Evidence map›Paper›PMID 35384123›Full record

ArticleHuman brain mapping2022

Frequency-dependent modulation of neural oscillations across the gait cycle.

Mingqi Zhao, Gaia Bonassi, Jessica Samogin, Gaia Amaranta Taberna, Elisa Pelosin, Alice Nieuwboer, Laura Avanzino, Dante Mantini

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.5field-weighted citation impact, top 6% of its field
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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. The classification of walking and phases of gait using EEG: a scoping review.Journal of neuroengineering and rehabilitation · 2026
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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

8 authors at 3 institutions in 2 countries.

Mingqi ZhaoMovement Control and Neuroplasticity Research Group, KU Leuven, Leuven, Belgium.ORCID 0000-0002-2804-9565
Gaia BonassiS.C. Medicina Fisica e Riabilitazione Ospedaliera, Chiavari, Italy.ORCID 0000-0003-2697-4113
Jessica SamoginMovement Control and Neuroplasticity Research Group, KU Leuven, Leuven, Belgium.ORCID 0000-0002-9799-9003
Gaia Amaranta TabernaMovement Control and Neuroplasticity Research Group, KU Leuven, Leuven, Belgium.ORCID 0000-0002-1989-6738
Elisa PelosinDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal Child Health, University of Genova, Genova, Italy.ORCID 0000-0002-9880-2241
Alice NieuwboerDepartment of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
Laura AvanzinoIRCCS Ospedale Policlinico San Martino, Genoa, Italy.ORCID 0000-0001-6286-1509
Dante MantiniMovement Control and Neuroplasticity Research Group, KU Leuven, Leuven, Belgium.ORCID 0000-0001-6485-5559
KU Leuven · BEOspedale Policlinico San Martino · ITAzienda Ospedaliera S.Maria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Balance and walking are fundamental to support common daily activities. Relatively accurate characterizations of normal and impaired gait features were attained at the kinematic and muscular levels. Conversely, the neural processes underlying gait dynamics still need to be elucidated. To shed light on gait-related modulations of neural activity, we collected high-density electroencephalography (hdEEG) signals and ankle acceleration data in young healthy participants during treadmill walking. We used the ankle acceleration data to segment each gait cycle in four phases: initial double support, right leg swing, final double support, left leg swing. Then, we processed hdEEG signals to extract neural oscillations in alpha, beta, and gamma bands, and examined event-related desynchronization/synchronization (ERD/ERS) across gait phases. Our results showed that ERD/ERS modulations for alpha, beta, and gamma bands were strongest in the primary sensorimotor cortex (M1), but were also found in premotor cortex, thalamus and cerebellum. We observed a modulation of neural oscillations across gait phases in M1 and cerebellum, and an interaction between frequency band and gait phase in premotor cortex and thalamus. Furthermore, an ERD/ERS lateralization effect was present in M1 for the alpha and beta bands, and in the cerebellum for the beta and gamma bands. Overall, our findings demonstrate that an electrophysiological source imaging approach based on hdEEG can be used to investigate dynamic neural processes of gait control. Future work on the development of mobile hdEEG-based brain-body imaging platforms may enable overground walking investigations, with potential applications in the study of gait disorders.

Indexed as

Motor CortexSensorimotor CortexElectroencephalographyGaitHumansWalkingElectroencephalography (EEG)gait analysismobile brain-body imaging (MoBI)motor controlneural activity

Identifiers

PMID35384123
PMCPMC9248303
OpenAlexW4224256130

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 OpenQuestion graph.