Computational Neuroscience Approach to Psychiatry: A Review on Theory-driven Approaches
Clinical Psychopharmacology and Neuroscience
;
: 26-36, 2022.
Artigo
em Inglês
| WPRIM
| ID: wpr-924837
ABSTRACT
Translating progress in neuroscience into clinical benefits for patients with psychiatric disorders is challenging because it involves the brain as the most complex organ and its interaction with a complex environment and condition. Dealing with such complexity requires powerful techniques. Computational neuroscience approach to psychiatry integrates multiple levels and types of simulation, analysis and computation according to the different types of computational models to enhance comprehending, prediction and treatment of psychiatric disorder. This approach comprises two approaches theory-driven and data-driven. In this review, we focus on recent advances in theory-driven approaches that mathematically and mechanistically examine the relationships between disorder-related changes and behavior at different level of brain organization. We discuss recent progresses in computational neuroscience models that relate to psychiatry and show how principles of neural computational modeling can be employed to explain psychopathology.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Tipo de estudo:
Estudo prognóstico
Idioma:
Inglês
Revista:
Clinical Psychopharmacology and Neuroscience
Ano de publicação:
2022
Tipo de documento:
Artigo
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