Advisor Information
Vivien Marmelat
Location
University of Nebraska-Omaha
Presentation Type
Poster
Start Date
1-3-2019 2:00 PM
End Date
1-3-2019 3:15 PM
Abstract
Introduction: Neural activity exhibits non-periodic rhythm [2] but it is unknown if neural activity synchronizes with non-periodic, as it does with periodic rhythms [1]. The purpose of this research is to determine the neural mechanisms present leading to synchronized finger tapping to varying rhythms. Methods: Twenty young healthy adults will be recruited to participate in the present study (see Figure 1 for the protocol). Electroencephalography (EEG) will be used to measure the amplitude (AE) and beats for interbeat intervals (IBIs), and a pressure sensor will be used to measure intertap intervals (ITIs). The AE will be assessed for activity spike timing called event related potentials (ERPs) to allow for assessment for differences in neural activity timing with a two-way analysis of variance. The AE, ITIs, and IBIs will be assessed with detrended fluctuation analysis (DFA) and compared with a pearson-r correlation. Results and Discussion: Data for the present study is currently in the process of being collected. The DFA of the IBIs, ITIs, ERP, and AE are expected to match to varying degrees but the fractal condition is expected to present the greatest degree of synchronization. Conclusions: This research will give insight into the ability of the brain to complexity match to not only recreate the rhythm of auditory signals within the brain but also with behavior. Fractal and isochronous metronomes may be more readily matched within the brain and behavior because they are more biologically relevant and predictable than the random metronome.
Neural Mechanisms Underlying Sensorimotor Synchronization with Different Forms of Rhythms
University of Nebraska-Omaha
Introduction: Neural activity exhibits non-periodic rhythm [2] but it is unknown if neural activity synchronizes with non-periodic, as it does with periodic rhythms [1]. The purpose of this research is to determine the neural mechanisms present leading to synchronized finger tapping to varying rhythms. Methods: Twenty young healthy adults will be recruited to participate in the present study (see Figure 1 for the protocol). Electroencephalography (EEG) will be used to measure the amplitude (AE) and beats for interbeat intervals (IBIs), and a pressure sensor will be used to measure intertap intervals (ITIs). The AE will be assessed for activity spike timing called event related potentials (ERPs) to allow for assessment for differences in neural activity timing with a two-way analysis of variance. The AE, ITIs, and IBIs will be assessed with detrended fluctuation analysis (DFA) and compared with a pearson-r correlation. Results and Discussion: Data for the present study is currently in the process of being collected. The DFA of the IBIs, ITIs, ERP, and AE are expected to match to varying degrees but the fractal condition is expected to present the greatest degree of synchronization. Conclusions: This research will give insight into the ability of the brain to complexity match to not only recreate the rhythm of auditory signals within the brain but also with behavior. Fractal and isochronous metronomes may be more readily matched within the brain and behavior because they are more biologically relevant and predictable than the random metronome.