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The activation of the prefrontal cortex is a consistent finding in neuroimaging studies of memory encoding and retrieval. Some of the studies have shown that the left prefrontal cortex is involved in the encoding of information, whereas the right prefrontal cortex is involved in the retrieval, which suggests distinct non-overlapping cortical processing of encoding and retrieval in the prefrontal cortex...
Spontaneous brain activity studies have revealed `small-world' property in functional networks based on correlated or positively-correlated relationships. However, studies neither investigated negatively-correlated functional networks, nor checked the `dynamic' properties of the whole functional organization. After subjects performed a specific task, what changes will be caused in the intrinsic organization?...
Using event-related functional magnetic resonance imaging (fMRI) and the Ebbinghaus paradigm, we investigated the effect of memory in parietal cortex activity. In the course of one week, participants learned Boolean arithmetic tasks and were asked to master them perfectly. We measured cerebral activation with fMRI while healthy volunteers had learned and practiced Boolean rules on day 1 (i.e., labile...
To explore brain areas involved in Boolean arithmetical computation, functional magnetic imaging (fMRI) was performed on college students during performance of Boolean calculation tasks. For the Boolean arithmetical problems relative to number-processing tasks, results for all twelve subjects revealed bilateral activation in occipital cortex (areas 17 and 18), frontal cortex (areas 6, 8, 9 and 46),...
Syllogistic reasoning is a form of deductive reasoning in which a logical conclusion is drawn from premises. Forward-chaining syllogistic reasoning refers to response pattern of figure 1 syllogism (M-P, S-M, S-P with response chain of S-M-P) and backward-chaining syllogistic reasoning refers to response pattern of figure 4 syllogism (P-M, S-M, S-P with response chain of P-M-S). Previous psychological...
Both text and figure are important ways to represent data and information. Although many investigations on lexical, sentential representation and processing have been reported in cognitive neuroscience, the brain mechanism remains unclear on different neural substrates of representation and processing between text and figure. In our study, experimental materials were designed with the same content...
Brain activation detection is an important problem in fMRI data analysis. In this paper, we propose a data-driven activation detection method called neighborhood one-class SVM (NOC-SVM). By incorporating the idea of neighborhood consistency into one-class SVM, the method classifies a voxel as an activated or non-activated voxel by its neighbor weighted distance to a hyperplane in a high- dimensional...
In the paper, we propose a multi-aspect data mining process for investigating a more whole human information process mechanism systematically. As an example to demonstrate the proposed mining process, we explain how to design the experiments of an ERP mental arithmetic task with visual stimuli for investigating human computation centric information processing mechanism, and describe how to do multi-aspect...
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