Presentation | 2002/3/8 Chaotic neural network model of obsessive-compulsive disorder : Approach to behavior therapy and neurosurgical treatment Shigeru KUBOTA, Kazuyuki AIHARA, |
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Abstract(in English) | Obsessive-compulsive disorder (OCD) is characterized by compulsions such as recurrent hand washing or checking. Behavior therapy and neurosurgical treatment are used to improve the symptoms. In behavior therapy, patients are exposed to the cues which induce symptoms and persuaded to stay in contact with the cues without executing compulsive behavior. In neurosurgical treatment, lesions are produced to the limited brain regions, such as the thalamus or the orbitofrontal cortex. In this report, we propose a computational model of OCD by applying chaotic neural network to the striatum, which is assumed to store the information related to compulsions, and explain the mechanism of these treatments. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | obsessive-compulsive disorder / chaotic neural network / behavior therapy / surgical treatment |
Paper # | NLP2001-106 |
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Committee | NLP |
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Conference Date | 2002/3/8(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Chaotic neural network model of obsessive-compulsive disorder : Approach to behavior therapy and neurosurgical treatment |
Sub Title (in English) | |
Keyword(1) | obsessive-compulsive disorder |
Keyword(2) | chaotic neural network |
Keyword(3) | behavior therapy |
Keyword(4) | surgical treatment |
1st Author's Name | Shigeru KUBOTA |
1st Author's Affiliation | Mitsubishi Motors Corporation() |
2nd Author's Name | Kazuyuki AIHARA |
2nd Author's Affiliation | Department of Mathematical Engineering and Information Physics, Graduate School of Engineering, The University of Tokyo |
Date | 2002/3/8 |
Paper # | NLP2001-106 |
Volume (vol) | vol.101 |
Number (no) | 723 |
Page | pp.pp.- |
#Pages | 8 |
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