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. 2017 Aug 30:266:86-89.
doi: 10.1016/j.pscychresns.2017.05.006. Epub 2017 May 24.

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

Igor Nenadić  1 , Maren Dietzek  2 , Kerstin Langbein  2 , Heinrich Sauer  2 , Christian Gaser  3
Affiliations

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

Igor Nenadić et al. Psychiatry Res Neuroimaging. .

Abstract

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.

Keywords: Aging; Bipolar disorder; BrainAGE score; Machine learning; Magnetic Resonance Imaging (MRI); Psychosis; Schizophrenia.

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