The DOI matches its Crossref record; 54 of the 55 references it cites were found in a registry or an index; none of the 91 sources its claims cite is checked for support yet.
The visual word form area: expertise for reading in the fusiform gyrus
Abstract
Brain imaging studies reliably localize a region of visual cortex that is especially responsive to visual words. This brain specialization is essential to rapid reading ability because it enhances perception of words by becoming specifically tuned to recurring properties of a writing system. The origin of this specialization poses a challenge for evolutionary accounts involving innate mechanisms for functional brain organization. We propose an alternative account, based on studies of other forms of visual expertise (i.e. bird and car experts) that lead to functional reorganization. We argue that the interplay between the unique demands of word reading and the structural constraints of the visual system lead to the emergence of the Visual Word Form Area.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
The paper reviews evidence that a left fusiform region, the Visual Word Form Area (VWFA), is reliably activated by visual words and shows abstract, prelexical tuning to orthographic structure. It proposes that this specialization arises through reading-driven perceptual expertise rather than an innate word-recognition module.
Key findings
- The VWFA localizes to the left occipitotemporal sulcus bordering the fusiform gyrus, with a group peak at approximately x = −43, y = −54, z = −12 mm; this peak is found in over 90% of individual subject scans, with a standard deviation of <5 mm.
- The region responds to visual words and pseudowords more than control stimuli, shows case/font/size and left–right visual-field invariance, is activated even without awareness, and is sensitive to orthographic regularity but generally not to lexical frequency or real-versus-pseudoword contrasts.
- The authors argue the VWFA is a case of perceptual expertise: writing is only ~5400 years old, too recent for dedicated evolutionary selection, and VWFA activity correlates with grapheme–phoneme decoding ability even when age is controlled.
- Neuropsychological evidence links pure alexia and left-visual-field word-reading deficits to damage or disconnection around the VWFA; adults with developmental dyslexia show reduced VWFA activation to words and pseudowords.
Methods
- Review and synthesis of prior neuroimaging studies (fMRI, PET, ERP, MEG, intracranial recordings), neuropsychological lesion evidence, developmental studies, and visual-expertise research; no new empirical data are presented.
- Localization claims draw on reviews of over 25 group experiments; developmental evidence includes children aged 7–18 years and behavioral/ERP studies in first-graders and older children.
- Main analysis is qualitative convergence across experimental contrasts and populations, leading to a proposed functional-anatomical model of visual word reading.
Limitations
- The paper does not include a formal limitations section. It states caveats: the term VWFA need not imply sole dedication to word recognition, object and face recognition can also activate this region, other regions can be modulated by visual word forms, and projections from the VWFA to lexical, semantic, and phonological systems are less clearly defined.
- Evident from the text: this is a review rather than a new experiment, some cited findings are “in press,” and the functional-anatomical model is described as tentative.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
54 Not checked yet · 24 Own interpretation
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The origin of this specialization poses a challenge for evolutionary accounts involving innate mechanisms for functional brain organization.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: unclear — It is unclear whether it could be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: unclear — It is unclear why the paper says it holds.
- Rests on an assumption: Writing was invented about 5400 years ago.
- Rests on an assumption: 5400 years is insufficient time for selective pressures to engineer a specialized module for visual word recognition.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We argue that the interplay between the unique demands of word reading and the structural constraints of the visual system lead to the emergence of the Visual Word Form Area.”
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Several lines of cognitive evidence indicate that the perceptual mechanisms that support word recognition rest on a critical process that groups the letters of a word together into an integrated perceptual unit (i.e. a 'visual word form').”
What the sources say
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Brain imaging studies reliably localize a region of visual cortex that is especially responsive to visual words.”
What the sources say
- Not checked yetcites [8] Cohen, 2002, Language-specific tuning of visual cortex? Functional properties of the visual word form area, Brain source
- Not checked yetcites [9] Cohen, 2000, The visual word form area: spatial and temporal characterization of an initial stage of reading in normal subjects and posterior split-brain patients, Brain source
- Not checked yetcites [10] Polk, 2002, Functional MRI evidence for an abstract, not perceptual, word-form area, J. Exp. Psychol. Gen. source
- Not checked yetcites [11] Dehaene, 2002, The visual word form area: a prelexical representation of visual words in the fusiform gyrus, Neuroreport source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Within less than 250 ms of viewing a written word, the visual system extracts the information needed to identify its linguistic significance, despite wide variations in print, script, font, size and retinal position.”
