书目详细信息
： Neuroimaging of schizophrenia and other primary psychotic disorders :
书目信息 机读格式(MARC)
| ISBN： | 9783319973067 |
|---|---|
| ISBN： | 3319973061 |
| 编目源： | NLM NLM YDXIT OHX YDX OCLCO OCLCA CQMU-1st |
| 题名： | Neuroimaging of schizophrenia and other primary psychotic disorders : achievements and perspectives / Silvana Galderisi, Lynn E. DeLisi, Stefan Borgwardt, editors. |
| 出版发行项： | Cham, Switzerland : Springer, 2019 |
| 载体形态： | x, 345 pages : illustrations ; 24 cm |
| 书目附注： | Includes bibliographical references. |
| 格式化内容附注： | Intro; Preface; Contents; Contributors; 1: Neuroimaging: Diagnostic Boundaries and Biomarkers; 1.1 Introduction; 1.2 Biomarkers: Definition and Application in Psychiatry; 1.2.1 Definition; 1.2.2 Neuroimaging Biomarkers; 1.2.2.1 Steps for Neuroimaging Biomarker Discovery; 1.3 Primary Psychotic Disorders and Neuroimaging Findings: Which Biomarkers for Psychotic Disorders?; 1.3.1 Diagnostic Biomarkers; 1.3.1.1 Structural Gray and White Matter MRI Findings; 1.3.1.2 Diffusion Tensor Imaging Findings; 1.3.1.3 Functional Neuroimaging Findings; 1.3.1.4 Other Neuroimaging Findings |
| 格式化内容附注： | 1.3.2 Biomarkers of Schizophrenia Subtypes: Deficit and Non-deficit Schizophrenia1.3.2.1 Structural and Functional Neuroimaging Findings; 1.3.3 Prognostic and Predictive Biomarkers; 1.3.3.1 Prediction of Treatment Response; 1.3.3.2 Prediction of the Transition to Psychosis; 1.4 Machine Learning; 1.4.1 Machine Learning and Generation of Future Instances and Previsions; 1.4.1.1 Main Learning Schemes: Unsupervised and Supervised Machine-Learning Methods; 1.4.2 Applicability of Machine-Learning Techniques in Psychotic Disorders |
| 格式化内容附注： | 1.4.2.1 Machine-Learning Classifiers and the Prediction of Schizophrenia-Distinctive Patterns and Illness Course1.4.2.2 Neuroimaging Biomarkers for Psychosis Differential Diagnosis; 1.4.2.3 Machine-Learning Algorithms in the Identification of Individuals at High Risk of Psychosis; 1.5 Limits and Future Perspectives of Neuroimaging Biomarkers in Psychotic Disorders; 1.5.1 Limits of Neuroimaging Biomarkers in Psychiatry; 1.5.2 Future Perspectives; 1.6 Conclusions; References; 2: Neuroimaging and Psychopathological Domains; 2.1 Introduction |
| 格式化内容附注： | 2.2 Brain Imaging and the Three-Syndrome Model of Psychosis2.2.1 Negative Dimension or Psychomotor Poverty; 2.2.1.1 Brain Imaging Findings Relevant to the Negative Dimension or Psychomotor Poverty; 2.2.1.2 Brain Imaging Findings and the Avolition-Apathy Domain; 2.2.1.3 Brain Imaging Findings and the Expressive Deficit Domain; 2.2.2 Disorganization; 2.2.2.1 Brain Imaging Findings and Disorganization; 2.2.2.2 Brain Imaging Findings and Formal Thought Disorder; 2.2.2.3 Structural Cerebral Changes in Relation to FTD; 2.2.2.4 Functional Correlates of FTD |
| 格式化内容附注： | 2.3 Reality Distortion or Positive Dimension2.3.1 Reality Distortion and Brain Imaging; 2.3.2 Hallucinations and Brain Imaging; 2.3.2.1 Hallucinations and Functional Magnetic Resonance Imaging (fMRI); 2.3.2.2 Symptom-Catching Studies; 2.3.2.3 MRI and Task-Related Brain Activity in Relation to Hallucinations; 2.3.2.4 Resting State MR Studies; 2.3.2.5 Functional Studies Using Radioactive-Tagged Substances (PET/SPECT); 2.3.2.6 Studies of Cerebral Metabolism Using MRI (Magnetic Resonance Spectrography Imaging) |