Evaluating the Intrinsic Electromagnetic Field Generated by Neurons From Repetitive Motor Activities in Humans With a Non-contact Non-invasive Electromagnetic Helmet.

Cureus · 2022 · Unclear · Insufficient evidence

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UnclearInsufficient evidencePaper 5744

Study snapshot

PublicationCureus · 2022

Study typeother

Reported directionUnclear

Evidence ratingInsufficient

Abstract

Introduction The actions of neurons are dependent on electrochemical signal pathways mediated by neurotransmitters and create measurable electrical charges. These charges have been found to be measurable through neuroimaging technologies and now through a novel non-contact non-invasive sensor without supercooling. Identifying whether this technology can be appropriately interpreted with synchronized motor well-defined activities in vivo may allow for further clinical applications. Methods A non-contact, non-invasive helmet constructed and modified using shielding technology with proprietary magnetic field sensors was utilized to measure the brain's electromagnetic field (EMF). Human volunteers donned helmets and were asked to perform repetitive tapping exercises in order to identify waves consistent with tapping from the left and right hemispheres. A gyroscope was utilized to ensure that measured waves were not from micro-movement but were from neuronal firing. Multiple individuals were tested to evaluate the reproducibility of tapping and commonalities between individuals Results Right and left-sided tapping generated discernible wave changes from baseline measurements obtained by the helmet without a subject as well as differed from when the subject was at rest. Wave patterns varied from person to person but were overall similar in each subject individually. Shielding was necessary to identify signals but EMF was identified when shielding was transitioned from around the helmet to within the helmet design. Conclusion It is possible to measure in-vivo electromagnetic fields generated by the human brain generated by stereotyped tasks in a non-contact non-invasive manner. These waves were reliably obtained within each individual with some variability in morphology from subject to subject however were similar in each subject. Signals varied based on activity and stereotyped motor activities were identified. A helmet using shielding technology within the helmet itself was able to effectively identify EMF signals. Future analysis may focus on translating these waves into functional mapping for clinical applications.

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AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typeother

Effect directionunclear

PopulationHuman volunteers

Sample sizeNot supplied

ExposureNot supplied

Evidence strengthInsufficientConfidence: 74% · Peer reviewed: yes

Main findings

Using a non-contact, non-invasive helmet with proprietary magnetic field sensors, repetitive right- and left-sided tapping produced discernible wave changes compared with baseline (helmet without a subject) and compared with the subject at rest. Wave patterns varied between individuals but were reported to be similar within each individual; shielding was described as necessary to identify signals, including when moved within the helmet design.

Outcomes measured

Detectability of brain EMF signals during repetitive motor tapping
Differences in measured wave patterns between tapping vs rest vs baseline (no subject)
Reproducibility of wave patterns within individuals
Impact of shielding configuration on signal identification

Limitations

Sample size not reported in abstract
No quantitative results or statistical analyses reported in abstract
Sensor specifications and measurement parameters (e.g., frequency range, field strength) not reported in abstract
Proprietary sensors and shielding methods limit interpretability/replicability based on abstract alone

View raw extracted JSON

{
  "study_type": "other",
  "exposure": {
    "band": null,
    "source": "brain neuronal activity (intrinsic EMF) measured with non-contact helmet",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": "Human volunteers",
  "sample_size": null,
  "outcomes": [
    "Detectability of brain EMF signals during repetitive motor tapping",
    "Differences in measured wave patterns between tapping vs rest vs baseline (no subject)",
    "Reproducibility of wave patterns within individuals",
    "Impact of shielding configuration on signal identification"
  ],
  "main_findings": "Using a non-contact, non-invasive helmet with proprietary magnetic field sensors, repetitive right- and left-sided tapping produced discernible wave changes compared with baseline (helmet without a subject) and compared with the subject at rest. Wave patterns varied between individuals but were reported to be similar within each individual; shielding was described as necessary to identify signals, including when moved within the helmet design.",
  "effect_direction": "unclear",
  "limitations": [
    "Sample size not reported in abstract",
    "No quantitative results or statistical analyses reported in abstract",
    "Sensor specifications and measurement parameters (e.g., frequency range, field strength) not reported in abstract",
    "Proprietary sensors and shielding methods limit interpretability/replicability based on abstract alone"
  ],
  "evidence_strength": "insufficient",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "non-contact",
    "non-invasive",
    "helmet",
    "magnetic field sensors",
    "shielding",
    "brain electromagnetic field",
    "neuronal firing",
    "motor tapping",
    "gyroscope",
    "functional mapping"
  ],
  "suggested_hubs": []
}

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AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.7759/cureus.23006
PubMed: 35464528

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