Publications by authors named "E Eising"
Article Synopsis
- This study investigated the genetic links between musical rhythm traits and language-related traits, particularly dyslexia, using data from large genetic samples.
- Researchers found 16 genetic regions that contribute to both rhythm impairment and dyslexia, indicating a shared biological foundation.
- The study suggests that the neural connections related to both rhythm and language processing may be influenced by genetics, offering insights into the evolutionary connections between music and language.
Purpose: Stuttering is a speech condition that can have a major impact on a person's quality of life. This descriptive study aimed to identify subgroups of people who stutter (PWS) based on stuttering burden and to investigate differences between these subgroups on psychosocial aspects of life.
Method: The study included 618 adult participants who stutter.
Article Synopsis
- Researchers conducted a study on vocabulary development in children, looking specifically at how genetic factors influence both expressive and receptive vocabulary sizes as children grow.
- The study involved nearly 38,000 parental reports from children of European descent and analyzed vocabulary measures at different developmental stages, assessing various genetic correlations.
- Findings indicated that early vocabulary is somewhat heritable and that there's genetic overlap with literacy skills, but a strong link to intelligence and ADHD appears later during toddlerhood.
Purpose: To our knowledge, there are no data examining the agreement between self-reported and clinician-rated stuttering severity. In the era of big data, self-reported ratings have great potential utility for large-scale data collection, where cost and time preclude in-depth assessment by a clinician. Equally, there is increasing emphasis on the need to recognize an individual's experience of their own condition.
View Article and Find Full Text PDFRhythm and language-related traits are phenotypically correlated, but their genetic overlap is largely unknown. Here, we leveraged two large-scale genome-wide association studies performed to shed light on the shared genetics of rhythm (N=606,825) and dyslexia (N=1,138,870). Our results reveal an intricate shared genetic and neurobiological architecture, and lay groundwork for resolving longstanding debates about the potential co-evolution of human language and musical traits.
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