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Task-based functional MRI (fMRI) can effectively measure brain activity and hemodynamics, similar to resting-state fMRI (rsfMRI). This finding holds true for both healthy individuals and brain tumor patients, suggesting data repurposing is feasible.

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Area of Science:

  • Neuroimaging
  • Brain Activity Analysis

Background:

  • Resting-state functional MRI (rsfMRI) is commonly used to assess brain activity and hemodynamics.
  • Task-based fMRI (fMRI) data is often collected for other research purposes.

Purpose of the Study:

  • To determine if task-based fMRI can yield metrics typically obtained from rsfMRI.
  • To evaluate the feasibility of repurposing task-based fMRI data for brain activity and hemodynamic analysis.

Main Methods:

  • Retrospective analysis of two open-access datasets (healthy individuals and brain tumor patients).
  • Comparison of amplitude of low-frequency fluctuations (ALFF) and global signal metrics (GSC, GSXC, GSTD) from task-based fMRI with rsfMRI.
  • Mixed-effects modeling to examine factors influencing correlations, including fMRI type and motion magnitude.

Main Results:

  • Significant correlations (p < 0.001) were observed for all metrics between task-based and resting-state scans in both groups.
  • fMRI type and motion magnitude significantly affected GSC, GSXC, and GSTD measurements in healthy subjects.
  • Effects of fMRI type and motion were less pronounced in brain tumor patients, with significance noted for GSC and GSXC.

Conclusions:

  • Task-based fMRI data can be repurposed to evaluate local brain activity and hemodynamics.
  • This approach is feasible across the entire brain for both healthy individuals and brain tumor patients.
  • The findings support the utility of existing task-based fMRI datasets for broader neuroimaging analyses.