Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Department of Psychiatry and Psychotherapy, Philipps University Marburg & Marburg University Hospital UKGM, Marburg, Germany.
Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.
Psychiatry Res Neuroimaging. 2017 Aug 30;266:86-89. doi: 10.1016/j.pscychresns.2017.05.006. Epub 2017 May 24.
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.
脑龄差估计(BrainAGE)是一种新的形态计量参数,提供了一种基于多元体素分析的单变量分数。它使用机器学习方法,可以用于分析偏离生理发育或与年龄相关的轨迹。我们使用结构磁共振成像数据和个体老化的 BrainAGE 加速或减速量化,分析了 45 名精神分裂症患者、22 名双相 I 障碍患者(大多数有先前的精神病症状/发作)和 70 名健康对照者的数据。我们发现精神分裂症患者的 BrainAGE 评分明显更高,但双相 I 障碍患者没有。我们的研究结果表明精神分裂症患者的大脑结构老化明显加速。这表明,尽管精神分裂症被概念化为一种神经发育障碍,但可能存在额外的进行性致病因素。