Dataset Information

The effect of convolving word length, word frequency, function word predictability and first pass reading time in the analysis of a fixation-related fMRI dataset.

ABSTRACT: The data presented in this document was created to explore the effect of including or excluding word length, word frequency, the lexical predictability of function words and first pass reading time (or the duration of the first fixation on a word) as either baseline regressors or duration modulators on the final analysis for a fixation-related fMRI investigation of linguistic processing. The effect of these regressors was a central question raised during the review of Linguistic networks associated with lexical, semantic and syntactic predictability in reading: A fixation-related fMRI study [1]. Three datasets were created and compared to the original dataset to determine their effect. The first examines the effect of adding word length and word frequency as baseline regressors. The second examines the effect of removing first pass reading time as a duration modulator. The third examines the inclusion of function word predictability into the baseline hemodynamic response function. Statistical maps were created for each dataset and compared to the primary dataset (published in [1]) across the linguistic conditions of the initial dataset (lexical predictability, semantic predictability or syntax predictability).

SUBMITTER: Carter BT

PROVIDER: S-EPMC6706769 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:For normally sighted readers, word neighborhood size (i.e., the total number of words that can be formed from a single word by changing only one letter) has a facilitator effect on word recognition. When reading with central field loss (CFL) however, individual letters may not be correctly identified, leading to possible misidentifications and a reverse neighborhood size effect. Here we investigate this inhibitory effect of word neighborhood size on reading performance and whether it is modulated by word predictability and reading proficiency. Nineteen patients with binocular CFL from 32 to 89 years old (mean ± SD = 75 ± 15) read short sentences presented with the self-paced reading paradigm. Accuracy and reading time were measured for each target word read, along with its predictability, i.e., its probability of occurrence following the two preceding words in the sentence using a trigram analysis. Linear mixed effects models were then fit to estimate the individual contributions of word neighborhood size, predictability, frequency and length on accuracy and reading time, while taking patients' reading proficiency into account. For the less proficient readers, who have given up daily reading as a consequence of their visual impairment, we found that the effect of neighborhood size was reversed compared to normally sighted readers and of higher amplitude than the effect of frequency. Furthermore, this inhibitory effect is of greater amplitude (up to 50% decrease in reading speed) when a word is not easily predictable because its chances to occur after the two preceding words in a specific sentence are rather low. Severely impaired patients with CFL often quit reading on a daily basis because this task becomes simply too exhausting. Based on our results, we envision lexical text simplification as a new alternative to promote effective rehabilitation in these patients. By increasing reading accessibility for those who struggle the most, text simplification might be used as an efficient rehabilitation tool and daily reading assistive technology, fostering overall reading ability and fluency through increased practice.

Dataset Information

The effect of convolving word length, word frequency, function word predictability and first pass reading time in the analysis of a fixation-related fMRI dataset.

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