Brain responses to musical feature changes in adolescent cochlear implant users

Cochlear implants (CIs) are primarily designed to assist deaf individuals in perception of speech, although possibilities for music fruition have also been documented. Previous studies have indicated the existence of neural correlates of residual music skills in postlingually deaf adults and children. However, little is known about the behavioral and neural correlates of music perception in the new generation of prelingually deaf adolescents who grew up with CIs. With electroencephalography (EEG), we recorded the mismatch negativity (MMN) of the auditory event-related potential to changes in musical features in adolescent CI users and in normal-hearing (NH) age mates. EEG recordings and behavioral testing were carried out before (T1) and after (T2) a 2-week music training program for the CI users and in two sessions equally separated in time for NH controls. We found significant MMNs in adolescent CI users for deviations in timbre, intensity, and rhythm, indicating residual neural prerequisites for musical feature processing. By contrast, only one of the two pitch deviants elicited an MMN in CI users. This pitch discrimination deficit was supported by behavioral measures, in which CI users scored significantly below the NH level. Overall, MMN amplitudes were significantly smaller in CI users than in NH controls, suggesting poorer music discrimination ability. Despite compliance from the CI participants, we found no effect of the music training, likely resulting from the brevity of the program. This is the first study showing significant brain responses to musical feature changes in prelingually deaf adolescent CI users and their associations with behavioral measures, implying neural predispositions for at least some aspects of music processing. Future studies should test any beneficial effects of a longer lasting music intervention in adolescent CI users.Peer reviewe

Differences in the literacy skills of Danish dyslexic students in two types of higher education programmes

Previous research has treated high-functioning dyslexic students as a homogeneous group. This study explores the clinical observation that dyslexic students attending university programmes differ from dyslexic students attending tertiary education professional programmes in some aspects of their literacy skills. Four groups, dyslexic university students (n = 32), dyslexic students attending professional programmes (n = 32), control university students (n = 31), and control students from professional programmes (n = 30), were assessed on measures of pseudoword reading, phonological choice, vocabulary, reading and spelling of morphologically complex single words, and reading aloud from a syntactically complex text. The results showed that the two dyslexic groups were comparable only on the phonological tasks, the dyslexic university students outperforming the professional programme students in all reading and spelling measures. Controlling vocabulary and number of semesters studied, the difference was no longer significant. Nevertheless, the analyses indicate that phonological deficits underlie the performance of professional programme students with dyslexia across a wide range of tasks, whereas university students with dyslexia may be able to limit the impact of phonological deficits to some extent by relying on some alternative cognitive attributes. Reading experience, orthographic learning, and working memory efficiency are discussed as possible explanations for this pattern of results

Different in different ways: A network-analysis approach to voice and prosody in Autism Spectrum Disorder

Speakers with autism spectrum disorder (ASD) are commonly reported to have atypical voice and prosody that impact impression formation. While human raters are highly accurate in distinguishing between ASD and neurotypical (NT) speakers, there is little consensus on which specific acoustic features differentiate these groups, suggesting the presence of multiple prosodic profiles. To investigate this possibility, we modelled the speech from a selection of speakers (N = 30), with and without ASD, as a network of nodes defined by acoustic features, and used a community-detection algorithm to identify clusters of speakers who were acoustically similar. Analyses suggested three clusters: one primarily composed of speakers with ASD, one of mostly NT speakers, and one comprised of an even mixture of ASD and NT speakers. Human raters are highly reliable at distinguishing speakers with and without ASD based on perceptual voice and prosodic cues. Our results suggest that community-detection methods using a network approach may complement commonly employed human ratings to improve our understanding of the intonation profiles in ASD

Identifying dyslexia at the university : Assessing phonological coding is not enough

A dyslexia diagnosis in Denmark can have significant consequences for individuals, as support is not available to others with reading difficulties. Currently, the diagnosis is given solely on the basis of an electronically administered test consisting of two tasks assessing grapheme-phoneme correspondences. To examine whether the Danish diagnostic test is sufficient to identify university students with dyslexia, we compared the performance of 239 Danish university students who reported literacy difficulties and were tested for dyslexia with the Danish diagnostic test on three word-level tests (low-frequency word reading, high-frequency word reading and spelling to dictation) with the performance of separate control groups for each test: 220, 212 and 218 students, respectively. The results showed that 61% of students labelled “not dyslexic” by the Danish diagnostic test performed significantly worse than controls on at least two out of three word-level tests. In terms of self-report of literacy difficulties, students labelled “not dyslexic” by the diagnostic test were indistinguishable from those labelled “dyslexic.” These findings suggest that the current method of diagnosing dyslexia in Denmark is too narrow and that adding a few simple tests of word reading and spelling would minimize the risk of overlooking students in need of literacy support

Caregiver linguistic alignment to autistic and typically developing children

Background: Language development is a highly interactive activity. However, most research on linguistic environment has focused on quantity and complexity of linguistic input to children, with current models showing that complexity facilitates language in both TD children and autistic children. Aims: We investigate the presence and sensitivity of caregivers’ active reuse of their children’s language (linguistic alignment), and how well it predicts language development beyond other measures of linguistic input, taking also into account the child’s cognitive, social and linguistic abilities. Methods: We measure lexical, syntactic and semantic types of caregiver alignment in a longitudinal corpus involving 32 adult-autistic child and 35 adult-TD child dyads, with children between 2 and 5 years of age. We assess the extent to which caregivers repeat their children’s word, syntax and semantics, and whether this predicts language development beyond more standard predictors. Results: Caregivers tend to re-use their child’s language in a way that is related to the child’s individual, primarily linguistic differences. Caregivers’ alignment provides unique information improving our ability to predict future language development in both typical and autistic children. Conclusions: We provide evidence that language acquisition also relies on interactive conversational processes, previously understudied. We share open-source scripts to systematically extend our approach to new contexts and languages