Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Antidepressant Drugs: MAOIs and Other Agents01:23

Antidepressant Drugs: MAOIs and Other Agents

192
Atypical antidepressants, including bupropion (Wellbutrin), mirtazapine (Remeron), nefazodone (Serzone), trazodone (Desyrel), and vilazodone (Viibryd), offer unique mechanisms of action. Bupropion weakly inhibits dopamine and norepinephrine reuptake, aiding depression treatment and smoking cessation, with a low risk of sexual dysfunction. Mirtazapine enhances serotonin and norepinephrine neurotransmission, leading to sedation, increased appetite, and weight gain. As a result, it helps treat...
192
Depression: Overview01:18

Depression: Overview

213
Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
213
Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

42
Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
42

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

DepressLLM: Interpretable Domain-Adapted Language Model for Depression Detection from Real-World Narratives.

IEEE journal of biomedical and health informatics·2026
Same author

Childhood adversity moderates the association between serum cortisol and earlier-onset posttraumatic stress disorder.

Child and adolescent psychiatry and mental health·2026
Same author

NUT Carcinoma Arising in Stensen's Duct: First Reported Case and Literature Review.

Head and neck pathology·2026
Same author

On-premises open-source large language models for privacy-preserving multimodal depression screening.

International journal of medical informatics·2026
Same author

Neuro-ocular amyloid characterization in Alzheimer's disease via cross-site PET-MRI and hierarchical cross-attention driven multimodal representation learning.

NeuroImage·2026
Same author

Preoperative Neutrophil-to-Lymphocyte Ratio Predicts Recurrence in HPV-Associated Oropharyngeal Cancer After Transoral Robotic Surgery.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery·2026

相关实验视频

Updated: Jun 3, 2025

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

2.2K

一种基于跨模式的轻量级方法,用于抑郁症检测.

Eunchae Lim1, Min Jhon2, Ju-Wan Kim3

  • 1Department of Artificial Intelligence Convergence, Chonnam National University, Gwangju, 61186, South Korea.

Computers in biology and medicine
|January 7, 2025
PubMed
概括

本研究介绍了一种轻量级的多式联络模型,使用音频和文本进行早期抑郁症检测. 该模型对跨语言应用有希望,有助于在日常生活中诊断抑郁症.

关键词:
跨模式性 跨模式性抑郁症数据集中的数据.抑郁症检测检测 抑郁症检测多式联络融合是多式联络的融合方式.

更多相关视频

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
07:12

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method

Published on: August 2, 2021

3.5K
Animal Models of Depression - Chronic Despair Model CDM
05:47

Animal Models of Depression - Chronic Despair Model CDM

Published on: September 23, 2021

7.1K

相关实验视频

Last Updated: Jun 3, 2025

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

2.2K
Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
07:12

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method

Published on: August 2, 2021

3.5K
Animal Models of Depression - Chronic Despair Model CDM
05:47

Animal Models of Depression - Chronic Despair Model CDM

Published on: September 23, 2021

7.1K

科学领域:

  • 计算精神病学是一种计算精神病学.
  • 机器学习在医疗保健中的应用
  • 语音和语言处理.

背景情况:

  • 早期发现抑郁症对于预防自杀至关重要,但由于抑郁症的异质性,采访和问卷等传统方法面临诊断挑战.
  • 当前诊断方法的局限性需要探索生物标记物和易于收集的数据,如音频,以改进检测.
  • 调查抑郁症的生物学方面对于克服主观和耗时的传统诊断方法的缺陷至关重要.

研究的目的:

  • 提出一种新的多式联接融合跨模式模型,用于使用音频和文本数据检测抑郁症.
  • 开发一个轻量级的模型,降低参数,用于部署在普遍的设备上,同时保持准确性.
  • 评估模型的跨语言适用性及其学习普遍抑郁特征的能力.

主要方法:

  • 开发了一种多式联接模型,集成音频和文本功能,用于抑郁症检测.
  • 设计模型轻量化,优化参数数量,以提高边缘设备的效率.
  • 在不同的数据集 (DAIC,EmoDB,韩国抑郁症) 上对模型进行了评估,语言分别是英语,中文和韩语.

主要成果:

  • 获得了显著的F1分数:0.67 (DAIC),0.81 (EmoDB) 和0.61 (韩国抑郁症).
  • 证明了成功的跨语言表现,表明模型学习了语言独立的抑郁症指标.
  • 轻量级的设计保持了精度与较少的参数,适合现实世界的应用.

结论:

  • 拟议的多式模式有效地使用音频和文本检测抑郁症,为早期和可访问的诊断提供了一个有希望的途径.
  • 该模型的轻量级和跨语言能力表明,它有可能在全球心理健康监测的各种设备上广泛部署.
  • 结合非语言语音和语言文本特征,使该模型能够在不同语言中捕捉独特的抑郁特征.