Parent-child interaction as a dynamic contributor to learning and cognitive development in typical and atypical development / Influencia dinámica entre la interacción padre/madre-hijo y el aprendizaje y el desarrollo cognitivo en el desarrollo típico y atípico

Converging evidence suggests that parent-infant interaction is one of the most crucial formative influences on child development. In neurodevelopmental disorders, however, different timings and trajectories of development may add a layer of difficulty to the existing challenges of dyadic interaction. The current study therefore set out to compare the specific aspects of dyadic interaction (i.e., responsiveness, directiveness, attentiveness, positive affect, liveliness, mutuality and engagement) between parent-infant dyads with Down syndrome, Williams syndrome and typical development. Video clips of parent-infant play interaction were rated using a validated tool, namely, the Social Interaction Measure for Parents and Infants. Significant effects emerged with respect to infant group on the quality of dyadic interaction, with the multiple comparison tests revealing differences between atypically and typically developing infant-parent dyads. The findings are discussed in relation to the effects of dyadic interaction on the linguistic and socio-cognitive development of atypical children

Motor Abilities and the Motor Profile in Individuals with Williams Syndrome

Funder: Economic and Social Research Council; doi: http://dx.doi.org/10.13039/501100000269Funder: Williams Syndrome Foundation; doi: http://dx.doi.org/10.13039/501100000347Abstract: Objectives: Motor difficulties are present across a range of neurodevelopmental disorders, impacting on the development of other domains and on overall quality of life. One population that shows difficulties with their motor abilities is composed of individuals with Williams syndrome (WS). The purposes of the current study were to investigate the motor profile of individuals with WS and to investigate the relationships between physical activity and motor performance in this group. Methods: The motor performance of 36 individuals with WS was measured using the Bruininks-Oseretsky Test of Motor Proficiency, second edition (BOT2-SF) short form. Physical activity was also measured using our novel questionnaire. Performance on both measures was compared with that of typically developing (TD) children aged 4 to 7 years (N = 40). Results: Results indicate that the individuals with WS (aged 12 to 50 years) performed at the level of TD 4- to 5-year olds with respect to overall motor ability. On examination of the motor profile, a relative strength in upper limb control and a relative weakness in balance were identified for this group. While a correlation was found between motor ability and the amount of physical activity that participants engaged in on a weekly basis in the TD group, no such relationship was found in the WS group. Conclusions: The motor problems that individuals with WS show in childhood persist into older childhood and adulthood, and akin to the WS cognitive profile, there are relative strengths and weaknesses in the WS motor profile. The lack of correlation between physical activity and motor ability in the WS group may be due to the lack of opportunity to access age- and ability-appropriate activities

Is the Motor Impairment in Attention Deficit Hyperactivity Disorder (ADHD) a Co-Occurring Deficit or a Phenotypic Characteristic?

Abstract: Objectives: Motor difficulties are often reported in individuals with attention deficit hyperactivity disorder (ADHD). The aims of this study are to detail the motor profile of children with ADHD and to determine whether the motor impairment present in a large proportion of children with ADHD represents a phenotypic characteristic of ADHD or a co-occurring deficit. Methods: Participants with ADHD (N = 51; age 8 to 15 years) and typically developing (TD) motor matched control children (N = 75; age 4 to 11 years) completed the largest battery of assessments of motor function that have been used with this population to date, as well as a measure of inhibition as a behavioural measure of ADHD characteristics. Parents/caregivers also completed questionnaires relating to ADHD symptomology and a retrospective report of their child’s motor milestone achievement. Results: A motor deficit was observed in 47% of our ADHD sample. Few relationships were observed between ADHD core characteristics and motor competence. Furthermore, there was an uneven profile of motor performance across different motor tasks, relative to the TD children. Interestingly, it appears that motor milestone achievement is not delayed in ADHD. Conclusions: Our findings suggest that the motor deficit observed in ADHD is not inherent to ADHD. The motor deficit observed in some children with ADHD does not represent a simple delay in development and is not observed in infancy with respect to reaching motor milestones

Audio-visual speech perception in infants and toddlers with Down syndrome, fragile X syndrome, and Williams syndrome

Typically-developing (TD) infants can construct unified cross-modal percepts, such as a speaking face, by integrating auditory-visual (AV) information. This skill is a key building block upon which higher-level skills, such as word learning, are built. Because word learning is seriously delayed in most children with neurodevelopmental disorders, we assessed the hypothesis that this delay partly results from a deficit in integrating AV speech cues. AV speech integration has rarely been investigated in neurodevelopmental disorders, and never previously in infants. We probed for the McGurk effect, which occurs when the auditory component of one sound (/ba/) is paired with the visual component of another sound (/ga/), leading to the perception of an illusory third sound (/da/ or /tha/). We measured AV integration in 95 infants/toddlers with Down, fragile X, or Williams syndrome, whom we matched on Chronological and Mental Age to 25 TD infants. We also assessed a more basic AV perceptual ability: sensitivity to matching vs. mismatching AV speech stimuli. Infants with Williams syndrome failed to demonstrate a McGurk effect, indicating poor AV speech integration. Moreover, while the TD children discriminated between matching and mismatching AV stimuli, none of the other groups did, hinting at a basic deficit or delay in AV speech processing, which is likely to constrain subsequent language development

Health comorbidities and cognitive abilities across the lifespan in Down syndrome

