Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Depression: Overview01:18

Depression: Overview

221
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,...
221
Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

51
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...
51
Depressive Disorders: MDD and Dysthymia01:27

Depressive Disorders: MDD and Dysthymia

61
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...
61
Long-term Depression01:03

Long-term Depression

2.5K
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...
2.5K
Antidepressant Drugs: MAOIs and Other Agents01:23

Antidepressant Drugs: MAOIs and Other Agents

196
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...
196
Antidepressant Drugs: Overview01:25

Antidepressant Drugs: Overview

367
Antidepressant drugs are a class of medications primarily used for treating various mood disorders, including major depression, anxiety disorders, and other related conditions. These medicines work by modulating the neurotransmitter balance within the brain, alleviating depressive symptoms. Antidepressants can be broadly categorized into several groups according to their mechanism of action and chemical structure: Selective Serotonin Reuptake Inhibitors (SSRIs), Serotonin-Norepinephrine...
367

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Digital Health Monitoring and Intervention Suite for Stress in Frontline Nurses: Prospective Cohort Trial.

JMIR formative research·2026
Same author

Effectiveness and safety of hyperbaric oxygen therapy for psychiatric disorders: A systematic review and meta-analysis.

Psychiatry and clinical neurosciences·2026
Same author

Subgenual anterior cingulate cortex in major depression: a systematic review and meta-analysis of MRI studies with patients and healthy controls.

Translational psychiatry·2026
Same author

Life stressors and mental health: Depressive symptoms, anxiety, and suicidal ideation or intent during and after the COVID-19 pandemic.

PloS one·2026
Same author

Understanding digital navigators in health care: a scoping review protocol.

JBI evidence synthesis·2026
Same author

Magnetic Resonance Imaging-Guided Neuronavigation for Transcranial Magnetic Stimulation in Mood Disorders: Technical Foundation, Advances, and Emerging Tools.

Human brain mapping·2025
Same journal

Determining the Relationship Between People's Explicit and Implicit Preferences for Gender-Inclusive Sexual and Reproductive Health Content: Randomized Controlled Trial.

Interactive journal of medical research·2026
Same journal

Generosity as a Scientific Method: Building Knowledge and Community in a Competitive World.

Interactive journal of medical research·2026
Same journal

Barriers and Facilitators to Physician-Patient Communication in Chinese Tertiary Hospitals From the Perspectives of Hospital-Based Physicians and Patient Relations Coordinators: Qualitative Study.

Interactive journal of medical research·2026
Same journal

Enhancing Transparency, Auditability, and Reproducibility of Deduplication in Systematic Reviews: A Tutorial for the Rayyan Method and Systematic Auto Resolver Feature.

Interactive journal of medical research·2026
Same journal

Identification of the Core Competencies Required in Endodontics for Undergraduate Students in Syrian Dental Schools by Using a Modified Delphi Technique: Prospective Exploratory Survey Study.

Interactive journal of medical research·2026
Same journal

Digital Interventions Addressing Cognitive and Psychological Symptoms in Long COVID: Scoping Review of Multicomponent Approaches.

Interactive journal of medical research·2026
See all related articles

Related Experiment Video

Updated: Jun 8, 2025

Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
04:33

Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression

Published on: April 26, 2024

608

Screening for Depression Using Natural Language Processing: Literature Review.

Bazen Gashaw Teferra1, Alice Rueda1, Hilary Pang1

  • 1Unity Health Toronto, St. Michael's Hospital, Interventional Psychiatry Program, Toronto, ON, Canada.

Interactive Journal of Medical Research
|November 4, 2024
PubMed
Summary
This summary is machine-generated.

Natural language processing (NLP) shows promise for depression screening, but ethical issues and bias must be addressed. Further research is needed to improve NLP models for mental health applications.

Keywords:
NLPRDoCcross-culturaldeep learningdepressionlarge language modelsmachine learningnatural language processingresearch domain criteriasentiment analysistransformer-based models

More Related Videos

Vagus Nerve Stimulation As an Adjunctive Neurostimulation Tool in Treatment-resistant Depression
04:29

Vagus Nerve Stimulation As an Adjunctive Neurostimulation Tool in Treatment-resistant Depression

Published on: January 7, 2019

28.5K
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

Related Experiment Videos

Last Updated: Jun 8, 2025

Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
04:33

Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression

Published on: April 26, 2024

608
Vagus Nerve Stimulation As an Adjunctive Neurostimulation Tool in Treatment-resistant Depression
04:29

Vagus Nerve Stimulation As an Adjunctive Neurostimulation Tool in Treatment-resistant Depression

Published on: January 7, 2019

28.5K
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

Area of Science:

  • Computational Linguistics
  • Artificial Intelligence in Healthcare
  • Mental Health Technology

Background:

  • Depression is a widespread mental health issue with significant global impact.
  • Natural language processing (NLP) offers potential for improved depression screening through text analysis.
  • Challenges and ethical considerations exist in applying NLP to mental health.

Purpose of the Study:

  • To review NLP methods for depression detection.
  • To discuss the successes and limitations of these methods.
  • To address ethical concerns and potential biases in NLP for depression screening.

Main Methods:

  • Literature search across Semantic Scholar, PubMed, and Google Scholar.
  • Keywords: "depression screening," "depression detection," "natural language processing."
  • Data extraction and synthesis of relevant studies on NLP applications in depression screening.

Main Results:

  • NLP techniques like sentiment analysis, linguistic markers, and deep learning show utility in depression screening.
  • Machine learning and large language models demonstrate high accuracy.
  • Ethical concerns include privacy, bias, interpretability, and lack of regulation; cultural sensitivity is also crucial.

Conclusions:

  • NLP offers opportunities to enhance depression detection but faces persistent challenges.
  • Addressing ethical concerns, establishing governance, and integrating cross-cultural perspectives are essential.
  • Future work should focus on interpretability, personalization, and collaboration with domain experts.