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Behavioral Animal Models and Neural-Circuit Framework of Depressive Disorder.
Tian, Xiangyun; Russo, Scott J; Li, Long.
Afiliação
  • Tian X; State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
  • Russo SJ; University of the Chinese Academy of Sciences, Beijing, 100049, China.
  • Li L; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. scott.russo@mssm.edu.
Neurosci Bull ; 2024 Aug 09.
Article em En | MEDLINE | ID: mdl-39120643
ABSTRACT
Depressive disorder is a chronic, recurring, and potentially life-endangering neuropsychiatric disease. According to a report by the World Health Organization, the global population suffering from depression is experiencing a significant annual increase. Despite its prevalence and considerable impact on people, little is known about its pathogenesis. One major reason is the scarcity of reliable animal models due to the absence of consensus on the pathology and etiology of depression. Furthermore, the neural circuit mechanism of depression induced by various factors is particularly complex. Considering the variability in depressive behavior patterns and neurobiological mechanisms among different animal models of depression, a comparison between the neural circuits of depression induced by various factors is essential for its treatment. In this review, we mainly summarize the most widely used behavioral animal models and neural circuits under different triggers of depression, aiming to provide a theoretical basis for depression prevention.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Neurosci Bull Assunto da revista: NEUROLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Singapura

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Neurosci Bull Assunto da revista: NEUROLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Singapura