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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).

Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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Updated: May 17, 2026

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

Imaging resting state brain function in multiple sclerosis.

Massimo Filippi¹, Federica Agosta, Edoardo G Spinelli

¹Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, via Olgettina 60, 20132 Milan, Italy. m.filippi@hsr.it

Journal of Neurology

|October 12, 2012

Summary

This summary is machine-generated.

Resting-state fMRI reveals brain network imbalances in multiple sclerosis (MS). This technique may offer new biomarkers for MS diagnosis, prognosis, and treatment monitoring.

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Area of Science:

Neuroscience
Radiology
Clinical Neurology

Background:

Multiple sclerosis (MS) causes physical and cognitive deficits due to structural damage and brain network dysfunction.
Resting-state functional magnetic resonance imaging (fMRI) assesses intrinsic brain activity and functional connectivity.
Understanding functional imbalances is crucial for MS management.

Purpose of the Study:

To review major findings from resting-state fMRI studies in MS patients.
To discuss the potential of fMRI as a biomarker for MS diagnosis, prognosis, and treatment monitoring.

Main Methods:

Review of existing literature on resting-state fMRI in multiple sclerosis.
Analysis of functional connectivity patterns in MS patients across different clinical stages.

Main Results:

Resting-state fMRI has identified significant alterations in brain network functional connectivity in MS.
These alterations correlate with clinical deficits and disease progression.
Functional network changes are observed across various stages of MS.

Conclusions:

Resting-state fMRI is a valuable tool for investigating brain network dysfunction in MS.
fMRI-derived biomarkers hold promise for improving MS diagnosis, predicting disease outcomes, and monitoring therapeutic responses.
Further research can refine fMRI applications for personalized MS care.