Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Feb:41:1-10.
doi: 10.1016/j.jneuroling.2016.06.007. Epub 2016 Sep 9.

Interactions in the neighborhood: Effects of orthographic and phonological neighbors on N400 amplitude

Affiliations

Interactions in the neighborhood: Effects of orthographic and phonological neighbors on N400 amplitude

Haydee Carrasco-Ortiz et al. J Neurolinguistics. 2017 Feb.

Abstract

The present study investigated effects of phonological and orthographic neighborhood density on event-related potentials, with an aim to better specify the factors that determine N400 amplitude in single word reading paradigms. We orthogonally manipulated the number of orthographic and phonological neighbors of words using the Levenshtein Distance metric (OLD20 and PLD20, respectively). The results showed opposite effects of phonological neighborhood density (PND) as a function of orthographic neighborhood density (OND). Larger N400 amplitudes were elicited by words with high PND compared with low PND when OND was high, and smaller N400 amplitudes were observed with high PND compared with low PND words when OND was low. We interpret these findings using the notion of cross-code consistency, according to which the compatibility of orthographic and phonological representations activated by a given word influences the process of recognizing that word. Words with similar numbers of orthographic and phonological neighbors have more consistent spellings and pronunciations across the neighborhood, and generate larger N400 amplitudes.

Keywords: ERPs; Orthographic neighbors; Phonological neighbors; Visual word recognition.

PubMed Disclaimer

Figures

Fig. 1.
Fig. 1.
Architecture of the bimodal interactive activation model of word recognition (the details of the inhibitory within-level and excitatory between-level connections are not provided).
Fig. 2.
Fig. 2.
Electrode montage and analysis sites.
Fig. 3.
Fig. 3.
ERP waveforms as a function of task – lexical decision (LDT) compared with semantic categorization (SCT).
Fig. 4.
Fig. 4.
The effect of phonological neighborhood density (PN: high vs. low) on words with a high orthographic neighborhood density (high ON).
Fig. 5.
Fig. 5.
The effect of phonological neighborhood density (PN: high vs. low) on words with a low orthographic neighborhood density (low ON).

Similar articles

Cited by

References

    1. Carrasco-Ortiz H, Midgley KJ, & Frenck-Mestre C (2012). Are phonological representations in bilinguals language specific? an ERP study on interlingual homophones. Psychophysiology, 49(4), 531–543. 10.1111/j.1469-8986.2011.01333.x. - DOI - PubMed
    1. Carreiras M, Perea M, & Grainger J (1997). Effects of the orthographic neighborhood in visual word recognition: Cross-task comparisons. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23(4), 857–871. 10.1037/0278-7393.23.4.857. - DOI - PubMed
    1. CELEX. (1993). English database (Release E25). Available from: http://www.mpi.nl/world/celex.
    1. Chen H-C, Vaid J, Boas DA, & Bortfeld H (2011). Examining the phonological neighborhood density effect using near infrared spectroscopy. Human brain mapping, 32(9), 1363–1370. 10.1002/hbm.21115. - DOI - PMC - PubMed
    1. Coltheart M, Davelaar E, Jonasson J, & Besner D (1977). Access to the internal lexicon. In Dornic En S. (Ed.), Attention and performance VI (pp. 535–555). Hillsdale, NJ: Lawrence Erlbaum Associates. Recuperado a partir de. http://www.maccs.mq.edu.au/~max/cv/#four.

LinkOut - more resources