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功能磁共振成像数据的独立成分分析与图形-颜色联觉。

An independent component analysis of fMRI data of grapheme-colour synaesthesia.

机构信息

Department of Biological & Medical Psychology, University of Bergen, Norway.

出版信息

J Neuropsychol. 2011 Sep;5(2):203-13. doi: 10.1111/j.1748-6653.2011.02008.x.

Abstract

The independent component analysis (ICA) method was applied to fMRI data from two synaesthetes and their matched controls while they performed the coloured-word Stroop task and the single-letter (synaesthetic) Stroop task. ICA identified an 'attention' network, a 'perceptual' network as well as a 'conflict monitoring' network. Increased activity was observed in right V4 during the single-letter Stroop task for synaesthetes only. The finding confirms that the same neural substrate that is known to support the experience of physical colours also supports the experience of synaesthetic colours.

摘要

独立成分分析 (ICA) 方法被应用于两位联觉者及其匹配对照者在执行彩色单词斯特鲁普任务和单个字母(联觉)斯特鲁普任务时的 fMRI 数据。ICA 确定了一个“注意力”网络、一个“知觉”网络以及一个“冲突监测”网络。只有在进行单个字母斯特鲁普任务时,联觉者的右侧 V4 区域观察到活动增加。这一发现证实了已知支持物理颜色体验的相同神经基质也支持联觉颜色的体验。

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