Electroencephalographic Correlates of Upright Posture in Typically Developing Children Between the Ages of 4-8 years
Description/Abstract/Artist Statement
Background: Maintaining an upright posture is a fundamental motor skill in human life. Postural control in standing requires integration of the peripheral and central nervous systems. Accumulating evidence from functional magnetic resonance studies (fMRI) in young adults has documented the role of cortical structures in maintaining posture during standing. However, these studies are limited due to the lower temporal resolution of fMRI and the inability to conduct them in an upright posture. In contrast, EEG has a distinctive advantage over fMRI as it is non-invasive, safe to use in children, has high temporal resolution, and can be applied during upright postures. Understanding how children maintain this posture is crucial for understanding their typical development. This preliminary data is necessary to differentiate atypical patterns of cortical activation in children with developmental delays and assist in designing future studies involving targeted interventions to promote optimum development. Therefore, the objective of this study is to assess EEG signatures of cortical activation during standing in typically developing children.
Methods: For this study, we will recruit 10 typically developing children between the ages of 4-8 years. A 32-channel BioSemi system will be used to measure cortical activity during gait. After measuring head circumference, an appropriate EEG cap will be selected. Headcaps with a sampling rate of 512 Hz will be placed according to the international 10-20 system (Easy Cap, Germany), with a reference to FCz. EEG data synchronized with EMG of lower limb muscles will be collected while standing fully upright with eyes open.
Data analysis: EEG data will be preprocessed using software written in MATLAB R2016a (The MathWorks, MA), and EEGLAB. The Fast Fourier Transform (FFT) technique will be used to separate brain rhythms and calculate mean spectral power.
Conclusion: This study will help us determine the relationship between upright posture and cortical control in typically developing children across different frequency bands and within different regions of cerebral hemispheres.
Electroencephalographic Correlates of Upright Posture in Typically Developing Children Between the Ages of 4-8 years
Learning Commons Lobby @ Perry Library
Background: Maintaining an upright posture is a fundamental motor skill in human life. Postural control in standing requires integration of the peripheral and central nervous systems. Accumulating evidence from functional magnetic resonance studies (fMRI) in young adults has documented the role of cortical structures in maintaining posture during standing. However, these studies are limited due to the lower temporal resolution of fMRI and the inability to conduct them in an upright posture. In contrast, EEG has a distinctive advantage over fMRI as it is non-invasive, safe to use in children, has high temporal resolution, and can be applied during upright postures. Understanding how children maintain this posture is crucial for understanding their typical development. This preliminary data is necessary to differentiate atypical patterns of cortical activation in children with developmental delays and assist in designing future studies involving targeted interventions to promote optimum development. Therefore, the objective of this study is to assess EEG signatures of cortical activation during standing in typically developing children.
Methods: For this study, we will recruit 10 typically developing children between the ages of 4-8 years. A 32-channel BioSemi system will be used to measure cortical activity during gait. After measuring head circumference, an appropriate EEG cap will be selected. Headcaps with a sampling rate of 512 Hz will be placed according to the international 10-20 system (Easy Cap, Germany), with a reference to FCz. EEG data synchronized with EMG of lower limb muscles will be collected while standing fully upright with eyes open.
Data analysis: EEG data will be preprocessed using software written in MATLAB R2016a (The MathWorks, MA), and EEGLAB. The Fast Fourier Transform (FFT) technique will be used to separate brain rhythms and calculate mean spectral power.
Conclusion: This study will help us determine the relationship between upright posture and cortical control in typically developing children across different frequency bands and within different regions of cerebral hemispheres.