Literature DB >> 17502592

Visual word processing and experiential origins of functional selectivity in human extrastriate cortex.

Chris I Baker1, Jia Liu, Lawrence L Wald, Kenneth K Kwong, Thomas Benner, Nancy Kanwisher.   

Abstract

How do category-selective regions arise in human extrastriate cortex? Visually presented words provide an ideal test of the role of experience: Although individuals have extensive experience with visual words, our species has only been reading for a few thousand years, a period not thought to be long enough for natural selection to produce a genetically specified mechanism dedicated to visual word recognition per se. Using relatively high-resolution functional magnetic resonance imaging (1.4 x 1.4 x 2-mm voxels), we identified a small region of extrastriate cortex in most participants that responds selectively to both visually presented words and consonant strings, compared with line drawings, digit strings, and Chinese characters. Critically, we show that this pattern of selectivity is dependent on experience with specific orthographies: The same region responds more strongly to Hebrew words in Hebrew readers than in nonreaders of Hebrew. These results indicate that extensive experience with a given visual category can produce strong selectivity for that category in discrete cortical regions.

Entities:  

Mesh:

Year:  2007        PMID: 17502592      PMCID: PMC1885632          DOI: 10.1073/pnas.0703300104

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  54 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.  Clustering of perirhinal neurons with similar properties following visual experience in adult monkeys.

Authors:  C A Erickson; B Jagadeesh; R Desimone
Journal:  Nat Neurosci       Date:  2000-11       Impact factor: 24.884

3.  Shared and dissociated cortical regions for object and letter processing.

Authors:  Jane E Joseph; Ann D Gathers; Gerry A Piper
Journal:  Brain Res Cogn Brain Res       Date:  2003-06

Review 4.  The human visual cortex.

Authors:  Kalanit Grill-Spector; Rafael Malach
Journal:  Annu Rev Neurosci       Date:  2004       Impact factor: 12.449

5.  The visual what for area: words and pictures in the left fusiform gyrus.

Authors:  Randi Starrfelt; Christian Gerlach
Journal:  Neuroimage       Date:  2007-01-18       Impact factor: 6.556

6.  Visual complexity in letter-by-letter reading: "pure" alexia is not pure.

Authors:  M Behrmann; J Nelson; E B Sekuler
Journal:  Neuropsychologia       Date:  1998-11       Impact factor: 3.139

7.  The functional anatomy of single-word reading in patients with hemianopic and pure alexia.

Authors:  A P Leff; H Crewes; G T Plant; S K Scott; C Kennard; R J Wise
Journal:  Brain       Date:  2001-03       Impact factor: 13.501

8.  Coarse neural tuning for print peaks when children learn to read.

Authors:  Urs Maurer; Silvia Brem; Felicitas Kranz; Kerstin Bucher; Rosmarie Benz; Pascal Halder; Hans-Christoph Steinhausen; Daniel Brandeis
Journal:  Neuroimage       Date:  2006-08-21       Impact factor: 6.556

9.  Word recognition in the human inferior temporal lobe.

Authors:  A C Nobre; T Allison; G McCarthy
Journal:  Nature       Date:  1994-11-17       Impact factor: 49.962

10.  Disruption of posterior brain systems for reading in children with developmental dyslexia.

Authors:  Bennett A Shaywitz; Sally E Shaywitz; Kenneth R Pugh; W Einar Mencl; Robert K Fulbright; Pawel Skudlarski; R Todd Constable; Karen E Marchione; Jack M Fletcher; G Reid Lyon; John C Gore
Journal:  Biol Psychiatry       Date:  2002-07-15       Impact factor: 13.382

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  134 in total

1.  Cortical representations of symbols, objects, and faces are pruned back during early childhood.

Authors:  Jessica F Cantlon; Philippe Pinel; Stanislas Dehaene; Kevin A Pelphrey
Journal:  Cereb Cortex       Date:  2010-05-10       Impact factor: 5.357

2.  Sparsely-distributed organization of face and limb activations in human ventral temporal cortex.

Authors:  Kevin S Weiner; Kalanit Grill-Spector
Journal:  Neuroimage       Date:  2010-05-10       Impact factor: 6.556

3.  The mechanism of word crowding.

Authors:  Deyue Yu; Melanie M U Akau; Susana T L Chung
Journal:  Vision Res       Date:  2011-11-07       Impact factor: 1.886

4.  The left occipitotemporal cortex does not show preferential activity for words.

Authors:  Alecia C Vogel; Steven E Petersen; Bradley L Schlaggar
Journal:  Cereb Cortex       Date:  2012-01-10       Impact factor: 5.357

Review 5.  Visual prediction and perceptual expertise.

Authors:  Olivia S Cheung; Moshe Bar
Journal:  Int J Psychophysiol       Date:  2011-11-27       Impact factor: 2.997

6.  New method for fMRI investigations of language: defining ROIs functionally in individual subjects.

Authors:  Evelina Fedorenko; Po-Jang Hsieh; Alfonso Nieto-Castañón; Susan Whitfield-Gabrieli; Nancy Kanwisher
Journal:  J Neurophysiol       Date:  2010-04-21       Impact factor: 2.714

7.  What's the story? The tale of reading fluency told at speed.

Authors:  Christopher F A Benjamin; Nadine Gaab
Journal:  Hum Brain Mapp       Date:  2011-09-23       Impact factor: 5.038

8.  The similarity structure of distributed neural responses reveals the multiple representations of letters.

Authors:  David Rothlein; Brenda Rapp
Journal:  Neuroimage       Date:  2013-12-07       Impact factor: 6.556

9.  The roles of occipitotemporal cortex in reading, spelling, and naming.

Authors:  Rajani Sebastian; Yessenia Gomez; Richard Leigh; Cameron Davis; Melissa Newhart; Argye E Hillis
Journal:  Cogn Neuropsychol       Date:  2014-02-17       Impact factor: 2.468

10.  Local response heterogeneity indexes experience-based neural differentiation in reading.

Authors:  Jeremy J Purcell; Brenda Rapp
Journal:  Neuroimage       Date:  2018-08-01       Impact factor: 6.556

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