Characterizing and Modulating Brain Circuitry through Transcranial Magnetic Stimulation Combined with Electroencephalography
The concurrent combination of transcranial magnetic stimulation (TMS) with electroencephalography (TMS-EEG) is a powerful technology for characterizing and modulating brain networks across developmental, behavioral and disease states. Given the global initiatives in mapping the human brain, recognit...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2016-09-01
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| Series: | Frontiers in Neural Circuits |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncir.2016.00073/full |
| _version_ | 1818911359650234368 |
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| author | Faranak Farzan Marine Vernet Mouhsin Shafi Alexander Rotenberg Zafiris Jeff Daskalakis Alvaro Pascual-Leone |
| author_facet | Faranak Farzan Marine Vernet Mouhsin Shafi Alexander Rotenberg Zafiris Jeff Daskalakis Alvaro Pascual-Leone |
| author_sort | Faranak Farzan |
| collection | DOAJ |
| description | The concurrent combination of transcranial magnetic stimulation (TMS) with electroencephalography (TMS-EEG) is a powerful technology for characterizing and modulating brain networks across developmental, behavioral and disease states. Given the global initiatives in mapping the human brain, recognition of the utility of this technique is growing across neuroscience disciplines. Importantly, TMS-EEG offers translational biomarkers that can be applied in health and disease, across the lifespan, and in humans and animals, bridging the gap between animal models and human studies. However, to utilize the full potential of TMS-EEG methodology, standardization of TMS-EEG study protocols is needed. In this article, we review the principles of TMS-EEG methodology, factors impacting TMS-EEG outcome measures, and the techniques for preventing and correcting artifacts in TMS-EEG data. To promote the standardization of this technique, we provide comprehensive guides for designing TMS-EEG studies and conducting TMS-EEG experiments. We conclude by reviewing the application of TMS-EEG in basic, cognitive and clinical neurosciences, and evaluate the potential of this emerging technology in brain research. |
| first_indexed | 2024-12-19T22:57:27Z |
| format | Article |
| id | doaj.art-f5849d8aaf2040b7a2cc0c342432ba73 |
| institution | Directory Open Access Journal |
| issn | 1662-5110 |
| language | English |
| last_indexed | 2024-12-19T22:57:27Z |
| publishDate | 2016-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neural Circuits |
| spelling | doaj.art-f5849d8aaf2040b7a2cc0c342432ba732022-12-21T20:02:37ZengFrontiers Media S.A.Frontiers in Neural Circuits1662-51102016-09-011010.3389/fncir.2016.00073215361Characterizing and Modulating Brain Circuitry through Transcranial Magnetic Stimulation Combined with ElectroencephalographyFaranak Farzan0Marine Vernet1Mouhsin Shafi2Alexander Rotenberg3Zafiris Jeff Daskalakis4Alvaro Pascual-Leone5University of Toronto/Centre for Addiction and Mental HealthHarvard Medical SchoolHarvard Medical SchoolHarvard Medical SchoolUniversity of Toronto/Centre for Addiction and Mental HealthHarvard Medical SchoolThe concurrent combination of transcranial magnetic stimulation (TMS) with electroencephalography (TMS-EEG) is a powerful technology for characterizing and modulating brain networks across developmental, behavioral and disease states. Given the global initiatives in mapping the human brain, recognition of the utility of this technique is growing across neuroscience disciplines. Importantly, TMS-EEG offers translational biomarkers that can be applied in health and disease, across the lifespan, and in humans and animals, bridging the gap between animal models and human studies. However, to utilize the full potential of TMS-EEG methodology, standardization of TMS-EEG study protocols is needed. In this article, we review the principles of TMS-EEG methodology, factors impacting TMS-EEG outcome measures, and the techniques for preventing and correcting artifacts in TMS-EEG data. To promote the standardization of this technique, we provide comprehensive guides for designing TMS-EEG studies and conducting TMS-EEG experiments. We conclude by reviewing the application of TMS-EEG in basic, cognitive and clinical neurosciences, and evaluate the potential of this emerging technology in brain research.http://journal.frontiersin.org/Journal/10.3389/fncir.2016.00073/fullBrain MappingTranscranial Magnetic StimulationNeuromodulationBiomarker DiscoveryElectroencephalography (EEG)Signal processing |
| spellingShingle | Faranak Farzan Marine Vernet Mouhsin Shafi Alexander Rotenberg Zafiris Jeff Daskalakis Alvaro Pascual-Leone Characterizing and Modulating Brain Circuitry through Transcranial Magnetic Stimulation Combined with Electroencephalography Frontiers in Neural Circuits Brain Mapping Transcranial Magnetic Stimulation Neuromodulation Biomarker Discovery Electroencephalography (EEG) Signal processing |
| title | Characterizing and Modulating Brain Circuitry through Transcranial Magnetic Stimulation Combined with Electroencephalography |
| title_full | Characterizing and Modulating Brain Circuitry through Transcranial Magnetic Stimulation Combined with Electroencephalography |
| title_fullStr | Characterizing and Modulating Brain Circuitry through Transcranial Magnetic Stimulation Combined with Electroencephalography |
| title_full_unstemmed | Characterizing and Modulating Brain Circuitry through Transcranial Magnetic Stimulation Combined with Electroencephalography |
| title_short | Characterizing and Modulating Brain Circuitry through Transcranial Magnetic Stimulation Combined with Electroencephalography |
| title_sort | characterizing and modulating brain circuitry through transcranial magnetic stimulation combined with electroencephalography |
| topic | Brain Mapping Transcranial Magnetic Stimulation Neuromodulation Biomarker Discovery Electroencephalography (EEG) Signal processing |
| url | http://journal.frontiersin.org/Journal/10.3389/fncir.2016.00073/full |
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