Fuzzy canonical correlation and cluster analysis for brain mapping on long term memory consolidated by mnemonics
Fuzzy canonical correlation and cluster analysis for brain mapping on long term memory consolidated by mnemonics
复制标题
DOI：
10.1109/fuzzy.2004.1375708
复制
发表时间：
2004-07
期刊：
影响因子：
--
通讯作者：
H. Ichihashi;Katsuhiro Honda;S. Araki
中科院分区：
文献类型：
--
作者：
H. Ichihashi;Katsuhiro Honda;S. Araki
在功能磁共振成像研究中，大脑的功能反应因区域而异，并不比简单的矩形波或更复杂但单一的血液动力学反应函数复杂多少。模糊典型相关分析（FCCA），它可以检测每个体素的波形，并最大限度地减少假活动的影响，如内部语音在控制时期。这使得设计弹性实验和控制块成为可能。利用功能磁共振成像实验，我们进行了一种被称为“定位点法”的大脑绘图，用于回忆由记忆术巩固的长期记忆。使用SPM99和FCCA以及模糊c均值（FCM）聚类对fMRI信号进行分析。聚类结果揭示了布罗卡区和视区的功能特化。
In the fMRI study, the functional responses of the brain differ from region to region, and are little more complicated than the simple boxcar waveform or more sophisticated but single hemodynamics response function. Fuzzy canonical correlation analysis (FCCA) is developed, which can detect waveform of each voxel and minimize the effect of false activity such as inner speech during control epochs. This makes it possible to design an elastic experimental and control block. A brain mapping in recalling long term memories consolidated by mnemonics called the method of loci was carried out using fMRI experiments. The fMRI signals were analyzed using SPM99 and FCCA together with fuzzy c-means (FCM) clustering. The clustering results reveal the functional specialization of Broca's area and visual area.