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Psychiatry Res Neuroimaging. 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.

Author information

1
Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Department of Psychiatry and Psychotherapy, Philipps University Marburg & Marburg University Hospital UKGM, Marburg, Germany. Electronic address: nenadic@staff.uni-marburg.de.
2
Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.
3
Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Department of Neurology, Jena University Hospital, Jena, Germany.

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

[Indexed for MEDLINE]

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