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: Etiology01:27

Depressive Disorders: Etiology

152
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...
152

You might also read

Related Articles

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

Sort by
Same author

Genetic Polymorphisms and Gene-Environment Interactions in Persistent Post-Stroke Depression.

Neuropsychiatric disease and treatment·2025
Same author

Incremental Value of Stroke-Induced Structural Disconnection in Predicting Global Cognitive Impairment After Stroke.

Stroke·2023
Same author

A review of attentional bias modification trainings for depression.

CNS neuroscience & therapeutics·2022
Same author

Target Recognition- and HCR Amplification-Induced In Situ Electrochemical Signal Probe Synthesis Strategy for Trace ctDNA Analysis.

Biosensors·2022
Same author

Knowledge, Attitude, and Practice regarding Narrative Medicine among Chinese Medical Personnel: An Online Cross-Sectional Survey.

Computational and mathematical methods in medicine·2022
Same author

Compensatory Genetic and Transcriptional Cytonuclear Coordination in Allopolyploid Lager Yeast (Saccharomyces pastorianus).

Molecular biology and evolution·2022
Same journal

Clock gene signature predicts insomnia and links to sleep/circadian parameters.

Translational psychiatry·2026
Same journal

Genome-wide pleiotropic analysis identifies shared genetic architecture within the cognition-immune nexus.

Translational psychiatry·2026
Same journal

Theta burst stimulation of extrastriate body area for body perception in anorexia nervosa: a randomized controlled trial.

Translational psychiatry·2026
Same journal

The distinct effects of metabolic syndrome on negative symptoms and on antipsychotic therapy of schizophrenia involve insular volume, functional connectivity, and genetic polymorphisms.

Translational psychiatry·2026
Same journal

Latent subdimensions of anxiety and depression differentially influence exertion of effort in pursuit of reward versus avoidance of threat.

Translational psychiatry·2026
Same journal

The cell-type specific interaction based drug repurposing for psychiatric disorders.

Translational psychiatry·2026
See all related articles

Related Experiment Video

Updated: Aug 23, 2025

A Middle Cerebral Artery Occlusion Technique for Inducing Post-stroke Depression in Rats
04:38

A Middle Cerebral Artery Occlusion Technique for Inducing Post-stroke Depression in Rats

Published on: May 22, 2019

10.4K

Structural disconnection-based prediction of poststroke depression.

Chensheng Pan1, Guo Li1, Ping Jing2

  • 1Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China.

Translational Psychiatry
|November 4, 2022
PubMed
Summary
This summary is machine-generated.

Structural disconnection patterns in the brain predict poststroke depression (PSD). A specific disconnection score independently predicts PSD and improves existing prediction models, offering new insights into brain-behavior mechanisms.

More Related Videos

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

2.4K
Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke
09:10

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke

Published on: February 22, 2020

8.7K

Related Experiment Videos

Last Updated: Aug 23, 2025

A Middle Cerebral Artery Occlusion Technique for Inducing Post-stroke Depression in Rats
04:38

A Middle Cerebral Artery Occlusion Technique for Inducing Post-stroke Depression in Rats

Published on: May 22, 2019

10.4K
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

2.4K
Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke
09:10

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke

Published on: February 22, 2020

8.7K

Area of Science:

  • Neuroscience
  • Neurology
  • Psychiatry

Background:

  • Poststroke depression (PSD) is a frequent complication following stroke.
  • Brain network disruptions are suspected contributors to PSD, but their precise roles remain unclear.

Purpose of the Study:

  • To identify the structural disconnection (SDC) pattern associated with PSD three months poststroke.
  • To evaluate the predictive capability of SDC information for PSD.

Main Methods:

  • A prospective cohort study of 697 first-ever acute ischemic stroke patients.
  • Collection of sociodemographic, clinical, psychological, and neuroimaging data at baseline.
  • Voxel-based disconnection-symptom mapping to identify SDC patterns and assess PSD at three months.

Main Results:

  • SDCs in bilateral temporal white matter, posterior corpus callosum, and adjacent to prefrontal and parietal cortices were linked to PSD.
  • The derived SDC score independently predicted PSD (OR=1.25, P=0.006) after covariate adjustment.
  • SDC score significantly enhanced the predictive model performance, demonstrating high predictor importance.

Conclusions:

  • A strategic, bilateral SDC pattern involving multiple brain lobes is identified as a predictor of PSD at three months.
  • The SDC score serves as an independent predictor of PSD and can augment existing clinical prediction models.
  • Findings provide novel evidence for the brain-behavior mechanisms underlying PSD and support the biopsychosocial theory.