2019
DOI: 10.1101/724344
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Persistent Elevation of Electrical Pain Threshold following Continuous Theta Burst Stimulation over Primary Somatosensory Cortex in Humans

Abstract: Background: Primary somatosensory cortex (S1) is involved in pain processing and thus its suppression using neuromodulatory techniques such as continuous theta burst stimulation (cTBS) might be a potential pain management strategy in patients with neuropathic pain. S1 cTBS is known to elevate pain threshold in young adults. However, the persistence of this effect is unknown.Objective/Hypothesis: We hypothesized persistent elevation of pain threshold following cTBS over S1 in healthy, young adults. Methods:We r… Show more

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Cited by 2 publications
(2 citation statements)
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“…Time PFR , variability in humans. The rise in CSE variability was associated with Time PFR variability but not with variability in magnitude of peak force rate, although both factors are known to be important for accurate force application (Poston et al, 2008). It is plausible that the intertrial variability in CSE may encode the variability in timing of force application as a control variable.…”
Section: Rise In Cse Variability Explains Inter-individual Differencementioning
confidence: 90%
See 1 more Smart Citation
“…Time PFR , variability in humans. The rise in CSE variability was associated with Time PFR variability but not with variability in magnitude of peak force rate, although both factors are known to be important for accurate force application (Poston et al, 2008). It is plausible that the intertrial variability in CSE may encode the variability in timing of force application as a control variable.…”
Section: Rise In Cse Variability Explains Inter-individual Differencementioning
confidence: 90%
“…In presence of visual feedback, as in this study, peak force rate is also influenced by online adjustments of grip force. We analyzed magnitude and time to peak force rate (Time PFR ) to assess behavioral variability, as previously reported by Flanagan and Beltzner (2000) and Poston et al (2008). To compute the rate of grip force application, we first smoothed the grip force signal through a zero-phase lag, fourth order, low-pass Butterworth filter (cutoff frequency: 14 Hz) followed by calculating its first derivative with respect to the trial time (Flanagan and Beltzner, 2000).…”
Section: Behavioral Variability In the Application Of Forcementioning
confidence: 99%