What the sources say
- Not checked yetcites [1] Rayner, 1989
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Literate adults possess a special form of visual expertise that allows their visual system to process words efficiently.”
What the sources say
- Not checked yetcites [1] Rayner, 1989
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This brain specialization is essential to rapid reading ability because it enhances perception of words by becoming specifically tuned to recurring properties of a writing system.”
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: unclear — It is unclear why the paper says it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“The response properties of the VWFA demonstrate a form of tuning to learned letter stimuli, which produce greater activity than well-controlled pseudoletters, that can be measured by blocks of PET data [19], as well by the first 200 ms of activity in MEG and intracranial electrical recordings [16].”
What the sources say
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Nevertheless, we argue that this region of the visual system must contain a population of neurons that, as an ensemble, is tuned to invariant stimulus properties and structural regularities characteristic of written words.”
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Consistent with the rapid time course of visual word recognition, event-related potentials (ERPs) recorded over left posterior visual regions within 150-200 ms demonstrate sensitivity to words relative to other stimuli that control for visual features [12,13].”
What the sources say
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- It may state two separate claims as one. 16
- Probably not a substantial claim. 6
In the paper
“Chronometric studies show that the speed of word recognition is remarkably uninfluenced by the number of letters present in a 3-6-letter word, indicating a form of parallel processing of the letters [2].”
What the sources say
- Not checked yetcites [2] Nazir, 1998, Letter legibility and visual word recognition, Mem. Cogn. source
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Finally, converging neuropsychological evidence indicates that selective damage to the left fusiform region impairs visual but not auditory word recognition (Box 1).”
What the sources say
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“This finding is robust enough to identify a significant peak of activation in over 90% of individual subject scans, with a standard deviation of , 5 mm [8-11] (Fig. 1).”
What the sources say
- Not checked yetcites [8] Cohen, 2002, Language-specific tuning of visual cortex? Functional properties of the visual word form area, Brain source
- Not checked yetcites [9] Cohen, 2000, The visual word form area: spatial and temporal characterization of an initial stage of reading in normal subjects and posterior split-brain patients, Brain source
- Not checked yetcites [10] Polk, 2002, Functional MRI evidence for an abstract, not perceptual, word-form area, J. Exp. Psychol. Gen. source
- Not checked yetcites [11] Dehaene, 2002, The visual word form area: a prelexical representation of visual words in the fusiform gyrus, Neuroreport source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“This process is highly sensitive to the abstract structural properties of the writing system, but largely insensitive to non-essential variations in visual features such as case and font [1].”
What the sources say
- Not checked yetcites [1] Rayner, 1989
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Finally, these perceptual operations adapt well to large variations in surface features of word stimuli, such as changes in size, case, and font, and demonstrate significant transfer of priming benefits across such variations [1].”
What the sources say
- Not checked yetcites [1] Rayner, 1989
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“IT neurons have vast receptive fields and respond selectively to certain objects or parts of objects across large changes in size, position and illumination [39,40].”
What the sources say
- Not checked yetcites [39] Tanaka, 2003, Columns for complex visual object features in inferotemporal cortex: clustering of cells with similar but slightly different stimulus selectivities, Cereb. Cortex source
- Not checked yetcites [40] Einhauser, 2002, Learning the invariance properties of complex cells from their responses to natural stimuli, Eur. J. Neurosci. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“For example, inferotemporal (IT) cortex is well known for its role in invariant object recognition.”
What the sources say
- Not checked yetcites [39] Tanaka, 2003, Columns for complex visual object features in inferotemporal cortex: clustering of cells with similar but slightly different stimulus selectivities, Cereb. Cortex source
- Not checked yetcites [40] Einhauser, 2002, Learning the invariance properties of complex cells from their responses to natural stimuli, Eur. J. Neurosci. source
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The hypothesis of a progressive specialization of the left VWFA over the course of reading acquisition avoids problems inherent to the notion of a ready-made 'word recognition module'.”
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds.
- Rests on an assumption: Writing was invented about 5400 years ago.
- Rests on an assumption: 5400 years is insufficient time for selective pressures to engineer a specialized module for visual word recognition.
In the paper
“Although enhanced abilities to perceive well-structured letter strings appear early in the reading process, such effects are restricted to high-frequency words and do not generalize to novel strings until 10-13 years of age [4] (although see [35]).”
