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Related Experiment Videos

Within-subject variability of BOLD response dynamics.

Jane Neumann1, Gabriele Lohmann, Stefan Zysset

  • 1Max-Planck-Institute of Cognitive Neuroscience, Stephanstrasse 1a, D-04103 Leipzig, Germany. neumann@cns.mpg.de

Neuroimage
|July 26, 2003
PubMed
Summary
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This study examined the reliability of brain activity measurements using functional magnetic resonance imaging (fMRI). Results show that key BOLD response parameters, like time-to-peak, are stable within individuals across multiple sessions.

Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Functional Magnetic Resonance Imaging (fMRI)

Background:

  • Understanding the within-subject variability of the Blood-Oxygen-Level-Dependent (BOLD) response is crucial for reliable fMRI studies.
  • Assessing the temporal dynamics of the BOLD signal across multiple sessions is essential for longitudinal research and inter-subject comparisons.

Purpose of the Study:

  • To investigate the within-subject variability of dynamical aspects of the BOLD response in fMRI.
  • To analyze the stability of parameters describing the temporal behavior of trial-averaged BOLD time courses across multiple sessions.

Main Methods:

  • Estimation and analysis of five temporal parameters (e.g., time-to-peak, time-to-onset) of the BOLD response.
  • Data acquired across nine fMRI sessions several days apart.

Related Experiment Videos

  • Analysis restricted to consistently activated voxels and comparison of two estimation methods (direct estimation vs. HRF fitting).

    • Main Results:

    • Small variances were observed for estimated BOLD response parameters when analysis focused on consistently activated voxels.
    • Time-to-peak demonstrated the most stable behavior among the investigated parameters.
    • Both direct parameter estimation and hemodynamic response function (HRF) fitting methods yielded comparable results.

    Conclusions:

    • Dynamical aspects of the BOLD response exhibit low within-subject variability across sessions, particularly when focusing on reliable activation patterns.
    • Time-to-peak is a robust parameter for assessing temporal dynamics in fMRI.
    • The findings support the reliability of fMRI for longitudinal studies and highlight the importance of voxel selection criteria.