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Updated: Jun 15, 2026
06:06
Optogenetic Functional MRI
Published on: April 19, 2016
Automatic detection of motion artifacts in infant functional optical topography studies
Anna Blasi1, Derrick Phillips, Sarah Lloyd-Fox
1Biomedical Optics Research Laboratory, Department of Medical Physics and Bioengineering, University College London, Gower Street, London WC1E 6BT, UK. ablasi@medphys.ucl.ac.uk
Advances in Experimental Medicine and Biology
|March 6, 2010
Summary
Optical topography (OT) for infant cognitive studies is less intrusive. We developed a motion sensor to detect and reduce movement artifacts, improving data quality for neurodevelopmental research.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Developmental Psychology
Background:
- Optical topography (OT) offers a less intrusive neuroimaging approach for cognitive neurodevelopmental studies compared to MRI or PET.
- Participant movement can disrupt OT signals, necessitating artifact detection and noise reduction strategies.
- Infant studies present unique challenges due to the difficulty in imposing movement constraints.
Purpose of the Study:
- To develop and validate a motion sensing system for use with an in-house OT system in infant studies.
- To refine artifact detection thresholds for movement-related signal disruptions in OT data.
- To evaluate different head probe designs for minimizing signal interference.
- To assess the utility of motion sensor data for adaptive filtering to remove movement artifacts.
Main Methods:
- Development of a motion sensor compatible with an in-house optical topography system.
- Collection of motion data during OT recordings in infant studies.
- Adjustment of automated artifact detection thresholds based on motion sensor data.
- Comparison of signal disruption across two distinct head probe designs.
- Implementation and evaluation of an adaptive filter using motion sensor data as external input.
Main Results:
- A motion sensor system suitable for infant OT studies was successfully developed.
- Adjusted thresholds improved the accuracy of discarding movement-affected data.
- Performance differences between head probe designs regarding signal disruption were quantified.
- Feasibility of using motion sensor data to reduce movement artifacts via adaptive filtering was demonstrated.
Conclusions:
- The developed motion sensor system enhances the reliability of optical topography for infant cognitive neurodevelopmental research.
- Improved artifact detection and noise reduction strategies lead to higher quality OT data.
- This approach facilitates more accurate and less intrusive brain activity monitoring in developing infants.
