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

The Blood-brain Barrier00:49

The Blood-brain Barrier

51.1K
Overview
51.1K
Organization of the Brain01:30

Organization of the Brain

1.9K
The brain is an integral component of the nervous system and serves as the center for processing sensory inputs, making decisions, and directing bodily actions. This complex organ is organized into three primary sections: the hindbrain, midbrain, and forebrain, each responsible for a range of vital functions.
Hindbrain
The hindbrain, located at the base of the brain, plays a vital role in regulating automatic processes that sustain life. It includes the medulla oblongata, which is essential for...
1.9K

You might also read

Related Articles

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

Sort by
Same author

Autism Sensory Profiles Predict Stimulus- Evoked Insula Connectivity.

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

BiSCoT: Behavior-Informed Subgroup-Consistent Connectome Template for Interpretable Brain Network Analysis.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same author

Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same author

Characterizing Heterogeneity in Brain Morphology in Traumatic Brain Injury Using Normative Modeling.

Neurology·2026
Same author

Revealing gender differences in concussion reporting: a detailed analysis of SCAT assessment self-report symptom ratings.

Frontiers in neurology·2025
Same author

Widespread associations between behavioral metrics and brain microstructure in ASD suggest age mediates subtypes of ASD.

Imaging neuroscience (Cambridge, Mass.)·2025
Same journal

Big Data-Driven Video Anomaly Detection Using VideoMAE for Visual Analytics in CCTV Surveillance.

Big data·2026
Same journal

Agentic Artificial Intelligence-Driven Explainable Deep Learning for Deciphering Noncoding Pathogenic Mechanisms of Delirium Through Genomic Big Data Integration.

Big data·2026
Same journal

Personalized Driven Instruction Through Explainable Agentic AI in Multicultural Higher Education Environments.

Big data·2026
Same journal

Big Data-Driven Explainable Agentic AI Decision Frameworks for Enterprise Innovation in FinTech Ecosystems.

Big data·2026
Same journal

An Edge-Enabled Low-Latency Cross-Lingual Speech-to-Text Framework for Efficient Human-Robot Interaction.

Big data·2026
Same journal

DS<sup>2</sup>PT: A Deep Two-Stage Patent Text Segmentation Framework Informed by Low-Latency Neural Network Characteristics.

Big data·2026
See all related articles

Related Experiment Video

Updated: Nov 29, 2025

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
10:14

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

7.5K

Bridging the Brain and Data Sciences.

John Darrell Van Horn1,2

  • 1Department of Psychology, University of Virginia, Charlottesville, Virginia, USA.

Big Data
|November 19, 2020
PubMed
Summary
This summary is machine-generated.

Brain science is generating unprecedented amounts of data, driving open sharing and large-scale analyses. This data-driven approach is transforming research communication and is set to continue, despite ethical challenges.

Keywords:
data sciencedatabaseseducationmachine learningneuroscience

More Related Videos

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

4.7K
Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.6K

Related Experiment Videos

Last Updated: Nov 29, 2025

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
10:14

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

7.5K
Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

4.7K
Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.6K

Area of Science:

  • Neuroscience
  • Data Science
  • Computational Neuroscience

Background:

  • Modern brain science experiments yield vast datasets, exceeding previous career-long collections.
  • Digital brain data is increasingly shared openly for secondary and combined analyses.
  • Numerous web resources now host brain data across diverse spatiotemporal scales.

Purpose of the Study:

  • To examine the impact of increasing data generation and open sharing on brain science.
  • To discuss the evolving landscape of neuroscience research driven by large-scale data.
  • To address the challenges and implications of data-driven neuroscience.

Main Methods:

  • Leveraging cloud-enabled computing infrastructures for large-scale data processing.
  • Utilizing data processing workflow technologies.
  • Analyzing trends in data sharing and open access within neuroscience.

Main Results:

  • Open data sharing is fundamentally altering how brain science results are communicated and linked to raw data.
  • Cloud computing enables large-scale processing of complex brain datasets.
  • Ethical, professional, and motivational issues present challenges to full data-driven neuroscience adoption.

Conclusions:

  • Large-scale brain and data science is an established and growing field.
  • Government investments and community pressure are accelerating data sharing and open science practices.
  • The future of neuroscience is increasingly data-intensive and collaborative.