Longitudinal Assessment of Multiple Sclerosis with the Brain‐Age Paradigm

Objective During the natural course of multiple sclerosis (MS), the brain is exposed to aging as well as disease effects. Brain aging can be modeled statistically; the so‐called “brain‐age” paradigm. Here, we evaluated whether brain‐predicted age difference (brain‐PAD) was sensitive to the presence...

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Veröffentlicht in:	Annals of neurology Jg. 88; H. 1; S. 93 - 105
Hauptverfasser:	Cole PhD, James H., Raffel MD, Joel, Friede PhD, Tim, Eshaghi MD, PhD, Arman, Brownlee PhD, FRACP, Wallace J., Chard MD, PhD, Declan, De Stefano MD, PhD, Nicola, Enzinger MD, Christian, Pirpamer MSc, Lukas, Filippi MD, FEAN, Massimo, Gasperini MD, Claudio, Rocca MD, Maria Assunta, Rovira MD, Alex, Ruggieri MD, Serena, Sastre‐Garriga MD, PhD, Jaume, Stromillo MD, PhD, Maria Laura, Uitdehaag MD, PhD, Bernard M. J., Vrenken PhD, Hugo, Barkhof MD PhD, Frederik, Nicholas MD, PhD, Richard, Ciccarelli PhD, FRCP, Olga
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 01.07.2020 Wiley Subscription Services, Inc
Schlagworte:	Adolescent Adult Age Aged Aging Aging (natural) Aging - pathology Atrophy Atrophy - diagnostic imaging Atrophy - pathology Biomarkers Brain Brain - diagnostic imaging Brain - pathology Confidence intervals Demyelinating Diseases - diagnostic imaging Demyelinating Diseases - pathology Disability Evaluation Disease control Disease Progression Female Humans Longitudinal Studies Magnetic resonance imaging Male Middle Aged Multiple sclerosis Multiple Sclerosis - diagnostic imaging Multiple Sclerosis - pathology Neuroimaging Young Adult
ISSN:	0364-5134, 1531-8249, 1531-8249
Online-Zugang:	Volltext
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