Haas Shalaila S, Ge Ruiyang, Sanford Nicole, Modabbernia Amirhossein, Reichenberg Abraham, Whalley Heather C, Kahn René S, Frangou Sophia
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, United States.
Department of Psychiatry, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada.
Front Psychiatry. 2022 Jun 22;13:913470. doi: 10.3389/fpsyt.2022.913470. eCollection 2022.
Accelerated aging has been proposed as a mechanism underlying the clinical and cognitive presentation of schizophrenia. The current study extends the field by examining both global and regional patterns of brain aging in schizophrenia, as inferred from brain structural data, and their association with cognitive and psychotic symptoms.
Global and local brain-age-gap-estimates (G-brainAGE and L-brainAGE) were computed using a U-Net Model from T-weighted structural neuroimaging data from 84 patients (aged 16-35 years) with early-stage schizophrenia (illness duration <5 years) and 1,169 healthy individuals (aged 16-37 years). Multidomain cognitive data from the patient sample were submitted to Heterogeneity through Discriminative Analysis (HYDRA) to identify cognitive clusters.
HYDRA classified patients into a cognitively impaired cluster ( = 69) and a cognitively spared cluster ( = 15). Compared to healthy individuals, G-brainAGE was significantly higher in the cognitively impaired cluster (+11.08 years) who also showed widespread elevation in L-brainAGE, with the highest deviance observed in frontal and temporal regions. The cognitively spared cluster showed a moderate increase in G-brainAGE (+8.94 years), and higher L-brainAGE localized in the anterior cingulate cortex. Psychotic symptom severity in both clusters showed a positive but non-significant association with G-brainAGE.
Accelerated aging in schizophrenia can be detected at the early disease stages and appears more closely associated with cognitive dysfunction rather than clinical symptoms. Future studies replicating our findings in multi-site cohorts with larger numbers of participants are warranted.
加速衰老被认为是精神分裂症临床和认知表现的潜在机制。本研究通过检查精神分裂症患者脑衰老的整体和区域模式(从脑结构数据推断)及其与认知和精神症状的关联,扩展了该领域的研究。
使用U-Net模型,根据84例早期精神分裂症患者(年龄16 - 35岁,病程<5年)和1169名健康个体(年龄16 - 37岁)的T加权结构神经影像数据,计算整体和局部脑龄差距估计值(G-brainAGE和L-brainAGE)。将患者样本的多领域认知数据提交给判别分析异质性(HYDRA)以识别认知集群。
HYDRA将患者分为认知受损集群(n = 69)和认知未受损集群(n = 15)。与健康个体相比,认知受损集群的G-brainAGE显著更高(+11.08岁),该集群的L-brainAGE也普遍升高,在额叶和颞叶区域观察到最高偏差。认知未受损集群的G-brainAGE有中度增加(+8.94岁),较高的L-brainAGE定位于前扣带回皮质。两个集群的精神症状严重程度与G-brainAGE均呈正相关但不显著。
在疾病早期阶段即可检测到精神分裂症患者的加速衰老,且似乎与认知功能障碍而非临床症状更密切相关。有必要开展未来研究,在更多参与者的多中心队列中重复我们的发现。