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向精神病转化前的语义流畅性缺陷和灰质减少:一项基于体素的相关性分析。

Semantic fluency deficits and reduced grey matter before transition to psychosis: a voxelwise correlational analysis.

机构信息

Department of Psychiatry, Academic Medical Centre, Amsterdam, the Netherlands.

出版信息

Psychiatry Res. 2011 Oct 31;194(1):1-6. doi: 10.1016/j.pscychresns.2011.01.004. Epub 2011 Aug 9.

Abstract

Early identification of subjects with an increased risk of psychosis is necessary to develop interventions to delay or prevent disease onset. We recently reported that decreased semantic verbal fluency performance in ultra high risk (UHR) subjects predicts the development of psychosis (Becker et al., 2010). The present study investigated whether semantic and verbal fluency scores correlate with grey matter density in UHR subjects. Thirty-seven UHR subjects underwent structural MRI scanning and verbal fluency assessment after which they were followed up for 2 years. Using voxel-based morphometry, we investigated whether grey matter density correlated with verbal fluency scores in 10 UHR subjects who developed psychosis during follow-up and 27 UHR subjects who did not develop psychosis. In UHR subjects developing psychosis, lower semantic fluency scores correlated significantly with reduced grey matter density in the right superior and middle temporal gyrus, the right insula, and the left anterior cingulate cortex. This study shows that a correlation between semantic fluency performance and grey matter density in task-related areas can differentiate between UHR subjects who subsequently will develop psychosis and those who will not. Combining these two measures could improve psychosis prediction in UHR subjects.

摘要

早期识别有精神病风险增加的受试者对于开发干预措施以延迟或预防疾病发作是必要的。我们最近报告称,超高危 (UHR) 受试者的语义流畅性表现下降可预测精神病的发展 (Becker 等人,2010 年)。本研究探讨了 UHR 受试者的语义和语言流畅性评分是否与灰质密度相关。37 名 UHR 受试者接受了结构磁共振成像扫描和语言流畅性评估,之后对他们进行了 2 年的随访。使用基于体素的形态计量学,我们调查了在随访期间发展为精神病的 10 名 UHR 受试者和未发展为精神病的 27 名 UHR 受试者中,灰质密度是否与语言流畅性评分相关。在发展为精神病的 UHR 受试者中,较低的语义流畅性得分与右侧上颞叶、中颞叶、右侧岛叶和左前扣带皮质的灰质密度降低显著相关。这项研究表明,语义流畅性表现与任务相关区域的灰质密度之间的相关性可以区分随后将发展为精神病和不会发展为精神病的 UHR 受试者。结合这两种措施可以提高 UHR 受试者的精神病预测能力。

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