Literature DB >> 24669789

Experience-dependent hemispheric specialization of letters and numbers is revealed in early visual processing.

Joonkoo Park1, Crystal Chiang, Elizabeth M Brannon, Marty G Woldorff.   

Abstract

Recent fMRI research has demonstrated that letters and numbers are preferentially processed in distinct regions and hemispheres in the visual cortex. In particular, the left visual cortex preferentially processes letters compared with numbers, whereas the right visual cortex preferentially processes numbers compared with letters. Because letters and numbers are cultural inventions and are otherwise physically arbitrary, such a double dissociation is strong evidence for experiential effects on neural architecture. Here, we use the high temporal resolution of ERPs to investigate the temporal dynamics of the neural dissociation between letters and numbers. We show that the divergence between ERP traces to letters and numbers emerges very early in processing. Letters evoked greater N1 waves (latencies 140-170 msec) than did numbers over left occipital channels, whereas numbers evoked greater N1s than letters over the right, suggesting letters and numbers are preferentially processed in opposite hemispheres early in visual encoding. Moreover, strings of letters, but not single letters, elicited greater P2 ERP waves (starting around 250 msec) than numbers did over the left hemisphere, suggesting that the visual cortex is tuned to selectively process combinations of letters, but not numbers, further along in the visual processing stream. Additionally, the processing of both of these culturally defined stimulus types differentiated from similar but unfamiliar visual stimulus forms (false fonts) even earlier in the processing stream (the P1 at 100 msec). These findings imply major cortical specialization processes within the visual system driven by experience with reading and mathematics.

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Year:  2014        PMID: 24669789      PMCID: PMC4261939          DOI: 10.1162/jocn_a_00621

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  44 in total

1.  ERP manifestations of processing printed words at different psycholinguistic levels: time course and scalp distribution.

Authors:  S Bentin; Y Mouchetant-Rostaing; M H Giard; J F Echallier; J Pernier
Journal:  J Cogn Neurosci       Date:  1999-05       Impact factor: 3.225

2.  How learning to read changes the cortical networks for vision and language.

Authors:  Stanislas Dehaene; Felipe Pegado; Lucia W Braga; Paulo Ventura; Gilberto Nunes Filho; Antoinette Jobert; Ghislaine Dehaene-Lambertz; Régine Kolinsky; José Morais; Laurent Cohen
Journal:  Science       Date:  2010-11-11       Impact factor: 47.728

3.  Neurophysiological signs of rapidly emerging visual expertise for symbol strings.

Authors:  Silvia Brem; Anette Lang-Dullenkopf; Urs Maurer; Pascal Halder; Kerstin Bucher; Daniel Brandeis
Journal:  Neuroreport       Date:  2005-01-19       Impact factor: 1.837

4.  An early electrophysiological response associated with expertise in letter perception.

Authors:  Alan C N Wong; Isabel Gauthier; Brion Woroch; Casey DeBuse; Tim Curran
Journal:  Cogn Affect Behav Neurosci       Date:  2005-09       Impact factor: 3.282

5.  Letter processing in the visual system: different activation patterns for single letters and strings.

Authors:  Karin H James; Thomas W James; Gael Jobard; Alan C N Wong; Isabel Gauthier
Journal:  Cogn Affect Behav Neurosci       Date:  2005-12       Impact factor: 3.282

6.  The organization of brain activations in number comparison: event-related potentials and the additive-factors method.

Authors:  S Dehaene
Journal:  J Cogn Neurosci       Date:  1996       Impact factor: 3.225

Review 7.  Event-related brain potentials in the study of visual selective attention.

Authors:  S A Hillyard; L Anllo-Vento
Journal:  Proc Natl Acad Sci U S A       Date:  1998-02-03       Impact factor: 11.205

8.  Relative laterality of the N170 to single letter stimuli is predicted by a concurrent neural index of implicit processing of letter names.

Authors:  Courtney Stevens; Autumn McIlraith; Neal Rusk; Madison Niermeyer; Hannah Waller
Journal:  Neuropsychologia       Date:  2012-12-27       Impact factor: 3.139

Review 9.  Spatial analysis of evoked potentials in man--a review.

Authors:  D Lehmann; W Skrandies
Journal:  Prog Neurobiol       Date:  1984       Impact factor: 11.685

Review 10.  Varieties of numerical abilities.

Authors:  S Dehaene
Journal:  Cognition       Date:  1992-08
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  7 in total

1.  A number-form area in the blind.

Authors:  Sami Abboud; Shachar Maidenbaum; Stanislas Dehaene; Amir Amedi
Journal:  Nat Commun       Date:  2015-01-23       Impact factor: 14.919

2.  The response relevance of visual stimuli modulates the P3 component and the underlying sensorimotor network.

Authors:  Dariusz Asanowicz; Krzysztof Gociewicz; Marcin Koculak; Karolina Finc; Kamil Bonna; Axel Cleeremans; Marek Binder
Journal:  Sci Rep       Date:  2020-03-02       Impact factor: 4.379

3.  Visual Occipito-Temporal N1 Sensitivity to Digits Across Elementary School.

Authors:  Gorka Fraga-González; Sarah V Di Pietro; Georgette Pleisch; Susanne Walitza; Daniel Brandeis; Iliana I Karipidis; Silvia Brem
Journal:  Front Hum Neurosci       Date:  2022-07-26       Impact factor: 3.473

4.  Neuroimaging Evidence of a Bilateral Representation for Visually Presented Numbers.

Authors:  Mareike Grotheer; Karl-Heinz Herrmann; Gyula Kovács
Journal:  J Neurosci       Date:  2016-01-06       Impact factor: 6.167

5.  Arithmetic Training Does Not Improve Approximate Number System Acuity.

Authors:  Marcus Lindskog; Anders Winman; Leo Poom
Journal:  Front Psychol       Date:  2016-10-25

6.  Lateralized Neural Responses to Letters and Digits in First Graders.

Authors:  Aliette Lochy; Christine Schiltz
Journal:  Child Dev       Date:  2019-10-27

7.  Neural association between non-verbal number sense and arithmetic fluency.

Authors:  Mengyi Li; Dazhi Cheng; Yujie Lu; Xinlin Zhou
Journal:  Hum Brain Mapp       Date:  2020-09-16       Impact factor: 5.038

  7 in total

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