Neural Predictors of Fear Depend on the Situation.

IF 4.4 2区 医学 Q1 NEUROSCIENCES Journal of Neuroscience Pub Date : 2024-11-13 DOI:10.1523/JNEUROSCI.0142-23.2024
Yiyu Wang, Philip A Kragel, Ajay B Satpute
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Abstract

The extent to which neural representations of fear experience depend on or generalize across the situational context has remained unclear. We systematically manipulated variation within and across three distinct fear-evocative situations including fear of heights, spiders, and social threats. Participants (n = 21; 10 females and 11 males) viewed ∼20 s clips depicting spiders, heights, or social encounters and rated fear after each video. Searchlight multivoxel pattern analysis was used to identify whether and which brain regions carry information that predicts fear experience and the degree to which the fear-predictive neural codes in these areas depend on or generalize across the situations. The overwhelming majority of brain regions carrying information about fear did so in a situation-dependent manner. These findings suggest that local neural representations of fear experience are unlikely to involve a singular pattern but rather a collection of multiple heterogeneous brain states.

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神经对恐惧的预测取决于具体情况。
恐惧体验的神经表征在多大程度上依赖于情境或在多大程度上泛化于情境,目前仍不清楚。我们对三种不同的恐惧诱发情境(包括恐高、蜘蛛和社会威胁)内部和之间的变化进行了系统化处理。参与者(n=21,10 名女性和 11 名男性)观看了 20 秒左右的蜘蛛、高处或社交场合的视频短片,并在每段视频后对恐惧感进行评分。研究人员使用探照灯多象素模式分析(MVPA)来确定是否有哪些脑区携带有预测恐惧体验的信息,以及这些脑区的恐惧预测神经代码在多大程度上依赖于不同的情境或在不同情境中具有普遍性。绝大多数携带恐惧信息的脑区都是以依赖情境的方式携带恐惧信息的。这些研究结果表明,恐惧体验的局部神经表征不太可能是一种单一的模式,而是多种异质大脑状态的集合。我们在此提供的证据表明,最近的恐惧神经特征中广泛分布的激活模式反映了功能异质的大脑状态的组合。受试者完成了一项新颖的 fMRI 任务,该任务参数化地检查了三种内容丰富的自然情境中和情境间的主观恐惧:恐高、蜘蛛和社会威胁。利用探照灯分析和机器学习方法,我们发现绝大多数预测恐惧的脑区只在特定情况下预测恐惧。这些发现对跨物种恐惧研究结果的推广、恐惧和焦虑的转化模型以及恐惧神经特征的开发具有重要意义。
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来源期刊
Journal of Neuroscience
Journal of Neuroscience 医学-神经科学
CiteScore
9.30
自引率
3.80%
发文量
1164
审稿时长
12 months
期刊介绍: JNeurosci (ISSN 0270-6474) is an official journal of the Society for Neuroscience. It is published weekly by the Society, fifty weeks a year, one volume a year. JNeurosci publishes papers on a broad range of topics of general interest to those working on the nervous system. Authors now have an Open Choice option for their published articles
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