Multimodal imaging improves brain age prediction and reveals distinct abnormalities in patients with psychiatric and neurological disorders

The deviation between chronological age and age predicted using brain MRI is a putative marker of overall brain health. Age prediction based on structural MRI data shows high accuracy in common brain disorders. However, brain aging is complex and heterogenous, both in terms of individual differences...

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Veröffentlicht in:	Human brain mapping 2021-04, Vol.42 (6), p.1714-1726
Hauptverfasser:	Rokicki, Jaroslav, Wolfers, Thomas, Nordhøy, Wibeke, Tesli, Natalia, Quintana, Daniel S., Alnæs, Dag, Richard, Genevieve, Lange, Ann‐Marie G., Lund, Martina J., Norbom, Linn, Agartz, Ingrid, Melle, Ingrid, Nærland, Terje, Selbæk, Geir, Persson, Karin, Nordvik, Jan Egil, Schwarz, Emanuel, Andreassen, Ole A., Kaufmann, Tobias, Westlye, Lars T.
Format:	Artikel
Sprache:	eng
Schlagworte:	Abnormalities Accuracy Adolescent Adult Age Age Factors Aged Aged, 80 and over Aging Alzheimer Disease - diagnostic imaging Alzheimer Disease - pathology Alzheimer's disease arterial spin labeling Biological activity Bipolar disorder Bipolar Disorder - diagnostic imaging Bipolar Disorder - pathology Blood flow Brain Brain - blood supply Brain - diagnostic imaging Brain - pathology brain age brain disorders Brain mapping Case-Control Studies Cerebral blood flow Cerebrovascular Circulation - physiology Cognitive ability Cognitive Dysfunction - diagnostic imaging Cognitive Dysfunction - pathology Deviation Female Humans machine learning Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Medicin och hälsovetenskap Mental disorders Middle Aged MRI Multimodal Imaging Neurodegenerative diseases Neuroimaging Neuroimaging - methods Neurological diseases Neurological disorders Predictions Schizophrenia Schizophrenia - diagnostic imaging Schizophrenia - pathology Spin labeling Spin Labels T1w/T2w ratio Young Adult
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