Numbers and letters are the fundamental building blocks of our everyday social interactions. Previous studies have focused on determining the cortical pathways shaped by numeracy and literacy in the human brain, partially supporting the hypothesis of distinct perceptual neural circuits involved in the visual processing of the two categories. In this study, we aim to investigate the temporal dynamics for number and letter processing. We present magnetoencephalography (MEG) data from two experiments (N = 25 each). In the first experiment, single numbers, letters, and their respective false fonts (false numbers and false letters) were presented, whereas, in the second experiment, numbers, letters, and their respective false fonts were presented as a string of characters. We used multivariate pattern analysis techniques (time-resolved decoding and temporal generalization), testing the strong hypothesis that the neural correlates supporting letter and number processing can be logistically classified as categorically separate. Our results show a very early dissociation (similar to 100 ms) between numbers, and letters when compared to false fonts. Number processing can be dissociated with similar accuracy when presented as isolated items or strings of characters, while letter processing shows dissociable classification accuracy for single items compared to strings. These findings reinforce the evidence indicating that early visual processing can be differently shaped by the experience with numbers and letters; this dissociation is stronger for strings compared to single items, thus showing that combinatorial mechanisms for numbers and letters could be categorically distinguished and influence early visual processing.
机构:
Univ Chinese Acad Sci, Sino Danish Ctr, Beijing 100190, Peoples R China
Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China
Aarhus Univ, Core Ctr Mol Morphol, Dept Clin Med, Sect Stereol & Microscopy, DK-8200 Aarhus N, DenmarkUniv Chinese Acad Sci, Sino Danish Ctr, Beijing 100190, Peoples R China
Erichsen, Camilla T.
Li, Deying
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Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R ChinaUniv Chinese Acad Sci, Sino Danish Ctr, Beijing 100190, Peoples R China
Li, Deying
Fan, Lingzhong
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Univ Chinese Acad Sci, Sino Danish Ctr, Beijing 100190, Peoples R China
Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China
Aarhus Univ, Core Ctr Mol Morphol, Dept Clin Med, Sect Stereol & Microscopy, DK-8200 Aarhus N, Denmark
Univ Hlth & Rehabil Sci, Sch Hlth & Life Sci, Qingdao 266000, Peoples R ChinaUniv Chinese Acad Sci, Sino Danish Ctr, Beijing 100190, Peoples R China
机构:
Univ Oxford, Psychol & Dev Cognit Neurosci, Oxford Visual Dev Unit, London, England
Univ Oxford, Psychol & Dev Cognit Neurosci, Oxford Visual Dev Unit, Oxford, EnglandUniv Oxford, Psychol & Dev Cognit Neurosci, Oxford Visual Dev Unit, London, England