The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Modulating Neuronal Activity Produces Specific and Long-Lasting Changes in Numerical Competence
Open accessAbstract
Around 20% of the population exhibits moderate to severe numerical disabilities [1-3], and a further percentage loses its numerical competence during the lifespan as a result of stroke or degenerative diseases [4]. In this work, we investigated the feasibility of using noninvasive stimulation to the parietal lobe during numerical learning to selectively improve numerical abilities. We used transcranial direct current stimulation (TDCS), a method that can selectively inhibit or excitate neuronal populations by modulating GABAergic (anodal stimulation) and glutamatergic (cathodal stimulation) activity [5, 6]. We trained subjects for 6 days with artificial numerical symbols, during which we applied concurrent TDCS to the parietal lobes. The polarity of the brain stimulation specifically enhanced or impaired the acquisition of automatic number processing and the mapping of number into space, both important indices of numerical proficiency [7-9]. The improvement was still present 6 months after the training. Control tasks revealed that the effect of brain stimulation was specific to the representation of artificial numerical symbols. The specificity and longevity of TDCS on numerical abilities establishes TDCS as a realistic tool for intervention in cases of atypical numerical development or loss of numerical abilities because of stroke or degenerative illnesses.
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Cited by
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Transcranial Direct Current Stimulation (tDCS): A Beginner's Guide for Design and Implementation
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Metadata
- Authors
- Cohen Kadosh, R., Soskic, S., Iuculano, T., Kanai, R., & Walsh, V.
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2010-11
- Volume
- 20
- Issue
- 22
- Pages
- 2016-2020
- ISSN
- 0960-9822 (ISSN-L)
- OpenAlex
- W2000780578
- Cited by
- 362
- References
- 39
- FWCI
- 12.06
- Type
- journal article
- Language
- en
- Open access
- hybrid
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