Sensitivity to orthographic familiarity in the occipito-temporal region.
Open accessAbstract
The involvement of the left hemisphere occipito-temporal (OT) junction in reading has been established, yet there is current controversy over the region's specificity for reading and the nature of its role in the reading process. Recent neuroimaging findings suggest that the region is sensitive to orthographic familiarity [Kronbichler, M., Bergmann, J., Hutzler, F., Staffen, W., Mair, A., Ladurner, G., Wimmer, H. 2007. Taxi vs. Taksi: on orthographic word recognition in the left ventral occipito-temporal cortex. Journal of Cognitive Neuroscience 19, 1-11], and the present study tested that hypothesis. Using fMRI, the OT region and other regions in the reading network were localized in 28 adult, right-handed participants. The BOLD signal in these regions was measured during a phonological judgment task (i.e., "Does it sound like a word?"). Stimuli included words, pseudohomophones (phonologically familiar yet orthographically unfamiliar), and pseudowords (phonologically and orthographically unfamiliar) that were matched on lexical properties including sublexical orthography. Relative to baseline, BOLD signal in the OT region was greater for pseudohomophones than for words, suggesting that the region is sensitive to orthographic familiarity at the whole-word level. Further contrasts of orthographic frequency within the word condition revealed increased BOLD signal for low- than high-frequency words. Specialization in the OT region for recognition of frequent letter strings may support the development of reading expertise. Additionally, BOLD signal in the OT region correlates positively with reading efficiency, supporting the idea that this region is a skill zone for reading printed words. BOLD signal in the IFG and STG correlates negatively with reading efficiency, indicating that processing effort in these classic phonological regions is inversely related to reading efficiency.
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Among the measures tested, only SWE change is significantly correlated with LOTS sensitivity change.
“Change in SWE is the only measure that significantly correlates with change in LOTS sensitivity (Figure 3A; see Bruno, Zumberge, Manis, Lu, & Goldman, 2008, for a related finding in adults).”
From The Development of Cortical Sensitivity to Visual Word Forms (2011) · cites this paper as Bruno et al., 2008
Bruno et al. (2008) found a comparable adult correlation between LOTS word-frequency sensitivity and SWE.
“This aspect of our findings complements a recent fMRI study (Bruno et al., 2008), which demonstrates a similar correlation between LOTS sensitivity to word frequency and SWE in adults.”
From The Development of Cortical Sensitivity to Visual Word Forms (2011) · cites this paper as Bruno et al., 2008
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Cites
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900 · see citing works
Brainard, D. H. (1997) · Spatial Vision · doi:10.1163/156856897x00357 · Cited by 19,308 · see citing works
Co-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565 · see citing works
Cohen, L., Dehaene, S., Naccache, L., Lehéricy, S., Dehaene-Lambertz, G., Hénaff, M.-A., & Michel, F. (2000) · Brain · doi:10.1093/brain/123.2.291 · Cited by 1,954 · see citing works
Meta-analyzing left hemisphere language areas: phonology, semantics, and sentence processing.
Vigneau, M., Beaucousin, V., Hervé, P. Y., Duffau, H., Crivello, F., Houdé, O., Mazoyer, B., & Tzourio-Mazoyer, N. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.11.002 · Cited by 1,851 · see citing works
Poldrack, R. A., Wagner, A. D., Prull, M. W., Desmond, J. E., Glover, G. H., & Gabrieli, J. D. E. (1999) · NeuroImage · doi:10.1006/nimg.1999.0441 · Cited by 1,448 · see citing works
The American Heritage Word Frequency Book
Warren, R. E., Carroll, J. B., Davies, P. S., & Richman, B. (1973) · The American Journal of Psychology · doi:10.2307/1421864 · Cited by 1,379 · see citing works
The anatomy of language: contributions from functional neuroimaging
