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Static magnetic field stimulation over motor cortex modulates resting functional connectivity in humans
Hosp Nacl Paraplej, SESCAM, FENNSI Grp, Finca La Peraleda S-N, Toledo 45071, Spain..
Hosp Nacl Paraplej, SESCAM, FENNSI Grp, Finca La Peraleda S-N, Toledo 45071, Spain..
Hosp Nacl Paraplej, SESCAM, FENNSI Grp, Finca La Peraleda S-N, Toledo 45071, Spain.;Univ Castilla la Mancha, Toledo, Spain..
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Hosp Nacl Paraplej, SESCAM, FENNSI Grp, Finca La Peraleda S-N, Toledo 45071, Spain..ORCID iD: 0000-0003-1280-5087
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2022 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 12, no 1, article id 7834Article in journal (Refereed) Published
Abstract [en]

Focal application of transcranial static magnetic field stimulation (tSMS) over the human motor cortex induces local changes in cortical excitability. Whether tSMS can also induce distant network effects, and how these local and distant effects may vary over time, is currently unknown. In this study, we applied 10 min tSMS over the left motor cortex of healthy subjects using a real/sham parallel design. To measure tSMS effects at the sensori-motor network level, we used resting-state fMRI. Real tSMS, but not sham, reduced functional connectivity within the stimulated sensori-motor network. This effect of tSMS showed time-dependency, returning to sham levels after the first 5 min of fMRI scanning. With 10 min real tSMS over the motor cortex we did not observe effects in other functional networks examined (default mode and visual system networks). In conclusion, 10 min of tSMS over a location within the sensori-motor network reduces functional connectivity within the same functional network.

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Nature Publishing Group, 2022. Vol. 12, no 1, article id 7834
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Immunology in the medical area
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URN: urn:nbn:se:mau:diva-51694DOI: 10.1038/s41598-022-11859-5ISI: 000795163100059PubMedID: 35551490Scopus ID: 2-s2.0-85130055040OAI: oai:DiVA.org:mau-51694DiVA, id: diva2:1661664
Available from: 2022-05-30 Created: 2022-05-30 Last updated: 2024-02-05Bibliographically approved

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Carrasco-Lopez, Carmen

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Internet of Things and People (IOTAP)Department of Computer Science and Media Technology (DVMT)
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