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Cited by 280

The DOI matches its Crossref record; 156 of the 156 references it cites were found in a registry or an index.

Assessing cortical network properties using TMS–EEG

Open access
Rogasch, Nigel C., Fitzgerald, Paul B.·2013·Human Brain Mapping
DOI 10.1002/hbm.22016
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Abstract

The past decade has seen significant developments in the concurrent use of transcranial magnetic stimulation (TMS) and electroencephalography (EEG) to directly assess cortical network properties such as excitability and connectivity in humans. New hardware solutions, improved EEG amplifier technology, and advanced data processing techniques have allowed substantial reduction of the TMS‐induced artifact, which had previously rendered concurrent TMS–EEG impossible. Various physiological artifacts resulting from TMS have also been identified, and methods are being developed to either minimize or remove these sources of artifact. With these developments, TMS–EEG has unlocked regions of the cortex to researchers that were previously inaccessible to TMS. By recording the TMS‐evoked response directly from the cortex, TMS–EEG provides information on the excitability, effective connectivity, and oscillatory tuning of a given cortical area, removing the need to infer such measurements from indirect measures. In the following review, we investigate the different online and offline methods for reducing artifacts in TMS–EEG recordings and the physiological information contained within the TMS‐evoked cortical response. We then address the use of TMS–EEG to assess different cortical mechanisms such as cortical inhibition and neural plasticity, before briefly reviewing studies that have utilized TMS–EEG to explore cortical network properties at rest and during different functional brain states. Hum Brain Mapp, 2013. © 2012 Wiley Periodicals, Inc.

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Metadata

Authors
Rogasch, N. C., & Fitzgerald, P. B.
Venue
Human Brain Mapping
Publisher
Wiley
Published
2012-02-29
Volume
34
Issue
7
Pages
1652-1669
ISSN
  • 1065-9471 (ISSN-L)
  • 1097-0193
DOI
10.1002/hbm.22016
OpenAlex
W2023386843
Cited by
280
References
156
FWCI
5.07
Type
journal article
Language
en
Open access
bronze

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