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

Positive Symptoms of Schizophrenia: Hallucinations and Delusions01:30

Positive Symptoms of Schizophrenia: Hallucinations and Delusions

236
Schizophrenia is a complex mental health disorder that can manifest with various positive symptoms, including thought, movement, and behavior disorders. These symptoms significantly disrupt cognitive and motor functions, leading to profound effects on an individual's ability to engage with the world.
Thought Disorders
Disorganized and unusual thought processes mark thought disorders in schizophrenia. One key feature is disorganized speech, where an individual's conversation includes...
236
Psychological and Sociocultural Causes of Schizophrenia01:29

Psychological and Sociocultural Causes of Schizophrenia

223
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...
223
Schizophrenia01:17

Schizophrenia

288
Schizophrenia, a term introduced by Swiss psychiatrist Eugen Bleuler in 1911, describes a severe psychological disorder marked by profound disruptions in attention, thought processes, language, emotion, and interpersonal relationships. The core feature of schizophrenia is psychosis — a state characterized by a fundamental detachment from reality. This disconnection manifests through distorted logic, impaired perception, and atypical behavior, severely affecting the lives of those...
288
Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders01:27

Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders

1.1K
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...
1.1K
Personality Disorders: Paranoid and Schizoid01:22

Personality Disorders: Paranoid and Schizoid

209
Personality disorders represent enduring cognition, affect, and behavior patterns that significantly deviate from societal norms. These maladaptive traits often lead to difficulties in various domains, including interpersonal relationships, occupational settings, and overall psychological well-being. Paranoid personality disorder and schizoid personality disorder are two distinct conditions marked by odd or eccentric behavior.
Paranoid Personality Disorder
Paranoid personality disorder is...
209
Biological Causes of Schizophrenia01:29

Biological Causes of Schizophrenia

177
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...
177

You might also read

Related Articles

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

Sort by
Same author

Converting negative symptom dimension scores across SANS and PANSS.

Schizophrenia research·2026
Same author

Longitudinally altered default mode network and insula multimodal brain pattern in end-stage renal disease during sustained hemodialysis treatment.

iScience·2026
Same author

Cerebellar structure is abnormal in schizophrenia and deviates from bipolar disorder.

NeuroImage. Clinical·2026
Same author

Individualized cortical gradient and network topology reveal symptom-linked disruptions and neurobiological subtypes in schizophrenia.

medRxiv : the preprint server for health sciences·2026
Same author

Multiscale characterization of cortical signatures in positive and negative schizotypy: a worldwide ENIGMA study.

Molecular psychiatry·2026
Same author

NeuroMark-SZ: A Holistic Resting-State-fMRI-Based Model for Divergent Functional Circuitry in Schizophrenia.

bioRxiv : the preprint server for biology·2026
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

Related Experiment Video

Updated: Oct 10, 2025

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

15.3K

Dynamic patterns within the default mode network in schizophrenia subgroups.

Mohammad S E Sendi, Elaheh Zendehrouh, Jessica A Turner

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 11, 2021
    PubMed
    Summary
    This summary is machine-generated.

    Schizophrenia patients exhibit altered brain connectivity. Higher symptom severity correlated with reduced connectivity in the anterior cingulate cortex (ACC) and posterior cingulate cortex (PCC), impacting default mode network (DMN) dynamics.

    More Related Videos

    Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
    12:09

    Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

    Published on: August 5, 2014

    18.2K
    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

    7.4K

    Related Experiment Videos

    Last Updated: Oct 10, 2025

    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

    15.3K
    Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
    12:09

    Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

    Published on: August 5, 2014

    18.2K
    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

    7.4K

    Area of Science:

    • Neuroscience
    • Psychiatry
    • Medical Imaging

    Background:

    • Schizophrenia (SZ) is a complex mental disorder characterized by disruptions in brain function.
    • Resting-state functional magnetic resonance imaging (rs-fMRI) is a key tool for investigating brain connectivity in SZ.
    • The default mode network (DMN) plays a crucial role in cognitive processes and is often implicated in SZ.

    Purpose of the Study:

    • To identify subgroups of schizophrenia patients based on demographic and cognitive data.
    • To analyze dynamic functional connectivity (dFC) of the DMN in these subgroups.
    • To investigate the relationship between DMN dFC patterns and clinical symptom severity.

    Main Methods:

    • rs-fMRI data from 125 schizophrenia subjects were analyzed.
    • Group independent component analysis (group-ICA) identified seven DMN subnodes.
    • Sliding window approach and k-means clustering characterized dFC into three brain states.
    • Statistical comparisons and hidden Markov model (HMM) analyzed state transitions and occupancy rates.

    Main Results:

    • Schizophrenia patients with higher Positive and Negative Syndrome Scale (PNASS) scores showed reduced connectivity within the anterior cingulate cortex (ACC) and between the ACC and posterior cingulate cortex (PCC).
    • Significant differences in state transitions were observed between patient subgroups, though not all reached statistical significance after multiple comparisons.
    • Dynamic functional connectivity (dFC) patterns varied across identified brain states.

    Conclusions:

    • Clinical symptom severity in schizophrenia is associated with specific alterations in DMN dynamic functional connectivity, particularly involving the ACC and PCC.
    • Subgroup analyses reveal distinct patterns of brain state transitions and connectivity within the DMN of schizophrenia patients.
    • These findings highlight the potential of DMN dFC as a biomarker for understanding schizophrenia heterogeneity and symptom severity.