Complex multi-echo fMRI dataset: New strategies in processing of multi-echo data

Area of Science:

• Neuroimaging
• Data Science

Background:

• Multi-echo functional magnetic resonance imaging (fMRI) presents unique challenges for data processing.
• Developing advanced algorithms is crucial for extracting meaningful insights from complex fMRI data.

Purpose of the Study:

• To introduce a novel, publicly accessible dataset for multi-echo fMRI.
• To facilitate the development and evaluation of advanced processing workflows for complex multi-echo fMRI data.

Main Methods:

• Collected multi-echo fMRI and electrophysiological recordings from 83 healthy, right-handed adults.
• Acquired data using two 3T MR scanners.
• Made the dataset publicly available on OpenNeuro.

Main Results:

• A comprehensive dataset comprising multi-echo fMRI and electrophysiological recordings is now available.
• The dataset is suitable for testing and validating new fMRI data processing strategies.

Conclusions:

• The release of this complex multi-echo fMRI dataset provides a valuable resource for the neuroimaging community.
• This dataset will aid in advancing the field of multi-echo fMRI data analysis and processing.