What the sources say
- Not checked yetcites [4] Gibson, 1962, The role of grapheme–phoneme correspondence in the perception of words, Am. J. Psychol. source
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Sensitivity to increasingly larger visual units varies along a posterior-toanterior gradient, whereas sensitivity to increasingly eccentric sectors of the retina varies along a lateral-tomesialgradient.”
What the sources say
- Not checked yetcites [43] Malach, 2002, The topography of high-order human object areas, Trends Cogn. Sci. source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Much of the ventral processing stream is already well adapted to the invariant recognition of fine basic shapes in the fovea.”
boosted- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds.
In the paper
“Unlike adults, 6- to 7-year-old children (American first-graders) demonstrate robust word-length effects, which gradually diminish over the following years but are still detectable as late as grade 5 (11-12 years old) [34].”
What the sources say
- Not checked yetcites [34] Aghababian, 2000, Developing normal reading skills: aspects of the visual processes underlying word recognition, J. Exp. Child Psychol. source
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“In contrast to global alexia, PA patients are able to identify single letters, and develop letter-by-letter reading strategies resulting in reading latencies that increase by hundreds of milliseconds for each additional letter [49].”
What the sources say
- Not checked yetcites [49] Cohen, L. et al. (2003) Visual word recognition in the left and right hemispheres: anatomical and functional correlates of peripheral alexias. Cereb. Cortex (in press). source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Developmental studies of the N200 ERP responses to letter strings demonstrate a similar pattern, suggesting that 10-year-olds produce adult-like responses to highfrequency words but fail to generalize such responses to pseudowords [21].”
What the sources say
- Not checked yetcites [21] Posner, 1999, Brain circuitry during reading
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Such differences have not yet been associated with neuropathology in this region, but mayinstead reflect the absence of a specialization that accrues over the course of years of successful reading experience [55].”
What the sources say
- Not checked yetcites [55] McCandliss, B.D. and Noble, K. (2003) The development of reading impairment: a cognitive neuroscience model. Mental Retard. Dev. Disab. Res. Rev. (in press). source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This view on the origin of the VWFA implies that the specialization process should be protracted over a long period of experience and that the response properties of the VWFA should evolve in parallel with the rise of cognitive hallmarks of expertise.”
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Although the precise projections from VWFA to systems involved in lexical, semantic and phonological processes are currently less clearly defined, functional areas probably include the left angular gyrus [52], left inferior frontal cortex [53], and temporal regions anterior to the VWFA [54].”
What the sources say
- Not checked yetcites [52] Horwitz, 1998, Functional connectivity of the angular gyrus in normal reading and dyslexia, Proc. Natl. Acad. Sci. U. S. A. source
- Not checked yetcites [53] Bokde, 2001, Functional interactions of the inferior frontal cortex during the processing of words and word-like stimuli, Neuron source
- Not checked yetcites [54] Giraud, 2001, The constraints functional neuroanatomy places on classical models of auditory word processing, J. Cogn. Neurosci. source
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Separate pathways in left and right hemispheres are integrated in the left lateralized Visual Word Form Area (VWFA), which mediates between visually specific input, and moreabstract linguistic areas responsible for lexical, semantic and phonological processes.”
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: unclear — It is unclear why the paper says it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Finally, ventral visual regions receive top-down attentional influences associated with left and right parietal regions that are likely to affect all processing levels, and whose impairment might therefore lead to various forms of neglect dyslexia.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
The paper relies on this without support.
Writing was invented about 5400 years ago.
“given that the cultural invention of writing upon which this specialization is predicated did not exist until , 5400 years ago”
The paper relies on this without support.
5400 years is insufficient time for selective pressures to engineer a specialized module for visual word recognition.
“which is insufficient time for selective pressures to engineer a specialized 'module' for visual word recognition.”
The paper relies on this without support.
The VWFA is left lateralized in most subjects.
“Although the VWFA is left lateralized in most subjects”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“we used NeuroSynth to replicate previous findings of visual category-specific activation in regions such as the fusiform face area (FFA12) and visual word form area (VWFA13”
From Large-scale automated synthesis of human functional neuroimaging data. (2011) · cites this paper as [13]
In the citing paper
“Interestingly, the region of posterior temporal cortex more active for the letter than category fluency conditions overlaps with an area implicated by previous studies as being involved in the visual processing of word forms (i.e., the visual word form areas, VWFA; McCandliss et al., 2003), as well as with other word processing sites that appears to have a multimodal function; i.e., for combining”
From Neural systems supporting lexical search guided by letter and semantic category cues: a self-paced overt response fMRI study of verbal fluency (2010) · cites this paper as McCandliss et al., 2003
In the citing paper
“This cortex is partially plastic and can, during ontogenesis, become progressively attuned to the requirements of reading (McCandliss et al., 2003).”
