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Updated: Jul 4, 2026

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
Published on: October 20, 2023
Measurement prediction and power analysis for fNIRS and DOT
Eli Bulger1, Jiaming Cao1, Abigail L Noyce2,3
1Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States.
This study introduces a computational framework for planning functional near-infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) experiments. It helps researchers optimize designs for better statistical power and signal detection in neuroscience research.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Computational Biology
Background:
- Functional near-infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) are essential neuroimaging tools.
- Experimental feasibility can be limited by anatomical, measurement, and design constraints.
Purpose of the Study:
- To develop a computational framework for *a priori* power analysis in fNIRS and DOT research.
- To provide interpretable design guidance by reframing physical constraints.
Main Methods:
- An experimentally informed computational framework was developed.
- Combined within- and between-subject variability with forward-model-based estimates.
- Utilized cluster-based permutation tests for statistical power estimation.
Main Results:
- Demonstrated influence of channel density and cortical source features (depth, size, location) on statistical power.
- Predicted measurement outcomes based on task-evoked absorption changes.
- Estimated statistical power for signal and contrast detection.
Conclusions:
- The framework enables principled power planning for diverse fNIRS and DOT experimental designs.
- Offers guidance for optimizing experimental parameters to enhance statistical power.
- Facilitates more reliable and feasible neuroimaging research.
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