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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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Human neuroimaging as a "Big Data" science.

John Darrell Van Horn¹, Arthur W Toga

¹The Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, 2001 North Soto Street-Room 102, MC 9232, Los Angeles, CA, 90089-9235, USA, jvanhorn@usc.edu.

Brain Imaging and Behavior

|October 12, 2013

Summary

Neuroimaging research generates massive "big data," posing challenges in data sharing, archiving, and analysis. New strategies are essential to transform this data into significant advancements in brain science.

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Area of Science:

Neuroscience
Data Science
Medical Imaging

Background:

In vivo neuroimaging generates vast amounts of digital brain data, representing a significant

Purpose of the Study:

To discuss the multifactorial data challenges in modern neuroimaging research.
To highlight the need for novel solutions to manage and process large-scale neuroimaging data.

Main Methods:

Review of current neuroimaging databasing approaches.
Discussion of data sharing, archiving, and data mining challenges.
Exploration of the impact of advancing neuroimaging research areas like aging and genetics.

Main Results:

Neuroimaging data presents a leading edge

Conclusions:

Effective management and processing of neuroimaging big data are crucial for advancing brain science.
Developing common solutions for data sharing, archiving, and analysis is essential for future neuroimaging research.