Computational Neuroscience

Towards Methodology for Strategic Innovations in Translational and Computational Neuroscience in Psychiatry.- Molecular Methods in Neuroscience and Psychiatry.- Towards the Use of Research and Diagnostic Algorithmic Rules (RADAR) to Assess the Recurrence of Illness and Major Dysmood Disorder Features: The Diagnosis “Bipolar Disorder” is Useless.- The Concept of Event-Related Oscillations: A Spotlight on Extended Applications.- Quantitative EEG Analysis: Introduction and Basic Principles.- QEEG and ERP Biomarkers of Psychotic and Mood Disorders and Their Treatment Response.- Quantitative EEG in Patients with Schizophrenia.- Computational Anatomy Going Beyond Brain Morphometry.- Nonlinear Methods for the Investigation of Psychotic Disorders.- Carving Out the Path to Computational Biomarkers for Mental Disorders.- Neuroimaging Methods Investigating Anterior Insula Alterations in Schizophrenia and Mood Disorders.- Magnetic Resonance Spectroscopy.- The Effect of Exogenous and Endogenous Parameters on Group Resting-State Effective Connectivity and BOLD Signal.- Utility of Computational Approaches for Precision Psychiatry: Applications to Substance Use Disorders.- Multimodal Integration in Psychiatry: Clinical Potential and Challenges.- Premises of Computational Neuroscience: Machine Learning Tools and Multivariate Analyses.