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

Long-term Depression01:03

Long-term Depression

3.0K
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...
3.0K
Long-term Depression01:05

Long-term Depression

33.0K
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.
33.0K
Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

415
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...
415
Depressive Disorders: MDD and Dysthymia01:27

Depressive Disorders: MDD and Dysthymia

581
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...
581
Depression: Overview01:18

Depression: Overview

750
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,...
750

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

Three-dimensional atrous inception module for crowd behavior classification.

Scientific reports·2024
Same author

A multimodal multitask deep learning framework for vibrotactile feedback and sound rendering.

Scientific reports·2024
Same author

Establishing haptic texture attribute space and predicting haptic attributes from image features using 1D-CNN.

Scientific reports·2023
Same author

Generation of Time-Series Working Patterns for Manufacturing High-Quality Products through Auxiliary Classifier Generative Adversarial Network.

Sensors (Basel, Switzerland)·2022
Same author

Data-Driven Haptic Texture Modeling and Rendering Based on Deep Spatio-Temporal Networks.

IEEE transactions on haptics·2021
Same author

Feature Fusion of Deep Spatial Features and Handcrafted Spatiotemporal Features for Human Action Recognition.

Sensors (Basel, Switzerland)·2019
Same journal

Poly(bromophenol blue)/CoSn(OH)<sub>6</sub> cubic particles modified pencil graphite electrode for electrochemical determination of diphenhydramine.

Scientific reports·2026
Same journal

Dietary Chlorella, Spirulina, and acidifier modulate jejunal cytokine-related gene expression in broiler chickens.

Scientific reports·2026
Same journal

Perceived physical activity barriers in university students: associations with fatigue and eating behaviours.

Scientific reports·2026
Same journal

Refuge limitation structures habitat use in agricultural landscapes: evidence from Sunda pangolins.

Scientific reports·2026
Same journal

Lightweight stateless transaction verification with outsourced witness updates for UTXO blockchains.

Scientific reports·2026
Same journal

Efficacy of historical context and exogenous features on deep learning for cooling load forecasting in chilled water plants.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Jan 10, 2026

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

3.2K

基于深光谱时空网络的抑郁症严重程度估计从语音.

Ishana Jabbar1, Md Azher Uddin2, Joolekha Bibi Joolee1

  • 1Mathematical and Computer Sciences department, Heriot-Watt University Dubai, 501745, Dubai, United Arab Emirates.

Scientific reports
|November 29, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的深度学习模型,用于从语言中估计抑郁症的严重程度. 新的光谱时光网络显著提高了使用语音线索检测这种精神健康障碍的准确性.

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

4.1K
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

2.0K

相关实验视频

Last Updated: Jan 10, 2026

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

3.2K
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

4.1K
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

2.0K

科学领域:

  • 计算语言学计算语言学
  • 精神病学是一个精神病学.
  • 机器学习是机器学习.

背景情况:

  • 抑郁症的诊断是具有挑战性的,因为它依赖于主观的临床评估.
  • 需要客观的方法来评估抑郁症的严重程度,以改善早期干预.
  • 语音分析为自动抑郁症检测提供了一个有希望的途径.

研究的目的:

  • 开发一种新的深层光谱时光网络,以从声音线索中估计抑郁症的严重程度.
  • 提高抑郁症严重程度评估的准确性和客观性.
  • 改进现有的基于语音的抑郁症分析机器学习方法.

主要方法:

  • 使用EfficientNet-B3从Mel光谱图中提取光谱特征.
  • 引入了一个新的卷本地社区编码模式 (VLNEP) 描述符,用于时空特征捕获.
  • 采用双流变压器模型,有效地融合光谱和时空特征.

主要成果:

  • 拟议的深光谱时间网络在估计抑郁症严重程度方面表现出卓越的表现.
  • 在AVEC2013和AVEC2014基准数据集上取得了最先进的结果.
  • 新的特征提取和融合技术显著提高了准确性.

结论:

  • 开发的框架提供了一种强大而准确的方法,用于使用语音自动估计抑郁症的严重程度.
  • 这种方法有可能帮助临床医生客观和及时诊断抑郁症.
  • 进一步的研究可以探索光谱时空分析在心理健康评估中的更广泛应用.