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EEG coherence analysis for examining an automatizational deficit in dyslexia - a pilot study Objectives: Do dyslexic children exhibit a general automatizational deficit as well as a phonological deficit? Methods: In 1,6 children aged 9-11 years the reaction time, the number of mistakes and EEG (19 scalp electrodes) were measured in three experiments (verbal and nonverbal). The EEG data was baseline-corrected and after a fast fourier transformation, analyzed with the coherence tool of the Brainvision(C) Software. Results: The dyslexic group made more mistakes than the control group on all tasks but their reaction times were significantly longer only on the verbal tasks. There were no coherence differences on the nonverbal task. On the language-dependent tasks the dyslexics showed higher total-frontal and lower left-frontal coherences only in the theta-frequency range, while in the alpha and beta frequency ranges coherences did not differ. Conclusions: A language-dependent cognitive automatizational deficit in the dyslexic group is assumed that is depicted by the higher synchronization of total-frontal coherences (involvement of the central executive) and is based on the less established functional coupling of cortical subsystems for language processing
We question the assumption of serial attention shifts and the assumption that saccade programs are initiated or canceled only after stage one of word identification. Evidence: (1) Fixation durations prior to skipped words are not consistently higher compared to those prior to non-skipped words. (2) Attentional modulation of microsaccade rate might occur after early visual processing. Saccades are probably triggered by attentional selection
Computational models such as E-Z Reader and SWIFT are ideal theoretical tools to test quantitatively our current understanding of eye-movement control in reading. Here we present a mathematical analysis of word skipping in the E-Z Reader model by semianalytic methods, to highlight the differences in current modeling approaches. In E-Z Reader, the word identification system must outperform the oculomotor system to induce word skipping. In SWIFT, there is competition among words to be selected as a saccade target. We conclude that it is the question of competitors in the "game" of word skipping that must be solved in eye movement research
SWIFT explorations
(2003)