From Specialization within the ventral stream: the case for the visual word form area (2004) · cites this paper as McCandliss et al., 2003
In the citing paper
“Finally, it should be remembered that it takes years for children to develop expert word recognition (Aghababian and Nazir, 2000), and that the emergence of this expertise correlates with the amount of activation of the VWFA by letter strings in normal and dyslexic children (McCandliss et al., 2003; Shaywitz et al., 2002; Temple, 2002).”
From Specialization within the ventral stream: the case for the visual word form area (2004) · cites this paper as McCandliss et al., 2003
In the citing paper
“The left-FFG was found to be involved in letter identification and reading (McCandliss et al., 2003; Dehaene and Cohen, 2011; McNorgan et al., 2013).”
From Functional neuroimaging of visuospatial working memory tasks enables accurate detection of attention deficit and hyperactivity disorder (2015) · cites this paper as McCandliss et al., 2003
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ The perceptual expertise account · p. 4
“Subjects were engaged in a semantic classification task on target words and were not unaware of the presence of primes.”
§ The perceptual expertise account · p. 4
“This suggests that this area holds a case-invariant neural code for visual words and that this code can be activated automatically without awareness.”
Citations
Cites
The distributed human neural system for face perception
Haxby, J. V., Hoffman, E. A., & Gobbini, M. I. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01482-0 · Cited by 4,891
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
Self-citationExpertise for cars and birds recruits brain areas involved in face recognition
Gauthier, I., Skudlarski, P., Gore, J. C., & Anderson, A. W. (2000) · Nature Neuroscience · doi:10.1038/72140 · Cited by 1,418 · cited 1×
“These processing benefits are linked to functional reorganizations in the response properties of a region of the right fusiform gyrus [ 32 ], which are also associated with changes in the response properties of ERPs recorded within the first 200 ms of processing stimuli [33].”
BackgroundCerebral 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
Self-citationLanguage‐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×
“pseudowords), produce more robust fMRI responses than novel but poorly structured letter strings [ 8 ].”
BackgroundMethodInfluentialSelf-citationPerceptual recognition as a function of meaningfulness of stimulus material
Reicher, G. M. (1969) · Journal of Experimental Psychology · doi:10.1037/h0027768 · Cited by 1,252
Dyslexia: 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
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
Functional disruption in the organization of the brain for reading in dyslexia
Shaywitz, S. E., Shaywitz, B. A., Pugh, K. R., Fulbright, R. K., Constable, R. T., Mencl, W. E., Shankweiler, D. P., Liberman, A. M., Skudlarski, P., Fletcher, J. M., et al. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.5.2636 · Cited by 872
Temple, E., Deutsch, G. K., Poldrack, R. A., Miller, S. L., Tallal, P., Merzenich, M. M., & Gabrieli, J. D. E. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0030098100 · Cited by 796
Research works printed but not linked: 1
- McCandliss, 2000, Habituating cognitive codes for individual words within the visual word form area: an event related fMRI study, J. Cogn. Neurosci. Suppl., 118
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Pyun, S., Sohn, H.-J., Jung, J.-B., & Nam, K. (2008) · Neurocase · doi:10.1080/13554790701881715 · Cited by 17
Huang, M., Baskin, D. S., & Fung, S. H. (2015) · World Neurosurgery · doi:10.1016/j.wneu.2015.12.071 · Cited by 17
In cerebro unveiling unconscious mechanisms during reading
