Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Brain Imaging

Brain Imaging

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 Stimulation (TMS).

You might also read

Related Articles

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

Sort by

Same author

SynaptoTagMe, a toolkit for in vivo mapping and modulating neurotransmission at single-cell resolution.

eLife·2026

Same author

Human learning of noninvasive brain-computer interfaces via manifold geometry.

Nature neuroscience·2026

Same author

Experience-Dependent Gain Modulation Drives Thermosensory Responses in Behavior.

bioRxiv : the preprint server for biology·2026

Same author

Physical contact reveals a hidden layer of cortical architecture.

bioRxiv : the preprint server for biology·2026

Same author

Long-term editing of brain circuits using an engineered electrical synapse.

Nature·2026

Same author

Improved sensors for fructose-1,6-bisphosphate enable in vivo imaging of glycolysis.

bioRxiv : the preprint server for biology·2026

Search research articles

Related Experiment Video

Updated: Jun 16, 2026

Author Spotlight: Deciphering Neural Circuit Formation from Two-Photon Microscopy and Single Neuron Imaging

Author Spotlight: Deciphering Neural Circuit Formation from Two-Photon Microscopy and Single Neuron Imaging

Published on: November 21, 2023

NeuroSC: Exploring Neurodevelopment via Spatiotemporal Collation of Anatomical Networks.

Noelle L Koonce¹, Sarah E Emerson¹, Dhananjay Bhaskar²

¹Department of Neuroscience and Department of Cell Biology, Wu Tsai Institute, Yale University, New Haven, CT, USA.

Biorxiv : the Preprint Server for Biology

|November 1, 2024

Summary

NeuroSCAN integrates data science with connectomics, enabling detailed analysis of neuronal relationships and cell biology in brain circuits. This platform facilitates comparisons across connectomes for new structure-function insights.

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

Related Experiment Videos

Last Updated: Jun 16, 2026

Author Spotlight: Deciphering Neural Circuit Formation from Two-Photon Microscopy and Single Neuron Imaging

Author Spotlight: Deciphering Neural Circuit Formation from Two-Photon Microscopy and Single Neuron Imaging

Published on: November 21, 2023

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

Area of Science:

Neuroscience
Computational Biology
Data Science

Background:

Volume electron microscopy (vEM) generates nanoscale data for connectome studies.
Connectome data analysis yields complex, multidimensional datasets requiring advanced approaches.
Understanding cell biological features is crucial for circuit architecture.

Purpose of the Study:

To develop NeuroSCAN, an open-source platform integrating graph analytics with cell biology in connectomics.
To enable intuitive examination and comparison of connectomes.
To bridge high-level data science abstractions with detailed cell biological features.

Main Methods:

Utilized data science techniques like dimensionality reduction and graph analytics.
Developed an online, open-source platform (NeuroSCAN).
Analyzed published C. elegans brain neuropil datasets.

Main Results:

Demonstrated integrated representations of neuronal relationships.
Facilitated cross-connectome comparisons.
Catalyzed new insights into circuit structure-function relationships and developmental changes.

Conclusions:

NeuroSCAN effectively links sophisticated graph analytics with cell biological details.
The platform supports intuitive examination and comparison of connectomes.
Enables synthesis of knowledge from abstract data representations to specific biological features.