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Related Experiment Video

Updated: Apr 5, 2026

Deep Brain Stimulation with Simultaneous fMRI in Rodents

Deep Brain Stimulation with Simultaneous fMRI in Rodents

Published on: February 15, 2014

Optimizing stimulation and analysis protocols for neonatal fMRI.

Rhodri Cusack¹, Conor Wild², Annika C Linke²

¹Brain and Mind Institute, Western University, London, Canada; Children's Health Research Institute, London, Canada.

|August 13, 2015

Summary

This summary is machine-generated.

Neonatal fMRI is crucial for understanding infant brain development. Optimizing stimulation protocols and using age-appropriate hemodynamic response functions (HRF) significantly enhances the power and accuracy of these brain imaging studies.

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Last Updated: Apr 5, 2026

Deep Brain Stimulation with Simultaneous fMRI in Rodents

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Published on: February 15, 2014

Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure

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Area of Science:

Neuroscience
Developmental Biology
Medical Imaging

Background:

Infant brain development is complex and challenging to study due to limited behavioral expression.
Functional magnetic resonance imaging (fMRI) offers potential for characterizing typical and abnormal infant brain development.
Neonatal fMRI faces methodological challenges, particularly differences in the hemodynamic response function (HRF) compared to adults.

Purpose of the Study:

To address methodological challenges in neonatal fMRI by investigating the impact of HRF differences.
To optimize fMRI stimulation protocols and analysis for improved sensitivity and robustness in infant studies.
To assess the effect of HRF modeling on the power of different stimulation protocols in neonatal fMRI.

Main Methods:

Developed a realistic noise model using resting-state fMRI data from infants and adults.
Conducted simulations to evaluate the influence of HRF on stimulation protocols and analysis assumptions.
Investigated the efficacy of using age-appropriate HRF versus mismatched HRF during data analysis.

Main Results:

Neonatal fMRI is most powerful with shorter block durations (25-30s on/off cycle).
Using age-appropriate HRF is critical; mismatches reduce statistical power or invert the signal.
A flexible basis set approach performs well when the exact HRF is unknown, enabling accurate post-hoc estimation.

Conclusions:

Optimized stimulation protocols and HRF modeling are essential for robust and sensitive neonatal fMRI.
Employing age-specific HRF or flexible basis sets improves the reliability of fMRI findings in infants.
These advancements facilitate better characterization of typical and abnormal infant brain development using fMRI.