Lévy, J. (2010) · Max Planck Digital Library · Cited by 17
Concepts and how they get that way
Overmann, K. A. (2019) · Phenomenology and the Cognitive Sciences · doi:10.1007/s11097-017-9545-8 · Cited by 16
Reading Braille by Touch Recruits Posterior Parietal Cortex
Liu, Y., Rapp, B. C., & Bedny, M. (2023) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02041 · Cited by 16
Hakvoort, B. E., van der Leij, A., van Setten, E. R. H., Maurits, N. M., Maassen, B., & van Zuijen, T. L. (2016) · Brain and Cognition · doi:10.1016/j.bandc.2016.09.004 · Cited by 16
Contralateral delay activity tracks the storage of visually presented letters and words
Rajsic, J., Burton, J. A., & Woodman, G. F. (2018) · Psychophysiology · doi:10.1111/psyp.13282 · Cited by 16
Margaretto, B. B., Beltrán, D., Юрьевич, Ш. Ю., Domı́nguez, A., & Cuetos, F. (2020) · Brain Sciences · doi:10.3390/brainsci10100717 · Cited by 16
Zhou, M., Zhuo, L., Ji, R., Gao, Y., Yao, H., Feng, R., Zhang, L., Huang, G., & Huang, X. (2021) · Brain Imaging and Behavior · doi:10.1007/s11682-021-00505-9 · Cited by 16
Cattaneo, L. (2013) · Handbook of clinical neurology · doi:10.1016/b978-0-444-53497-2.00054-1 · Cited by 16
fMRI of Language Systems: Methods and Applications
Binder, J. R. (2011) · Springer eBooks · doi:10.1007/978-1-4419-0345-7_23 · Cited by 17
Resting state neural networks for visual Chinese word processing in Chinese adults and children
Li, L., Liu, J., Chen, F., Lu, F., Li, H., Tian, J., & Lee, K. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.05.011 · Cited by 16
Yoncheva, Y. N., Maurer, U., Zevin, J. D., & McCandliss, B. D. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.04.006 · Cited by 17
Self-citationBilingual experience modulates hemispheric lateralization in visual word processing
Lam, S.-M., & Hsiao, J. H. (2013) · Bilingualism Language and Cognition · doi:10.1017/s1366728913000734 · Cited by 16
Ueki, Y., Mima, T., Nakamura, K., Oga, T., Shibasaki, H., Nagamine, T., & Fukuyama, H. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.0846-06.2006 · Cited by 16
Visual processing of words in a patient with visual form agnosia: A behavioural and fMRI study
Cavina‐Pratesi, C., Large, M., & Milner, A. D. (2014) · Cortex · doi:10.1016/j.cortex.2014.09.017 · Cited by 16
Audio-Visual Perception of Everyday Natural Objects – Hemodynamic Studies in Humans
Lewis, J. W. (2010) · Springer eBooks · doi:10.1007/978-1-4419-5615-6_10 · Cited by 16
Letter-specific processing in children and adults matched for reading level
Burgund, E. D., & Abernathy, A. E. (2008) · Acta Psychologica · doi:10.1016/j.actpsy.2008.04.007 · Cited by 16
Wang, K., Leopold, D. R., Banich, M. T., Reineberg, A. E., Willcutt, E. G., Cutting, L. E., Tufo, S. N. D., Thompson, L. A., Opfer, J. E., Kanayet, F. J., et al. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100647 · Cited by 16
A general role for ventral white matter pathways in morphological processing: Going beyond reading
Yablonski, M., Menashe, B. A., & Ben‐Shachar, M. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117577 · Cited by 16
Okumura, Y., Kasai, T., & Murohashi, H. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.01.026 · Cited by 16
Prieto, I. S., n, J. M. O., Fernández-Ruanova, B., García-Zapirain, B., Basterra, A., & Sanz‐Arigita, E. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00936 · Cited by 16
The face behind the mask: a developmental study
Tottenham, N., Leon, A. C., & Casey, B. J. (2006) · Developmental Science · doi:10.1111/j.1467-7687.2006.00491.x · Cited by 16
Disentangling developmental prosopagnosia: A scoping review of terms, tools and topics
Nørkær, E., Gobbo, S., Roald, T., & Starrfelt, R. (2024) · Cortex · doi:10.1016/j.cortex.2024.04.011 · Cited by 15
Can Adults Become Fluent Readers in Newly Learned Scripts?
