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Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
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Volume 4, Issue 8
Pages A1-A10, 681-762 (August 2019)
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1. Editorial Board Page
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Page A1
2. Subscribers' Page
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Page A2
3. Table of Contents
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Pages A3-A4
4. Guide for Authors
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Pages A5-A10
5. In This Issue
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Page 681
6. Converging Evidence for Abnormal Thalamic Oscillations in Schizophrenia
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Stephan F. Taylor.
Nội dung
Pages 682-683
7. Predicting Mental Health in Adolescence: Frontoinsular Circuitry, Emotion in Daily Life, and Risk for Depression
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Dylan G. Gee, Camila Caballero.
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Pages 684-685
8. Identifying the Long-term Brain Changes Associated With Childhood Trauma Exposure Using Data-Driven Machine Learning Techniques
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Yann Quidé.
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Pages 686-687
9. Neural Effects of Cognitive Training in Schizophrenia: A Systematic Review and Activation Likelihood Estimation Meta-analysis
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David Mothersill, Gary Donohoe.
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Pages 688-696
10. Functional Connectivity Between Sensory-Motor Subnetworks Reflects the Duration of Untreated Psychosis and Predicts Treatment Outcome of First-Episode Drug-Naïve Schizophrenia
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Yiwen Zhang, Lihua Xu, Yang Hu, Jinfeng Wu, ... Zhi Yang.
Nội dung
Pages 697-705
11. Increased Thalamocortical Connectivity in Schizophrenia Correlates With Sleep Spindle Deficits: Evidence for a Common Pathophysiology
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Bengi Baran, Fikret Işık Karahanoğlu, Dimitrios Mylonas, Charmaine Demanuele, ... Dara S. Manoach.
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Pages 706-714
12. Frontoinsular Network Markers of Current and Future Adolescent Mood Health
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Roselinde H. Kaiser, Elena Peterson, Min Su Kang, Julie Van Der Feen, ... Diego A. Pizzagalli.
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Pages 715-725
13. Predicting Bipolar Disorder Risk Factors in Distressed Young Adults From Patterns of Brain Activation to Reward: A Machine Learning Approach
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Leticia de Oliveira, Liana C.L. Portugal, Mirtes Pereira, Henry W. Chase, ... Mary L. Phillips.
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Pages 726-733
14. Machine Learning Analysis of the Relationships Between Gray Matter Volume and Childhood Trauma in a Transdiagnostic Community-Based Sample
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Ashley N. Clausen, Robin L. Aupperle, Hung-Wen Yeh, Darcy Waller, ... Teresa Victor.
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Pages 734-742
15. The Modulation of Neural Noise Underlies the Effectiveness of Methylphenidate Treatment in Attention-Deficit/Hyperactivity Disorder
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Maik Pertermann, Annet Bluschke, Veit Roessner, Christian Beste.
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Pages 743-750
16. Cue Reactivity in the Ventral Striatum Characterizes Heavy Cannabis Use, Whereas Reactivity in the Dorsal Striatum Mediates Dependent Use
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Xinqi Zhou, Kaeli Zimmermann, Fei Xin, Weihua Zhao, ... Benjamin Becker.
Nội dung
Pages 751-762
