Fuzzy Regression Clustering for Brain mapping on Long Term Memory Consolidated by Mnemonics
Fuzzy Regression Clustering for Brain mapping on Long Term Memory Consolidated by Mnemonics
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发表时间：
2003
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通讯作者：
H. Ichihashi;Katsuhiro Honda;S. Araki;Ryo Haruna
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作者：
H. Ichihashi;Katsuhiro Honda;S. Araki;Ryo Haruna
通过功能性磁共振成像（fMRI）实验，一种通过助记法巩固长期记忆的大脑图谱被称为位点法。在过去的三年里，一个日本人记忆了2000个英语句子，每个句子由大约10个单词组成。被试回忆句子时的脑图像是在激活和基线时期获得的。使用SPM99和改进的模糊c均值（FCM）算法对fMRI信号进行分析，该算法包括回归和聚类两步。聚类结果揭示了布洛卡区和视觉区的功能专门化。每个实验块开始和中间的视觉空间成像任务将视觉皮层的反应与Broca区、岛区和Wernicke区的运动语言区反应区分开来。
A brain mapping in recalling long term memories consolidated by mnemonics called the Method of Loci was carried out using fMRI experiments. During the last three years, a Japanese subject memorized 2,000 English sentences, each of which consisted of about 10 words. The brain images when the subject was recalling the sentences were acquired in the activation and baseline epochs. The fMRI signals were analyzed using SPM99 and a modified fuzzy c-means (FCM) algorithm that entails two steps, i.e., regression and clustering. The clustering results reveal the functional specialization of Broca’s area and visual area. The visuo spatial imaging task at the beginning and the middle of each experimental block differentiates the responses at visual cortex from that of the motor speech areas of Broca, insula and Wernicke area.