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Is Transcranial Alternating Current Stimulation Effective in Modulating Brain Oscillations?

Overview of attention for article published in PLOS ONE, February 2013
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Title
Is Transcranial Alternating Current Stimulation Effective in Modulating Brain Oscillations?
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0056589
Pubmed ID
Authors

Debora Brignani, Manuela Ruzzoli, Piercarlo Mauri, Carlo Miniussi

Abstract

Transcranial alternating current stimulation (tACS) is a promising tool for modulating brain oscillations, as well as a possible therapeutic intervention. However, the lack of conclusive evidence on whether tACS is able to effectively affect cortical activity continues to limit its application. The present study aims to address this issue by exploiting the well-known inhibitory alpha rhythm in the posterior parietal cortex during visual perception and attention orientation. Four groups of healthy volunteers were tested with a Gabor patch detection and discrimination task. All participants were tested at the baseline and selective frequencies of tACS, including Sham, 6 Hz, 10 Hz, and 25 Hz. Stimulation at 6 Hz and 10 Hz over the occipito-parietal area impaired performance in the detection task compared to the baseline. The lack of a retinotopically organised effect and marginal frequency-specificity modulation in the detection task force us to be cautious about the effectiveness of tACS in modulating brain oscillations. Therefore, the present study does not provide significant evidence for tACS reliably inducing direct modulations of brain oscillations that can influence performance in a visual task.

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The data shown below were compiled from readership statistics for 353 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
Italy 2 <1%
United States 2 <1%
Spain 2 <1%
Canada 1 <1%
Sweden 1 <1%
Germany 1 <1%
China 1 <1%
Unknown 340 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 76 22%
Student > Master 62 18%
Researcher 61 17%
Student > Bachelor 40 11%
Student > Doctoral Student 25 7%
Other 45 13%
Unknown 44 12%
Readers by discipline Count As %
Psychology 111 31%
Neuroscience 74 21%
Agricultural and Biological Sciences 28 8%
Medicine and Dentistry 28 8%
Engineering 16 5%
Other 24 7%
Unknown 72 20%