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Pediatric neuroimaging using magnetic resonance imaging during non-sedated sleep
Authors:Douglas C. Dean III  Holly Dirks  Jonathan O’Muircheartaigh  Lindsay Walker  Beth A. Jerskey  Katie Lehman  Michelle Han  Nicole Waskiewicz  Sean C. L. Deoni
Affiliation:1. Advanced Baby Imaging Lab, School of Engineering, Brown University, Providence, RI, 02912, USA
2. Department of NeuroImaging Sciences, King’s College London, Institute of Psychiatry, Delaware Crespigny Park, London, UK
3. Department of Human Behaviour and Psychiatry, Warren Alpert Medical School, Brown University, Providence, RI, USA
Abstract:

Background

Etiological studies of many neurological and psychiatric disorders are increasingly turning toward longitudinal investigations of infant brain development in order to discern predisposing structural and/or functional differences prior to the onset of overt clinical symptoms. While MRI provides a noninvasive window into the developing brain, MRI of infants and toddlers is challenging due to the modality’s extreme motion sensitivity and children’s difficulty in remaining still during image acquisition.

Objective

Here, we outline a broad research protocol for successful MRI of children under 4 years of age during natural, non-sedated sleep.

Materials and methods

All children were imaged during natural, non-sedated sleep. Active and passive measures to reduce acoustic noise were implemented to reduce the likelihood of the children waking up during acquisition. Foam cushions and vacuum immobilizers were used to limit intra-scan motion artifacts.

Results

More than 380 MRI datasets have been successfully acquired from 220 children younger than 4 years of age within the past 39 months. Implemented measures permitted children to remain asleep for the duration of the scan and allowed the data to be acquired with an overall 97% success rate.

Conclusion

The proposed method greatly advances current pediatric imaging techniques and may be readily implemented in other research and clinical settings to facilitate and further improve pediatric neuroimaging.
Keywords:
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