Abadzi, H. (2012) · Education Research International · doi:10.1155/2012/710785 · Cited by 15
Lexical inhibition of neighbors during visual word recognition: An unmasked priming investigation
Massol, S., Molinaro, N., & Carreiras, M. (2015) · Brain Research · doi:10.1016/j.brainres.2015.01.051 · Cited by 15
Systems Neuroscience of Mathematical Cognition and Learning
Iuculano, T., Padmanabhan, A., & Menon, V. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811529-9.00015-7 · Cited by 15
Kim, N. W., Choi, U.-S., Ha, S., Lee, S. B., Song, S. H., Song, D., & Cheon, K.-A. A. (2018) · Yonsei Medical Journal · doi:10.3349/ymj.2018.59.7.897 · Cited by 15
Conant, L. L., Liebenthal, E., Desai, A., Seidenberg, M. S., & Binder, J. R. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107543 · Cited by 15
CNNs reveal the computational implausibility of the expertise hypothesis
Kanwisher, N., Gupta, P., & Dobs, K. (2023) · iScience · doi:10.1016/j.isci.2023.105976 · Cited by 16
Coubard, O. A., Urbanski, M., Bourlon, C., & Gaumet, M. (2014) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2014.00089 · Cited by 19
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Osipowicz, K. Z., Rickards, T. A., Shah, A., Sharan, A. D., Sperling, M. R., Kahn, W., & Tracy, J. I. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.049 · Cited by 17
Simos, P. G., Rezaie, R., Fletcher, J. M., & Papanicolaou, A. C. (2012) · Brain and Language · doi:10.1016/j.bandl.2012.07.003 · Cited by 15
The relationship of global form and motion detection to reading fluency.
Englund, J. A., & Palomares, M. (2012) · Vision Research · doi:10.1016/j.visres.2012.06.020 · Cited by 17
Jacobs, A. M., Nuerk, H., Graf, R., Braun, M., & Nazir, T. A. (2008) · Psychological Research · doi:10.1007/s00426-008-0168-0 · Cited by 15
Word and object recognition during reading acquisition: MEG evidence
Caffarra, S., Martin, C. D., Lizarazu, M., Lallier, M., Zarraga, A., Molinaro, N., & Carreiras, M. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.01.002 · Cited by 18
Fabry, R. E., & Pantsar, M. (2019) · Synthese · doi:10.1007/s11229-019-02276-9 · Cited by 15
King, J.-R., Charton, F., López-Paz, D., & Oquab, M. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117028 · Cited by 15
Shannon, K. A., Scerif, G., & Raver, C. C. (2020) · Developmental Science · doi:10.1111/desc.13025 · Cited by 16
Lese- und Rechtschreibstörung im Schulalter
Schulte‐Körne, G. (2010) · Zeitschrift für Psychiatrie Psychologie und Psychotherapie · doi:10.1024/1661-4747/a000051 · Cited by 15
Inversion effect in the visual processing of Chinese character: An fMRI study
Zhao, J., Liu, J., Li, J., Liang, J., Feng, L., Ai, L., & Tian, J. (2010) · Neuroscience Letters · doi:10.1016/j.neulet.2010.04.075 · Cited by 15
Burgess, A. N., & Cutting, L. E. (2023) · Mind Brain and Education · doi:10.1111/mbe.12378 · Cited by 14
Vogel, A. C., Petersen, S. E., & Schlaggar, B. L. (2012) · Human Brain Mapping · doi:10.1002/hbm.22077 · Cited by 14
Neural specialization for print in Chinese-English language learners
Tong, X., Maurer, U., Chung, K. K. H., & McBride, C. A. (2015) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2015.10.001 · Cited by 14
The impact of inverted text on visual word processing: An fMRI study
Sussman, B. L., Reddigari, S., & Newman, S. D. (2018) · Brain and Cognition · doi:10.1016/j.bandc.2018.02.004 · Cited by 15
Peven, J. C., Litz, G. A., Brown, B. M., XiaoFeng, X., Grove, G., Watt, J. C., & Erickson, K. I. (2019) · Brain Plasticity · doi:10.3233/bpl-190085 · Cited by 14
Marsh, E. B., Brodbeck, C. J., Llinas, R. H., Mallick, D., Kulasingham, J. P., Simon, J. Z., & Llinás, R. R. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2013231117 · Cited by 14
Wang, J., Joanisse, M. F., & Booth, J. R. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100898 · Cited by 14
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Hillis, A. E. (2008) · Handbook of clinical neurology · doi:10.1016/s0072-9752(07)88015-8 · Cited by 14
Mochizuki‐Kawai, H., Tsukiura, T., Mochizuki, S., & Kawamura, M. (2006) · Brain Research · doi:10.1016/j.brainres.2006.09.026 · Cited by 14
Dickson, D. S., & Federmeier, K. D. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.09.037 · Cited by 14
Schweinberger, S. R., Ramsay, A. L., & Kaufmann, J. M. (2006) · Brain Research · doi:10.1016/j.brainres.2006.08.070 · Cited by 14
