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Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

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Published on: September 25, 2019

Brain Imaging Databases.

Pravat K Mandal^1,2, Komal Jindal^1,3, Joseph C Maroon⁴

¹Neuroimaging and Neurospectroscopy (NINS) Laboratory, National Brain Research Centre, Gurgaon 122052, India.

ACS Chemical Neuroscience

|May 15, 2023

Summary

This summary is machine-generated.

Neuroimaging databases aid brain research. We introduce SWADESH, a new multimodal, multidisease database, and propose a blueprint for future data organization to advance disease understanding and therapeutic development.

Keywords:

Alzheimer’s GSH Neuroimaging Parkinson’s disease Swadesh causal disease process databases iron

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Area of Science:

Neuroscience
Medical Informatics

Background:

Neuroimaging databases are crucial for understanding brain function in health and disease.
Existing databases vary in scope and data types, posing challenges for researchers.

Purpose of the Study:

To review existing neuroimaging databases, highlighting their objectives, commonalities, and differences.
To introduce the SWADESH database, a novel multimodal and multidisease resource.
To propose a blueprint for a futuristic database integrating multidisease, multimodal, and longitudinal neuroimaging data with clinical assessments.

Main Methods:

Comparative analysis of existing neuroimaging databases.
Introduction and description of the SWADESH database.
Conceptualization of a matrix-form data organization for future databases.

Main Results:

SWADESH is presented as a multimodal, multidisease database.
A comparison with existing databases is provided, outlining SWADESH's unique features.
A blueprint for an advanced database integrating diverse data types is proposed.

Conclusions:

Comprehensive, well-organized neuroimaging databases are essential for advancing brain research.
The proposed database structure facilitates the identification of disease-specific features.
Such databases will accelerate the development of targeted therapeutic interventions for neurological disorders.