Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatry, Oslo University Hospital, Oslo, Norway.
Neuroimage Clin. 2022;36:103181. doi: 10.1016/j.nicl.2022.103181. Epub 2022 Sep 6.
Young chronological age is one of the strongest predictors for antisocial behaviour in the general population and for violent offending in individuals with psychotic disorders. An individual's age can be predicted with high accuracy using neuroimaging and machine-learning. The deviation between predicted and chronological age, i.e., brain age gap (BAG) has been suggested to reflect brain health, likely relating partly to neurodevelopmental and aging-related processes and specific disease mechanisms. Higher BAG has been demonstrated in patients with psychotic disorders. However, little is known about the brain-age in violent offenders with psychosis and the possible associations with psychopathy traits. We estimated brain-age in 782 male individuals using T1-weighted MRI scans. Three machine learning models (random forest, extreme gradient boosting with and without hyper parameter tuning) were first trained and tested on healthy controls (HC, n = 586). The obtained BAGs were compared between HC and age matched violent offenders with psychosis (PSY-V, n = 38), violent offenders without psychosis (NPV, n = 20) and non-violent psychosis patients (PSY-NV, n = 138). We ran additional comparisons between BAG of PSY-V and PSY-NV and associations with Positive and Negative Syndrome Scale (PANSS) total score as a measure of psychosis symptoms. Psychopathy traits in the violence groups were assessed with Psychopathy Checklist-revised (PCL-R) and investigated for associations with BAG. We found significantly higher BAG in PSY-V compared with HC (4.9 years, Cohen'sd = 0.87) and in PSY-NV compared with HC (2.7 years, d = 0.41). Total PCL-R scores were negatively associated with BAG in the violence groups (d = 1.17, p < 0.05). Additionally, there was a positive association between psychosis symptoms and BAG in the psychosis groups (d = 1.12, p < 0.05). While the significant BAG differences related to psychosis and not violence suggest larger BAG for psychosis, the negative associations between BAG and psychopathy suggest a complex interplay with psychopathy traits. This proof-of-concept application of brain age prediction in severe mental disorders with a history of violence and psychopathy traits should be tested and replicated in larger samples.
年轻的实际年龄是普通人群中反社会行为和精神病患者暴力犯罪的最强预测因素之一。个体的年龄可以通过神经影像学和机器学习进行高精度预测。预测年龄与实际年龄的偏差,即大脑年龄差距(BAG),被认为反映了大脑健康,可能部分与神经发育和衰老过程以及特定的疾病机制有关。在精神病患者中,BAG 更高。然而,关于有暴力犯罪史的精神病患者的大脑年龄以及与精神病特质的可能关联知之甚少。我们使用 T1 加权 MRI 扫描对 782 名男性个体进行了大脑年龄估计。首先,在健康对照组(HC,n=586)上训练和测试了三种机器学习模型(随机森林、极端梯度增强,有无超参数调整)。将 HC 与年龄匹配的精神病暴力罪犯(PSY-V,n=38)、无精神病暴力罪犯(NPV,n=20)和非暴力精神病患者(PSY-NV,n=138)之间的 BAG 进行了比较。我们还对 PSY-V 的 BAG 与 PSY-NV 进行了比较,并与阳性和阴性综合征量表(PANSS)总分进行了关联,以作为精神病症状的衡量标准。在暴力组中,用精神病检查表修订版(PCL-R)评估了精神病特质,并研究了它们与 BAG 的关联。我们发现 PSY-V 与 HC 相比,BAG 明显更高(4.9 岁,Cohen's d=0.87),PSY-NV 与 HC 相比,BAG 也明显更高(2.7 岁,d=0.41)。暴力组的总 PCL-R 评分与 BAG 呈负相关(d=1.17,p<0.05)。此外,精神病组中精神病症状与 BAG 呈正相关(d=1.12,p<0.05)。虽然与精神病而非暴力相关的显著 BAG 差异表明精神病的 BAG 更大,但 BAG 与精神病特质之间的负相关表明了它们之间的复杂相互作用。这项对有暴力和精神病特质病史的严重精神障碍患者进行大脑年龄预测的概念验证应用,应该在更大的样本中进行测试和复制。