Mayseless, N., & Breznitz, Z. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.06.029 · Cited by 14
Semantic relatedness and first-second language effects in the bilingual brain: a brain mapping study
Khateb, A., Pegna, A. J., Michel, C. M., Mouthon, M., & Annoni, J. (2015) · Bilingualism Language and Cognition · doi:10.1017/s1366728915000140 · Cited by 14
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Niazi, A. M., van den Broek, P. L. C., Klanke, S., Barth, M., Poel, M., Desain, P., & van Gerven, M. A. J. (2013) · European Journal of Neuroscience · doi:10.1111/ejn.12405 · Cited by 15
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Macedonia, M. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01800 · Cited by 14
Brain correlates of phonological recoding of visual symbols
Madec, S., Goff, K. L., Anton, J., Longcamp, M., Velay, J., Nazarian, B., Roth, M., Courrieu, P., Jonathan Grainger, B., & Rey, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.010 · Cited by 14
Varga, V., Tóth, D., & Csépe, V. (2018) · Child Development · doi:10.1111/cdev.13159 · Cited by 14
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Cushman, C. L., & Johnson, R. L. (2011) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2011.556255 · Cited by 14
Hsiao, J. H. (2011) · Brain and Language · doi:10.1016/j.bandl.2011.04.003 · Cited by 14
Okumura, Y., Kasai, T., & Murohashi, H. (2013) · Neuroreport · doi:10.1097/wnr.0000000000000110 · Cited by 14
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Qian, P., Qiu, X., & Huang, X. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1604.06635 · Cited by 17
Mascheretti, S., Peruzzo, D., Andreola, C., Villa, M., Ciceri, T., Trezzi, V., Marino, C., & Arrigoni, F. (2021) · Brain Sciences · doi:10.3390/brainsci11060722 · Cited by 13
Zhang, K., Gu, F., & Yu, H. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1061990 · Cited by 13
Lutz, C. G., Coraj, S., González, G. F., & Brem, S. (2024) · Cortex · doi:10.1016/j.cortex.2023.12.010 · Cited by 13
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Molloy, M. F., Saygin, Z. M., & Osher, D. E. (2024) · Scientific Reports · doi:10.1038/s41598-024-62098-9 · Cited by 13
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Purcell, J. J., & Rapp, B. C. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.063 · Cited by 13
Quintana, R. (2020) · Sociological Methods & Research · doi:10.1177/0049124120926208 · Cited by 13
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Hirshorn, E. A., & Harris, L. N. (2022) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14768 · Cited by 13
Weiss, B., Nárai, Á., & Vidnyánszky, Z. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119383 · Cited by 12
Pietro, S. V. D., Karipidis, I. I., Pleisch, G., & Brem, S. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101255 · Cited by 13
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Das, T., Bapi, R. S., Padakannaya, P., & Singh, N. C. (2010) · Reading and Writing · doi:10.1007/s11145-010-9241-3 · Cited by 13
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Mitra, P., & Coch, D. (2009) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.9.2.216 · Cited by 13
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Takashima, A., Wagensveld, B., van Turennout, M., Zwitserlood, P., Peter Hagoort, A., & Verhoeven, L. T. W. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.06.017 · Cited by 14
Wallentin, M., Michaelsen, J. L. D., Rynne, I., & Nielsen, R. H. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.012 · Cited by 13
van Setten, E. R. H., Martínez‐Ferreiro, S., Maurits, N. M., & Maassen, B. (2015) · Dyslexia · doi:10.1002/dys.1519 · Cited by 13
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Perfetti, C. A., Nelson, J. R., Liu, Y., Fiez, J. A., & Tan, L. (2010) · Cited by 13
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Bogdanov, P., Dereli, N., Dang, X. H., Bassett, D. S., Wymbs, N. F., Grafton, S. T., & Singh, A. K. (2017) · PLoS ONE · doi:10.1371/journal.pone.0184344 · Cited by 13
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Haridas, M., Vasudevan, N., Nair, G. J., Gutjahr, G., Raghu Raman, R., & Nedungadi, P. (2018) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2018.00085 · Cited by 13
