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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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Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

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Data Archive for the BRAIN Initiative (DABI).

Dominique Duncan¹, Rachael Garner², Sarah Brinkerhoff³

¹Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA. duncand@usc.edu.

Scientific Data

|February 9, 2023

Summary

The Data Archive for the BRAIN Initiative (DABI) platform facilitates sharing of complex human intracranial neurophysiology data. It addresses challenges in data heterogeneity and small cohorts for broader biomedical research.

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Area of Science:

Neuroscience
Biomedical Research
Data Science

Background:

Data sharing is crucial in biomedical research but faces challenges with specialized datasets.
Human intracranial neurophysiology data present unique complexities due to heterogeneity, specificity, and small cohort sizes.

Purpose of the Study:

To introduce the Data Archive for the BRAIN Initiative (DABI) platform.
To describe DABI's features designed to overcome challenges in sharing intracranial neurophysiology data.

Main Methods:

DABI serves as a data repository and portal for BRAIN Initiative projects.
The platform supports search, visualization, and analysis of multimodal intracranial recording data.
Data providers retain control over sharing privileges and data management via an intuitive interface.

Main Results:

DABI enables access to multimodal data from human and animal intracranial recordings.
The platform is designed to handle heterogeneous and project-specific data challenges.
Example analyses demonstrate DABI's utility with real-world datasets.

Conclusions:

DABI provides a robust solution for sharing sensitive neurophysiology data.
The platform supports data privacy, security, and user-friendly data management.
DABI aims to facilitate generalizable analyses across diverse BRAIN Initiative projects.