Evidence map›Paper›PMID 38790917›Full record

ArticleBiomedicines2024

Exploring Motor Network Connectivity in State-Dependent Transcranial Magnetic Stimulation: A Proof-of-Concept Study.

Laura Marzetti, Alessio Basti, Roberto Guidotti, Antonello Baldassarre, Johanna Metsomaa, Christoph Zrenner, Antea D'Andrea, Saeed Makkinayeri, Giulia Pieramico, Risto J Ilmoniemi and 3 more

Abstract read
In one paragraph

Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

13 authors.

Laura MarzettiDepartment of Neuroscience, Imaging and Clinical Sciences, G. d'Annunzio University of Chieti-Pescara, Via dei Vestini 31, 66100 Chieti, Italy.ORCID 0000-0002-6481-3743
Alessio BastiDepartment of Neuroscience, Imaging and Clinical Sciences, G. d'Annunzio University of Chieti-Pescara, Via dei Vestini 31, 66100 Chieti, Italy.
Roberto GuidottiDepartment of Neuroscience, Imaging and Clinical Sciences, G. d'Annunzio University of Chieti-Pescara, Via dei Vestini 31, 66100 Chieti, Italy.ORCID 0000-0002-0807-6005
Antonello BaldassarreDepartment of Neuroscience, Imaging and Clinical Sciences, G. d'Annunzio University of Chieti-Pescara, Via dei Vestini 31, 66100 Chieti, Italy.
Johanna MetsomaaHertie Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany.
Christoph ZrennerDepartment of Neurology & Stroke, University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0002-9595-6923
Antea D'AndreaDepartment of Neuroscience, Imaging and Clinical Sciences, G. d'Annunzio University of Chieti-Pescara, Via dei Vestini 31, 66100 Chieti, Italy.ORCID 0000-0001-9507-9505
Saeed MakkinayeriDepartment of Neuroscience, Imaging and Clinical Sciences, G. d'Annunzio University of Chieti-Pescara, Via dei Vestini 31, 66100 Chieti, Italy.
Giulia PieramicoDepartment of Neuroscience, Imaging and Clinical Sciences, G. d'Annunzio University of Chieti-Pescara, Via dei Vestini 31, 66100 Chieti, Italy.ORCID 0009-0006-8183-1376
Risto J IlmoniemiDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, P.O. Box 12200, 00076 Aalto, Finland.
Ulf ZiemannHertie Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0001-8372-3615
Gian Luca RomaniInstitute for Advanced Biomedical Technologies, G. d'Annunzio University of Chieti-Pescara, Via dei Vestini 31, 66100 Chieti, Italy.
Vittorio PizzellaDepartment of Neuroscience, Imaging and Clinical Sciences, G. d'Annunzio University of Chieti-Pescara, Via dei Vestini 31, 66100 Chieti, Italy.ORCID 0000-0002-0452-1108

Funding

European Research Council 810377Italian Ministry of University and Research (MUR), funded by the European Union - NextGenerationEU 20222ZLPFCItalian Ministry of University and Research (MUR), funded by the European Union - NextGenerationEU P2022PX9ES
6 · The paper itself

Abstract

State-dependent non-invasive brain stimulation (NIBS) informed by electroencephalography (EEG) has contributed to the understanding of NIBS inter-subject and inter-session variability. While these approaches focus on local EEG characteristics, it is acknowledged that the brain exhibits an intrinsic long-range dynamic organization in networks. This proof-of-concept study explores whether EEG connectivity of the primary motor cortex (M1) in the pre-stimulation period aligns with the Motor Network (MN) and how the MN state affects responses to the transcranial magnetic stimulation (TMS) of M1. One thousand suprathreshold TMS pulses were delivered to the left M1 in eight subjects at rest, with simultaneous EEG. Motor-evoked potentials (MEPs) were measured from the right hand. The source space functional connectivity of the left M1 to the whole brain was assessed using the imaginary part of the phase locking value at the frequency of the sensorimotor μ-rhythm in a 1 s window before the pulse. Group-level connectivity revealed functional links between the left M1, left supplementary motor area, and right M1. Also, pulses delivered at high MN connectivity states result in a greater MEP amplitude compared to low connectivity states. At the single-subject level, this relation is more highly expressed in subjects that feature an overall high cortico-spinal excitability. In conclusion, this study paves the way for MN connectivity-based NIBS.

Indexed as

brain statecorticospinal excitabilityelectroencephalography (EEG)functional connectivitymotor evoked potential (MEP)Motor Networktranscranial magnetic stimulation (TMS)

Identifiers

PMID38790917
PMCPMC11118810

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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.