BrainAGE score indicates accelerated brain aging in schizophrenia, but not bipolar disorder

BrainAGE (brain age gap estimation) is a novel morphometric parameter providing a univariate score derived from multivariate voxel-wise analyses. It uses a machine learning approach and can be used to analyse deviation from physiological developmental or aging-related trajectories. Using structural...

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Published inPsychiatry research. Neuroimaging Vol. 266; pp. 86 - 89
Main Authors Nenadić, Igor, Dietzek, Maren, Langbein, Kerstin, Sauer, Heinrich, Gaser, Christian
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 30.08.2017
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Summary:BrainAGE (brain age gap estimation) is a novel morphometric parameter providing a univariate score derived from multivariate voxel-wise analyses. It uses a machine learning approach and can be used to analyse deviation from physiological developmental or aging-related trajectories. Using structural MRI data and BrainAGE quantification of acceleration or deceleration of in individual aging, we analysed data from 45 schizophrenia patients, 22 bipolar I disorder patients (mostly with previous psychotic symptoms / episodes), and 70 healthy controls. We found significantly higher BrainAGE scores in schizophrenia, but not bipolar disorder patients. Our findings indicate significantly accelerated brain structural aging in schizophrenia. This suggests, that despite the conceptualisation of schizophrenia as a neurodevelopmental disorder, there might be an additional progressive pathogenic component. •BrainAGE score is a novel indicator for accelerated aging.•We found elevated BrainAGE score in schizophrenia, but not bipolar disorder.•Schizophrenia might involve a progressive brain structural process.
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ISSN:0925-4927
1872-7506
1872-7506
DOI:10.1016/j.pscychresns.2017.05.006