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

Human Genetics01:28

Human Genetics

557
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
557
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.6K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.6K
Theoretical Approaches to Psychological Disorder01:29

Theoretical Approaches to Psychological Disorder

217
The development of psychological disorders, which are characterized by deviant, maladaptive, and personally distressing behaviors, has been explored through several theoretical approaches.
Biological approach
The biological approach posits that internal, organic factors are the primary causes of such disorders. This perspective emphasizes brain structure and function, genetic predispositions, and neurotransmitter imbalances. For example, schizophrenia has been associated with both genetic...
217
Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders01:27

Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders

569
Schizophrenia is a neurodevelopmental disorder whose origins are rooted in complex genetic components. Despite our burgeoning understanding, the pathophysiology of this disorder remains incompletely deciphered.
Researchers have identified genetic factors that increase susceptibility to schizophrenia, underscoring the intricate interplay between genetics and environment in disease development. At the core of schizophrenia's pathophysiology is excessive dopaminergic neurotransmission within...
569
Psychosis: Goals of Pharmacotherapy01:26

Psychosis: Goals of Pharmacotherapy

122
Antipsychotic drugs are a crucial treatment method for acute and chronic psychoses, bipolar illness, and behavioral disorders. The selection of these drugs depends on several factors, including the state of the disease, clinical judgment, possible drug interactions, and the patient's sensitivity to adverse effects. In immediate scenarios, such as delirium and dementia, short-term treatment with low doses of high-potency typical or atypical agents can effectively manage symptom exacerbation.
122
Diagnostic and Statistical Manual of Mental Disorders (DSM)01:27

Diagnostic and Statistical Manual of Mental Disorders (DSM)

54
The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...
54

You might also read

Related Articles

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

Sort by
Same author

Thalamic nuclei volumes across psychiatric and neurological disorders: a multi-site magnetic resonance imaging study.

Translational psychiatry·2026
Same author

Resting-State Brain Age Predicts Cognitive and Sensorimotor Deficits in Schizophrenia Spectrum Disorders: A Validation & Longitudinal Study.

Research square·2026
Same author

Normative age-related structural brain deviations underlying psychopathology, cognitive impairment and neurological soft signs in schizophrenia spectrum disorders.

Translational psychiatry·2026
Same author

Genetic pathways linking oxytocin-vasotocin hypothalamic subunit architecture with psychiatric and metabolic traits.

Molecular psychiatry·2026
Same author

Integrating differential privacy into federated multi-task learning algorithms in <b>dsMTL</b>.

Bioinformatics advances·2025
Same author

The BMIgap tool to quantify transdiagnostic brain signatures of current and future weight.

Nature. Mental health·2025

Related Experiment Video

Updated: Jun 23, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K

Knowledge graphs in psychiatric research: Potential applications and future perspectives.

Sebastian Freidel1,2, Emanuel Schwarz1,2

  • 1Hector Institute for Artificial Intelligence in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Acta Psychiatrica Scandinavica
|June 17, 2024
PubMed
Summary

Knowledge graphs (KGs) offer significant potential for psychiatric research, leveraging AI and LLMs. This review highlights KG applications for advancing understanding and treatment of mental health disorders.

Keywords:
knowledge graphsmachine learningpersonalized medicinepsychiatry

More Related Videos

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.1K
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.2K

Related Experiment Videos

Last Updated: Jun 23, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.1K
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.2K

Area of Science:

  • Integrative computational psychiatry
  • Biomedical informatics
  • Artificial Intelligence in healthcare

Background:

  • Knowledge graphs (KGs) are underutilized in psychiatric research despite their established role in broader biomedical fields.
  • KGs serve as valuable knowledge databases and facilitate the detection of novel relationships between biomedical entities.
  • The integration of Artificial Intelligence (AI) and Large Language Models (LLMs) presents new opportunities for KG applications in psychiatry.

Purpose of the Study:

  • To explore and outline the potential of Knowledge Graphs (KGs) to advance psychiatric research.
  • To identify and recommend specific use-cases for KG applications within the field of psychiatry.
  • To bridge the gap between existing KG applications in related fields and their potential in mental health research.

Main Methods:

  • Conducted a comprehensive literature review across computer science, knowledge engineering, and bioinformatics.
  • Searched major academic databases (PubMed, Semantic Scholar, Google Scholar) using relevant keywords.
  • Assessed and synthesized publications for their applicability to future psychiatric research.

Main Results:

  • Identified numerous KG applications in related research fields that are currently underutilized in psychiatry.
  • Detailed recommendations for computational researchers on leveraging existing KG applications for psychiatric research.
  • Highlighted the potential of KGs in areas such as biomarker discovery and personalized medicine.

Conclusions:

  • Knowledge graphs offer a promising avenue for elucidating the complex biology of psychiatric disorders.
  • KG-based research can facilitate the development of innovative interventions and personalized medicine approaches in psychiatry.
  • Significant opportunities exist for KG utilization in psychiatric research, including patient stratification and biomarker discovery.