Titlebook: Advances in Schizophrenia Research 2009; Wagner F. Gattaz,Geraldo Busatto Book 2010 Springer-Verlag New York 2010 Antipsychotics.Community

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書目名稱Advances in Schizophrenia Research 2009影響因子(影響力)




書目名稱Advances in Schizophrenia Research 2009影響因子(影響力)學(xué)科排名




書目名稱Advances in Schizophrenia Research 2009網(wǎng)絡(luò)公開度




書目名稱Advances in Schizophrenia Research 2009網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Schizophrenia Research 2009被引頻次




書目名稱Advances in Schizophrenia Research 2009被引頻次學(xué)科排名




書目名稱Advances in Schizophrenia Research 2009年度引用




書目名稱Advances in Schizophrenia Research 2009年度引用學(xué)科排名




書目名稱Advances in Schizophrenia Research 2009讀者反饋




書目名稱Advances in Schizophrenia Research 2009讀者反饋學(xué)科排名

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Disinhibition of Prefrontal Cortex Neurons in Schizophreniantribute to this malfunction. Here we review some of the literature that points to PFC abnormalities in schizophrenia and recent theories that unify the multimodal functional and postmortem findings in schizophrenia.

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貪婪性

Animal Models of Schizophrenia: Focus on Hippocampal Disruption of Dopamine System Regulationd are given at doses that are selective for D2 receptor blockade (Seeman et al., 1976; Kapur and Remington, 2001). However, a careful analysis of this information suggests that a simple hyperdopaminergic state may not adequately explain schizophrenia pathophysiology.

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Deject

Lecture Notes in Computer Scienceudy (GWAS) technology has recently altered this situation. GWASs to date have focused on analyzing each individual marker of the 500,000 or more markers on the microarray and presenting the .-values in one large analysis, with statistical significance thresholds adjusted for the extensive multiple testing.

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Computational Science – ICCS 2008ence of persecutory delusions, where arguably the progress has been most rapid. The initial application of this theoretical knowledge to clinical practice via an interventionist causal model approach will be described.

可以任性

Progress in Genetic Studies of Schizophreniaudy (GWAS) technology has recently altered this situation. GWASs to date have focused on analyzing each individual marker of the 500,000 or more markers on the microarray and presenting the .-values in one large analysis, with statistical significance thresholds adjusted for the extensive multiple testing.

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