Multifractal information on reading eye tracking data

Marcos M. Meo, Francisco R. Iaconis, Jessica A. Del Punta, Claudio A. Delrieux and Gustavo Gasaneo

Physica A: Statistical Mechanics and its Applications, 2024, vol. 638, issue C

Abstract: The study of the multifractal characteristics of physiological processes attracted wide interest in recent decades, since evidence has been found that the presence of certain alterations in these processes is reflected in the variability of their dynamics. However, neurocognitive processes have not been so widely studied from this perspective. We aim to provide new insights regarding the alterations that dyslexia produces in eye movements during reading. For this reason, we performed fractal and multifractal analysis of eye movements of children with and without dyslexia. This investigation showed that disorders in the cognitive process of reading, such as the one caused by dyslexia, induce slight alterations in the variability of eye movements usually found in neurotypical subjects. In particular, we found differences in the dynamics of fixations and saccades presented by children with dyslexia, a fact that is reflected in the long-range correlation behavior of the recorded eye-tracking data. This finding may provide hints about the neurocognitive organization of the reading process and how it is altered in dyslexic subjects, and also an inexpensive and non-invasive means to detect the condition in its early stages.

Keywords: Multifractal analysis; Reading; Dyslexia; Eye movements (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037843712400133X
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:638:y:2024:i:c:s037843712400133x

DOI: 10.1016/j.physa.2024.129625

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().