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

被引:116
|
作者
Nenadic, Igor [1 ,2 ,3 ]
Dietzek, Maren [1 ]
Langbein, Kerstin [1 ]
Sauer, Heinrich [1 ]
Gaser, Christian [1 ,4 ]
机构
[1] Jena Univ Hosp, Dept Psychiat & Psychotherapy, Jena, Germany
[2] Philipps Univ Marburg, Dept Psychiat & Psychotherapy, Marburg, Germany
[3] Marburg Univ Hosp UKGM, Marburg, Germany
[4] Jena Univ Hosp, Dept Neurol, Jena, Germany
关键词
Aging; Bipolar disorder; BrainAGE score; Machine learning; Magnetic Resonance Imaging (MRI); Psychosis; Schizophrenia; PATTERN-RECOGNITION; HEALTHY CONTROLS; TELOMERE LENGTH; STRUCTURAL MRI; METAANALYSIS; AGE; SEGMENTATION; MATURATION; MODELS; IMAGES;
D O I
10.1016/j.pscychresns.2017.05.006
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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.
引用
收藏
页码:86 / 89
页数:4
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