| Budget Amount *help |
¥76,180,000 (Direct Cost: ¥58,600,000、Indirect Cost: ¥17,580,000)
Fiscal Year 2020: ¥14,950,000 (Direct Cost: ¥11,500,000、Indirect Cost: ¥3,450,000)
Fiscal Year 2019: ¥14,950,000 (Direct Cost: ¥11,500,000、Indirect Cost: ¥3,450,000)
Fiscal Year 2018: ¥14,950,000 (Direct Cost: ¥11,500,000、Indirect Cost: ¥3,450,000)
Fiscal Year 2017: ¥14,950,000 (Direct Cost: ¥11,500,000、Indirect Cost: ¥3,450,000)
Fiscal Year 2016: ¥16,380,000 (Direct Cost: ¥12,600,000、Indirect Cost: ¥3,780,000)
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| Outline of Final Research Achievements |
Thought disorder in psychiatric disorders include disorders of concept formation and abstraction. In schizophrenia, in particular, abnormalities in the semantic network of words have been assumed to underlie the thought disorder, which is a core symptom, but the neural basis of the disorder has remained unclear. We combined natural language processing, one of the artificial intelligence technologies, and brain image analysis technology to investigate abnormalities in semantic representations in the brain of schizophrenia patients. Brain activity while watching a video was measured by functional MRI. In healthy subjects, cluster formation was observed for each concept, such as words related to humans, organisms, and artifacts, but the degree of cluster formation was not clear in the schizophrenia group, suggesting an abnormal network of semantic representations in the brain.
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