Abstract: Background: Down syndrome (DS) is associated with variable intellectual disability and multiple health and psychiatric comorbidities. The impact of such comorbidities on cognitive outcomes is unknown. We aimed to describe patterns of physical health and psychiatric comorbidity prevalence, and receptive language ability, in DS across the lifespan, and determine relationships with cognitive outcomes. Methods: Detailed medical histories were collected and cognitive abilities measured using standardised tests for 602 individuals with DS from England and Wales (age range 3 months to 73 years). Differences in prevalence rates between age groups and between males and females were determined using chi-squared or Fisher’s exact tests. In adults, rates for psychiatric comorbidities were compared to expected population rates using standardised morbidity ratios (SMRs). Adapted ANCOVA functions were constructed to explore age and sex associations with receptive language ability across the lifespan, and regression analyses were performed to determine whether the presence of health comorbidities or physical phenotypes predicted cognitive abilities. Results: Multiple comorbidities showed prevalence differences across the lifespan, though there were few sex differences. In adults, SMRs were increased in males and decreased in females with DS for schizophrenia, bipolar disorder, and anxiety. Further, SMRs were increased in both males and females with DS for dementia, autism, ADHD, and depression, with differences more pronounced in females for dementia and autism, and in males for depression. Across the lifespan, receptive language abilities increasingly deviated from age-typical levels, and males scored poorer than females. Only autism and epilepsy were associated with poorer cognitive ability in those aged 16–35 years, with no relationships for physical health comorbidities, including congenital heart defects. Conclusions: Our results indicate the prevalence of multiple comorbidities varies across the lifespan in DS, and in adults, rates for psychiatric comorbidities show different patterns for males and females relative to expected population rates. Further, most health comorbidities are not associated with poorer cognitive outcomes in DS, apart from autism and epilepsy. It is essential for clinicians to consider such differences to provide appropriate care and treatment for those with DS and to provide prognostic information relating to cognitive outcomes in those with comorbidities

Health comorbidities and cognitive abilities across the lifespan in Down syndrome

Abstract: Background: Down syndrome (DS) is associated with variable intellectual disability and multiple health and psychiatric comorbidities. The impact of such comorbidities on cognitive outcomes is unknown. We aimed to describe patterns of physical health and psychiatric comorbidity prevalence, and receptive language ability, in DS across the lifespan, and determine relationships with cognitive outcomes. Methods: Detailed medical histories were collected and cognitive abilities measured using standardised tests for 602 individuals with DS from England and Wales (age range 3 months to 73 years). Differences in prevalence rates between age groups and between males and females were determined using chi-squared or Fisher’s exact tests. In adults, rates for psychiatric comorbidities were compared to expected population rates using standardised morbidity ratios (SMRs). Adapted ANCOVA functions were constructed to explore age and sex associations with receptive language ability across the lifespan, and regression analyses were performed to determine whether the presence of health comorbidities or physical phenotypes predicted cognitive abilities. Results: Multiple comorbidities showed prevalence differences across the lifespan, though there were few sex differences. In adults, SMRs were increased in males and decreased in females with DS for schizophrenia, bipolar disorder, and anxiety. Further, SMRs were increased in both males and females with DS for dementia, autism, ADHD, and depression, with differences more pronounced in females for dementia and autism, and in males for depression. Across the lifespan, receptive language abilities increasingly deviated from age-typical levels, and males scored poorer than females. Only autism and epilepsy were associated with poorer cognitive ability in those aged 16–35 years, with no relationships for physical health comorbidities, including congenital heart defects. Conclusions: Our results indicate the prevalence of multiple comorbidities varies across the lifespan in DS, and in adults, rates for psychiatric comorbidities show different patterns for males and females relative to expected population rates. Further, most health comorbidities are not associated with poorer cognitive outcomes in DS, apart from autism and epilepsy. It is essential for clinicians to consider such differences to provide appropriate care and treatment for those with DS and to provide prognostic information relating to cognitive outcomes in those with comorbidities

Proportion of fixations on the eyes of the Incongruent face relative to the eyes of both Incongruent and Congruent faces, organised by Group (TD control, DS, FXS, WS).

<p>Proportion of fixations on the eyes of the Incongruent face relative to the eyes of both Incongruent and Congruent faces, organised by Group (TD control, DS, FXS, WS).</p

Number of fixations to eyes/mouth AOIs for each group (TD, DS, WS) and face (congruent, incongruent).

<p>Eyes-Con = eyes AOI in the congruent face. Eyes-Incon = eyes AOI in the incongruent face. Mouth-Con = mouth AOI in the congruent face. Mouth-Incon = mouth AOI in the incongruent face. Error bars represent one standard error of the mean.</p

The face-scanning patterns of two typically developing (TD) children: the blue path represents the scanning pattern of a child with a receptive vocabulary of 213 words; the red path represents the scanning pattern of a child with a receptive vocabulary of 8 words.

<p>TD infants who focused on the incongruent mouth had a larger vocabulary than those who focused on the congruent mouth. The incongruent mouth is the one on the left.</p

Mean chronological age (CA) and mental age (MA) for each group.

<p>^a These two groups were CA-matched to the TD control group</p><p>^b These three groups were MA-matched to the TD control group</p><p>^c This table does not include the participant who was excluded from the analyses for having a relatively high MA (see main text).</p><p>Mean chronological age (CA) and mental age (MA) for each group.</p