Evidence map›Paper›PMID 38732980›Full record

ArticleSensors (Basel, Switzerland)2024

Brain Networks Modulation during Simple and Complex Gait: A "Mobile Brain/Body Imaging" Study.

Gaia Bonassi, Mingqi Zhao, Jessica Samogin, Dante Mantini, Roberta Marchese, Luciano Contrino, Paola Tognetti, Martina Putzolu, Alessandro Botta, Elisa Pelosin and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Gaia BonassiDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16132 Genoa, Italy.ORCID 0000-0003-2697-4113
Mingqi ZhaoResearch Center for Motor Control and Neuroplasticity, KU Leuven, 3001 Leuven, Belgium.
Jessica SamoginResearch Center for Motor Control and Neuroplasticity, KU Leuven, 3001 Leuven, Belgium.ORCID 0000-0002-9799-9003
Dante MantiniResearch Center for Motor Control and Neuroplasticity, KU Leuven, 3001 Leuven, Belgium.ORCID 0000-0001-6485-5559
Roberta MarcheseIRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.
Luciano ContrinoS.C. Medicina Fisica e Riabilitazione Ospedaliera, Azienda Sanitaria Locale Chiavarese, 16043 Chiavari, Italy.
Paola TognettiS.C. Medicina Fisica e Riabilitazione Ospedaliera, Azienda Sanitaria Locale Chiavarese, 16043 Chiavari, Italy.
Martina PutzoluDepartment of Experimental Medicine, Section of Human Physiology, University of Genoa, Viale Benedetto XV 3, 16132 Genoa, Italy.ORCID 0000-0001-8972-9188
Alessandro BottaIRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.ORCID 0000-0002-7588-2402
Elisa PelosinDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16132 Genoa, Italy.ORCID 0000-0002-9880-2241
Laura AvanzinoIRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.

Funding

Italian Ministry of health SG-2018-12368232
6 · The paper itself

Abstract

Walking encompasses a complex interplay of neuromuscular coordination and cognitive processes. Disruptions in gait can impact personal independence and quality of life, especially among the elderly and neurodegenerative patients. While traditional biomechanical analyses and neuroimaging techniques have contributed to understanding gait control, they often lack the temporal resolution needed for rapid neural dynamics. This study employs a mobile brain/body imaging (MoBI) platform with high-density electroencephalography (hd-EEG) to explore event-related desynchronization and synchronization (ERD/ERS) during overground walking. Simultaneous to hdEEG, we recorded gait spatiotemporal parameters. Participants were asked to walk under usual walking and dual-task walking conditions. For data analysis, we extracted ERD/ERS in α, β, and γ bands from 17 selected regions of interest encompassing not only the sensorimotor cerebral network but also the cognitive and affective networks. A correlation analysis was performed between gait parameters and ERD/ERS intensities in different networks in the different phases of gait. Results showed that ERD/ERS modulations across gait phases in the α and β bands extended beyond the sensorimotor network, over the cognitive and limbic networks, and were more prominent in all networks during dual tasks with respect to usual walking. Correlation analyses showed that a stronger α ERS in the initial double-support phases correlates with shorter step length, emphasizing the role of attention in motor control. Additionally, β ERD/ERS in affective and cognitive networks during dual-task walking correlated with dual-task gait performance, suggesting compensatory mechanisms in complex tasks. This study advances our understanding of neural dynamics during overground walking, emphasizing the multidimensional nature of gait control involving cognitive and affective networks.

Indexed as

BrainElectroencephalographyGaitWalkingAdultFemaleHumansMaleNerve NetYoung Adultaffective networkcognitive networkdual taskgaithigh-density electroencephalography

Identifiers

PMID38732980
PMCPMC11086305

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.