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使用高密度 EEG 的 P50 感觉门控任务、临床评估和认知测试来区分精神分裂症的疾病进展。

Discriminating schizophrenia disease progression using a P50 sensory gating task with dense-array EEG, clinical assessments, and cognitive tests.

机构信息

a School of Biological Science and Medical Engineering , Beihang University , Beijing , 100083, China.

b Beijing Advanced Innovation Center for Big Data-Based Precision Medicine , Beihang University , Beijing , 100083 , China.

出版信息

Expert Rev Neurother. 2019 May;19(5):459-470. doi: 10.1080/14737175.2019.1601558.

DOI:10.1080/14737175.2019.1601558
PMID:31111773
Abstract

BACKGROUND

Schizophrenia affects approximately 10% of the world's population. Early detection of schizophrenia may significantly delay its progression. Although sensory gating deficits are reported in schizophrenia, it remains challenging how sensory gating deficits can be used with other metrics for risk detection and early diagnosis.

RESEARCH DESIGN AND METHODS

Using EEG, the authors examined effects of sensory gating on the performance of 136 participants in a P50 sensory gating task, including patients with first-episode schizophrenia (FESZ), ultra-high risk (UHR) individuals, high-risk (HR) individuals, and age- and sex-matched healthy controls (HCs). The authors also explored the differences among all groups using clinical assessments and cognitive tests.

RESULTS

Compared with HCs, HR, UHR and FESZ groups showed significant P50 suppression impairment. Furthermore, EEG source localization analyses identified successively stronger activation in prefrontal and anterior temporal regions in the HR, UHR and FESZ groups than in the HC group. Moreover, brain connectivity (HC < HR < UHR < FESZ) in the gamma band of P50 components was increasingly enhanced in accordance with the level of psychosis risks.

CONCLUSIONS

These findings suggest that EEG source imaging techniques, brain network dynamics, and behavioral tests, can help clearly distinguish different stages of schizophrenia, and may assist in the early diagnosis of schizophrenia.

摘要

背景

精神分裂症影响了全球约 10%的人口。早期发现精神分裂症可能会显著延缓其进展。尽管有报道称精神分裂症存在感觉门控缺陷,但感觉门控缺陷如何与其他指标结合起来用于风险检测和早期诊断仍然具有挑战性。

研究设计与方法

作者使用 EEG 检查了 136 名参与者在 P50 感觉门控任务中的感觉门控效应,参与者包括首发精神分裂症(FESZ)患者、超高风险(UHR)个体、高风险(HR)个体以及年龄和性别匹配的健康对照组(HCs)。作者还使用临床评估和认知测试探索了所有组之间的差异。

结果

与 HCs 相比,HR、UHR 和 FESZ 组在 P50 抑制方面表现出明显的损伤。此外,EEG 源定位分析确定 HR、UHR 和 FESZ 组在前额和前颞区域的激活逐渐增强,而 HCs 组的激活则逐渐减弱。此外,与精神病风险水平一致,P50 成分的伽马波段的脑连接(HC<HR<UHR<FESZ)逐渐增强。

结论

这些发现表明,EEG 源成像技术、脑网络动力学和行为测试可以帮助清晰地区分精神分裂症的不同阶段,并可能有助于精神分裂症的早期诊断。

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