Dataset Information

Building functional connectivity neuromarkers of behavioral self-regulation across children with and without Autism Spectrum Disorder.

ABSTRACT: Behavioral self-regulation develops rapidly during childhood and struggles in this area can have lifelong negative outcomes. Challenges with self-regulation are common to several neurodevelopmental conditions, including Autism Spectrum Disorder (ASD). Little is known about the neural expression of behavioral regulation in children with and without neurodevelopmental conditions. We examined whole-brain brain functional correlations (FC) and behavioral regulation through connectome predictive modelling (CPM). CPM is a data-driven protocol for developing predictive models of brain-behavior relationships and assessing their potential as 'neuromarkers' using cross-validation. The data stems from the ABIDE II and comprises 276 children with and without ASD (8-13 years). We identified networks whose FC predicted individual differences in behavioral regulation. These network models predicted novel individuals' inhibition and shifting from FC data in both a leave-one-out, and split halves, cross-validation. We observed commonalities and differences, with inhibition relying on more posterior networks, shifting relying on more anterior networks, and both involving regions of the DMN. Our findings substantially add to our knowledge on the neural expressions of inhibition and shifting across children with and without a neurodevelopmental condition. Given the numerous behavioral issues that can be quantified dimensionally, refinement of whole-brain neuromarker techniques may prove useful in the future.

SUBMITTER: Rohr CS

PROVIDER: S-EPMC6994646 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Building functional connectivity neuromarkers of behavioral self-regulation across children with and without Autism Spectrum Disorder.

Rohr Christiane S CS Kamal Shanty S Bray Signe S

Developmental cognitive neuroscience 20191205

Behavioral self-regulation develops rapidly during childhood and struggles in this area can have lifelong negative outcomes. Challenges with self-regulation are common to several neurodevelopmental conditions, including Autism Spectrum Disorder (ASD). Little is known about the neural expression of behavioral regulation in children with and without neurodevelopmental conditions. We examined whole-brain brain functional correlations (FC) and behavioral regulation through connectome predictive mode ...[more]

PMID: 31826838

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Project description:Background:Lower gestational age may increase autism spectrum disorder (ASD) vulnerability; however, the incidence of ASD diagnosis through a direct assessment on every very preterm birth child on the population base remains unclear. Moreover, the behavioral characteristics of preterm birth ASD are unknown. Methods:Every very preterm birth child (gestational age <?32?weeks; birth weight <?1500?g) who was discharged from neonatal intensive care units in Southern Taiwan and prospectively followed to 5?years of age was evaluated using the Autism Diagnostic Observation Schedule (ADOS) and the Autism Diagnostic Interview-Revised (ADI-R). The term birth (gestational age >?37?weeks) ASD children characterized by ADOS and ADI-R were group matched to the preterm birth ASD by age at examination for comparison. ADOS severity scores were calculated by the Mann-Whitney U test and ADI-R by multivariate analysis of variance and canonical discriminant analysis. Results:Two hundred forty-six (87%) of the 283 very preterm survivors were followed prospectively to 5?years of age. Nineteen (7.7%) of the 246 children fulfilled the diagnostic criteria of ASD. After excluding 1 patient with cerebral palsy and profound mental disability, 18 preterm ASD children were compared with 44 term birth ASD children. The two ASD groups were comparable for age at examination, gender, and intelligence quotient. The two groups showed comparable ADOS severity scores in social affect deficits, restricted repetitive behaviors, and total score, but had differences in qualitative abnormalities in reciprocal social interaction (Wilks lambda F value?=?6.2, P?<?0.001) of ADI-R. Compared to term birth ASD children, preterm birth ASD children exhibited worse nonverbal behaviors that regulate social interaction (OR 2.59, 95% CI 1.41-4.73, P?=?0.002) but more favorable peer relationships (OR 0.58, 95% CI 0.38-0.90, P?=?0.01) and socioemotional reciprocity (OR 0.55, 95% CI 0.33-0.92, P?=?0.02). In contrast to the heterogeneous severity of social reciprocity in the term ASD group, the behavioral characteristics of the preterm ASD group showed a homogeneous reciprocal social interaction pattern. Conclusions:The 5-year incidence rate of ASD was high in very preterm birth children. Preterm birth ASD exhibited a specific behavioral phenotype of reciprocal social interaction.

Dataset Information

Building functional connectivity neuromarkers of behavioral self-regulation across children with and without Autism Spectrum Disorder.

Publications

Building functional connectivity neuromarkers of behavioral self-regulation across children with and without Autism Spectrum Disorder.

Similar Datasets

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