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4. Evaluating normalized registration and preprocessing methodologies for the analysis of brain MRI in pediatric patients with shunt-treated hydrocephalus.

7. Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review

11. Contributors

14. Quantitative Image Analysis of White Matter Dysregulation Using Brain Normalization for Diagnostic Analysis of Pediatric Hydrocephalus

15. Corrigendum to “Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review.” J Affect Disord. 241 (2018) 519-532

17. Neurodevelopmental profiles of children with unilateral cerebral palsy associated with middle cerebral artery and periventricular venous infarctions.

19. 95 A Comparison of the Developmental Profiles of Individuals with Hemiplegic Cerebral Palsy associated with Middle Cerebral Artery and Periventricular Venous Infarctions

24. Serum metabolic profiling using small molecular water-soluble metabolites in individuals with schizophrenia: A longitudinal study using a pre-post-treatment design

28. Drug-drug interactions as a result of co-administering Δ9-THC and CBD with other psychotropic agents

31. Serum metabolic profiling using small molecular water‐soluble metabolites in individuals with schizophrenia: A longitudinal study using a pre–post‐treatment design.

32. Therapeutic potential of JAK/STAT pathway modulation in mood disorders.

33. Rapastinel - an investigational NMDA-R modulator for major depressive disorder: evidence to date

34. Drug-drug interactions as a result of co-administering Δ9-THC and CBD with other psychotropic agents

35. Association between antipsychotic treatment and leptin levels across multiple psychiatric populations: An updated meta-analysis

36. Drug-drug interactions as a result of co-administering Δ 9 -THC and CBD with other psychotropic agents.

37. Assessing and measuring cognitive function in major depressive disorder.

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