The metacontrol of event segmentation—A neurophysiological and behavioral perspective

IF 3.5 2区 医学 Q1 NEUROIMAGING Human Brain Mapping Pub Date : 2024-07-30 DOI:10.1002/hbm.26727
Xianzhen Zhou, Foroogh Ghorbani, Veit Roessner, Bernhard Hommel, Astrid Prochnow, Christian Beste
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Abstract

During our everyday life, the constant flow of information is divided into discrete events, a process conceptualized in Event Segmentation Theory (EST). How people perform event segmentation and the resulting granularity of encapsulated segments likely depends on their metacontrol style. Yet, the underlying neural mechanisms remain undetermined. The current study examines how the metacontrol style affects event segmentation through the analysis of EEG data using multivariate pattern analysis (MVPA) and source localization analysis. We instructed two groups of healthy participants to either segment a movie as fine-grained as possible (fine-grain group) or provided no such instruction (free-segmentation group). The fine-grain group showed more segments and a higher likelihood to set event boundaries upon scene changes, which supports the notion that cognitive control influences segmentation granularity. On a neural level, representational dynamics were decodable 400 ms prior to the decision to close a segment and open a new one, and especially fronto-polar regions (BA10) were associated with this representational dynamic. Groups differed in their use of this representational dynamics to guide behavior and there was a higher sensitivity to incoming information in the Fine-grain group. Moreover, a higher likelihood to set event boundaries was reflected by activity increases in the insular cortex suggesting an increased monitoring of potentially relevant upcoming events. The study connects the EST with the metacontrol framework and relates these to overarching neural concepts of prefrontal cortex function.

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事件分割的元控制--神经生理学和行为学视角。
在我们的日常生活中,源源不断的信息流会被分割成离散的事件,这一过程在事件分割理论(EST)中得到了概念化。人们如何进行事件分割以及由此产生的封装片段的粒度可能取决于他们的元控制风格。然而,其背后的神经机制仍未确定。本研究通过使用多变量模式分析(MVPA)和源定位分析对脑电图数据进行分析,研究元控制风格如何影响事件分割。我们指导两组健康参与者对一部电影进行尽可能细粒度的分割(细粒度组),或不提供此类指导(自由分割组)。细粒度组显示出更多的分割,并且在场景变化时设置事件边界的可能性更高,这支持了认知控制影响分割粒度的观点。在神经层面上,在决定关闭一个片段并打开一个新片段之前的 400 毫秒,表征动态是可以解码的,尤其是前极区(BA10)与这种表征动态相关。各组在利用这种表征动态来指导行为方面存在差异,细粒度组对传入信息的敏感度更高。此外,岛叶皮层活动的增加也反映了设定事件界限的可能性更高,这表明他们对潜在相关的即将发生的事件的监控增强了。该研究将EST与元控制框架联系起来,并将其与前额叶皮层功能的总体神经概念联系起来。
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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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