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Related Experiment Video

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Randomized, Triple-Blind, and Parallel-Controlled Trial of Transcranial Direct Current Stimulation for Cognitive Rehabilitation after Stroke

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The NeuroGrid stroke exemplar clinical trial protocol.

J M Wardlaw¹, Philip Bath, Peter Sandercock

¹Division of Clinical Neurosciences, University of Edinburgh, Edinburgh, UK. joanna.wardlaw@ed.ac.uk

International Journal of Stroke : Official Journal of the International Stroke Society

|August 19, 2008

Summary

NeuroGrid develops grid technologies for multicenter neurological trials. This system facilitates secure collection, analysis, and archiving of neuroimaging data from diverse scanners, improving trial efficiency and data integrity for stroke, dementia, and psychosis research.

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Area of Science:

Neuroscience
Medical Imaging
Grid Computing

Background:

Multicenter clinical trials for neurological disorders, such as stroke, necessitate robust neuroimaging for patient assessment.
Challenges in large-scale trials include data heterogeneity from diverse scanners, complex analysis, and secure long-term archiving.

Purpose of the Study:

To develop and evaluate grid technologies for neuroimaging data management in large multicenter trials.
To address issues in collecting, analyzing, interpreting, and securely archiving neuroimaging data for common neurological and psychiatric disorders.

Main Methods:

A 3-year consortium developed a Grid storage network with mechanisms for data upload, curation, and retrieval.
Integration of image data from different scanners and development of an analysis toolbox.
Utilized clinical exemplars (stroke, dementia, psychosis) and real-world trial data to address specific challenges.

Main Results:

The project resulted in an integrated capability accessible via simple portals.
Services include automated scan quality control, metadata linkage, streamlined image review, and secure long-term storage.
The system is designed to support future multicenter stroke trials and similar research.

Conclusions:

NeuroGrid provides a scalable solution for managing complex neuroimaging data in multicenter trials.
The developed grid technologies enhance data integrity, accessibility, and analysis capabilities.
This platform supports more efficient and reliable research in neurological and psychiatric disorders.