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

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 st...

Full description

Saved in:
Bibliographic Details
Published in:Psychiatry research. Neuroimaging 2017-08, Vol.266, p.86-89
Main Authors: Nenadic, Igor, Dietzek, Maren, Langbein, Kerstin, Sauer, Heinrich, Gaser, Christian
Format: Article
Language:English
Subjects:
Adult
Aging
Aging - pathology
Aging, Premature - diagnostic imaging
Aging, Premature - pathology
Bipolar disorder
Bipolar Disorder - diagnostic imaging
Bipolar Disorder - pathology
Brain - diagnostic imaging
Brain - pathology
BrainAGE score
Female
Humans
Machine Learning
Magnetic Resonance Imaging
Magnetic Resonance Imaging (MRI)
Male
Middle Aged
Psychiatry
Psychosis
Psychotic Disorders - pathology
Radiology
Schizophrenia
Schizophrenia - diagnostic imaging
Schizophrenia - pathology
Young Adult
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0925-4927
1872-7506
DOI:10.1016/j.pscychresns.2017.05.006