NSTL国家科技图书文献中心

1. Detecting Depression from Audio Data NSTL国家科技图书文献中心

Mary Idamkina | Andrea Corradini - 《Speech and Computer,Part I》 - International Conference on Speech and Computer - 2025, - 336～351 - 共16页

摘要： the biomarkers of depression. Previous studies in | the area of automatic detection of depression* from* | detection of depression* from audio data. We use only low* | proved to be important for recognizing depression. Such | and the set of relevant features for depression

关键词： Machine learning | Speech analysis | Depression detection

2. Youth Depression After an Environmental Disaster: Is There a Relationship to Caregiver Stress and Depression? NSTL国家科技图书文献中心

Dannis, Jacqueline | Jenuwine, Sarah ... - 《Child: care, health and development》 - 2025,51(2) - e70058～e70058 - 共7页

摘要： challenges, including depression. Many factors increase the | aims to answer the question: How do depression | with national norms and how are child depression | symptoms related to parental/caregiver depression | depression symptoms; the Quality of Life in Neurological

关键词： depression | environmental disaster | girls | mental health | parental stress

3. Zuranolone for the Treatment of Postpartum Depression NSTL国家科技图书文献中心

St. Onge, Erin | Patel, Priti ... - 《The Journal of pharmacy technology》 - 2025,41(1) - 32～37 - 共6页

摘要：, postpartum depression, perinatal depression, SAGE-217, and | treating patients with postpartum depression. Common | depression include selective serotonin reuptake inhibitors | depression. Zuranolone, the newest medication in its class | option for treating postpartum depression.

关键词： zuranolone | postpartum depression | perinatal depression | major depressive disorder | SAGE-217 | allopregnanolone analogue

4. Using Passive Sensing to Identify Depression NSTL国家科技图书文献中心

Evi Zafeiridi | Malik Muhammad Qirta...... - 《Bridging the Gap Between AI and Reality》 - International Conference on Bridging the Gap between AI and Reality - 2025, - 132～143 - 共12页

摘要：Depression is a common mental health issue | feelings. However, depression* can often be underdiagnosed* | depression can help to reduce the severity of the condition | problems, including depression. In line with the scope of | depression among 52 adults in a three-week study. Sensing

关键词： Passive sensing | Smartphones | Fitness trackers | Depression

5. Peripartum Depression: What's New? NSTL国家科技图书文献中心

Vitte, Lisa | Rados, Sandra Nakic ... - 《Current psychiatry reports》 - 2025,27(1) - 31～40 - 共10页 - 被引量：1

摘要：Purpose of the ReviewPeripartum depression | (PPD), including both depression* during pregnancy and* | postpartum, is the most frequent health disorder during the | perinatal period. It is a significant public health issue | in many countries due to its prevalence and its

关键词： Perinatal psychiatry | Peripartum depression | PPD diagnosis | Offspring emotional development | Parent-infant interaction

6. Bibliometric Analysis of Alzheimer's Disease and Depression NSTL国家科技图书文献中心

Li, Sixin | Zhang, Qian ... - 《Current neuropharmacology.》 - 2025,23(1) - 98～115 - 共18页

摘要： disease and depression* has been confirmed by clinical* | depression-related research works on Alzheimer's disease | . Furthermore, "Alzheimer's", "depression", "dementia", and | "depression" displayed an upward trend. The prevalent themes | addressed were the mechanisms of depression-associated

关键词： Alzheimer's | depression | bibliometric analysis | hotspots | CiteSpace | VOSviewer

7. Audio Depression Recognition Based on Deep Learning NSTL国家科技图书文献中心

Aimin Pan | Mideth B. Abisado ... - 《Workshop on Electronics Communication Engineering (WECE 2024)》 - Workshop on Electronics Communication Engineering - 2025, - 1355306.1～1355306.10 - 共10页

摘要：Depression is characterized by significant and | people with depression. This paper presented an audio | depression regression prediction model (DR AudioNet) based | reducingthe sample size. The proposed audio depression | diagnosis of depression.

关键词： Automated depression diagnosis | Speech signal processing | Deep learning | Audio features

8. Depression unveiled: Insights into etiology and animal models for behavioral assessment, exploring the multifactorial nature and treatment of depression NSTL国家科技图书文献中心

More, Sachin | Kaleem, Mohammed ... - 《Brain research》 - 2025,1847 - 149313～149313 - 共15页 - 被引量：1

摘要：. Among these, anxiety and depression* stand out as* | nations. Depression, according to the DSM-5, is a | theories of depression* highlight its impact on judgment* | and depression, especially among adolescents and | comprehensive exploration of depression* and anxiety, covering*

关键词： Depression | Oxidative stress | Animal model | Etiology of depression | Neurotrophins | Monoamine theory

9. Neurotyping depression using multiple event-related potentials (ERPs): Leveraging task-based variation to predict remission in depression NSTL国家科技图书文献中心

Hajcak, Greg | Santopetro, Nicholas ... - 《Progress in Neuro-Psychopharmacology & Biological Psychiatry》 - 2025,136 - 111233～111233 - 共7页

摘要：Aims: Depression* is a prevalent, burdensome* | course of depression* hinders treatment success. Efforts* | depression could reduce heterogeneity of depression and | be used to identify depression* and predict course* | function and individual differences in depression* using*

关键词： Depression | Precision psychiatry | EEG | Event-related potentials

10. Depression and obesity: Focus on factors and mechanistic links NSTL国家科技图书文献中心

Selman, Ashley | Dai, Jean ... - 《Biochimica et biophysica acta.Molecular basis of disease》 - 2025,1871(1) - 167561～167561 - 共12页

摘要： symptoms. Depression* can interfere with daily life and* | become a serious health condition. Depression* is* | means. Atypical depression, a common form of MDD, is | obesity. Obesity and depression* have a bidirectional* | depressive disorders and how obesity perpetuates depression

关键词： Major depressive disorder | Persistent depressive disorder | Perinatal depression | Atypical depression | Seasonal affective disorder | Depression | Psychosis

摘要： the biomarkers of depression. Previous studies in | the area of automatic detection of depression from | detection of depression from audio data. We use only low | proved to be important for recognizing depression. Such | and the set of relevant features for depression