| Title: | Cortico-muscular phase connectivity during an isometric knee extension task in people with early Parkinson’s disease |
|---|
| Authors: | ID Omejc, Nina (Author)
ID Stankovski, Tomislav (Author)
ID Peskar, Manca (Author)
ID Kalc, Miloš (Author)
ID Manganotti, Paolo (Author)
ID Gramann, Klaus (Author)
ID Džeroski, Sašo (Author)
ID Marušič, Uroš (Author) |
|---|
| Files: |  PDF - Presentation file, download (3,42 MB)
MD5: E08EE20AAE2800778A17026DDF910E65
 URL - Source URL, visit https://ieeexplore.ieee.org/document/10835798/keywords#keywords
|
|---|
| Language: | English |
|---|
| Typology: | 1.01 - Original Scientific Article |
|---|
| Organization: |  ZRS Koper - Science and Research Centre Koper
|
|---|
| Abstract: | — Introduction: Parkinson’s disease (PD) is characterized by enhanced beta-band activity (13–30 Hz) in the motor control regions. Simultaneously, corticomuscular (CM) connectivity in the beta-band during isometric contractions tends to decline with age, in various diseases, and under dual-task conditions. Objective: This study aimed to characterize electroencephalograph (EEG) and electromyograph (EMG) power spectra during a motor task, assess CM phase connectivity, and explore how these measures are modulated by an additional cognitive task. Specifically, we focused on the beta-band to explore the relationship between heightened beta amplitude and reduced beta CM connectivity. Methodology: Early-stage people with PD and age-matched controls performed an isometric knee extension task, a cognitive task, and a combined dual task, while EEG (128ch) and EMG (2x32ch) were recorded. CM phase connectivity was assessed through phase coherence and a phase dynamics model. Results: The EEG power spectrum revealed no cohort differences in the beta-band. EMG also showed no differences up to 80 Hz. However, the combined EEG-EMG analysis uncovered reduced beta phase coherence in people with early PD during the motor task. CM phase coherence exhibited distinct scalp topography and frequency ranges compared to the EEG power spectrum, suggesting different mechanisms for pathological beta increase and CM connectivity. Additionally, phase dynamics modelling indicated stronger directional coupling from the cortex to the active muscle and less prominent phase coupling across people with PD. Despite high inter-individual variability, these metrics may prove useful for personalized assessments, particularly in people with heightened CM connectivity. |
|---|
| Keywords: | electroencephalography, brain modeling, electromiography, coherence, motors, diseases, couplings, electrodes, oscillators, protocols |
|---|
| Publication version: | Version of Record |
|---|
| Publication date: | 01.01.2025 |
|---|
| Year of publishing: | 2025 |
|---|
| Number of pages: | str. 1-14 |
|---|
| Numbering: | [in press] |
|---|
| PID: | 20.500.12556/DiRROS-21195  |
|---|
| UDC: | 612.7:616.831-073.7-71 |
|---|
| ISSN on article: | 1558-0210 |
|---|
| DOI: | 10.1109/TNSRE.2025.3527578 |
|---|
| COBISS.SI-ID: | 222033667 |
|---|
| Note: | Nasl. z nasl. zaslona;
Soavtorji: Tomislav Stankovski, Manca Peskar, Milos Kalc, Paolo Manganotti, Klaus Gramann, Sašo Džeroski, Uros Marusic;
Opis vira z dne 13. 1. 2025;
|
|---|
| Publication date in DiRROS: | 13.01.2025 |
|---|
| Views: | 50 |
|---|
| Downloads: | 15 |
|---|
| Metadata: |    |
|---|
|
:
|
Copy citation |
|---|
| | | | Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