Price, C. J. (2000) · Journal of Anatomy · doi:10.1046/j.1469-7580.2000.19730335.x · Cited by 1,334 · see citing works
Cerebral mechanisms of word masking and unconscious repetition priming
Dehaene, S., Naccache, L., Cohen, L., Bihan, D. L., Mangin, J.-F., Poline, J.-B., & Rivière, D. (2001) · Nature Neuroscience · doi:10.1038/89551 · Cited by 1,305 · see citing works
Language‐specific tuning of visual cortex? Functional properties of the Visual Word Form Area
Cohen, L., Lehéricy, S., Chochon, F., Lemer, C., Rivaud, S., & Dehaene, S. (2002) · Brain · doi:10.1093/brain/awf094 · Cited by 1,254 · cited 4× · see citing works
“…primarily to familiarity at the letter-string level and serves primarily as a preprocessor for access to the phonological and semantic lexicon (Cohen et al., 2000, 2002; Dehaene et al., 2001, 2002; Jobard et al., 2003; Mechelli et al., 2003), PH and words should elicit equal activation, and…”
InfluentialDyslexia: Cultural Diversity and Biological Unity
Paulesu, E., Démonet, J.-F., Fazio, F., McCrory, E., Chanoine, V., Brunswick, N., Cappa, S. F., Cossu, G., Habib, M., Frith, C. D., et al. (2001) · Science · doi:10.1126/science.1057179 · Cited by 1,173 · see citing works
Lexical access and naming time
Forster, K. I., & Chambers, S. M. (1973) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(73)80042-8 · Cited by 1,132 · see citing works
Disruption of posterior brain systems for reading in children with developmental dyslexia
Shaywitz, B. A., Shaywitz, S. E., Pugh, K. R., Mencl, W. E., Fulbright, R. K., Skudlarski, P., Constable, R. T., Marchione, K. E., Fletcher, J. M., Lyon, G. R., et al. (2002) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01365-3 · Cited by 993 · see citing works
Evaluation of the dual route theory of reading: a metanalysis of 35 neuroimaging studies
Jobard, G., Crivello, F., & Tzourio-Mazoyer, N. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00343-4 · Cited by 973 · see citing works
Specialization within the ventral stream: the case for the visual word form area
Cohen, L., & Dehaene, S. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.12.049 · Cited by 776 · see citing works
The visual word form area: a prelexical representation of visual words in the fusiform gyrus
Dehaene, S., Le Clec’H, G., Poline, J.-B., Le Bihan, D., & Cohen, L. (2002) · Neuroreport · doi:10.1097/00001756-200203040-00015 · Cited by 727 · see citing works
Neuroimaging studies of word reading
Fiez, J. A., & Petersen, S. E. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.3.914 · Cited by 727 · see citing works
Development of neural mechanisms for reading.
Turkeltaub, P. E., Gareau, L., Flowers, D. L., Zeffiro, T. A., & Eden, G. F. (2003) · Nature Neuroscience · doi:10.1038/nn1065 · Cited by 707 · see citing works
The myth of the visual word form area
Price, C. J., & Devlin, J. T. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00084-3 · Cited by 689 · see citing works
Large-Scale Neuronal Theories of the Brain
Koch, C., Davis, J. L., Book, A., Churchland, P., Ramachandran, V., & Sejnowski, T. (1994) · Computers & Mathematics with Applications · doi:10.1016/0898-1221(95)90097-7 · Cited by 656 · see citing works
Large-scale neuronal theories of the brain
(1995) · Choice Reviews Online · doi:10.5860/choice.32-4182 · Cited by 624 · see citing works
Shaywitz, B. A., Shaywitz, S. E., Blachman, B. A., Pugh, K. R., Fulbright, R. K., Skudlarski, P., Mencl, W. E., Constable, R. T., Holahan, J. M., Marchione, K. E., et al. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2003.12.019 · Cited by 613 · see citing works
Divide and conquer: A defense of functional localizers
Saxe, R., Brett, M., & Kanwisher, N. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.12.062 · Cited by 544 · see citing works
Raphaël Gaillard, B., Naccache, L., Pinel, P., Clémenceau, S., Emmanuelle Volle, C., Hasboun, D., Dupont, S., Baulac, M., Dehaene, S., Adam, C., et al. (2006) · Neuron · doi:10.1016/j.neuron.2006.03.031 · Cited by 440 · see citing works
Functional and morphometric brain dissociation between dyslexia and reading ability
