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      Cortical and Cerebellar Oscillatory Responses to Postural Instability in Parkinson's Disease

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          Abstract

          Introduction: Posture and balance dysfunctions critically impair activities of daily living of patients with progressing Parkinson's disease (PD). However, the neural mechanisms underlying postural instability in PD are poorly understood, and specific therapies are lacking. Previous electrophysiological studies have shown distinct cortical oscillations with a significant contribution of the cerebellum during postural control tasks in healthy individuals.

          Methods: We investigated cortical and mid-cerebellar oscillatory activity via electroencephalography (EEG) during a postural control task in 10 PD patients with postural instability (PDPI+), 11 PD patients without postural instability (PDPI–), and 15 age-matched healthy control participants. Relative spectral power was analyzed in the theta (4–7 Hz) and beta (13–30 Hz) frequency bands.

          Results: Time-dependent postural measurements computed by accelerometer signals showed poor performance in PDPI+ participants. EEG results revealed that theta power was profoundly lower in mid-frontal and mid-cerebellar regions during the postural control task in PDPI+, compared to PDPI– and control participants. In addition, theta power was correlated with postural control performance in PD subjects. No significant changes in beta power were observed. Additionally, oscillatory changes during the postural control task differed from the resting state.

          Conclusion: This study underlines the involvement of mid-frontal and mid-cerebellar regions in postural stability during a balance task and emphasizes the important role of theta oscillations therein for postural control in PD.

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          Most cited references70

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          EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

          We have developed a toolbox and graphic user interface, EEGLAB, running under the crossplatform MATLAB environment (The Mathworks, Inc.) for processing collections of single-trial and/or averaged EEG data of any number of channels. Available functions include EEG data, channel and event information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), independent component analysis (ICA) and time/frequency decompositions including channel and component cross-coherence supported by bootstrap statistical methods based on data resampling. EEGLAB functions are organized into three layers. Top-layer functions allow users to interact with the data through the graphic interface without needing to use MATLAB syntax. Menu options allow users to tune the behavior of EEGLAB to available memory. Middle-layer functions allow users to customize data processing using command history and interactive 'pop' functions. Experienced MATLAB users can use EEGLAB data structures and stand-alone signal processing functions to write custom and/or batch analysis scripts. Extensive function help and tutorial information are included. A 'plug-in' facility allows easy incorporation of new EEG modules into the main menu. EEGLAB is freely available (http://www.sccn.ucsd.edu/eeglab/) under the GNU public license for noncommercial use and open source development, together with sample data, user tutorial and extensive documentation.
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            Frontal theta as a mechanism for cognitive control.

            Recent advancements in cognitive neuroscience have afforded a description of neural responses in terms of latent algorithmic operations. However, the adoption of this approach to human scalp electroencephalography (EEG) has been more limited, despite the ability of this methodology to quantify canonical neuronal processes. Here, we provide evidence that theta band activities over the midfrontal cortex appear to reflect a common computation used for realizing the need for cognitive control. Moreover, by virtue of inherent properties of field oscillations, these theta band processes may be used to communicate this need and subsequently implement such control across disparate brain regions. Thus, frontal theta is a compelling candidate mechanism by which emergent processes, such as 'cognitive control', may be biophysically realized. Copyright © 2014 Elsevier Ltd. All rights reserved.
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              Cognition assessment using the NIH Toolbox.

              Cognition is 1 of 4 domains measured by the NIH Toolbox for the Assessment of Neurological and Behavioral Function (NIH-TB), and complements modules testing motor function, sensation, and emotion. On the basis of expert panels, the cognition subdomains identified as most important for health, success in school and work, and independence in daily functioning were Executive Function, Episodic Memory, Language, Processing Speed, Working Memory, and Attention. Seven measures were designed to tap constructs within these subdomains. The instruments were validated in English, in a sample of 476 participants ranging in age from 3 to 85 years, with representation from both sexes, 3 racial/ethnic categories, and 3 levels of education. This report describes the development of the Cognition Battery and presents results on test-retest reliability, age effects on performance, and convergent and discriminant construct validity. The NIH-TB Cognition Battery is intended to serve as a brief, convenient set of measures to supplement other outcome measures in epidemiologic and longitudinal research and clinical trials. With a computerized format and national standardization, this battery will provide a "common currency" among researchers for comparisons across a wide range of studies and populations.
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                Author and article information

                Contributors
                Journal
                Front Neurol
                Front Neurol
                Front. Neurol.
                Frontiers in Neurology
                Frontiers Media S.A.
                1664-2295
                04 November 2021
                2021
                : 12
                : 752271
                Affiliations
                [1] 1Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota , Vermillion, SD, United States
                [2] 2Center for Brain and Behavior Research, University of South Dakota , Vermillion, SD, United States
                [3] 3Department of Neurology, Ludwig Maximilian University , Munich, Germany
                [4] 4Department of Neurology, University of Iowa , Iowa City, IA, United States
                [5] 5Avera Therapy , Sioux Falls, SD, United States
                [6] 6Department of Communication Sciences and Disorders, University of South Dakota , Vermillion, SD, United States
                [7] 7Department of Physical Therapy, University of South Dakota , Vermillion, SD, United States
                Author notes

                Edited by: Muthuraman Muthuraman, Johannes Gutenberg University Mainz, Germany

                Reviewed by: Alex Wiesman, McGill University, Canada; Beth Ann Smith, Children's Hospital of Los Angeles, United States

                *Correspondence: Arun Singh arun.singh@ 123456usd.edu

                This article was submitted to Movement Disorders, a section of the journal Frontiers in Neurology

                Article
                10.3389/fneur.2021.752271
                8599431
                34803888
                13a98adf-1f56-4ea6-b860-bfa56a30ee97
                Copyright © 2021 Bosch, Kammermeier, Groth, Leedom, Hanson, Berg-Poppe and Singh.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 17 August 2021
                : 11 October 2021
                Page count
                Figures: 3, Tables: 1, Equations: 0, References: 70, Pages: 11, Words: 8659
                Categories
                Neurology
                Original Research

                Neurology
                postural control,balance,eeg,oscillations,theta,cerebellum
                Neurology
                postural control, balance, eeg, oscillations, theta, cerebellum

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