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

Modeling in Therapy01:26

Modeling in Therapy

336
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
336
Sensory Modalities01:15

Sensory Modalities

3.6K
Sensation typically is the process by which the sensory receptors and sense organs detect stimuli from the internal and external environment and transmit this information to the central nervous system for processing.
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
3.6K
Dissociative Disorders01:27

Dissociative Disorders

383
Dissociative disorders represent complex psychological conditions characterized by disruptions in consciousness, memory, identity, or perception. These disruptions cause individuals to experience a disconnection from their thoughts, emotions, and memories. The phenomenon is not merely an occasional lapse in attention but a profound alteration in mental functioning that can severely impact daily life.
Dissociative Fugue
A hallmark feature of dissociative disorders is the dissociative fugue...
383
Negative and Cognitive Symptoms of Schizophrenia01:30

Negative and Cognitive Symptoms of Schizophrenia

351
Negative symptoms of schizophrenia indicate a reduction or absence of typical behaviors and emotional responses found in healthy individuals, while positive symptoms reflect an excess or distortion of normal functioning.
Negative Symptoms
Negative symptoms of schizophrenia manifest as deficits in normal emotional and behavioral functioning, profoundly impacting daily life. Individuals with schizophrenia often display a flat affect, characterized by a near-total absence of emotional expression,...
351
Schemas01:42

Schemas

12.2K
A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
12.2K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

453
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
453

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

Sensorimotor recovery and neuropathic pain reduction after remotely delivered cognitive multisensory rehabilitation or remotely delivered exercise in adults with spinal cord injury: a pilot clinical trial.

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

AI-associated delusions: terminology.

The lancet. Psychiatry·2026
Same author

Largely Typical Neural Activation During Monetary Reward Receipt in People With Psychosis-Spectrum Disorders and First-Degree Relatives.

Schizophrenia bulletin·2026
Same author

Electroencephalography Microstate Instability and Clinical Outcomes in Individuals at Clinical High Risk of Psychosis.

JAMA psychiatry·2026
Same author

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

NeuroImage. Clinical·2026

Related Experiment Video

Updated: Dec 30, 2025

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

8.9K

Meta-Modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia.

Haleh Falakshahi, Victor M Vergara, Jingyu Liu

    IEEE Transactions on Bio-Medical Engineering
    |January 17, 2020
    PubMed
    Summary

    Integrating multiple brain imaging types reveals crucial network disruptions in schizophrenia (SZ) that single methods miss. This approach enhances understanding of SZ-related disconnectivity by analyzing cross-modal information.

    More Related Videos

    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    20.4K
    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
    07:12

    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

    Published on: July 1, 2014

    12.6K

    Related Experiment Videos

    Last Updated: Dec 30, 2025

    Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
    12:55

    Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

    Published on: September 27, 2020

    8.9K
    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    20.4K
    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
    07:12

    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

    Published on: July 1, 2014

    12.6K

    Area of Science:

    • Neuroimaging
    • Computational Psychiatry
    • Network Science

    Background:

    • Multimodal data offer complementary insights into complex phenomena like diseases.
    • Relying on single data types can lead to incomplete or erroneous conclusions, particularly in studying brain disorders.
    • Schizophrenia (SZ) is hypothesized to involve network disconnectivity and dysfunction.

    Purpose of the Study:

    • To introduce a novel method leveraging multimodal data to test hypotheses of disconnectivity and dysfunction in schizophrenia.
    • To identify network disruptions in SZ that are not detectable using single imaging modalities.

    Main Methods:

    • Utilized Gaussian graphical models (GGMs) to estimate and visualize links within and across multimodal brain data.
    • Developed a modularity-based method applied to GGMs to detect mental illness-associated links.
    • Analyzed functional MRI (fMRI), diffusion MRI (dMRI), and structural MRI (sMRI) data, computing fractional amplitude of low frequency fluctuations (fALFF), fractional anisotropy (FA), and gray matter (GM) concentration maps.

    Main Results:

    • Identified critical cross-modal links crucial for understanding component disconnectivity, which were missed by single-modality analyses.
    • Revealed multimodal disconnectivity within the default mode network in schizophrenia patients.

    Conclusions:

    • The proposed method effectively captures distributed information across multiple imaging modalities.
    • This approach provides a valuable new tool for analyzing complex brain network alterations in psychiatric disorders like schizophrenia.