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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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Special Section Guest Editorial: Computational Approaches for Neuroimaging.

Lei Tian^1,2, Xavier Intes³, Weijian Yang⁴

¹Boston University, Department of Electrical and Computer Engineering, Boston, Massachusetts, United States.

|September 5, 2022

Summary

This editorial introduces a special section on computational approaches for neuroimaging. It highlights the growing importance of these methods in understanding brain function and disorders.

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Area of Science:

Neuroimaging
Computational Neuroscience

Background:

Neuroimaging generates vast datasets.
Analyzing these datasets requires advanced computational methods.

Purpose of the Study:

Introduce a special section focused on computational approaches in neuroimaging.
Highlight the significance of computational methods in neuroscience research.

Main Methods:

Overview of computational techniques relevant to neuroimaging.
Discussion of data analysis strategies.

Main Results:

The special section features diverse computational applications.
These applications address key questions in brain science.

Conclusions:

Computational approaches are essential for modern neuroimaging.
This section showcases innovative research in the field.