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 in | Psychiatry research. Neuroimaging Vol. 266; pp. 86 - 89 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier B.V
30.08.2017
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Subjects | |
Online Access | Get full text |
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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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0925-4927 1872-7506 1872-7506 |
DOI: | 10.1016/j.pscychresns.2017.05.006 |