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dc.contributor.authorGarcia Sanz, Sara-
dc.contributor.authorGhotme, Kemel A.-
dc.contributor.authorHedmont, Daniel-
dc.contributor.authorArévalo Jaimes, Maria Yesenia-
dc.contributor.authorCohen Kadosh, Roi-
dc.contributor.authorSerra-Grabulosa, Josep M-
dc.contributor.authorRedolar-Ripoll, Diego-
dc.contributor.otherUniversidad de La Sabana-
dc.contributor.otherUniversitat Oberta de Catalunya (UOC)-
dc.contributor.otherFundacion Santa Fe de Bogota-
dc.contributor.otherUniversity of Surrey-
dc.contributor.otherUniversitat de Barcelona (UB)-
dc.contributor.otherUniversitat de Vic-Universitat Central de Catalunya (UVic-UCC)-
dc.date.accessioned2022-07-14T09:28:26Z-
dc.date.available2022-07-14T09:28:26Z-
dc.date.issued2022-03-01-
dc.identifier.citationGarcia-Sanz, S., Ghotme, K.A., Hedmont, D., Arévalo-Jaimes, M.Y., Cohen Kadosh, R., Serra-Grabulosa, J.M. & Redolar-Ripoll, D. (2022). Use of transcranial magnetic stimulation for studying the neural basis of numerical cognition: A systematic review. Journal of Neuroscience Methods, 369, 1-20. doi: 10.1016/j.jneumeth.2022.109485-
dc.identifier.issn0165-0270MIAR
-
dc.identifier.urihttp://hdl.handle.net/10609/146551-
dc.description.abstractComplex numerical cognition is a crucial ability in the human brain. Conventional neuroimaging techniques do not differentiate between epiphenomena and neuronal groups critical to numerical cognition. Transcranial magnetic stimulation (TMS) allows defining causal models of the relationships between specific activated or inhibited neural regions and functional changes in cognition. However, there is insufficient knowledge on the differential effects of various TMS protocols and stimulation parameters on numerical cognition. This systematic review aimed to synthesize the evidence that different TMS protocols provide regarding the neural basis of numerical cognition in healthy adults. We included 21 experimental studies in which participants underwent any transcranial magnetic stimulation such as a single pulse TMS, repetitive TMS, and theta-burst stimulation. The primary outcome measures were any change in numerical cognition processes evidenced by numerical or magnitude tasks, measured with any independent variable like reaction times, accuracy, or congruency effects. TMS applied to regions of the parietal cortex and prefrontal cortex has neuromodulatory effects, which translate into measurable behavioral effects affecting cognitive functions related to arithmetic and numerical and magnitude processing. The use of TMS for the study of the neural bases of numerical cognition allows addressing issues such as localization, timing, lateralization and has allowed establishing site-function dissociations and double site-function dissociations. Moreover, this technique is in a moment of expansion due to the growing knowledge of its physiological effects and the enormous potential of combining TMS with other techniques such as electroencephalography, functional magnetic resonance imaging, or near-infrared spectroscopy to reach a more precise brain mapping.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherJournal of Neuroscience Methods-
dc.relation.ispartofJournal of Neuroscience Methods, 2022, 369(1)-
dc.relation.ispartofseries369;1-
dc.relation.urihttps://doi.org/10.1016/j.jneumeth.2022.109485-
dc.rightsCC BY-NC-ND 4.0-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0-
dc.subjectnon-invasive brain stimulationen
dc.subjectsimulación de cerebro no invasivaes
dc.subjectsimulació de cervell no invasivaca
dc.subjectnumerical cognitionen
dc.subjectcognición numéricaes
dc.subjectcognició numéricaca
dc.subjectcognitive neuroscienceen
dc.subjectneurociencia cognitivaes
dc.subjectneuriociència cognitivaca
dc.subjectparietal sulcusen
dc.subjectsurco parietales
dc.subjectsolc parietalca
dc.subject.lcshcognitionen
dc.titleUse of transcranial magnetic stimulation for studying the neural basis of numerical cognition: A systematic review-
dc.typeinfo:eu-repo/semantics/article-
dc.subject.lemaccognicióca
dc.subject.lcshescogniciónes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.doihttps://doi.org/10.1016/j.jneumeth.2022.109485-
dc.gir.idAR/0000009420-
dc.relation.projectIDinfo:eu-repo/grantAgreement/UniSabana/EDU-43-2019-
dc.type.versioninfo:eu-repo/semantics/publishedVersion-
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