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Abstract #4443

Video-based head motion assessment for improved quantitative neuroanatomy studies

Heath Pardoe1, Allan George1, Samantha P Martin1, Pablo Velasco2, and Orrin Devinsky1

1Department of Neurology, NYU Langone Medical Center, New York City, NY, United States, 2Center for Brain Imaging, New York University, New York, NY, United States

In-scanner head motion systematically varies with age and diagnosis, and this motion causes bias in morphometric estimates derived from neuroanatomical MRI. There are currently no widely available methods for directly assessing head motion during acquisition of neuroanatomical sequences. In this project we developed a method for measuring head motion via analysis of video obtained from an in-scanner eye tracker. Data obtained from 5 healthy controls demonstrates the feasibility of the technique. The system has minimal set up requirements for subjects or MR technicians, which suggests the technique may be well suited to the young, elderly, or impaired populations in which participant compliance may be a problem.

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