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

432
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,...
432
Depressive Disorders: MDD and Dysthymia01:27

Depressive Disorders: MDD and Dysthymia

241
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...
241
Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

182
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...
182
Substance Use Disorders Affecting Sleep01:24

Substance Use Disorders Affecting Sleep

239
Substance use disorders involve a pattern of using drugs more extensively than intended and continuing use despite harmful consequences. This includes legal substances like alcohol and nicotine, as well as illegal drugs. These disorders often involve both physical and psychological dependence, reflecting compulsive use of substances that significantly alter thoughts, feelings, and behaviors, contributing to a major public health issue.
Understanding the concepts of physical dependence,...
239
REM Sleep Behavior Disorder01:15

REM Sleep Behavior Disorder

506
REM Sleep Behavior Disorder (RBD) is a sleep disorder characterized by the absence of muscle paralysis that normally occurs during the REM phase of sleep. This absence allows individuals to physically act out their dreams, which are often vivid and disturbing. Common behaviors exhibited during episodes include kicking, punching, and yelling. These actions can be dangerous, potentially leading to injuries for the person with RBD or their bed partner.
RBD is significantly associated with...
506
Long-term Depression01:03

Long-term Depression

2.7K
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...
2.7K

You might also read

Related Articles

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

Sort by
Same author

Intraoperative Urine Tests and STONE Score Predict Postoperative SIRS (Systemic Inflammatory Response Syndrome) After PCNL in Patients with Negative Preoperative Urine Culture.

International journal of general medicine·2026
Same author

Rethinking Alzheimer's Origins: Antimicrobial Amyloid and Tau Point to Potential Upstream Immune Triggers.

Neuroscience bulletin·2026
Same author

A prediction model based on tumor immune microenvironment for immunotherapy response in gastric cancer.

Scientific reports·2026
Same author

Exceptional CO<sub>2</sub> Hydrogenation to Gasoline Enabled by GaZrO<sub>x</sub>/Ga-ZSM-5 Tandem Catalyst.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Duckweed (<i>Lemnaceae</i>) as a Functional Protein Ingredient in Koi Carp Diets: Species-Dependent Effects on Growth, Pigmentation, Antioxidant Status, and Gut Health.

Aquaculture nutrition·2026
Same author

Urinary Polycyclic Aromatic Hydrocarbons and Advanced Cardiovascular-Kidney-Metabolic Syndrome: Inflammatory-Nutritional Pathways as Mediators.

Mediators of inflammation·2026

Related Experiment Video

Updated: Oct 17, 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

874

Characterization of specific spatial functional connectivity difference in depression during sleep.

Jiakai Lian1, Yingjie Song1, Yangting Zhang1

  • 1School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China.

Journal of Neuroscience Research
|October 12, 2021
PubMed
Summary

Researchers identified new biomarkers for depression using sleep electroencephalography (EEG) functional connectivity (FC). Abnormalities in inter-hemispheric connections, particularly in the temporal lobe

Keywords:
depressionelectroencephalographyfunctional connectivitysleepweighted phase lag index

More Related Videos

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.4K
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

2.7K

Related Experiment Videos

Last Updated: Oct 17, 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

874
Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.4K
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

2.7K

Area of Science:

  • Neuroscience
  • Psychiatry
  • Biomarkers

Background:

  • Depression is a prevalent mental illness with ongoing research for effective biomarkers.
  • Limited research exists on functional connectivity (FC) during sleep in depression.
  • Sleep electroencephalography (EEG) offers a potential avenue for identifying depression-related biomarkers.

Purpose of the Study:

  • To propose a novel method for characterizing depression using spatial FC features from sleep EEG.
  • To investigate abnormalities in sleep cortical activity in patients with depression.
  • To identify potential biomarkers for depression screening and understanding its pathological mechanisms.

Main Methods:

  • Overnight polysomnography recordings from 26 healthy individuals and 25 patients with depression.
  • Calculation of weighted phase lag indexes (WPLIs) across four frequency bands and five sleep periods from 16 EEG channels.
  • Utilized high discriminative connections and cross-within variation (CW) feature for classification.

Main Results:

  • Patients exhibited enhanced average FC and spatial differences compared to controls.
  • Patients showed higher inter-hemispheric FC and lower intra-hemispheric FC.
  • Abnormalities in theta band inter-hemispheric temporal lobe connections were identified as key indicators.

Conclusions:

  • Both CW and WPLI features demonstrated effectiveness in depression screening.
  • CW feature showed higher specificity in characterizing abnormal cortical EEG performance in depression.
  • The study provides potential biomarkers for depression identification and insights into its pathophysiology.