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健康老年人中保留的神经事件分割。

Preserved neural event segmentation in healthy older adults.

机构信息

Department of Psychology, Grand Valley State University.

Department of Psychological and Brain Sciences, Washington University in St. Louis.

出版信息

Psychol Aging. 2018 Mar;33(2):232-245. doi: 10.1037/pag0000226. Epub 2018 Feb 15.

Abstract

An important feature of action understanding is that comprehenders segment the perceptual stream into events. Event segmentation dynamically engages a network of brain regions that likely play a role in how events are encoded. Here, in a sample of older adults, we assessed the relationship between changes in brain dynamics during movie watching and event understanding performance. Forty healthy older adults and a comparison sample of 12 younger adults passively viewed short movies of everyday activities while their brain activity was measured with fMRI. Afterward, they segmented the movies into events and performed memory tasks for movie content. The older adults engaged a similar event segmentation network during movie watching as the younger adults. Individual differences analyses revealed that although behavioral measures of event segmentation predicted memory, activity in the segmentation network did not. Intersubject correlation analyses revealed that normative brain dynamics during viewing in the right posterior temporal sulcus and left dorsolateral prefrontal cortex predicted better segmentation performance. These data suggest that these regions play an important role in event understanding, and also that the event segmentation network is preserved in healthy aging. (PsycINFO Database Record

摘要

动作理解的一个重要特征是理解者将感知流分割成事件。事件分割动态地参与到一个大脑区域网络中,这个网络可能在事件编码中发挥作用。在这里,我们在一组老年样本中评估了观看电影时大脑动态变化与事件理解表现之间的关系。40 名健康的老年人和 12 名年轻成年人的对照组样本被动观看了日常生活活动的短片,同时使用 fMRI 测量他们的大脑活动。之后,他们将电影分割成事件,并对电影内容进行记忆任务。老年人在观看电影时使用了与年轻人相似的事件分割网络。个体差异分析表明,尽管事件分割的行为测量预测了记忆,但分割网络的活动却没有。受试者间相关分析表明,观看时右后颞叶和左背外侧前额叶的正常大脑动态可以预测更好的分割表现。这些数据表明,这些区域在事件理解中起着重要作用,并且事件分割网络在健康老龄化中得以保留。

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Event segmentation ability uniquely predicts event memory.事件分割能力能独特地预测事件记忆。
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Medial temporal lobe volume predicts elders' everyday memory.内侧颞叶体积可预测老年人的日常记忆。
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