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
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
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
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
Techniques of Therapeutic Communication II: Focusing, Paraphrasing, and Summarizing01:23

Techniques of Therapeutic Communication II: Focusing, Paraphrasing, and Summarizing

10.8K
Focusing involves centering a conversation on a message's critical elements or concepts. Focusing is valuable if the talk is vague or patients begin to repeat themselves. Sometimes, when patients are asked about their symptoms, they may go off-topic and try to tell their entire life story. Respectfully, the nurse should bring the conversation back into focus.
This therapeutic technique can also be used when a patient brings up pertinent information during a health-related conversation. The...
10.8K

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

An integrative NLP framework identifies multilevel linguistic phenotypes of schizophrenia across tasks.

Psychological medicine·2026
Same author

Multi-day heart rate variability monitoring via Holter electrocardiogram for depression detection: Clinical validation and translational challenges.

Comprehensive psychiatry·2026
Same author

Japanese version of the motivation to change lifestyle and health behaviors for dementia risk reduction scale: a cross-cultural validation.

International journal of public health·2026
Same author

An Objective Index of Office Workers' Well-Being Based on HRV-Derived Tone and Entropy: A 4-Week Observational Study.

Journal of occupational and environmental medicine·2026
Same author

Artificial Intelligence in Drug Discovery and Development: Raising Quality per Decision.

Pharmacopsychiatry·2026
Same author

Toward personalized classification and treatment in depression: A narrative review of digital phenotyping and artificial intelligence.

Psychiatry and clinical neurosciences·2026
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
查看所有相关文章

相关实验视频

Updated: Jan 9, 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

有效和有效的微调方法用于从对话中检测压力.

Kenyu Ikeuchi, Taishiro Kishimoto, Fumiya Nakai

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种新的微调方法,用于大型语言模型 (LLM) 以高精度和低内存使用率来检测抑郁. 这种方法超越了即时工程模型,为心理健康分析提供了更有效的解决方案.

    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
    Conventional Repetitive Transcranial Magnetic Stimulation for Depression: A Step-by-Step Protocol
    10:54

    Conventional Repetitive Transcranial Magnetic Stimulation for Depression: A Step-by-Step Protocol

    Published on: November 21, 2025

    243

    相关实验视频

    Last Updated: Jan 9, 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
    Conventional Repetitive Transcranial Magnetic Stimulation for Depression: A Step-by-Step Protocol
    10:54

    Conventional Repetitive Transcranial Magnetic Stimulation for Depression: A Step-by-Step Protocol

    Published on: November 21, 2025

    243

    科学领域:

    • 人工智能的人工智能
    • 计算精神病学是一种计算精神病学.
    • 自然语言处理自然语言处理.

    背景情况:

    • 抑郁症对社会产生重大影响,需要早期发现才能有效治疗.
    • 大型语言模型 (LLM) 在抑郁症检测方面表现有前途,提示工程在最近的研究中表现优于微调.
    • 为了检测抑郁症,微调的LLM传统上需要大量的内存,限制了可访问性.

    研究的目的:

    • 开发一种用于LLM的微调方法,比用于抑郁检测的提示性工程模型更高的精度.
    • 在LLM培训过程中尽量减少GPU内存需求.
    • 在公共和私人数据集上验证模型的性能.

    主要方法:

    • 量化了LLM的参数,以减少训练期间的记忆足迹.
    • 保留了原来的LLM结构,将其训练为生成模型,而不添加分类层.
    • 评估了DAIC-WOZ和用于抑郁症检测的私人PROMPT数据集上的模型.

    主要成果:

    • 在使用低GPU内存的DAIC-WOZ数据集上,在抑郁症检测方面获得了84%的F1得分.
    • 与即时工程模型相比,展示了卓越的性能.
    • 在私人PROMPT数据集上获得了82%的F1得分,这表明超出了训练前数据的稳定性.

    结论:

    • 拟议的微调方法有效地检测低压,准确度高,内存要求低.
    • 这种方法为基于LLM的抑郁症检测提供了一个更具记忆效率的替代方案.
    • 该模型在私人数据集上的强表现表明可概括性和减少对公开可用的预培训数据的依赖.