The hypothesis was tested that weak theory of mind (ToM) and/or emotion recognition (ER) abilities are specific to subjects with autism. Differences in ToM and ER performance were examined between autistic (n = 20), pervasive developmental disorder—not otherwise specified (PDD-NOS) (n = 20), psychiatric control (n = 20), and normal children (n = 20). The clinical groups were matched person-to-person on age and verbal IQ. We used tasks for the matching and the context recognition of emotional expressions, and a set of first- and second-order ToM tasks. Autistic and PDD-NOS children could not be significantly differentiated from each other, nor could they be differentiated from the psychiatric controls with a diagnosis of ADHD (n = 9). The psychiatric controls with conduct disorder or dysthymia performed about as well as normal children. The variance in second-order ToM performance contributed most to differences between diagnostic groups.

No abstract

This study was designed to examine the developmental and cognitive correlates of theory of mind (ToM) and emotion recognition ability in children with autism (N = 20), with pervasive developmental disorder-not otherwise specified (PDD-NOS) (N = 20), and in psychiatric control children (N = 20). The diagnostic groups were person-to-person matched on age and verbal IQ. The age of the children was between 8 and 18 years; their Full Scale IQ was at least 65. The test battery included tasks for the matching and the context recognition of emotional expressions, and a set of first- and second-order ToM tasks. The relationships between composite domain scores and the subjects' age, Verbal IQ, Performance IQ, verbal memory, visual memory, and gender were examined in bivariate and multivariate analyses. Further, the subjects who reliably and consistently passed the tasks of a domain and those who could not were compared on developmental and cognitive characteristics. Overall, the results of the various analyses converged and indicated that verbal memory, Performance IQ, age and gender were the best predictors of social cognitive ability.

This study aims to (1) investigate the neuropathology of mild to severe pediatric TBI and (2) elucidate the predictive value of conventional and innovative neuroimaging for functional outcome. Children aged 8–14 years with trauma control (TC) injury (n = 27) were compared to children with mild TBI and risk factors for complicated TBI (mildRF+, n = 20) or moderate/severe TBI (n = 17) at 2.8 years post-injury. Neuroimaging measures included: acute computed tomography (CT), volumetric analysis on post-acute conventional T1-weighted magnetic resonance imaging (MRI) and post-acute diffusion tensor imaging (DTI, analyzed using tract-based spatial statistics and voxel-wise regression). Functional outcome was measured using Common Data Elements for neurocognitive and behavioral functioning. The results show that intracranial pathology on acute CT-scans was more prevalent after moderate/severe TBI (65%) than after mildRF+ TBI (35%; p = .035), while both groups had decreased white matter volume on conventional MRI (ps ≤ .029, ds ≥ −0.74). The moderate/severe TBI group further showed decreased fractional anisotropy (FA) in a widespread cluster affecting all white matter tracts, in which regional associations with neurocognitive functioning were observed (FSIQ, Digit Span and RAVLT Encoding) that consistently involved the corpus callosum. FA had superior predictive value for functional outcome (i.e. intelligence, attention and working memory, encoding in verbal memory and internalizing problems) relative to acute CT-scanning (i.e. internalizing problems) and conventional MRI (no predictive value). We conclude that children with mildRF+ TBI and moderate/severe TBI are at risk of persistent white matter abnormality. Furthermore, DTI has superior predictive value for neurocognitive out-come relative to conventional neuroimaging.Electronic supplementary materialThe online version of this article (doi:10.1007/s11682-017-9673-3) contains supplementary material, which is available to authorized users.

