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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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Data integration: Combined imaging and electrophysiology data in the cloud.

Lohith G Kini¹, Kathryn A Davis², Joost B Wagenaar²

¹Department of Bioengineering, University of Pennsylvania, 240 Skirkanich Hall, 210 South 33rd Street, Philadelphia, PA 19104-6321, USA.

|June 6, 2015

Summary

The IEEG.org platform offers a growing, free archive of over 1200 electrophysiology and imaging datasets for refractory epilepsy research. It facilitates data sharing and analysis for domain experts.

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A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

Area of Science:

Neuroscience
Biomedical Informatics
Data Science

Background:

Increasing efforts to correlate electrophysiology and imaging data in refractory epilepsy.
Need for accessible, integrated data repositories for research.

Purpose of the Study:

To present the infrastructure, datasets, and future goals of IEEG.org.
To highlight the platform's role in facilitating scientific data sharing and analysis.

Main Methods:

Development of a flexible platform supporting multiple data formats.
Integration of over 1200 human and animal datasets.
Provision of high- and low-level data access and visualization tools.

Main Results:

EEG.org hosts a rapidly growing archive of diverse datasets (neuroimaging, EEG, EKG, clinical data).
The platform supports multiple data modalities and file formats.
It offers an intuitive environment for data discovery, visualization, and analysis.

Conclusions:

IEEEG.org serves as a valuable, free-access resource for epilepsy research.
The platform promotes collaborative research through accessible data sharing.
Future development aims to expand the infrastructure and dataset offerings.