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

Brain Imaging01:14

Brain Imaging

787
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
787
Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders01:27

Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders

2.2K
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...
2.2K

You might also read

Related Articles

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

Sort by
Same author

Within-person associations between daily stress and physical activity during working and non-working hours.

Psychology of sport and exercise·2024
Same author

MIR137 polygenic risk for schizophrenia and ephrin-regulated pathway: Role in lateral ventricles and corpus callosum volume.

International journal of clinical and health psychology : IJCHP·2024
Same author

Identifying canonical and replicable multi-scale intrinsic connectivity networks in 100k+ resting-state fMRI datasets.

Human brain mapping·2023
Same author

Variability and magnitude of brain glutamate levels in schizophrenia: a meta and mega-analysis.

Molecular psychiatry·2023
Same author

Moving beyond the 'CAP' of the Iceberg: Intrinsic connectivity networks in fMRI are continuously engaging and overlapping.

NeuroImage·2022
Same author

Bone architecture, bone material properties, and bone turnover in non-osteoporotic post-menopausal women with fragility fracture.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA·2022

Related Experiment Video

Updated: Feb 24, 2026

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra
05:14

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra

Published on: September 8, 2021

4.7K

Multimodal Neuroimaging in Schizophrenia: Description and Dissemination.

C J Aine1,2, H J Bockholt1,3,4, J R Bustillo5

  • 1The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM, 87106, USA.

Neuroinformatics
|August 17, 2017
PubMed
Summary

This study presents a new open-access multimodal neuroimaging dataset for schizophrenia research. The collection includes brain scans and genetic data, aiming to advance understanding of schizophrenia through collaborative analysis.

Keywords:
COBRECOINSDTIGeneticsICAMATRICSMEGMagnetoencephalographyMemoryMultimodal integrationNeuroimagingSchizophreniaSensory gatingSpectroscopyTransverse patterningfMRI

More Related Videos

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

16.4K
A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
08:23

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

11.8K

Related Experiment Videos

Last Updated: Feb 24, 2026

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra
05:14

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra

Published on: September 8, 2021

4.7K
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

16.4K
A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
08:23

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

11.8K

Area of Science:

  • Neuroscience
  • Psychiatry
  • Genetics

Background:

  • Schizophrenia is a complex mental disorder with significant research challenges.
  • Multimodal data integration is crucial for understanding schizophrenia's underlying mechanisms.
  • Existing datasets often lack comprehensive multimodal and genetic information.

Purpose of the Study:

  • To create and release an open-access multimodal neuroimaging dataset for schizophrenia research.
  • To facilitate collaborative research and data-driven discovery in schizophrenia.
  • To provide a rich resource for investigating cognitive and neural processes in schizophrenia.

Main Methods:

  • Acquired multimodal neuroimaging data (structural MRI, functional MRI, diffusion MRI, MR spectroscopic imaging, magnetoencephalography) from ~100 schizophrenia patients and ~100 controls.
  • Collected neuropsychological data and genetic information (genome-wide polymorphism and methylation data) from participants.
  • Utilized task-based paradigms to assess sensory and cognitive processes, including auditory sensory gating and multisensory integration.

Main Results:

  • Presented initial findings from individual studies and data-driven multimodal analyses.
  • Demonstrated multimodal examinations of network structure, network dynamics, and multitask fMRI data.
  • Highlighted the potential for novel discoveries through integrated analysis of diverse data types.

Conclusions:

  • The open-access dataset provides a valuable resource for the scientific community.
  • Facilitates advanced research into the neurobiology of schizophrenia.
  • Encourages collaborative efforts to unravel the complexities of schizophrenia.