http://www.nitrc.org/forum/forum.php?forum_id=7674 <table border="0" width="100%"><tr><td align="left"/></tr></table> <p><b>EKG-based detection of deep brain stimulation in fMRI studies.</b></p> <p>Magn Reson Med. 2017 Aug 02;:</p> <p>Authors: Fiveland E, Madhavan R, Prusik J, Linton R, Dimarzio M, Ashe J, Pilitsis J, Hancu I</p> <p>Abstract<br/> PURPOSE: To assess the impact of synchronization errors between the assumed functional MRI paradigm timing and the deep brain stimulation (DBS) on/off cycling using a custom electrocardiogram-based triggering system METHODS: A detector for measuring and predicting the on/off state of cycling deep brain stimulation was developed and tested in six patients in office visits. Three-electrode electrocardiogram measurements, amplified by a commercial bio-amplifier, were used as input for a custom electronics box (e-box). The e-box transformed the deep brain stimulation waveforms into transistor-transistor logic pulses, recorded their timing, and propagated it in time. The e-box was used to trigger task-based deep brain stimulation functional MRI scans in 5 additional subjects; the impact of timing accuracy on t-test values was investigated in a simulation study using the functional MRI data.<br/> RESULTS: Following locking to each patient's individual waveform, the e-box was shown to predict stimulation onset with an average absolute error of 112 ± 148 ms, 30 min after disconnecting from the patients. The subsecond accuracy of the e-box in predicting timing onset is more than adequate for our slow varying, 30-/30-s on/off stimulation paradigm. Conversely, the experimental deep brain stimulation onset prediction accuracy in the absence of the e-box, which could be off by as much as 4 to 6 s, could significantly decrease activation strength.<br/> CONCLUSIONS: Using this detector, stimulation can be accurately synchronized to functional MRI acquisitions, without adding any additional hardware in the MRI environment. Magn Reson Med, 2017. © 2017 International Society for Magnetic Resonance in Medicine.<br/> </p><p>PMID: 28766824 [PubMed - as supplied by publisher]</p> en-us Copyright 2000-2026 NITRC OSI Sun, 03 May 2026 19:47:00 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator