2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2016
DOI: 10.1109/embc.2016.7591914
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Simultaneous evaluation of prepulse inhibition with EMG and EEG using advanced artifact removal techniques

Abstract: Prepulse inhibition (PPI) consists of a reduction of the acoustic startle reflex (SR) magnitude (measured with EMG) when a startling stimulus is preceded by a non-startling one. This behavior has been extensively investigated in studies related to schizophrenia, since sensory-motor deficit plays a central role in its pathophysiology. However, the same auditory stimuli that trigger the SR also provoke intense auditory evoked responses (AEP), which can be measured with EEG. Comparing these two types of responses… Show more

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Cited by 2 publications
(2 citation statements)
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“…Before each block, five pulse-alone (P) stimuli were presented and discarded to avoid discrepant high intensity responses. The Ps were applied with 115 dB intensity and the PPs with 85 dB; both consisting of white noise with virtually instantaneous rise and decay duration of 40 and 20 ms, respectively [ 68 , 69 , 70 ]. Each test was performed under background (white) noise of 70 dB of intensity, which was also present during the 3-min interval between the first and second blocks.…”
Section: Methodsmentioning
confidence: 99%
“…Before each block, five pulse-alone (P) stimuli were presented and discarded to avoid discrepant high intensity responses. The Ps were applied with 115 dB intensity and the PPs with 85 dB; both consisting of white noise with virtually instantaneous rise and decay duration of 40 and 20 ms, respectively [ 68 , 69 , 70 ]. Each test was performed under background (white) noise of 70 dB of intensity, which was also present during the 3-min interval between the first and second blocks.…”
Section: Methodsmentioning
confidence: 99%
“…Furthermore, EMG techniques are prone to motion artifact contamination, due to muscle movements not relative to the startle reflex. These artifacts are difficult to eliminate from the EMG signals, and the removal methods often deploy other electrooculography systems or complicated mathematical algorithms (Zhang et al 2012, Chiu et al 2014, Fraga et al 2016, which present moderate results in most cases.…”
Section: Introductionmentioning
confidence: 99%