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

Biological Causes of Schizophrenia01:29

Biological Causes of Schizophrenia

59
Schizophrenia, a severe psychiatric disorder, arises from a complex interplay of biological factors, including genetic predisposition, structural brain abnormalities, neurotransmitter dysregulation, and developmental irregularities. These factors collectively contribute to the onset and progression of the disorder, which typically manifests in late adolescence or early adulthood.
Genetic Factors in Schizophrenia
The genetic basis of schizophrenia is strongly supported by family and twin...
59
Psychological and Sociocultural Causes of Schizophrenia01:29

Psychological and Sociocultural Causes of Schizophrenia

91
Schizophrenia, a complex psychiatric disorder, has been historically misunderstood. Early psychological theories attributed its origins to childhood trauma and unresponsive parenting. However, contemporary research largely rejects these notions, favoring the vulnerability-stress hypothesis. This model proposes that individuals with a genetic predisposition to schizophrenia may develop the disorder following exposure to significant environmental stressors. Notably, studies on high-risk...
91
Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders01:27

Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders

677
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...
677
Sex-linked Disorders01:43

Sex-linked Disorders

102.2K
Like autosomes, sex chromosomes contain a variety of genes necessary for normal body function. When a mutation in one of these genes results in biological deficits, the disorder is considered sex-linked.
102.2K
Human Genetics01:28

Human Genetics

583
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...
583
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.5K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
13.5K

You might also read

Related Articles

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

Sort by
Same author

Relationship among Sleep Disturbance, Stress, and Suicidal Ideation in Clinical High Risk for Psychosis.

Schizophrenia bulletin open·2026
Same author

Group Joint ICA (gjICA): A Method for Multimodal Fusion of Concurrent EEG and fMRI Data.

Human brain mapping·2026
Same author

Developmental Trauma as a Prognostic Factor for Later Psychotic Disorder in an Adolescent Clinical Cohort: A 20-Year Follow Up Study.

Acta psychiatrica Scandinavica·2026
Same author

Converting negative symptom dimension scores across SANS and PANSS.

Schizophrenia research·2026
Same author

Systematic Review and Meta-Analysis: Prevalence, Correlates, and Impact of Cannabis Use and Cannabis Use Disorder in Early-Onset Psychosis.

Journal of the American Academy of Child and Adolescent Psychiatry·2026
Same author

Robustness of NeuroMark-derived functional networks to fMRI spatial normalization across the human lifespan.

NeuroImage·2026

Related Experiment Video

Updated: Jul 9, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.7K

Spatial Dynamic Subspaces Encode Sex-Specific Schizophrenia Disruptions in Transient Network Overlap and Their Links

Armin Iraji1, Jiayu Chen2, Noah Lewis3

  • 1Tri-Institutional Center for Translational Research in Neuroimaging and Data Science, Atlanta, Georgia; Department of Computer Science, Georgia State University, Atlanta, Georgia.

Biological Psychiatry
|December 9, 2023
PubMed
Summary

This study reveals sex-specific brain network alterations in schizophrenia, linking dynamic connectivity changes to genetic risk. Our findings offer a unified understanding of schizophrenia mechanisms and highlight potential clinical applications.

Keywords:
Polygenic risk scoreSchizophrenia (SZ)Sex differencesSingle nucleotide polymorphism (SNP)Spatial dynamicsSpatially dynamic covariance

More Related Videos

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.3K
Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

14.9K

Related Experiment Videos

Last Updated: Jul 9, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.7K
Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.3K
Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

14.9K

Area of Science:

  • Neuroscience
  • Psychiatry
  • Genetics

Background:

  • Schizophrenia exhibits sex differences in incidence, symptoms, genetics, and brain function.
  • Understanding sex-specific alterations in brain network dynamics in schizophrenia remains a challenge.
  • Schizophrenia is viewed as a dysconnectivity syndrome, with limited knowledge of dynamic network integration and segregation.

Purpose of the Study:

  • To investigate sex-specific alterations in time-resolved spatial functional network connectivity in schizophrenia.
  • To explore the relationship between dynamic brain network alterations and genetic risk factors in schizophrenia.
  • To unify existing schizophrenia dysconnectivity models through the analysis of dynamic network interactions.

Main Methods:

  • Adapted a reference-informed network estimation technique to analyze time-resolved functional network connectivity.
  • Studied 193 individuals with schizophrenia and 315 control participants.
  • Focused on spatial functional network connectivity to identify sex-specific changes and genomic correlations.

Main Results:

  • Findings support dysconnectivity and neurodevelopment hypotheses, unifying models like cerebello-thalamo-cortical and frontoparietal networks.
  • Observed sex-specific alterations in posterior default mode/salience network connectivity during high integration states.
  • These alterations correlate with genetic risk for schizophrenia and are associated with regions of weak functional connectivity.

Conclusions:

  • The developed method effectively captures dynamic brain networks and detects nuanced, sex-specific schizophrenia effects.
  • Results reveal intricate links between dynamic network information and genomic data.
  • The study highlights the clinical potential of dynamic spatial dependence and weak connectivity in understanding schizophrenia.