Hassel, S., Sharma, G. B., Alders, G. L., Davis, A. D., Arnott, S. R., Frey, B. N., Hall, G. B., Harris, J. K., Lam, R. W. M., Milev, R. V., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24883 · Cited by 14
Greenwood, P. B., Hutton, J., Dudley, J. A., & Horowitz‐Kraus, T. (2018) · Brain and Cognition · doi:10.1016/j.bandc.2018.11.010 · Cited by 13
Word and pseudoword superiority effects in Italian–English bilinguals
Grossi, G., Murphy, J. W., & Boggan, J. (2008) · Bilingualism Language and Cognition · doi:10.1017/s1366728908003891 · Cited by 13
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Parkes, L., Perry, C., & Goodin, P. (2016) · Psychophysiology · doi:10.1111/psyp.12601 · Cited by 13
Lagarrigue, A., Longcamp, M., Anton, J. L., Nazarian, B., Prévot, L., Velay, J., Cao, F., & Frenck-Mestre, C. A. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.01.026 · Cited by 13
Development of Mathematical Reasoning
Iuculano, T., & Menon, V. (2018) · Wiley eBooks · doi:10.1002/9781119170174.epcn406 · Cited by 13
Froud, K., Levinson, L., Maddox, C., & Smith, P. (2024) · PLoS ONE · doi:10.1371/journal.pone.0290807 · Cited by 12
Chinese character recognition in mirror reading: Evidence from event‐related potential
Zhang, Y., Qiu, J., Huang, H., Zhang, Q., & Bao, B. (2008) · International Journal of Psychology · doi:10.1080/00207590802500190 · Cited by 12
Neurobiology and neurogenetics of dyslexia
Benítez‐Burraco, A. (2010) · Neurología (English Edition) · doi:10.1016/s2173-5808(20)70105-7 · Cited by 15
Multi-voxel pattern analysis of noun and verb differences in ventral temporal cortex
Boylan, C., Trueswell, J. C., & Thompson‐Schill, S. L. (2014) · Brain and Language · doi:10.1016/j.bandl.2014.07.009 · Cited by 12
Li, S. T. K., & Hsiao, J. H. (2018) · Cognition · doi:10.1016/j.cognition.2018.03.010 · Cited by 12
Rollans, C., & Cummine, J. (2018) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2017.12.009 · Cited by 12
The effect of non-invasive vagus nerve stimulation on memory recall in reading: A pilot study
Thakkar, V. J., Richardson, Z. A., Dang, A., & Centanni, T. M. (2022) · Behavioural Brain Research · doi:10.1016/j.bbr.2022.114164 · Cited by 14
Yovel, G., Grosbard, I. D., & Abudarham, N. (2023) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2023.0093 · Cited by 14
Developing Cross-Language Metrics for Reading Fluency Measurement
Abadzi, H. (2012) · World Bank, Washington, DC eBooks · doi:10.1596/26819 · Cited by 12
Siéroff, É., & Haehnel, N. B. (2014) · Laterality Asymmetries of Body Brain and Cognition · doi:10.1080/1357650x.2014.988220 · Cited by 12
Expanding horizons in ergonomics research
Posner, M. I. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.060 · Cited by 13
Functional Communication Within a Perceptual Network Processing Letters and Pseudoletters
Herdman, A. T. (2011) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0b013e318230da5f · Cited by 12
High-level Integrative Networks: A Resting-state fMRI Investigation of Reading and Spelling
Ellenblum, G., Purcell, J. J., Song, X., & Rapp, B. C. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01405 · Cited by 12
Implicit and explicit identification of counterfeit brand logos based on logotype transposition
Pathak, A., Velasco, C., & Calvert, G. A. (2019) · Journal of Product & Brand Management · doi:10.1108/jpbm-06-2018-1921 · Cited by 12
Metadata
- Authors
- McCandliss, B. D., Cohen, L., & Dehaene, S.
- Affiliations
- Cornell University (US)
- Inserm (FR)
- Corresponding author
- McCandliss, Bruce D.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2003-07
- Volume
- 7
- Issue
- 7
- Pages
- 293-299
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2143709903
- Semantic Scholar
- efc50447601a00424b368385d84c969f5e00395f
- Cited by
- 1,489
- References
- 55
- Citations by year
- 2026: 41 · 2025: 43 · 2024: 63 · 2023: 56 · 2022: 52 · 2021: 69 · 2020: 84 · 2019: 84 · 2018: 65 · 2017: 61 · 2016: 71 · 2015: 79 · 2014: 85 · 2013: 66 · 2012: 78
- FWCI
- 8.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Trends in Cognitive Sciences (publishedVersion)
- PubMed (publishedVersion)
- 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
- visual word form area, fusiform gyrus, reading, visual word recognition, visual expertise, functional reorganization, brain specialization, writing systems, visual cortex
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