Hoeft, F., Meyler, A., Hernandez, A., Juel, C. L., Taylor-Hill, H., Martindale, J. L., McMillon, G., Kolchugina, G., Black, J. M., Faizi, A., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0609399104 · Cited by 430 · see citing works
Word frequency and neighborhood frequency effects in lexical decision and naming
Jonathan Grainger, B. (1990) · Journal of Memory and Language · doi:10.1016/0749-596x(90)90074-a · Cited by 401 · see citing works
McDermott, K. B., Petersen, S. E., Watson, J. M., & Ojemann, J. G. (2003) · Neuropsychologia · doi:10.1016/s0028-3932(02)00162-8 · Cited by 393 · see citing works
Fiez, J. A., Balota, D. A., Raichle, M. E., & Petersen, S. E. (1999) · Neuron · doi:10.1016/s0896-6273(00)80833-8 · Cited by 390 · see citing works
Letter Binding and Invariant Recognition of Masked Words: Behavioral and Neuroimaging Evidence
Dehaene, S., Jobert, A., Naccache, L., Ciuciu, P., Poline, J.-B., Le Bihan, D., & Cohen, L. (2004) · Psychological Science · doi:10.1111/j.0956-7976.2004.00674.x · Cited by 356 · see citing works
Contribution a l'etude anatomo-pathologique et clinique des differentes varietes de cecite verbale
Dejerine, J. (2000) · Neurocase · doi:10.1093/neucas/6.4.275 · Cited by 341 · see citing works
Pugh, K. R., Mencl, W. E., Shaywitz, B. A., Shaywitz, S. E., Fulbright, R. K., Constable, R. T., Skudlarski, P., Marchione, K. E., Jenner, A. R., Fletcher, J. M., et al. (2000) · Psychological Science · doi:10.1111/1467-9280.00214 · Cited by 339 · see citing works
Kronbichler, M., Hutzler, F., Wimmer, H., Mair, A., Staffen, W., & Ladurner, G. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.10.021 · Cited by 329 · see citing works
Neuroimaging studies of word and pseudoword reading: consistencies, inconsistencies, and limitations
Mechelli, A., Gorno-Tempini, M. L., & Price, C. J. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903321208196 · Cited by 315 · see citing works
The Role of the Posterior Fusiform Gyrus in Reading
Devlin, J. T., Jamison, H. L., Gonnerman, L. M., & Matthews, P. M. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.6.911 · Cited by 298 · see citing works
Tuning of the human left fusiform gyrus to sublexical orthographic structure
Binder, J. R., Medler, D. A., Westbury, C. F., Liebenthal, E., & Buchanan, L. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.06.053 · Cited by 286 · cited 6× · see citing works
“The findings of Binder et al. (2006) that the OT region responded to manipulations of orthographic familiarity at the sub-word level necessitated holding bigram frequency constant across conditions. Given that we controlled for bigram frequency, we are able to conclude that OT is sensitive to whole-word orthographic f…”
InfluentialWord familiarity and frequency in visual and auditory word recognition.
Connine, C. M., Mullennix, J. W., Shernoff, E., & Yelen, J. (1990) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037//0278-7393.16.6.1084 · Cited by 260 · see citing works
Contribution à l’étude anatomopathologique et clinique des différents variétés de cécité verbale
Dejerine, J. (1892) · Max Planck Digital Library · Cited by 255 · see citing works
Characterizing the neural mechanisms of skill learning and repetition priming
Poldrack, R. A., & Gabrieli, J. D. E. (2001) · Brain · doi:10.1093/brain/124.1.67 · Cited by 244 · see citing works
Cortical systems for retrieval of concrete knowledge: The convergence zone framework
Damásio, A. R., & Damasio, H. (1994) · Cited by 229 · see citing works
The Neurobiological Basis of Skilled and Impaired Reading: Recent Findings and New Directions
Sandak, R., Mencl, W. E., Frost, S. J., & Pugh, K. R. (2004) · Scientific Studies of Reading · doi:10.1207/s1532799xssr0803_6 · Cited by 212 · see citing works
Taxi vs. Taksi: On Orthographic Word Recognition in the Left Ventral Occipitotemporal Cortex
Kronbichler, M., Bergmann, J., Hutzler, F., Staffen, W., Mair, A., Ladurner, G., & Wimmer, H. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.10.1584 · Cited by 200 · see citing works
Rossion, B., Schiltz, C., & Crommelinck, M. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00105-8 · Cited by 193 · see citing works
Word familiarity and frequency in visual and auditory word recognition.
