RT Journal Article SR Electronic T1 Video-based motion-resilient reconstruction of 3D position for fNIRS/EEG head mounted probes JF bioRxiv FD Cold Spring Harbor Laboratory SP 621615 DO 10.1101/621615 A1 Sagi Jaffe-Dax A1 Amit H. Bermano A1 Yotam Erel A1 Lauren L. Emberson YR 2019 UL http://biorxiv.org/content/early/2019/10/27/621615.abstract AB Measuring the exact placement of probes (e.g., electrodes, optodes) on a participant’s head is a notoriously difficult step in acquiring neuroimaging data from methods which rely on scalp recordings (e.g., EEG and fNIRS) and particularly difficult for any clinical or developmental population. Existing methods of head measurements require the participant to remain still for a lengthy period of time, are laborious, and require extensive training. We propose an innovative video-based method for estimating the probes’ positions relative to the participant’s head, which is fast, motion-resilient, and automatic. These advantages allow, for the first time, the use of spatial co-registration methods in a normalized manner on developmental and clinical populations, where lengthy, motion-sensitive measurement methods routinely fail. We show that our method is both reliable and valid compared to existing state-of-the-art methods by estimating probe positions in a single measurement, and by tracking their translation across sessions. Finally, we show that our automatic method is able to estimate the position of probes on an infant head without lengthy offline procedures, a task which is considered unachievable until now.