Resting-state BOLD temporal variability of the default mode network predicts spontaneous mind wandering, which is negatively associated with mindfulness skills.

IF 2.7 3区 医学 Q3 NEUROSCIENCES Frontiers in Human Neuroscience Pub Date : 2025-01-22 eCollection Date: 2025-01-01 DOI:10.3389/fnhum.2025.1515902
Sara Sorella, Cristiano Crescentini, Alessio Matiz, Minah Chang, Alessandro Grecucci
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Abstract

Mind wandering (MW) encompasses both a deliberate and a spontaneous disengagement of attention from the immediate external environment to unrelated internal thoughts. Importantly, MW has been suggested to have an inverse relationship with mindfulness, a state of nonjudgmental awareness of present-moment experience. Although they are, respectively, associated with increased and decreased activity in the default mode network (DMN), the specific contributions of deliberate and spontaneous MW, and their relationships with mindfulness abilities and resting-state macro networks remain to be elucidated. Therefore, resting-state MRI scans from 76 participants were analyzed with group independent component analysis to decompose brain networks into independent macro-networks and to see which of them predicted specific aspects of spontaneous and deliberate MW or mindfulness traits. Our results show that temporal variability of the resting-state DMN predicts spontaneous MW, which in turn is negatively associated with the acting with awareness facet of mindfulness. This finding shows that the DMN is not directly associated with overall mindfulness, but rather demonstrates that there exists a close relationship between DMN and MW, and furthermore, that the involvement of mindfulness abilities in this dynamic may be secondary. In sum, our study contributes to a better understanding of the neural bases of spontaneous MW and its relationship with mindfulness. These results open up the possibility of intervening on specific aspects of our cognitive abilities: for example, our data suggest that training the mindfulness facet acting with awareness would allow lessening our tendency for MW at inopportune times.

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静息状态BOLD默认模式网络的时间变异性预测自发的思维漫游,这与正念技能负相关。
走神(MW)包括有意和自发地将注意力从直接的外部环境转移到不相关的内部思想中。重要的是,研究表明,MW与正念呈反比关系,正念是一种对当下体验的非判断意识状态。虽然它们分别与默认模式网络(DMN)活动的增加和减少有关,但有意和自发的MW的具体贡献及其与正念能力和静息状态宏观网络的关系仍有待阐明。因此,对76名参与者的静息状态MRI扫描进行了分组独立成分分析,将大脑网络分解为独立的宏观网络,并观察哪些网络预测了自发和故意的MW或正念特征的特定方面。我们的研究结果表明,静息状态DMN的时间变异性预测自发性MW,这反过来又与正念的意识方面的行为负相关。这一发现表明DMN与整体正念并不直接相关,而是表明DMN与MW之间存在着密切的关系,而且正念能力在这一动态中的参与可能是次要的。总之,我们的研究有助于更好地理解自发性记忆的神经基础及其与正念的关系。这些结果为干预我们认知能力的特定方面提供了可能性:例如,我们的数据表明,训练正念方面的意识,可以减少我们在不合适的时候出现“无意识”的倾向。
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来源期刊
Frontiers in Human Neuroscience
Frontiers in Human Neuroscience 医学-神经科学
CiteScore
4.70
自引率
6.90%
发文量
830
审稿时长
2-4 weeks
期刊介绍: Frontiers in Human Neuroscience is a first-tier electronic journal devoted to understanding the brain mechanisms supporting cognitive and social behavior in humans, and how these mechanisms might be altered in disease states. The last 25 years have seen an explosive growth in both the methods and the theoretical constructs available to study the human brain. Advances in electrophysiological, neuroimaging, neuropsychological, psychophysical, neuropharmacological and computational approaches have provided key insights into the mechanisms of a broad range of human behaviors in both health and disease. Work in human neuroscience ranges from the cognitive domain, including areas such as memory, attention, language and perception to the social domain, with this last subject addressing topics, such as interpersonal interactions, social discourse and emotional regulation. How these processes unfold during development, mature in adulthood and often decline in aging, and how they are altered in a host of developmental, neurological and psychiatric disorders, has become increasingly amenable to human neuroscience research approaches. Work in human neuroscience has influenced many areas of inquiry ranging from social and cognitive psychology to economics, law and public policy. Accordingly, our journal will provide a forum for human research spanning all areas of human cognitive, social, developmental and translational neuroscience using any research approach.
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