Cortical Pathways During Postural Control: new insights from functional EEG source connectivity

Fabio Barollo, Mahmoud Hassan, Hannes Petersen, Isotta Rigoni, Ceon Ramon, Paolo Gargiulo, Antonio Fratini*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Postural control is a complex feedback system that relies on vast array of sensory inputs in order to maintain a stable upright stance. The brain cortex plays a crucial role in the processing of this information and in the elaboration of a successful adaptive strategy to external stimulation preventing loss of balance and falls. In the present work, the participants postural control system was challenged by disrupting the upright stance via a mechanical skeletal muscle vibration applied to the calves. The EEG source connectivity method was used to investigate the cortical response to the external stimulation and highlight the brain network primarily involved in high-level coordination of the postural control system. The cortical network reconfiguration was assessed during two experimental conditions of eyes open and eyes closed and the network flexibility (i.e. its dynamic reconfiguration over time) was correlated with the sample entropy of the stabilogram sway. The results highlight two different cortical strategies in the alpha band: the predominance of frontal lobe connections during open eyes and the strengthening of temporal-parietal network connections in the absence of visual cues. Furthermore, a high correlation emerges between the flexibility in the regions surrounding the right temporo-parietal junction and the sample entropy of the CoP sway, suggesting their centrality in the postural control system. These results open the possibility to employ network-based flexibility metrics as markers of a healthy postural control system, with implications in the diagnosis and treatment of postural impairing diseases.
Original languageEnglish
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
DOIs
Publication statusE-pub ahead of print - 6 Jan 2022

Bibliographical note

This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/

Keywords

  • Electroencephalography
  • Vibrations
  • Muscles
  • Band-pass filters
  • Task analysis
  • Neuroscience
  • Mathematical models
  • Brain Network Connectivity
  • EEG
  • Postural Control

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