This study aimed to investigate the impact of mild to severe pediatric TBI on the structural connectome. Children aged 8-14 years with trauma control (TC) injury (n = 27) were compared to children with mild TBI and risk factors for complicated TBI (mild , n = 20) or moderate/severe TBI (n = 16) at 2.8 years post-injury. Probabilistic tractography on diffusion tensor imaging data was used in combination with graph theory to study structural connectivity. Functional outcome was measured using neurocognitive tests and parent and teacher questionnaires for behavioral functioning. The results revealed no evidence for an impact of mild TBI on the structural connectome. In contrast, the moderate/severe TBI group showed longer characteristic path length (P = 0.022, d = 0.82) than the TC group. Furthermore, longer characteristic path length was related to poorer intelligence and poorer working memory in children with TBI. In conclusion, children have abnormal organization of the structural connectome after moderate/severe TBI, which may be implicated in neurocognitive dysfunction associated with pediatric TBI. These findings should be interpreted in the context of our exploratory analyses, which indicate that the definition and weighting of connectivity (e.g., streamline density, fractional anisotropy) influence the properties of the reconstructed connectome and its sensitivity to the impact and outcome of pediatric TBI. Hum Brain Mapp, 2017. © 2017 Wiley Periodicals, Inc.

BACKGROUND: We investigated the impact of pediatric traumatic brain injury (TBI) on attention, a prerequisite for behavioral and neurocognitive functioning.METHODS: Children aged 6 to 13 years who were diagnosed with TBI (n = 113; mean 1.7 years postinjury) were compared with children with a trauma control injury (not involving the head) (n = 53). TBI severity was defined as mild TBI with or without risk factors for complicated TBI (mild RF+ TBI, n = 52; mild RF2 TBI, n = 24) or moderate/severe TBI (n = 37). Behavioral functioning was assessed by using parent and teacher questionnaires, and the Attention Network Test assessed alerting, orienting, and executive attention. Ex-Gaussian modeling determined the contribution of extremely slow responses (lapses of attention) to mean reaction time (MRT). RESULTS:The TBI group showed higher parent and teacher ratings of attention and internalizing problems, higher parent ratings of externalizing problems, and lower intelligence than the control group (P , .05, d $ 0.34). No effect of TBI on alerting, orienting, and executive attention was observed (P $ .55). MRT was slower in the TBI group (P = .008, d = 0.45), traced back to increased lapses of attention (P = .002, d = 0.52). The mild RF2 TBI group was unaffected, whereas the mild RF+ TBI and moderate/severe TBI groups showed elevated parent ratings of behavior problems, lower intelligence, and increased lapses of attention (P # .03, d $ 0.48). Lapses of attention fully explained the negative relation between intelligence and parent-rated attention problems in the TBI group (P = .02).CONCLUSIONS: Lapses of attention represent a core attention deficit in children with mild RF+ TBI (even in the absence of intracranial pathology) or moderate/severe TBI, and relate to daily life problems after pediatric TBI. WHAT'S KNOWN ON THIS SUBJECT:Attention is a prerequisite for neurocognitive and behavioral functioning, having a crucial role in academic and social child development. Children with traumatic brain injury have pronounced deficits in attention, but the nature and consequences of these deficits remain unclear.WHAT THIS STUDY ADDS: Lapses of attention represent a core attention deficit after pediatric mild traumatic brain injury with risk factors for complicated traumatic brain injury, or moderate/severe traumatic brain injury. Importantly, lapses of attention explain the relation between intelligence and parent-rated attention problems.

This study was designed to examine the developmental and cognitive correlates of theory of mind (ToM) and emotion recognition ability in children with autism (N = 20), with pervasive developmental disorder-not otherwise specified (PDD-NOS) (N = 20), and in psychiatric control children (N = 20). The diagnostic groups were person-to-person matched on age and verbal IQ. The age of the children was between 8 and 18 years; their Full Scale IQ was at least 65. The test battery included tasks for the matching and the context recognition of emotional expressions, and a set of first- and second-order ToM tasks. The relationships between composite domain scores and the subjects' age, Verbal IQ, Performance IQ, verbal memory, visual memory, and gender were examined in bivariate and multivariate analyses. Further, the subjects who reliably and consistently passed the tasks of a domain and those who could not were compared on developmental and cognitive characteristics. Overall, the results of the various analyses converged and indicated that verbal memory, Performance IQ, age and gender were the best predictors of social cognitive ability.

No abstract