Titlebook: Computational Neuroscience; Drozdstoy Stoyanov,Bogdan Draganski,Claus Lamm Book 2023 The Editor(s) (if applicable) and The Author(s), unde

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Magnetic Resonance Spectroscopyain MRS are briefly discussed, together with an overview of the primary clinical applications. Moreover, some concepts about data acquisition and processing are discussed, with the aim of facilitating MRS spectra analysis and interpretation.

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Book 2023o study the healthy and diseased brain. The chapters in this book are organized into five parts. Parts One and Two cover an introduction to this field and the latest use of molecular models. Part Three explores neurophysiological methods for assessment, such as quantitative EEG and event-related pot

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Toward Methodology for Strategic Innovations in Translational and Computational Neuroscience in Psyc should be translated into clinical reasoning by more intensive and extensive use of clinical tests as stimuli in fMRI paradigms. Further the integration of multimodal imaging data (resting state connectivity, structural studies, magnetic resonance spectroscopy, etc.) into machine learning models, w

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Molecular Methods in Neuroscience and Psychiatrye field of psychiatry and neuroscience is mandatory. New technologies, new methods, and interdisciplinary methodologies are a must. Personalized psychiatry will improve the diagnosis, treatment, and prevention of this huge group of psychiatric disorders. We explored relevant literature related to mo

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The Concept of Event-Related Oscillations: A Spotlight on Extended Applications oscillations (EROs) is linked to that of event-related potentials (ERPs). Both the ERPs and EROs are derived from electroencephalographic (EEG) recordings following the appearance of an event. There are, however, several essential advantages of the ERO approach. These refer to the ability (1) to an

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