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首页> 外文期刊>Frontiers in Human Neuroscience >Behavioral Experience-Sampling Methods in Neuroimaging Studies With Movie and Narrative Stimuli
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Behavioral Experience-Sampling Methods in Neuroimaging Studies With Movie and Narrative Stimuli

机译:与电影和叙事刺激的神经影像学研究中的行为体验 - 抽样方法

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Movies and narratives are increasingly utilized as stimuli in functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG), and electroencephalography (EEG) studies. Emotional reactions of subjects, what they pay attention to, what they memorize, and their cognitive interpretations are all examples of inner experiences that can differ between subjects during watching of movies and listening to narratives inside the scanner. Here, we review literature indicating that behavioral measures of inner experiences play an integral role in this new research paradigm via guiding neuroimaging analysis. We review behavioral methods that have been developed to sample inner experiences during watching of movies and listening to narratives. We also review approaches that allow for joint analyses of the behaviorally sampled inner experiences and neuroimaging data. We suggest that building neurophenomenological frameworks holds potential for solving the interrelationships between inner experiences and their neural underpinnings. Finally, we tentatively suggest that recent developments in machine learning approaches may pave way for inferring different classes of inner experiences directly from the neuroimaging data, thus potentially complementing the behavioral self-reports.
机译:电影和叙述越来越多地用于功能磁共振成像(FMRI),磁性脑图(MEG)和脑电图(EEG)研究中的刺激。主题的情绪反应,他们注意什么,他们记忆的是什么,以及他们的认知解释是内部经验的例子,这些内部经验可能在看电影期间的科目与扫描仪中的叙述者倾听叙述。在这里,我们审查了内部经验的行为措施的文献在这种新的研究范式中通过引导神经影像分析分析发挥了积分作用。我们审查了在观看电影期间制定内部经验并聆听叙述的行为方法。我们还审查了允许联合分析行为上采样的内部经验和神经影像数据的方法。我们建议建立神经胶质素框架,以解决内部经验与神经内衬之间的相互关系的潜力。最后,我们暂时表明,机器学习方法的最新发展可以铺平道路直接从神经影像数据推断出不同类别的内部体验,从而潜在地补充行为自我报告。

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