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dc.contributor.authorTreder, Matthias Sen
dc.contributor.authorShock, Jonathan Pen
dc.contributor.authorStein, Dan Jen
dc.contributor.authordu Plessis, Stéfanen
dc.contributor.authorSeedat, Sorayaen
dc.contributor.authorTsvetanov, Kamen A.en
dc.date.accessioned2021-01-19T00:30:07Z
dc.date.available2021-01-19T00:30:07Z
dc.date.issued2021-01en
dc.identifier.issn1664-0640
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/316347
dc.description.abstractIn neuroimaging, the difference between chronological age and predicted brain age, also known as brain age delta, has been proposed as a pathology marker linked to a range of phenotypes. Brain age delta is estimated using regression, which involves a frequently observed bias due to a negative correlation between chronological age and brain age delta. In brain age prediction models, this correlation can manifest as an overprediction of the age of young brains and an underprediction for elderly ones. We show that this bias can be controlled for by adding correlation constraints to the model training procedure. We develop an analytical solution to this constrained optimization problem for Linear, Ridge, and Kernel Ridge regression. The solution is optimal in the least-squares sense i.e. there is no other model that satisfies the correlation constraints and has a better fit. Analyses on the PAC2019 competition data demonstrate that this approach produces optimal unbiased predictive models with a number of advantages over existing approaches. Finally, we introduce regression toolboxes for Python and MATLAB that implement our algorithm.
dc.description.sponsorshipBritish Academy and Guarantors of Brain
dc.format.mediumElectronic-eCollectionen
dc.languageengen
dc.publisherFrontiers Media
dc.rightsAll rights reserved
dc.rights.uri
dc.titleCorrelation Constraints for Regression Models: Controlling Bias in Brain Age Prediction.en
dc.typeArticle
prism.publicationDate2021en
prism.publicationNameFrontiers in psychiatryen
prism.startingPage615754
prism.volume12en
dc.identifier.doi10.17863/CAM.63457
dcterms.dateAccepted2021-01-04en
rioxxterms.versionofrecord10.3389/fpsyt.2021.615754en
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2021-01en
dc.contributor.orcidStein, Dan J [0000-0001-7218-7810]
dc.contributor.orcidTsvetanov, Kamen A. [0000-0002-3178-6363]
dc.identifier.eissn1664-0640
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idBritish Academy (pf160048)
pubs.funder-project-idGuarantors of Brain (Unknown)
cam.orpheus.counter7*
rioxxterms.freetoread.startdate2024-01-18


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