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

Depressive Disorders: MDD and Dysthymia01:27

Depressive Disorders: MDD and Dysthymia

988
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...
988
Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

822
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...
822
Diagnostic and Statistical Manual of Mental Disorders (DSM)01:27

Diagnostic and Statistical Manual of Mental Disorders (DSM)

1.5K
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...
1.5K
Depression: Overview01:18

Depression: Overview

1.1K
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,...
1.1K
Classification of Illness01:17

Classification of Illness

9.2K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
9.2K
Long-term Depression01:03

Long-term Depression

3.5K
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...
3.5K

You might also read

Related Articles

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

Sort by
Same author

Test of CP Symmetry in the Neutral Decays of Λ via J/ψ→ΛΛ[over ¯].

Physical review letters·2026
Same author

Precise Measurement of the Chromoelectric Dipole Moment of the Charm Quark.

Physical review letters·2026
Same author

Precise Measurement of Matter-Antimatter Asymmetry with Entangled Hyperon-Antihyperon Pairs.

Physical review letters·2026
Same author

Observation of Λ[over ¯]p→K^{+}π^{+}π^{-}π^{0} and Λ[over ¯]p→K^{+}π^{+}π^{-}2π^{0}.

Physical review letters·2026
Same author

First Measurement of the D_{s}^{+}→K^{0}μ^{+}ν_{μ} Decay.

Physical review letters·2026
Same author

Observation of the Electromagnetic Radiative Decays of the Λ(1520) and Λ(1690) to γΣ^{0}.

Physical review letters·2026

Related Experiment Video

Updated: Mar 13, 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

3.6K

A support vector machine model provides an accurate transcript-level-based diagnostic for major depressive disorder.

J S Yu1, A Y Xue1, E E Redei2

  • 1Chemical and Biological Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA.

Translational Psychiatry
|October 26, 2016
PubMed
Summary

Researchers developed a blood test for major depressive disorder (MDD) using transcript levels. This new diagnostic tool achieved 90.6% accuracy, offering a promising step towards personalized psychiatric medicine.

More Related Videos

Animal Models of Depression - Chronic Despair Model CDM
05:47

Animal Models of Depression - Chronic Despair Model CDM

Published on: September 23, 2021

8.2K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.2K

Related Experiment Videos

Last Updated: Mar 13, 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

3.6K
Animal Models of Depression - Chronic Despair Model CDM
05:47

Animal Models of Depression - Chronic Despair Model CDM

Published on: September 23, 2021

8.2K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.2K

Area of Science:

  • Psychiatry
  • Genomics
  • Biomarker Discovery

Background:

  • Major depressive disorder (MDD) significantly impacts global morbidity and economic productivity.
  • Accurate diagnosis of MDD is challenging, leading to underdiagnosis and misdiagnosis.
  • There is a critical need for objective diagnostic tools in psychiatric care.

Purpose of the Study:

  • To develop and validate an objective blood-based diagnostic test for MDD.
  • To utilize transcriptomic data and machine learning for diagnostic classification.
  • To establish a reliable method for identifying individuals with major depressive disorder.

Main Methods:

  • A supervised classification model using support vector machines (SVMs) was employed.
  • Transcriptomic data from peripheral blood specimens of MDD patients and controls were analyzed.
  • The SVM model was trained on data from 32 MDD subjects and 32 matched controls.

Main Results:

  • The SVM model demonstrated a cross-validated sensitivity and specificity of 90.6% for MDD diagnosis.
  • A panel of 10 transcripts was identified as key diagnostic markers.
  • A logistic equation was applied to quantify a likelihood of depression score, enabling personalized medicine.

Conclusions:

  • An objective blood test for MDD using transcript levels is feasible and highly accurate.
  • This approach offers a significant advancement in psychiatric diagnostics and personalized treatment.
  • The developed model and score can improve diagnostic accuracy and patient care in psychiatry.