Resting-state EEG microstates predict mentalizing ability as assessed by the Reading the Mind in the Eyes test

IF 2.5 3区 心理学 Q3 NEUROSCIENCES
Giuseppe A. Carbone , Aurelia Lo Presti , Benedetto Farina , Mauro Adenzato , Rita B. Ardito , Claudio Imperatori
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Abstract

Microstates analysis of electroencephalography (EEG) has gained increasing attention among researchers and clinicians as a valid tool for investigating temporal dynamics of large-scale brain networks with a millisecond time resolution. Although microstates analysis has been widely applied to elucidate the neurophysiological basis of various cognitive functions in both clinical and non-clinical samples, its application in relation to socio-affective processing has been relatively under-researched. Therefore, the main aim of the current study was to investigate the relationship between EEG microstates and mentalizing (i.e., the ability to understand the mental states of others). Eighty-two participants (thirty-six men; mean age: 24.28 ± 7.35 years; mean years of education: 15.82 ± 1.77) underwent a resting-state EEG recording and performed the Reading the Mind in the Eyes Test (RMET). The parameters of the microstates were then calculated using Cartool v. 4.09 software. Our results showed that the occurrence of microstate map C was independently and positively associated with the RMET total score and contributed to the prediction of mentalizing performance, even when controlling for potential confounding variables (i.e., age, sex, education level, tobacco and alcohol use). Since microstate C is involved in self-related processes, our findings may reflect the link between self-awareness of one's own thoughts/feelings and the enhanced ability to recognize the mental states of others at the neurophysiological level. This finding extends the functions traditionally attributed to microstate C, i.e. mind-wandering, self-related thoughts, prosociality, and emotional and interoceptive processing, to include mentalizing ability.

静息态脑电图微观状态可预测通过 "读心术 "测试评估的思维能力
脑电图(EEG)微状态分析作为一种以毫秒级时间分辨率研究大规模大脑网络时间动态的有效工具,越来越受到研究人员和临床医生的关注。尽管微观状态分析已被广泛应用于阐明临床和非临床样本中各种认知功能的神经生理学基础,但其在社会情感处理方面的应用研究却相对不足。因此,本研究的主要目的是探讨脑电图微观状态与心理化(即理解他人心理状态的能力)之间的关系。八十二名参与者(三十六名男性;平均年龄:24.28 ± 7.35 岁;平均受教育年限:15.82 ± 1.77)参加了本次研究:82 名参与者(36 名男性;平均年龄:24.28 ± 7.35 岁;平均受教育年限:15.82 ± 1.77)接受了静息状态脑电图记录,并进行了 "眼中读心 "测试(RMET)。然后使用 Cartool v. 4.09 软件计算微状态参数。我们的研究结果表明,即使控制了潜在的混杂变量(即年龄、性别、教育水平、吸烟和酗酒),微状态图 C 的出现仍与 RMET 总分呈独立的正相关,并有助于预测思维能力的表现。由于微状态 C 参与了与自我相关的过程,我们的研究结果可能反映了对自身想法/感觉的自我意识与在神经生理水平上识别他人心理状态的能力增强之间的联系。这一发现将传统上归因于微态 C 的功能(即思想游荡、与自我相关的想法、亲社会性、情绪和感知间处理)扩展到了心智化能力。
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来源期刊
CiteScore
5.40
自引率
10.00%
发文量
177
审稿时长
3-8 weeks
期刊介绍: The International Journal of Psychophysiology is the official journal of the International Organization of Psychophysiology, and provides a respected forum for the publication of high quality original contributions on all aspects of psychophysiology. The journal is interdisciplinary and aims to integrate the neurosciences and behavioral sciences. Empirical, theoretical, and review articles are encouraged in the following areas: • Cerebral psychophysiology: including functional brain mapping and neuroimaging with Event-Related Potentials (ERPs), Positron Emission Tomography (PET), Functional Magnetic Resonance Imaging (fMRI) and Electroencephalographic studies. • Autonomic functions: including bilateral electrodermal activity, pupillometry and blood volume changes. • Cardiovascular Psychophysiology:including studies of blood pressure, cardiac functioning and respiration. • Somatic psychophysiology: including muscle activity, eye movements and eye blinks.
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