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通过探索经颅直流电刺激(tDCS)对源监测能力的影响来管理幻觉的创新策略。

Innovative strategies for managing hallucinations by exploring effects of tDCS on source monitoring abilities.

作者信息

Sharma Gaurav, Chitturi Vinay, Sharma Vivek Kumar, Kathrotia Rajesh, Barde Pradip, Parmar Naresh, Sharma Medhavi, Singh Ragini D

机构信息

Department of Physiology, All India Institute of Medical Sciences, Rajkot, Gujarat, India.

Department of Obstetrics and Gynaecology, All India Institute of Medical Sciences, Rajkot, Gujarat, India.

出版信息

Sci Rep. 2024 Jul 17;14(1):16569. doi: 10.1038/s41598-024-67279-0.

Abstract

This randomised, crossover, sham-controlled study explored the neural basis of source-monitoring, a crucial cognitive process implicated in schizophrenia. Left superior temporal gyrus (STG) and dorsolateral prefrontal cortex (DLPFC) were the key focus areas. Thirty participants without neurological or psychological disorders underwent offline sham and active tDCS sessions with specific electrode montage targeting the left STG and DLPFC. Source-monitoring tasks, reality monitoring (Hear-Imagine), internal source-monitoring (Say-Imagine), and external source monitoring (Virtual-Real) were administered. Paired t-test and estimation statistics was performed with Graphpad version 10.1.0. The Benjamini-Hochberg procedure was employed to control the false discovery rate in multiple hypothesis testing. A significant improvement in internal source monitoring tasks (p = 0.001, Cohen's d = 0.97) was observed, but reality monitoring tasks demonstrated moderate improvement (p = 0.02, Cohen's d = 0.44). The study provides insights into the neural mechanisms of source monitoring in healthy individuals and proposes tDCS as a therapeutic intervention, laying the foundation for future studies to refine tDCS protocols and develop individualized approaches to address source monitoring deficits in schizophrenia.

摘要

这项随机、交叉、假对照研究探索了源监测的神经基础,源监测是精神分裂症中涉及的一个关键认知过程。左颞上回(STG)和背外侧前额叶皮层(DLPFC)是关键的重点区域。30名没有神经或心理障碍的参与者接受了离线假刺激和有源经颅直流电刺激(tDCS)疗程,采用特定的电极组合,靶向左STG和DLPFC。进行了源监测任务,包括现实监测(听-想象)、内部源监测(说-想象)和外部源监测(虚拟-现实)。使用Graphpad 10.1.0版本进行配对t检验和估计统计。采用Benjamini-Hochberg程序控制多重假设检验中的错误发现率。观察到内部源监测任务有显著改善(p = 0.001,科恩d值 = 0.97),但现实监测任务显示出中等程度的改善(p = 0.02,科恩d值 = 0.44)。该研究为健康个体源监测的神经机制提供了见解,并提出tDCS作为一种治疗干预措施,为未来研究完善tDCS方案和开发个性化方法以解决精神分裂症中的源监测缺陷奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b30c/11254933/b2a45517d434/41598_2024_67279_Fig1_HTML.jpg

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