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静息态脑振荡的随机性编码了 Gray 的人格特质。

Randomness of resting-state brain oscillations encodes Gray's personality trait.

机构信息

Department of Cognitive Psychology II, Johann Wolfgang Goethe University Frankfurt/Main, Germany.

出版信息

Neuroimage. 2012 Jan 16;59(2):1842-5. doi: 10.1016/j.neuroimage.2011.08.042. Epub 2011 Aug 26.

DOI:10.1016/j.neuroimage.2011.08.042
PMID:21889990
Abstract

Randomness of functional Magnetic Resonance Imaging (fMRI) resting-state time-series has recently been used as a biomarker for numerous disorders including Alzheimer's and Parkinson's disease as well as autism. To date, however, it remains unknown whether and to what degree personality traits are associated with the randomness of resting-state temporal dynamics. To investigate this question, we estimated the Hurst exponent - a measure of the randomness of a time-series - during resting-state fMRI in brain areas previously associated with trait Impulsivity as defined in Gray's Reinforcement Sensitivity Theory of Personality in 15 healthy individuals. The Hurst exponent in the ventral striatum as well as in the orbitofrontal cortex (OFC) was significantly associated with the measure of Gray's trait Impulsivity. Specifically, more random resting-state neural dynamics corresponded to higher Impulsivity scores both in the ventral striatum (r(15)=-.71; p=.003) and the OFC (r(15)=-.81; p<.001). In summary, we provide evidence for an association between individual differences in Gray's Impulsivity and randomness in key areas of the reward system which have previously been associated with this personality trait. Based on evidence from fMRI and electroencephalographical studies, we suggest that this association might arise from resting-state fluctuations constraining task-related neural responsiveness. Thereby, we outline a potential mechanism linking randomness of resting-state dynamics and personality.

摘要

功能磁共振成像(fMRI)静息状态时间序列的随机性最近已被用作包括阿尔茨海默病和帕金森病以及自闭症在内的许多疾病的生物标志物。然而,迄今为止,尚不清楚人格特质是否以及在何种程度上与静息状态时间动力学的随机性相关。为了研究这个问题,我们在 15 名健康个体中,根据格雷的人格强化敏感性理论,在与特质冲动性相关的大脑区域中,估计了 Hurst 指数-衡量时间序列随机性的指标-在静息状态 fMRI 期间。腹侧纹状体和眶额皮层(OFC)中的 Hurst 指数与 Gray 的特质冲动性测量值显着相关。具体来说,腹侧纹状体(r(15)=-.71;p=.003)和 OFC(r(15)=-.81;p<.001)中静息状态神经动力学的随机性越高,冲动性得分越高。总之,我们提供了证据表明,个体差异在 Gray 的冲动性和奖励系统关键区域的随机性之间存在关联,这些区域先前与该人格特质相关。基于 fMRI 和脑电图研究的证据,我们认为这种关联可能源于静息状态波动限制了与任务相关的神经反应性。由此,我们概述了将静息状态动力学的随机性与人格联系起来的潜在机制。

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