Maria Mittag

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We addressed the neural organization of speech versus nonspeech sound processing by investigating preattentive cortical auditory processing of changes in five features of a consonant-vowel syllable (consonant, vowel, sound duration, frequency, and intensity) and their acoustically matched nonspeech counterparts in a simultaneous EEG-MEG recording of(More)
OBJECTIVE Letter-speech sound integration in fluent readers takes place automatically and is dependent on temporal synchrony between letters and sounds. In developmental dyslexia, however, letter-speech sound associations are hard to learn, compromising accurate and fluent reading. We studied the effect of printed text on processing speech sounds in(More)
Associating letters with speech sounds is essential for reading skill acquisition. In the current study, we aimed at determining the effects of different types of visual material and temporal synchrony on the integration of letters and speech sounds. To this end, we recorded the mismatch negativity (MMN), an index of automatic change detection in the brain,(More)
We used event-related brain potentials (ERPs) to study effects of selective attention on the processing of attended and unattended spoken syllables and letters. Participants were presented with syllables randomly occurring in the left or right ear and spoken by different voices and with a concurrent foveal stream of consonant letters written in darker or(More)
We studied attention effects on the integration of written and spoken syllables in fluent adult readers by using event-related brain potentials. Auditory consonant-vowel syllables, including consonant and frequency changes, were presented in synchrony with written syllables or their scrambled images. Participants responded to longer-duration auditory(More)
UNLABELLED Representations encoding the probabilities of auditory events do not directly support predictive processing. In contrast, information about the probability with which a given sound follows another (transitional probability) allows predictions of upcoming sounds. We tested whether behavioral and cortical auditory deviance detection (the latter(More)
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