Evidence map›Paper›PMID 37308784›Full record

ArticleScientific reports2023

From MEG to clinical EEG: evaluating a promising non-invasive estimator of defense-related muscle sympathetic nerve inhibition.

John J Eskelin, Linda C Lundblad, B Gunnar Wallin, Tomas Karlsson, Bushra Riaz, Daniel Lundqvist, Justin F Schneiderman, Mikael Elam

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Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

John J EskelinInstitute of Neuroscience and Physiology, Department of Clinical Neuroscience, Sahlgrenska Academy at University of Gothenburg, 413 45, Gothenburg, Sweden. john.jonsson.eskelin@gu.se.
Linda C LundbladInstitute of Neuroscience and Physiology, Department of Clinical Neuroscience, Sahlgrenska Academy at University of Gothenburg, 413 45, Gothenburg, Sweden.
B Gunnar WallinInstitute of Neuroscience and Physiology, Department of Clinical Neuroscience, Sahlgrenska Academy at University of Gothenburg, 413 45, Gothenburg, Sweden.
Tomas KarlssonInstitute of Neuroscience and Physiology, Department of Clinical Neuroscience, Sahlgrenska Academy at University of Gothenburg, 413 45, Gothenburg, Sweden.
Bushra RiazInstitute of Neuroscience and Physiology, Department of Clinical Neuroscience, Sahlgrenska Academy at University of Gothenburg, 413 45, Gothenburg, Sweden.
Daniel LundqvistNatMEG, Department of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden.
Justin F SchneidermanInstitute of Neuroscience and Physiology, Department of Clinical Neuroscience, Sahlgrenska Academy at University of Gothenburg, 413 45, Gothenburg, Sweden.
Mikael ElamInstitute of Neuroscience and Physiology, Department of Clinical Neuroscience, Sahlgrenska Academy at University of Gothenburg, 413 45, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sudden, unexpected stimuli can induce a transient inhibition of sympathetic vasoconstriction to skeletal muscle, indicating a link to defense reactions. This phenomenon is relatively stable within, but differs between, individuals. It correlates with blood pressure reactivity which is associated with cardiovascular risk. Inhibition of muscle sympathetic nerve activity (MSNA) is currently characterized through invasive microneurography in peripheral nerves. We recently reported that brain neural oscillatory power in the beta spectrum (beta rebound) recorded with magnetoencephalography (MEG) correlated closely with stimulus-induced MSNA inhibition. Aiming for a clinically more available surrogate variable reflecting MSNA inhibition, we investigated whether a similar approach with electroencephalography (EEG) can accurately gauge stimulus-induced beta rebound. We found that beta rebound shows similar tendencies to correlate with MSNA inhibition, but these EEG data lack the robustness of previous MEG results, although a correlation in the low beta band (13-20 Hz) to MSNA inhibition was found (p = 0.021). The predictive power is summarized in a receiver-operating-characteristics curve. The optimum threshold yielded sensitivity and false-positive rate of 0.74 and 0.33 respectively. A plausible confounder is myogenic noise. A more complicated experimental and/or analysis approach is required for differentiating MSNA-inhibitors from non-inhibitors based on EEG, as compared to MEG.

Indexed as

ElectroencephalographyMagnetoencephalographyAutonomic PathwaysBrainHumansMuscle, Skeletal

Identifiers

PMID37308784
PMCPMC10261137

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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.