Suppr超能文献

视觉意象的神经关联:基于坐标的荟萃分析。

The neural correlates of visual imagery: A co-ordinate-based meta-analysis.

机构信息

Medical School, University of Exeter, UK.

School of Psychology, University of Exeter, UK.

出版信息

Cortex. 2018 Aug;105:4-25. doi: 10.1016/j.cortex.2017.12.014. Epub 2018 Jan 2.

Abstract

Visual imagery is a form of sensory imagination, involving subjective experiences typically described as similar to perception, but which occur in the absence of corresponding external stimuli. We used the Activation Likelihood Estimation algorithm (ALE) to identify regions consistently activated by visual imagery across 40 neuroimaging studies, the first such meta-analysis. We also employed a recently developed multi-modal parcellation of the human brain to attribute stereotactic co-ordinates to one of 180 anatomical regions, the first time this approach has been combined with the ALE algorithm. We identified a total 634 foci, based on measurements from 464 participants. Our overall comparison identified activation in the superior parietal lobule, particularly in the left hemisphere, consistent with the proposed 'top-down' role for this brain region in imagery. Inferior premotor areas and the inferior frontal sulcus were reliably activated, a finding consistent with the prominent semantic demands made by many visual imagery tasks. We observed bilateral activation in several areas associated with the integration of eye movements and visual information, including the supplementary and cingulate eye fields (SCEFs) and the frontal eye fields (FEFs), suggesting that enactive processes are important in visual imagery. V1 was typically activated during visual imagery, even when participants have their eyes closed, consistent with influential depictive theories of visual imagery. Temporal lobe activation was restricted to area PH and regions of the fusiform gyrus, adjacent to the fusiform face complex (FFC). These results provide a secure foundation for future work to characterise in greater detail the functional contributions of specific areas to visual imagery.

摘要

视觉意象是一种感官想象形式,涉及到通常被描述为类似于感知的主观体验,但这种体验发生在没有相应外部刺激的情况下。我们使用激活似然估计算法(ALE)来识别 40 项神经影像学研究中一致激活视觉意象的区域,这是首次进行此类元分析。我们还采用了最近开发的人类大脑多模态分割方法,将立体坐标分配给 180 个解剖区域之一,这是该方法首次与 ALE 算法相结合。我们基于 464 名参与者的测量结果,总共确定了 634 个焦点。我们的整体比较确定了上顶叶的激活,特别是在左半球,这与该脑区在想象中的“自上而下”作用一致。下运动前区和下额前回被可靠地激活,这一发现与许多视觉意象任务所提出的明显语义要求一致。我们观察到几个与眼球运动和视觉信息整合相关的区域的双侧激活,包括补充和扣带眼区(SCEFs)和额眼区(FEFs),这表明能动过程在视觉意象中很重要。即使参与者闭上眼睛,视觉意象期间通常也会激活 V1,这与视觉意象的有影响力的描述理论一致。颞叶激活仅限于 PH 区和梭状回区域,与梭状回面部复合体(FFC)相邻。这些结果为未来更详细地描述特定区域对视觉意象的功能贡献提供了可靠的基础。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验