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

Depression: Overview01:18

Depression: Overview

331
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,...
331
Long-term Depression01:03

Long-term Depression

2.6K
Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
Calcium Ion Concentration Mechanism
If over...
2.6K
Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

165
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...
165
Depressive Disorders: MDD and Dysthymia01:27

Depressive Disorders: MDD and Dysthymia

208
Depressive disorders are a group of mental health conditions characterized by pervasive feelings of sadness, diminished pleasure in life, and a significant impact on daily functioning. These conditions are most prevalent in individuals during their 30s and affect women at twice the rate of men. Contrary to popular belief, younger individuals are generally more susceptible to these disorders than older adults. Two key types of depressive disorders include Major Depressive Disorder (MDD) and...
208
Post-traumatic Stress Disorder01:27

Post-traumatic Stress Disorder

113
Post-traumatic stress disorder (PTSD) is a psychiatric condition that arises following exposure to traumatic events such as natural disasters, forced displacement, or severe accidents. It significantly impairs individuals' ability to cope with daily activities and disrupts their emotional and psychological equilibrium.
Symptoms and Behavioral Manifestations
A spectrum of distressing symptoms characterizes PTSD. Recurrent flashbacks, where individuals involuntarily relive traumatic events,...
113
Social Anxiety Disorder01:28

Social Anxiety Disorder

78
Social anxiety disorder, also known as social phobia, is characterized by an intense fear of social situations where one might face humiliation, rejection, embarrassment, or negative evaluation. This disorder leads individuals to avoid activities like casual conversations, public speaking, or seemingly simple tasks such as eating, signing documents, or swimming, in public settings. Its impact extends beyond discomfort, often significantly interfering with daily functioning and quality of life.
78

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

Explainable Lightweight AI for the Identification of Right-Sided Cardiac Dysfunction in a Saudi Arabian Diabetic Cohort.

Journal of clinical medicine·2026
Same author

Treatment outcomes of hydrocephalus management strategies in patients with cerebellopontine angle lesions.

Acta neurologica Belgica·2026
Same author

Predicting survival in butterfly glioma: The role of molecular markers and surgical management.

Clinical neurology and neurosurgery·2026
Same author

An Interpretable Hybrid SFNet Deep Learning Framework for Multi-Site Bone Fracture Detection in Medical Imaging.

Diagnostics (Basel, Switzerland)·2026
Same author

Advanced Deep Learning Models for Classifying Dental Diseases from Panoramic Radiographs.

Diagnostics (Basel, Switzerland)·2026
Same author

Facial Nerve Outcomes Following Microsurgical Resection of Large Cerebellopontine Angle Tumors: Experience From a Tertiary Care Center in Pakistan.

Brain tumor research and treatment·2026
Same journal

An Ultra-Lightweight Cross-scale Attention Mamba Network for Accurate Skin Lesion Segmentation.

IEEE journal of biomedical and health informatics·2026
Same journal

Explanation-Guided Reconstruction of Missing Clinical Features for Survival Prediction in Pancreatic Cancer.

IEEE journal of biomedical and health informatics·2026
Same journal

stDGCN: A dual-augmentation graph convolutional network for identifying spatial domains with attention mechanism.

IEEE journal of biomedical and health informatics·2026
Same journal

Patient-specific Biomechanical Investigation of Percutaneous Pulmonary Valves: Towards the Integration of Routinely Acquired Clinical Data and Fluid-structure Interaction Simulations.

IEEE journal of biomedical and health informatics·2026
Same journal

Cross-subject fMRI-to-Image with Visual-cortex 2D Representation and Pre-Training.

IEEE journal of biomedical and health informatics·2026
Same journal

PGCASurv: A Prior-Guided Cross-Attention Framework for Dynamic Survival Model with Longitudinal Data.

IEEE journal of biomedical and health informatics·2026
查看所有相关文章

相关实验视频

Updated: Sep 10, 2025

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

3.7K

背景VecNet:一个背景驱动的多模式学习框架来检测抑郁症

Waleed Bin Tahir, Shah Khalid, Saied Alshahrani

    IEEE journal of biomedical and health informatics
    |August 27, 2025
    PubMed
    概括
    此摘要是机器生成的。

    一个新的深度学习框架, ContextVecNet, 通过有效地分析文字和图像的背景, 通过使用社交媒体数据来改善早期抑郁症的检测. 这种方法显著提高了心理健康监测的预测准确性和可靠性.

    更多相关视频

    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

    2.5K
    A New Method for Inducing a Depression-Like Behavior in Rats
    07:57

    A New Method for Inducing a Depression-Like Behavior in Rats

    Published on: February 22, 2018

    21.2K

    相关实验视频

    Last Updated: Sep 10, 2025

    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

    3.7K
    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

    2.5K
    A New Method for Inducing a Depression-Like Behavior in Rats
    07:57

    A New Method for Inducing a Depression-Like Behavior in Rats

    Published on: February 22, 2018

    21.2K

    科学领域:

    • 计算语言学
    • 人工智能
    • 心理健康信息学

    背景情况:

    • 抑郁症是全球重要的健康问题.
    • 社交媒体数据有助于早期发现抑郁症.
    • 现有的多模式方法缺乏有效的背景和时间分析.

    研究的目的:

    • 提出一个新的多式联络深度学习框架 - - ContextVecNet.
    • 通过社交媒体提高抑郁症检测的准确性和可靠性.
    • 解决捕获上下文关系和时间信息的限制.

    主要方法:

    • 开发了基于CLIP的架构ContextVecNet,使用可学习的上下文向量.
    • 在文本和图像编码中集成上下文向量.
    • 集成了一个跨模态变压器,用于时间动态和跨模态交互.

    主要成果:

    • 在多式联网数据集上实现了最先进的性能.
    • 实现了0.9922的曲线下的面积 (AUC) 和0.9619的F1得分.
    • 废弃研究证实了环境载体在性能中的关键作用.

    结论:

    • 背景VecNet有效地模拟时间动态和跨模态相互作用以检测抑郁症.
    • 与现有方法相比,该框架显示出更高的性能.
    • 在社交媒体数据中适应特定的抑郁症标志物至关重要.