Real-Time fMRI Data with Online Spatial Normalization

A collection of real-time functional magnetic resonance imaging (rtfMRI) data used to validate an online spatial normalization method. The method combines a novel affine registration (PA-GN(β) AFR) and nonlinear registration (DCT-based NLR) for fast processing within a single repetition time (TR). The data was used to demonstrate brain activation in rtfMRI and confirm the accuracy of the proposed normalization technique.

Use Cases

• Validate the PA-GN(β) AFR affine registration method's convergence speed and accuracy using real fMRI data.
• Assess the balance between accuracy and computational load for DCT-based nonlinear registration in online spatial normalization.
• Demonstrate brain activation localization in stereotactic space using the validated online spatial normalization method on rtfMRI data.
• Compare the performance of the novel PA-GN(β) AFR method with traditional affine registration techniques using the provided data.

Strengths

• Data was used to validate a novel online spatial normalization method for real-time fMRI.
• The associated research paper provides a detailed methodological framework for the normalization process.
• The dataset is openly available under a CC0 1.0 license.

Limitations

• The specific data structure, number of rows, columns, and file formats are unknown.
• The sample size and demographic or clinical context of the data subjects are not provided.
• The dataset's primary focus is methodological validation, which may limit its direct applicability for other types of neuroimaging analysis.

Provenance

Source

Dryad digital repository.

Collection Method

Real-time functional magnetic resonance imaging (rtfMRI) data collected for methodological research.

Freshness

Last updated in June 2020.