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Clinical Trial Summary

Low-frequency brain rhythms in the alpha (8-14Hz) and beta (15-29Hz) bands are strong predictors of perception and functional performance in a range of tasks, and are disrupted in several disease states. The purpose of this study is to investigate a direct causal relationship between low-frequency brain rhythms and sensory perception, and to optimize commonly used TMS paradigms to impact sensory processing and perception in a similar manner as endogenous rhythms. To do so, this study combines human magnetic resonance imaging (MRI), electroencephalography (EEG), non-invasive brain stimulation (transcranial magnetic stimulation; TMS), and biophysically principled computational neural modeling.


Clinical Trial Description

Prior studies have shown that high power low-frequency brain rhythms in the alpha (8-14) and beta (15-29 Hz) bands in primary somatosensory cortex (SI) are associated with a decreased probability of perceiving tactile stimuli at perceptual threshold, and can be modulated with attention. Furthermore, high power beta activity in SI emerges as brief "events" (<150ms) in un-averaged data, the rate and timing of which underlie the attentional and perceptual effects associated with high beta power. In this study, human electroencephalography (EEG) and a non-painful tactile detection task are used to assess if and how the rate and timing of ongoing rhythmic events in the alpha/beta bands prior to a tactile stimulus causally impact touch perception, and how this relates to attention. A custom TMS protocol that is hypothesized to mimic endogenous beta-frequency event patterns is used to test whether TMS can impact perception in a similar manner. Finally, computational neural modeling designed to simulate macro-scale EEG signals is used to aid in the interpretation of potential neural circuit mechanisms underlying features of acquired EEG data. The TMS-EEG components of this study will use a within-subjects crossover design. In initial study sessions, participants will have an MRI. In subsequent study sessions, participants will complete a tactile detection task while EEG data is recorded concurrent with online active or sham TMS. Analyses will focus on comparing detection probabilities of tactile stimuli presented at perceptual threshold and tactile evoked response potential waveforms between trials in which TMS pulses or endogenous beta events occur with similar timing and intensity. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT04062318
Study type Interventional
Source Brown University
Contact Danielle D Sliva, MA
Phone 401-863-5351
Email danielle_sliva@brown.edu
Status Recruiting
Phase N/A
Start date July 25, 2019
Completion date January 31, 2022

See also
  Status Clinical Trial Phase
Completed NCT05013814 - The Effect of Tactile Deficit on Motor Function in Unilateral Cerebral Palsy
Recruiting NCT06231810 - Tracking a Tactile Signal Along the Nervous System N/A