The Impact of Posture and Movement on Intrinsic Brain Activity

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Sensory and Motor Neuroscience".

Deadline for manuscript submissions: closed (20 July 2024) | Viewed by 3204

Special Issue Editor


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Guest Editor
Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37131 Verona, Italy
Interests: cognitive neuroscience; human motor control and movement analysis; system identification and pattern recognition; signal processing; biological system modeling; artificial intelligence
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Special Issue Information

Dear Colleagues,

Posture and movement are essential features for carrying out our daily tasks. Both functions have been shown to influence various aspects of brain function, including neural connectivity, information processing, and cognitive performance. Although the human brain's intrinsic activity, often measured using functional magnetic resonance imaging (fMRI), has been extensively studied for many years, the influence of posture and movement on these intrinsic brain dynamics remains an area of active investigation with far-reaching implications. Understanding the relationship between posture, movement, and intrinsic brain activity is crucial for unraveling the complex interplay between the brain, body, and behavior. Posture refers to the alignment and orientation of the body in space, while movement encompasses a broad spectrum of activities ranging from fine motor control to gross locomotion. Here, we propose a Special Issue to bring together interdisciplinary research from neuroscience, psychology, biomechanics, rehabilitation sciences, and related fields to deepen our understanding of how posture and movement affect intrinsic brain activity. We welcome contributions that employ a wide range of methodologies, including neuroimaging techniques, behavioral assessments, computational modeling, and clinical studies.

Dr. Mehran Emadi Andani
Guest Editor

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Keywords

  • intrinsic brain activity
  • body posture
  • human movement
  • physical exercise
  • neuroplasticity
  • functional connectivity
  • mind‒body practices

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Published Papers (2 papers)

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Research

17 pages, 4172 KiB  
Article
Research on Brain Networks of Human Balance Based on Phase Estimation Synchronization
by Yifei Qiu and Zhizeng Luo
Brain Sci. 2024, 14(5), 448; https://doi.org/10.3390/brainsci14050448 - 29 Apr 2024
Viewed by 1389
Abstract
Phase synchronization serves as an effective method for analyzing the synchronization of electroencephalogram (EEG) signals among brain regions and the dynamic changes of the brain. The purpose of this paper is to study the construction of the functional brain network (FBN) based on [...] Read more.
Phase synchronization serves as an effective method for analyzing the synchronization of electroencephalogram (EEG) signals among brain regions and the dynamic changes of the brain. The purpose of this paper is to study the construction of the functional brain network (FBN) based on phase synchronization, with a special focus on neural processes related to human balance regulation. This paper designed four balance paradigms of different difficulty by blocking vision or proprioception and collected 19-channel EEG signals. Firstly, the EEG sequences are segmented by sliding windows. The phase-locking value (PLV) of core node pairs serves as the phase-screening index to extract the valid data segments, which are recombined into new EEG sequences. Subsequently, the multichannel weighted phase lag index (wPLI) is calculated based on the new EEG sequences to construct the FBN. The experimental results show that due to the randomness of the time points of body balance adjustment, the degree of phase synchronization of the datasets screened by PLV is more obvious, improving the effective information expression of the subsequent EEG data segments. The FBN topological structures of the wPLI show that the connectivity of various brain regions changes structurally as the difficulty of human balance tasks increases. The frontal lobe area is the core brain region for information integration. When vision or proprioception is obstructed, the EEG synchronization level of the corresponding occipital lobe area or central area decreases. The synchronization level of the frontal lobe area increases, which strengthens the synergistic effect among the brain regions and compensates for the imbalanced response caused by the lack of sensory information. These results show the brain regional characteristics of the process of human balance regulation under different balance paradigms, providing new insights into endogenous neural mechanisms of standing balance and methods of constructing brain networks. Full article
(This article belongs to the Special Issue The Impact of Posture and Movement on Intrinsic Brain Activity)
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10 pages, 1345 KiB  
Article
Transcranial Direct Current Stimulation over the Temporoparietal Junction Modulates Posture Control in Unfamiliar Environments
by Hiroshi Kamada and Naoyuki Takeuchi
Brain Sci. 2023, 13(11), 1514; https://doi.org/10.3390/brainsci13111514 - 26 Oct 2023
Viewed by 1227
Abstract
The temporoparietal junction (TPJ), which integrates visual, somatosensory, and vestibular information to form body schema, is involved in human postural control. We evaluated whether or not the transcranial direct current stimulation (tDCS) of the TPJ can modulate postural control on an unstable surface [...] Read more.
The temporoparietal junction (TPJ), which integrates visual, somatosensory, and vestibular information to form body schema, is involved in human postural control. We evaluated whether or not the transcranial direct current stimulation (tDCS) of the TPJ can modulate postural control on an unstable surface with eyes closed, during which the updating of body schema is needed to maintain balance. Sixteen healthy subjects participated in this study. The order of the three types of tDCS (anodal, cathodal, and sham) over the right TPJ was counterbalanced across the participants. We evaluated dynamic posture control while the participants were standing on a stable surface with eyes open and an unstable surface with eyes closed. Anodal tDCS enhanced postural control on an unstable surface with eyes closed during and after stimulation, but cathodal tDCS deteriorated postural control during stimulation. Neither anodal nor cathodal tDCS altered postural control while the participants were on a stable surface with eyes open. Anodal tDCS may enhance postural control with non-vision and altered tactile perception by activating the TPJ, which integrates multisensory inputs to update the body schema, whereas cathodal tDCS has the opposite effect. tDCS over the TPJ may facilitate the updating of body schemas to accommodate changes in sensory inputs and help develop novel approaches to prevent falls. Full article
(This article belongs to the Special Issue The Impact of Posture and Movement on Intrinsic Brain Activity)
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