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Visual Processing in Schizophrenia and SPD

Visual Processing in Schizophrenia and SPD
精神分裂症和 SPD 中的视觉处理
批准号:
6630397
负责人:
Brian Francis O'Donnell
金额:
$18.63万
依托单位国家:
美国
项目类别:
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-07-20 至 2005-03-31

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中文摘要
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英文摘要
DESCRIPTION: (provided by applicant) The overall aim of this research program is to use psychometric, psychophysical, and electrophysiological techniques to characterize visual processing deficits in schizophrenia spectrum disorders. The model motivating this project proposes that patients with schizophrenia (SZ), but not subjects with schizotypal personality disorder (SPD), will demonstrate disturbances of early stage vision and visual event related potentials (ERP) indicative of retino-geniculate or occipital cortex disturbances. Moreover, these disturbances appear to be most profound for stimuli and tasks requiring high temporal resolution or integration, suggestive of disturbed neural synchronization. Because neural synchronization at high firing frequencies may be essential for spatial and temporal binding or integration, this deficit could account for a broad range of disturbances in SZ. The model also suggests that working memory deficits are a core feature of both schizophrenia and SPD, which reflect disrupted frontal lobe function. Discrimination and delayed match-to-sample tests of short-term visual memory will be used to test these behavioral hypotheses. Event-related potential paradigms will be used to assess sensory processes, EEG synchronization to periodic stimulation, sensory gating, and attention and working memory operations. Computational modeling of neural circuits will be used to assess the role of NMDA and nicotinic dysregulation in producing these deficits. These findings may provide evidence regarding how schizophrenia and SPD differentially affect early stage vision and memory operations; implicate specific visual pathways and circuits which may be differentially sensitive to neurodevelopmental insults; and indicate visual processing deficits can identify core features across schizophrenia spectrum disorders.
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Graph Theoretic Analysis of Brain Networks in Cannabis Users
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    8637304
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国内基金
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