Evidence map›Paper›PMID 40813878›Full record

ArticleScientific reports2025

Cortical spectral dynamics of vibrotactile frequency processing.

Nabi Rustamov, Phillip Demarest, Zhuangyu Han, Safia Mohamud, Simon Haroutounian, Eric C Leuthardt

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Nabi RustamovDepartment of Neurological Surgery, Division of Neurotechnology, Center for Innovation in Neuroscience and Technology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA. nrustamov@huhosp.org.
Phillip DemarestDepartment of Neurological Surgery, Division of Neurotechnology, Center for Innovation in Neuroscience and Technology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
Zhuangyu HanDepartment of Neurological Surgery, Division of Neurotechnology, Center for Innovation in Neuroscience and Technology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
Safia MohamudDepartment of Neurology, Howard University Hospital, Howard University School of Medicine, Washington, DC, USA.
Simon HaroutounianDepartment of Anesthesiology, Division of Clinical and Translational Research, Washington University Pain Center, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
Eric C LeuthardtDepartment of Neurological Surgery, Division of Neurotechnology, Center for Innovation in Neuroscience and Technology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA. leuthardte@wustl.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While scientific research has extensively explored how the brain integrates touch and pain signals, the cerebral processing of specific vibrotactile frequencies remains poorly understood. This gap is particularly significant given clinical evidence that vibrotactile stimulation can reduce pain in both chronic pain patients and experimental settings. Our study investigated the cortical electrophysiological correlates of peripheral vibrotactile stimulation across different frequencies in healthy volunteers, with a focus on frequency-dependent patterns of neuronal activation. While electroencephalogram (EEG) was recorded, healthy participants received vibrotactile stimulation (high-frequency burst stimulation with different inter-burst intervals) to the left index fingertip at frequencies corresponding to established neural rhythms: delta (2 Hz), theta (6 Hz), alpha (12 Hz), beta (20 Hz), and gamma (40 Hz). We compared the EEG bandwidth activity between vibrotactile stimulation conditions relative to resting baseline. Our findings demonstrated that vibrotactile stimulation produces distinct frequency-dependent patterns of cortical activation. A key finding was that 6 Hz stimulation selectively enhanced theta power in the left prefrontal cortex - an electrophysiological signature previously linked to successful pain relief. These findings advance the understanding of the "spectrotopic" nature of vibrotactile frequency processing in the cortex and provide a mechanistic foundation for developing novel vibration-based therapies in the future.

Indexed as

Cerebral CortexTouchVibrationAdultElectroencephalographyFemaleHealthy VolunteersHumansMalePhysical StimulationTouch PerceptionYoung AdultFrontal theta powerPower spectraVibrotactile stimulation

Identifiers

PMID40813878
PMCPMC12354727

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Registered trials

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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.