Connine, C. M., Mullennix, J. W., Shernoff, E., et al. (1990) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.16.6.1084 · Cited by 181 · see citing works
Age‐related changes in reading systems of dyslexic children
Shaywitz, B. A., Skudlarski, P., Holahan, J. M., Marchione, K. E., Constable, R. T., Fulbright, R. K., Zelterman, D. A., Lacadie, C., & Shaywitz, S. E. (2007) · Annals of Neurology · doi:10.1002/ana.21093 · Cited by 168 · see citing works
Fiebach, C. J., Gruber, T., & Supp, G. G. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.4107-04.2005 · Cited by 155 · see citing works
The roles of the “visual word form area” in reading
Hillis, A. E., Newhart, M., Heidler, J., Barker, P. B., Herskovits, E. H., & Degaonkar, M. N. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.08.026 · Cited by 149 · see citing works
The neurobiology of adaptive learning in reading: A contrast of different training conditions
Sandak, R., Mencl, W. E., Frost, S. J., Rueckl, J. G., Katz, L. D., Moore, D., Mason, S. A., Fulbright, R. K., Constable, R. T., & Pugh, K. R. (2004) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.4.1.67 · Cited by 135 · see citing works
Differential Sensitivity to Words and Shapes in Ventral Occipito-Temporal Cortex
Ben‐Shachar, M., Dougherty, R. F., Deutsch, G. K., & Wandell, B. A. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhl071 · Cited by 132 · see citing works
The Visual What For Area: Words and pictures in the left fusiform gyrus
Starrfelt, R., & Gerlach, C. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.12.003 · Cited by 122 · see citing works
Pugh, K. R., Shaywitz, B. A., Shaywitz, S. E., Shankweiler, D., Katz, L., Fletcher, J. M., Skudlarski, P., Fulbright, R. K., Constable, R. T., Bronen, R. A., et al. (1997) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.23.2.299 · Cited by 114 · see citing works
Chambers, R. A., & Conroy, S. K. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.1.1 · Cited by 103 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Torgesen JK, Wagner RK, Rashotte CA. Test of Word Reading Efficiency Austin. Pro-Ed; TX: 1999. [Google Scholar]
- Woodcock RW, McGrew KS, Mather N. Woodcock-Johnson III. Riverside Publishing; Itasca, IL: 2001. [Google Scholar]
Cited by
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Brem, S., Bach, S., Kucian, K., Kujala, J. V., Guttorm, T. K., Martin, E., Lyytinen, H., Brandeis, D., & Richardson, U. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904402107 · Cited by 456 · see citing works
Pavuluri, M. N., Yang, S., Kamineni, K., Passarotti, A. M., Srinivasan, G., Harral, E. M., Sweeney, J. A., & Zhou, X. J. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.10.015 · Cited by 246 · see citing works
Current Controversies on Wernicke’s Area and its Role in Language
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van der Mark, S., Bucher, K., Maurer, U., Schulz, E., Brem, S., Buckelmüller, J., Kronbichler, M., Loenneker, T., Klaver, P., Martin, E., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.021 · Cited by 232 · see citing works
The Development of Cortical Sensitivity to Visual Word Forms
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Levy, J., Pernet, C., Treserras, S., Boulanouar, K., Aubry, F., Démonet, J.-F., & Celsis, P. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006675 · Cited by 107 · see citing works
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- Authors
- Bruno, J. L., Zumberge, A., Manis, F. R., Lu, Z.-L., & Goldman, J. G.
- Affiliations
- University of Southern California (US)
- Corresponding author
- Bruno, Jennifer Lynn
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2008-02
- Volume
- 39
- Issue
- 4
- Pages
- 1988-2001
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC2267437
- OpenAlex
- W2168873858
- Cited by
- 114
- References
- 51
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 2 · 2023: 4 · 2022: 6 · 2021: 5 · 2020: 5 · 2019: 5 · 2018: 6 · 2017: 4 · 2016: 4 · 2015: 11 · 2014: 5 · 2013: 8 · 2012: 16
- FWCI
- 10.58
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute of Child Health and Human Development
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD029891, HD 29891)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- reading, pseudohomophones, pseudowords, word frequency, reading efficiency, reading expertise, phonological processing, inferior frontal gyrus, superior temporal gyrus, whole-word recognition, reading network
- MeSH terms
- Adolescent, Adult, Cognition, Data Interpretation, Statistical, Decision Making, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Nerve Net, Occipital Lobe, Oxygen, Psycholinguistics, Psychomotor Performance, Reaction Time, Reading, Temporal Lobe, Cluster Analysis, Recognition, Psychology
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