hagler Jr, DJ Parekh, P Garavan, H Nichols, T Jernigan, TL Dale, AM |
| author_sort | Makowski, C |
| collection | OXFORD |
| description | <p>Neuroimaging is a popular method to map brain structural and functional patterns to complex human traits. Recently published observations cast doubt upon these prospects, particularly for prediction of cognitive traits from structural and resting state functional magnetic resonance imaging (MRI). We leverage baseline data from thousands of children in the Adolescent Brain Cognitive Development<sup>SM</sup> Study to inform the replication sample size required with univariate and multivariate methods across different imaging modalities to detect reproducible brain-behavior associations. We demonstrate that by applying multivariate methods to high-dimensional brain imaging data, we can capture lower dimensional patterns of structural and functional brain architecture that correlate robustly with cognitive phenotypes and are reproducible with only 41 individuals in the replication sample for working memory-related functional MRI, and ~ 100 subjects for structural and resting state MRI. Even with 100 random re-samplings of 100 subjects in discovery, prediction can be adequately powered with 66 subjects in replication for multivariate prediction of cognition with working memory task functional MRI. These results point to an important role for neuroimaging in translational neurodevelopmental research and showcase how findings in large samples can inform reproducible brain-behavior associations in small sample sizes that are at the heart of many research programs and grants.</p> |
| first_indexed | 2024-09-25T04:21:13Z |
| format | Journal article |
| id | oxford-uuid:d863858c-398c-43e5-8368-476df31aa0f1 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-09-25T04:21:13Z |
| publishDate | 2024 |
| publisher | Oxford University Press |
| record_format | dspace |
| spelling | oxford-uuid:d863858c-398c-43e5-8368-476df31aa0f12024-08-02T10:43:07ZLeveraging the adolescent brain cognitive development study to improve behavioral prediction from neuroimaging in smaller replication samplesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:d863858c-398c-43e5-8368-476df31aa0f1EnglishSymplectic ElementsOxford University Press2024Makowski, CBrown, TTZhao, WHagler Jr, DJParekh, PGaravan, HNichols, TJernigan, TLDale, AM<p>Neuroimaging is a popular method to map brain structural and functional patterns to complex human traits. Recently published observations cast doubt upon these prospects, particularly for prediction of cognitive traits from structural and resting state functional magnetic resonance imaging (MRI). We leverage baseline data from thousands of children in the Adolescent Brain Cognitive Development<sup>SM</sup> Study to inform the replication sample size required with univariate and multivariate methods across different imaging modalities to detect reproducible brain-behavior associations. We demonstrate that by applying multivariate methods to high-dimensional brain imaging data, we can capture lower dimensional patterns of structural and functional brain architecture that correlate robustly with cognitive phenotypes and are reproducible with only 41 individuals in the replication sample for working memory-related functional MRI, and ~ 100 subjects for structural and resting state MRI. Even with 100 random re-samplings of 100 subjects in discovery, prediction can be adequately powered with 66 subjects in replication for multivariate prediction of cognition with working memory task functional MRI. These results point to an important role for neuroimaging in translational neurodevelopmental research and showcase how findings in large samples can inform reproducible brain-behavior associations in small sample sizes that are at the heart of many research programs and grants.</p> |
| spellingShingle | Makowski, C Brown, TT Zhao, W Hagler Jr, DJ Parekh, P Garavan, H Nichols, T Jernigan, TL Dale, AM Leveraging the adolescent brain cognitive development study to improve behavioral prediction from neuroimaging in smaller replication samples |
| title | Leveraging the adolescent brain cognitive development study to improve behavioral prediction from neuroimaging in smaller replication samples |
| title_full | Leveraging the adolescent brain cognitive development study to improve behavioral prediction from neuroimaging in smaller replication samples |
| title_fullStr | Leveraging the adolescent brain cognitive development study to improve behavioral prediction from neuroimaging in smaller replication samples |
| title_full_unstemmed | Leveraging the adolescent brain cognitive development study to improve behavioral prediction from neuroimaging in smaller replication samples |
| title_short | Leveraging the adolescent brain cognitive development study to improve behavioral prediction from neuroimaging in smaller replication samples |
| title_sort | leveraging the adolescent brain cognitive development study to improve behavioral prediction from neuroimaging in smaller replication samples |
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