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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 Stimulation (TMS).

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Updated: May 29, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

[Multidimensional neuroimaging approach for studying brain network].

Takashi Hanakawa¹

¹National Institute of Neuroscience, National Center of Neurology and Psychiatry.

Rinsho Shinkeigaku = Clinical Neurology

|September 17, 2011

Summary

This summary is machine-generated.

This study introduces multidimensional non-invasive brain imaging to map neural circuits. Combining anatomical, functional, and evoked connectivity reveals complex human brain networks for better understanding.

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Last Updated: May 29, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

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Basics of Multivariate Analysis in Neuroimaging Data

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Area of Science:

Neuroscience
Medical Imaging
Brain Network Analysis

Context:

Understanding the human brain's functional anatomy is crucial.
Current imaging techniques offer fragmented views of neural circuits.
Integrating diverse imaging modalities is essential for comprehensive network analysis.

Purpose:

To propose a multidimensional non-invasive imaging technique for understanding human brain functional anatomy.
To combine anatomical, functional, and evoked connectivity imaging for network mapping.
To address the technical challenges in integrating multimodal brain imaging data.

Summary:

This research introduces a multidimensional non-invasive imaging approach for human brain network analysis.
The technique integrates diffusion-weighted imaging (DWI) and functional magnetic resonance imaging (fMRI) for anatomical and functional connectivity.
Evoked connectivity imaging utilizes transcranial magnetic stimulation (TMS) during fMRI and electrophysiology monitoring.
Advanced analysis methods like probabilistic diffusion tractography and tract-based statistics refine anatomical mapping.

Impact:

Enables a more holistic understanding of human brain function and neural circuits.
Advances the field of neuroimaging by integrating multiple data types.
Provides a foundation for future research into brain disorders and treatments.