EKG-based detection of deep brain stimulation in fMRI studies.
Magn Reson Med
; 79(4): 2432-2439, 2018 04.
Article
em En
| MEDLINE
| ID: mdl-28766824
ABSTRACT
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 systemMETHODS:
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.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.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 792432-2439, 2018. © 2017 International Society for Magnetic Resonance in Medicine.Palavras-chave
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Base de dados:
MEDLINE
Assunto principal:
Doença de Parkinson
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Imageamento por Ressonância Magnética
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Estimulação Encefálica Profunda
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Eletrocardiografia
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article