Literature DB >> 27224886

Transcranial random noise stimulation benefits arithmetic skills.

Achille Pasqualotto1.   

Abstract

Although arithmetic skills are crucial cognitive abilities, numeric competence impairments affect a significant portion of the young population. These problems produce a high socio-economic cost by negatively affecting scholastic and work performance. The parietal cortex is the brain area that is classically associated with numeric processing, but it is still debated whether other cortical areas are involved, and only a few studies tried to directly assess the causal link between brain and this cognitive function by using transcranial random noise stimulation, tRNS. This non-invasive electric stimulation device has been shown to enhance activity in the underlying cortex. We tested three groups of participants with equivalent arithmetic skills - an arithmetic 'screening' was administered. One group was stimulated by tRNS on the frontal lobe, another on the parietal lobe, and a third group was assigned to the placebo condition. During the stimulation, participants performed a subtraction verification task. To investigate long-term effects of tRNS, the task was repeated seven days later without stimulation. Aside previously-tested (familiar) subtractions, in the second experimental session unfamiliar subtractions were also administered. We found that, compared to placebo, parietal and frontal stimulation significantly reduced reaction times immediately, and enhanced accuracy after seven days. This benefit encompassed both familiar and unfamiliar subtractions. These results suggest that modulation of frontal and parietal cortices may ameliorate basic arithmetic skills by benefitting working memory function. This could open new avenues for neuro-restorative applications of brain stimulation.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acalculia; Arithmetic competence; Dyscalculia; Frontal cortex; Parietal cortex; Transcranial random noise stimulation

Mesh:

Year:  2016        PMID: 27224886     DOI: 10.1016/j.nlm.2016.05.004

Source DB:  PubMed          Journal:  Neurobiol Learn Mem        ISSN: 1074-7427            Impact factor:   2.877


  7 in total

Review 1.  Understanding the Effects of Transcranial Electrical Stimulation in Numerical Cognition: A Systematic Review for Clinical Translation.

Authors:  Giulia Lazzaro; Elisa Fucà; Cristina Caciolo; Andrea Battisti; Floriana Costanzo; Cristiana Varuzza; Stefano Vicari; Deny Menghini
Journal:  J Clin Med       Date:  2022-04-07       Impact factor: 4.964

2.  Low to No Effect: Application of tRNS During Two-Digit Addition.

Authors:  Silke M Bieck; Christina Artemenko; Korbinian Moeller; Elise Klein
Journal:  Front Neurosci       Date:  2018-04-05       Impact factor: 4.677

3.  Transcranial Electrical Stimulation and Behavioral Change: The Intermediary Influence of the Brain.

Authors:  Siobhán Harty; Francesco Sella; Roi Cohen Kadosh
Journal:  Front Hum Neurosci       Date:  2017-03-14       Impact factor: 3.169

4.  Transcranial random noise stimulation (tRNS): a wide range of frequencies is needed for increasing cortical excitability.

Authors:  Beatrice Moret; Rita Donato; Massimo Nucci; Giorgia Cona; Gianluca Campana
Journal:  Sci Rep       Date:  2019-10-22       Impact factor: 4.379

5.  Modification of Eye-Head Coordination With High Frequency Random Noise Stimulation.

Authors:  Yusuke Maeda; Makoto Suzuki; Naoki Iso; Takuhiro Okabe; Kilchoon Cho; Yin-Jung Wang
Journal:  Front Hum Neurosci       Date:  2020-11-20       Impact factor: 3.169

6.  Electrophysiological aftereffects of high-frequency transcranial random noise stimulation (hf-tRNS): an EEG investigation.

Authors:  Filippo Ghin; Louise O'Hare; Andrea Pavan
Journal:  Exp Brain Res       Date:  2021-06-08       Impact factor: 1.972

7.  Performance after training in a complex cognitive task is enhanced by high-definition transcranial random noise stimulation.

Authors:  Quentin Chenot; Caroline Hamery; Evelyne Lepron; Pierre Besson; Xavier De Boissezon; Stéphane Perrey; Sébastien Scannella
Journal:  Sci Rep       Date:  2022-03-17       Impact factor: 4.379

  7 in total

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