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Cited by 513

The DOI matches its Crossref record; 124 of the 124 references it cites were found in a registry or an index.

Transcranial Direct Current Stimulation (tDCS): A Beginner's Guide for Design and Implementation

Open access
Thair, Hayley, Holloway, Amy L., Newport, Roger, Smith, Alastair D.·2017·Frontiers in Neuroscience

Abstract

Transcranial direct current stimulation (tDCS) is a popular brain stimulation method that is used to modulate cortical excitability, producing facilitatory or inhibitory effects upon a variety of behaviors. There is, however, a current lack of consensus between studies, with many results suggesting that polarity-specific effects are difficult to obtain. This article explores some of these differences and highlights the experimental parameters that may underlie their occurrence. We provide a general, practical snapshot of tDCS methodology, including what it is used for, how to use it, and considerations for designing an effective and safe experiment. Our aim is to equip researchers who are new to tDCS with the essential knowledge so that they can make informed and well-rounded decisions when designing and running successful experiments. By summarizing the varied approaches, stimulation parameters, and outcomes, this article should help inform future tDCS research in a variety of fields.

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Metadata

Authors
Thair, H., Holloway, A. L., Newport, R., & Smith, A. D.
Venue
Frontiers in Neuroscience
Published
2017-11-22
Volume
11
Pages
641-641
ISSN
1662-453X (ISSN-L)
OpenAlex
W2769021531
Cited by
513
References
124
FWCI
9.62
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Transcranial Direct Current Stimulation (tDCS): A Beginner's Guide for Design and Implementation. https://app.cochat.ai/papers/10.3389/fnins.2017.00641
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Thair, H., Holloway, A. L., Newport, R., & Smith, A. D. (2017). Transcranial Direct Current Stimulation (tDCS): A Beginner's Guide for Design and Implementation. Frontiers in Neuroscience. https://doi.org/10.3389/fnins.2017.00641

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.