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[精神分裂症认知、眼球运动和言语参数的网络分析]

[Network analysis of cognitive, oculomotor and speech parameters in schizophrenia].

作者信息

Shmukler A B, Kosytuk G P, Latanov A V, Sidorova M Yu, Anisimov V N, Zakharova N V, Karyakina M V, Reznik A M, Sokolov A V, Spektor V A, Sukhachevskii I S, Churikova M A

机构信息

Serbsky National Medical Research Center of Psychiatry and Narcology, Moscow, Russia.

Alekseev Psychiatric Clinical Hospital No. 1, Moscow, Russia.

出版信息

Zh Nevrol Psikhiatr Im S S Korsakova. 2020;120(6. Vyp. 2):54-60. doi: 10.17116/jnevro202012006254.

Abstract

OBJECTIVE

To determine the network connections between clinical, cognitive, speech and oculographic parameters in patients with schizophrenia.

MATERIAL AND METHODS

The study included 104 patients with schizophrenia and schizophrenia spectrum disorders and 70 healthy subjects. Clinical assessment of the patients was performed using a number of scales: PANSS, CDSS, YMRS, SAS and BAS. Basic cognitive functions were assessed by BACS. Eye movements were recorded using the SMI RED-500 non-invasive eye tracking system. Several experimental paradigms were used - free viewing of animal images with subsequent description of these images, performing progressive saccades in the experimental Go/NoGo scheme, and performing anti-saccades.

RESULTS

The severity of clinical symptoms, cognitive impairments, oculomotor parameters and characteristics of speech structure of written speech are largely independent, although not completely isolated from each other. Cognitive and oculomotor parameters have the largest number of connections. In this case, the results of cognitive tests are the central element of the «network» that connects other groups.

CONCLUSION

Further development of the approach should be aimed at studying the influence of node changes on the structure of the network that would potentially allows the identification of the most effective points of application of therapeutic and rehabilitation programs.

摘要

目的

确定精神分裂症患者临床、认知、言语和眼动参数之间的网络联系。

材料与方法

该研究纳入了104例精神分裂症及精神分裂症谱系障碍患者和70名健康受试者。使用多种量表对患者进行临床评估:阳性和阴性症状量表(PANSS)、临床总体印象量表(CDSS)、杨氏躁狂评定量表(YMRS)、焦虑自评量表(SAS)和简明心境量表(BAS)。通过剑桥神经心理测试自动化成套系统(BACS)评估基本认知功能。使用SMI RED-500非侵入性眼动追踪系统记录眼动。采用了几种实验范式——自由观看动物图像并随后描述这些图像、在实验性的“是/否”方案中进行渐进性扫视以及进行反扫视。

结果

临床症状的严重程度、认知障碍、眼动参数和书面言语的言语结构特征在很大程度上是独立的,尽管并非完全相互孤立。认知和眼动参数之间的联系最多。在这种情况下,认知测试结果是连接其他组的“网络”的核心要素。

结论

该方法的进一步发展应旨在研究节点变化对网络结构的影响,这可能有助于确定治疗和康复计划的最有效应用点。

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