Cited by 114Reading and Literacy DevelopmentNeurobiology of Language and BilingualismVisual perception and processing mechanisms

Sensitivity to orthographic familiarity in the occipito-temporal region.

Open access
Bruno, Jennifer Lynn, Zumberge, Allison, Manis, Franklin R., Lu, Zhong-Lin, Goldman, Jason G.·2008·NeuroImage

Abstract

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2007.10.044

Cites

51 of 51 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • 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

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. Torgesen JK, Wagner RK, Rashotte CA. Test of Word Reading Efficiency Austin. Pro-Ed; TX: 1999. [Google Scholar]
  2. Woodcock RW, McGrew KS, Mather N. Woodcock-Johnson III. Riverside Publishing; Itasca, IL: 2001. [Google Scholar]

Cited by

Sorted by citations

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)
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
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review