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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...

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Related Experiment Video

Updated: Apr 14, 2026

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

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Neuroimaging data sharing on the neuroinformatics database platform.

Gregory A Book¹, Michael C Stevens¹, Michal Assaf²

¹Olin Neuropsychiatry Research Center, Hartford Hospital, Hartford CT, USA.

|April 19, 2015

Summary

This summary is machine-generated.

The Neuroinformatics Database (NiDB) is an open-source platform for managing neuroimaging data. It facilitates the archiving, analysis, and sharing of large-scale datasets from major research projects.

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Last Updated: Apr 14, 2026

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

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

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Area of Science:

Neuroscience
Bioinformatics
Data Science

Background:

Neuroimaging research generates vast datasets requiring robust management solutions.
Sharing neuroimaging data is crucial for reproducibility and collaborative scientific advancement.
Existing platforms may not adequately address the specific needs of neuroimaging data archiving and analysis.

Purpose of the Study:

To introduce the Neuroinformatics Database (NiDB) as a novel, open-source platform for neuroimaging data.
To highlight NiDB's capabilities in archiving, analyzing, and sharing diverse neuroimaging datasets.
To demonstrate NiDB's suitability for multi-site research initiatives and data distribution.

Main Methods:

Development of an open-source database platform (NiDB).
Integration of data from prominent neuroimaging projects, including ABIDE, B-SNIP1, B-SNIP2, and MID.
Implementation of features for data archiving, analysis, and secure sharing.

Main Results:

NiDB provides a centralized repository for neuroimaging data.
Publicly accessible datasets from ABIDE, B-SNIP1, B-SNIP2, and MID are available via NiDB.
The platform has proven extensible and capable of handling large-scale neuroimaging data.

Conclusions:

NiDB is a valuable, extensible open-source platform for neuroimaging data management.
The platform supports the archiving and distribution of shared neuroimaging data from multi-site projects.
NiDB facilitates broader access to and utilization of critical neuroimaging research data.