Multivariate Pattern Analysis of Volumetric Neuroimaging Data and Its Relationship With Cognitive Function in Treated HIV Disease

BACKGROUND:Accurate prediction of longitudinal changes in cognitive function would potentially allow for targeted intervention in those at greatest risk of cognitive decline. We sought to build a multivariate model using volumetric neuroimaging data alone to accurately predict cognitive function. ME...

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Veröffentlicht in:	Journal of acquired immune deficiency syndromes (1999) 2018-08, Vol.78 (4), p.429-436
Hauptverfasser:	Underwood, Jonathan, Cole, James H, Leech, Robert, Sharp, David J, Winston, Alan
Format:	Artikel
Sprache:	eng
Schlagworte:	Acquired immune deficiency syndrome Adolescent Adult Age Aged Aged, 80 and over Aging AIDS AIDS Dementia Complex - diagnostic imaging Biostatistics Brain Cognitive ability Comorbidity Confidence intervals Female HIV HIV Infections - complications HIV Infections - drug therapy HIV Infections - pathology Human immunodeficiency virus Humans Image processing Image Processing, Computer-Assisted - methods Impairment Learning algorithms Longitudinal Studies Machine Learning Male Mathematical models Medical imaging Middle Aged Multivariate analysis Neuroimaging Neuroimaging - methods Neurology Pattern analysis Predictions Prognosis Substantia alba Young Adult
Online-Zugang:	Volltext
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