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Published, Version of Record (VoR)CC BY-NC V4.0, Open
Journal article
Pitfalls in brain age analyses
Human brain mapping, v 42(13), pp 4092-4101
Sep 2021
PMID: 34190372
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Over the past decade, there has been an abundance of research on the difference between age and age predicted using brain features, which is commonly referred to as the "brain age gap." Researchers have identified that the brain age gap, as a linear transformation of an out-of-sample residual, is dependent on age. As such, any group differences on the brain age gap could simply be due to group differences on age. To mitigate the brain age gap's dependence on age, it has been proposed that age be regressed out of the brain age gap. If this modified brain age gap is treated as a corrected deviation from age, model accuracy statistics such as R
will be artificially inflated to the extent that it is highly improbable that an R
value below .85 will be obtained no matter the true model accuracy. Given the limitations of proposed brain age analyses, further theoretical work is warranted to determine the best way to quantify deviation from normality.
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Details
- Title
- Pitfalls in brain age analyses
- Creators
- Ellyn R Butler - University of PennsylvaniaAndrew Chen - University of PennsylvaniaRabie Ramadan - Temple UniversityTrang T Le - University of PennsylvaniaKosha Ruparel - University of PennsylvaniaTyler M Moore - University of PennsylvaniaTheodore D Satterthwaite - University of PennsylvaniaFengqing Zhang - Drexel UniversityHaochang Shou - University of PennsylvaniaRuben C Gur - University of PennsylvaniaThomas E Nichols - Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.Russell T Shinohara - University of Pennsylvania
- Publication Details
- Human brain mapping, v 42(13), pp 4092-4101
- Publisher
- Wiley
- Grant note
- NS060910 / NINDS NIH HHS R01 NS060910 / NINDS NIH HHS MH123550 / NIMH NIH HHS R01 NS112274 / NINDS NIH HHS R01 MH119219 / NIMH NIH HHS MH119219 / NIMH NIH HHS R01 MH123550 / NIMH NIH HHS NS112274 / NINDS NIH HHS R01 MH107235 / NIMH NIH HHS R01 MH117014 / NIMH NIH HHS MH117014 / NIMH NIH HHS MH112847 / NIMH NIH HHS R01 MH112847 / NIMH NIH HHS MH107235 / NIMH NIH HHS S10 OD023495 / NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:000668191700001
- Scopus ID
- 2-s2.0-85109141655
- Other Identifier
- 991019169639804721
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Neuroimaging
- Neurosciences
- Radiology, Nuclear Medicine & Medical Imaging