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Rethinking the Role of the Angular Gyrus in Remembering the Past and Imagining the Future: The Contextual Integration Model
The Neuroscientist ( IF 3.5 ) Pub Date : 2017-10-10 , DOI: 10.1177/1073858417735514
Siddharth Ramanan 1, 2 , Olivier Piguet 1, 2 , Muireann Irish 1, 2
Affiliation  

Despite consistent activation on tasks of episodic memory, the precise contribution of the left angular gyrus (AG) to mnemonic functions remains vigorously debated. Mounting evidence suggests that AG activity scales with subjective ratings of vividness and confidence in recollection, with further evidence pointing to its involvement during construction of detailed and coherent future simulations. Lesion studies, however, indicate that damage to the AG does not render patients amnesic on standard source and associative memory paradigms. To reconcile these findings, we present the Contextual Integration Model as a unifying framework that couches the mnemonic role of the AG in terms of multimodal integration and representation of contextual information across temporal contexts. Irrespective of whether one is remembering the past or constructing future or hypothetical scenarios, the Contextual Integration Model holds that the core elements of an event (i.e., the who, what, when, where) are bound within the medial temporal lobes while the multimodal details, which give rise to perceptually rich recollection, are integrated and represented in the AG. Building on previous work, the Contextual Integration Model therefore provides a comprehensive exposition of the mnemonic and constructive functions of the AG across temporal contexts, offering a novel test-bed for future work.



中文翻译:

重新思考角回在记住过去和想象未来中的作用:上下文整合模型

尽管持续性地激活了情景记忆的任务,但是仍在激烈地争论着左角回(AG)对助记符功能的精确贡献。越来越多的证据表明,AG活动的规模取决于对回忆的生动性和信心的主观评价,进一步的证据表明,AG活动涉及详细而连贯的未来模拟的构建。但是,病变研究表明,对AG的损害并未使患者对标准来源和联想记忆范式产生记忆删除。为了调和这些发现,我们将上下文集成模型作为一个统一的框架进行介绍,该框架在多模式集成和跨时间上下文的上下文信息表示方面发挥了AG的助记作用。谁,什么,什么时候,什么时候,哪里)约束在内侧颞叶内,而引起知觉丰富的回忆的多峰细节被整合并在AG中表示出来。因此,上下文集成模型以先前的工作为基础,提供了跨时间上下文的AG的助记符和构造功能的综合说明,为将来的工作提供了新颖的测试平台。

更新日期:2017-10-10
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