全局功能连接性与心灵漫游舒适域有关。

IF 2.3 3区 医学 Q3 CLINICAL NEUROLOGY
Brain Topography Pub Date : 2024-09-01 Epub Date: 2024-03-02 DOI:10.1007/s10548-024-01042-6
Povilas Tarailis, Dovilė Šimkutė, Inga Griškova-Bulanova
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引用次数: 0

摘要

静息状态范式经常被用于研究正常和临床情况下大脑的自发活动。为了评估大脑活动与主观体验之间的关系,人们使用了各种问卷。以往使用阿姆斯特丹静息状态问卷的研究主要集中在 fMRI 功能连接或 EEG 微态和频谱方面。在这里,我们利用全局场同步作为参数来估算全局功能连通性。通过重新分析 226 名年轻健康参与者的静息态数据,我们发现 ARSQ 舒适域与阿尔法频率范围内的全局场同步值之间存在密切关系(r = 0.210,BF10 = 12.338),并且有大量证据表明 ARSQ 舒适域与β频率范围内的全局场同步值之间存在正相关关系(r = 196,BF10 = 6.307)。我们的研究表明,对静息状态下的自发思维进行评估对于了解个人内在脑电活动具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Global Functional Connectivity is Associated with Mind Wandering Domain of Comfort.

Global Functional Connectivity is Associated with Mind Wandering Domain of Comfort.

The resting-state paradigm is frequently applied to study spontaneous activity of the brain in normal and clinical conditions. To assess the relationship between brain activity and subjective experiences, various questionnaires are used. Previous studies using Amsterdam Resting State Questionnaire were focusing on fMRI functional connectivity or EEG microstates and spectral aspect. Here, we utilized Global Field Synchronization as the parameter to estimate global functional connectivity. By re-analyzing the resting-state data from 226 young healthy participants we showed a strong evidence of relationship between ARSQ domain of Comfort and GFS values in the alpha range (r = 0.210, BF10 = 12.338) and substantial evidence for positive relationship between ARSQ domain of Comfort and GFS in the beta frequency range (r = 196, BF10 = 6.307). Our study indicates the relevance of assessments of spontaneous thought occurring during the resting-state for the understanding of the individual intrinsic electrical brain activity.

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来源期刊
Brain Topography
Brain Topography 医学-临床神经学
CiteScore
4.70
自引率
7.40%
发文量
41
审稿时长
3 months
期刊介绍: Brain Topography publishes clinical and basic research on cognitive neuroscience and functional neurophysiology using the full range of imaging techniques including EEG, MEG, fMRI, TMS, diffusion imaging, spectroscopy, intracranial recordings, lesion studies, and related methods. Submissions combining multiple techniques are particularly encouraged, as well as reports of new and innovative methodologies.
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