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dc.contributor.authorVergara-Martínez, Marta
dc.contributor.authorGutierrez-Sigut, Eva
dc.contributor.authorPerea, Manuel
dc.contributor.authorGil-López, Cristina
dc.contributor.authorCarreiras, Manuel
dc.date.accessioned2021-07-06T09:52:43Z
dc.date.available2021-07-06T09:52:43Z
dc.date.issued2021
dc.identifier.citationMarta Vergara-Martínez, Eva Gutierrez-Sigut, Manuel Perea, Cristina Gil-López, Manuel Carreiras, The time course of processing handwritten words: An ERP investigation, Neuropsychologia, Volume 159, 2021, 107924, ISSN 0028-3932, https://doi.org/10.1016/j.neuropsychologia.2021.107924es_ES
dc.identifier.issn0028-3932
dc.identifier.urihttp://hdl.handle.net/10810/52179
dc.descriptionAvailable online 25 June 2021.es_ES
dc.description.abstractBehavioral studies have shown that the legibility of handwritten script hinders visual word recognition. Furthermore, when compared with printed words, lexical effects (e.g., word-frequency effect) are magnified for less intelligible (difficult) handwriting (Barnhart and Goldinger, 2010; Perea et al., 2016). This boost has been interpreted in terms of greater influence of top-down mechanisms during visual word recognition. In the present experiment, we registered the participants’ ERPs to uncover top-down processing effects on early perceptual encoding. Participants’ behavioral and EEG responses were recorded to high- and low-frequency words that varied in script’s legibility (printed, easy handwritten, difficult handwritten) in a lexical decision experiment. Behavioral results replicated previous findings: word-frequency effects were larger in difficult handwriting than in easy handwritten or printed conditions. Critically, the ERP data showed an early effect of word-frequency in the N170 that was restricted to the difficult-to-read handwritten condition. These results are interpreted in terms of increased attentional deployment when the bottom-up signal is weak (difficult handwritten stimuli). This attentional boost would enhance top-down effects (e.g., lexical effects) in the early stages of visual word processinges_ES
dc.description.sponsorshipThe research reported in this article has been partially funded by: Spanish Ministry of Science, Innovation and Universities (Grant PSI2017-86210-P); Basque Government through the BERC 2018–2021 program; Agencia Estatal de Investigación through BCBL Severo Ochoa excellence award SEV-2015-0490; and through project RTI2018-093547-B-I00.es_ES
dc.language.isoenges_ES
dc.publisherNeuropsychologiaes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/PSI2017‐86210‐Pes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/SEV-2015-0490es_ES
dc.relationinfo:eu-repo/grantAgreement/GV/BERC2018-2021es_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/RTI2018-093547-B-I00es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectVisual word recognitiones_ES
dc.subjectERPses_ES
dc.subjectHandwritten word processinges_ES
dc.titleThe time course of processing handwritten words: An ERP investigationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND licensees_ES
dc.relation.publisherversionhttps://www.sciencedirect.com/journal/neuropsychologiaes_ES
dc.identifier.doi10.1016/j.neuropsychologia.2021.107924


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