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Magnetic Resonance Imaging

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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: Dec 5, 2025

Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat

Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat

Published on: August 28, 2021

Improved resting state functional connectivity sensitivity and reproducibility using a multiband multi-echo

Alexander D Cohen¹, Baolian Yang², Brice Fernandez³

¹Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, United States.

|October 18, 2020

Summary

This summary is machine-generated.

Multiband multi-echo (MBME) resting-state fMRI shows higher functional connectivity and reproducibility compared to standard multiband (MB) imaging. This advanced MBME technique offers improved data quality for brain connectivity research.

Keywords:

Functional connectivity density Multi-echo Multi-echo independent component analysis Multiband Reproducibility Resting state functional MRI

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Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI

Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI

Published on: March 19, 2021

Area of Science:

Neuroimaging
Functional Magnetic Resonance Imaging (fMRI)
Brain Connectivity

Background:

Recent advances in fMRI include multiband (MB) and multi-echo (ME) imaging, enhancing temporal and spatial resolution.
MB imaging acquires multiple slices simultaneously, while ME imaging captures multiple echoes for denoising and increased sensitivity.
Combined MBME sequences offer potential for improved resting-state fMRI (rs-fMRI) data acquisition.

Purpose of the Study:

To compare the performance of a combined multiband multi-echo (MBME) rs-fMRI sequence against a standard multiband (MB) single-echo sequence.
To evaluate resting-state functional connectivity (RSFC) and reproducibility using both standard and advanced denoising techniques.
To assess functional connectivity density (FCD) as a data-driven metric.

Main Methods:

Acquired rs-fMRI data from 29 subjects using both MBME (three echoes) and MB (single echo) sequences.
Processed data with standard denoising and advanced methods: ME-ICA for MBME and ICA-AROMA for MB.
Analyzed RSFC via seed-based and region-of-interest (ROI) approaches, and assessed reproducibility using the Dice coefficient.

Main Results:

MBME sequences demonstrated significantly higher seed-based and ROI-based RSFC compared to MB sequences, irrespective of denoising method.
Reproducibility of connectivity metrics, evaluated by the Dice coefficient, was significantly higher for MBME data.
Functional connectivity density (FCD) was also significantly higher in MBME data.

Conclusions:

The combined MBME technique yields higher resting-state functional connectivity and improved reproducibility in rs-fMRI compared to standard MB imaging.
MBME is a promising advancement for acquiring high-quality rs-fMRI data, enhancing the study of brain connectivity.
These findings support the adoption of MBME sequences for more sensitive and reliable neuroimaging research.