Corpus callosum in cognitive and sensory processing: insights into autism

Association among internalizing problems, white matter integrity, and social difficulties in children with autism spectrum disorder

Autism spectrum disorder (ASD) is characterized by social difficulties and often accompanied by internalizing and externalizing problems, which are frequently overlooked. Here, we examined and compared fractional anisotropy (FA) between 79 children with ASD (aged 4-7.8 years) and 70 age-, gender-, and handedness- matched typically developing controls (TDCs, aged 3-7.2 years). We aimed to explore the relationship among social difficulties, internalizing and externalizing problems, and brain structural foundation (characterized by white matter integrity). Compared with the TDCs, the children with ASD exhibited more severe internalizing and externalizing problems, which were positively correlated with social difficulties. Reduced FA values were observed in specific white matter tracts that integrate a fronto-temporal-occipital circuit. In particular, the FA values within this circuit were negatively correlated with internalizing problems and SRS-TOTAL scores. Mediation analysis revealed that internalizing problems mediated the relationship between the FA values in the left middle longitudinal fasciculus (L-MdLF) and corpus callosum forceps major (CCM) and social difficulties in children with ASD. These findings contribute to our understanding of social difficulties, internalizing and externalizing problems, and white matter integrity in children with ASD and highlight internalizing problems as a mediator between social difficulties and white matter integrity.

Prefrontal Functional Connectivities in Autism Spectrum Disorders: A Connectopathic Disorder Affecting Movement, Interoception, and Cognition

The prefrontal cortex is included in a neuronal system that includes the basal ganglia, the thalamus, and the cerebellum. Most of the higher and more complex motor, cognitive, and emotional behavioral functions are thought to be found primarily in the frontal lobes. Insufficient connectivity between the medial prefrontal cortex (mPFC) and other regions of the brain that are distant from each other involved in top-down information processing rely on the global integration of data from multiple input sources and enhance low level perception processes (bottom-up information processing). The reduced deactivation in mPFC and in the rest of the Default Network during global task processing is consistent with the integrative modulatory role served by the mPFC. We stress the importance of understanding the degree to which sensory and movement anomalies in individuals with autism spectrum disorder (ASD) can contribute to social impairment. Further investigation on the neurobiological basis of sensory symptoms and its relationship to other clinical features found in ASD is required Treatment perhaps should not be first behaviorally based but rather based on facilitating sensory motor development.

Mirror movements and callosal dysgenesis in a family with a DCC mutation: Neuropsychological and neuroimaging outcomes

Corpus callosum dysgenesis is a congenital abnormality whereby the corpus callosum fails to develop normally, and has been associated with a range of neuropsychological outcomes. One specific finding in some individuals with corpus callosum dysgenesis is "congenital mirror movement disorder", which is the presence of involuntary movements on one side of the body that mimic voluntary movements of the other side. Mirror movements have also been associated with mutations in the deleted in colorectal carcinoma (DCC) gene. The current study aims to comprehensively document the neuropsychological outcomes and neuroanatomical mapping of a family (a mother, daughter and son) with known DCC mutations. All three family members experience mirror movements, and the son additionally has partial agenesis of the corpus callosum (pACC). All family members underwent extensive neuropsychological testing, spanning general intellectual functioning, memory, language, literacy, numeracy, psychomotor speed, visuospatial perception, praxis and motor functioning, executive functioning, attention, verbal/nonverbal fluency, and social cognition. The mother and daughter had impaired memory for faces, and reduced spontaneous speech, and the daughter demonstrated scattered impairments in attention and executive functioning, but their neuropsychological abilities were largely within normal limits. By contrast, the son showed areas of significant impairment across multiple domains including reduced psychomotor speed, fine motor dexterity and general intellectual functioning, and he was profoundly impaired across areas of executive functioning and attention. Reductions in his verbal/non-verbal fluency, with relatively intact core language, resembled dynamic frontal aphasia. His relative strengths included aspects of memory and he demonstrated largely sound theory of mind. Neuroimaging revealed an asymmetric sigmoid bundle in the son, connecting, via the callosal remnant, the left frontal cortex with contralateral parieto-occipital cortex. Overall, this study documents a range of neuropsychological and neuroanatomical outcomes within one family with DCC mutations and mirror movements, including one with more severe consequences and pACC.

A comparison between a Neuro-Physiological Psychotherapy (NPP) treatment group and a control group for children adopted from care: Support for a neurodevelopmentally informed approach to therapeutic intervention with maltreated children

BACKGROUND

Little evidence exists regarding outcomes of therapeutic interventions for maltreated children who are removed from their birth families and then adopted. This study follows on from a previous evaluation of the Neuro-Physiological Psychotherapy (NPP) model, which found significant, positive and sustained post-treatment change.

OBJECTIVE

To compare the outcomes for the NPP intervention group to those of a control group.

PARTICIPANTS AND SETTING

Participants were families who received the NPP intervention and families who, following assessment, did not receive the NPP intervention as recommended.

METHODS

Groups were matched in terms of demographics and presentation at assessment. A comparison of outcomes took place using ANCOVA.

RESULTS

Significant differences were found between group measures of Behavioral Regulation Index (moderate effect size, Cohen's d = .435; F(1, 1505) = 14.476, p = .000) and Global Executive Functioning (BRIEF) (small effect size, Cohen's d = .147; F(1, 3506) = 7.771, p = .008); mental health difficulties common in maltreated children (ACC/ACA) (small effect size, Cohen's D = .212; F(1, 1100) = 6.197, p = .020) and externalizing behavior (CBCL) (small effect size, Cohen's D = .025; F(1, 686) = 5.420, p = .025). A comparison of parent responses on quantitative aspects of a structured interview using chi-square analysis revealed significant differences between the groups on relationship quality (x2 (2, N = 53) = 10.453, p = .005 with a medium effect size, Cramer's V = .444), disruption (x2 (1, N = 54) = 4.998, p = .025. The effect size was medium with Cramer's V = .304), parental separation rates (x2 (1, N = 45) = 9.474, p = .002. The effect size was moderate with Cramer's V = .459) and several indicators for longer-term social inclusion. The results are discussed in the light of the model's neurodevelopmental and sequential approach, which focuses on sensory integration, affect regulation and therapeutic life story work alongside parent and school support.

CONCLUSIONS

Implications regarding current treatment guidelines for this population are discussed; and a call is made for interventions which actively consider and address the neurodevelopmental impact of maltreatment.

White Matter Connectome Edge Density in Children with Autism Spectrum Disorders: Potential Imaging Biomarkers Using Machine-Learning Models

Prior neuroimaging studies have reported white matter network underconnectivity as a potential mechanism for autism spectrum disorder (ASD). In this study, we examined the structural connectome of children with ASD using edge density imaging (EDI), and then applied machine-learning algorithms to identify children with ASD based on tract-based connectivity metrics. Boys aged 8-12 years were included: 14 with ASD and 33 typically developing children. The edge density (ED) maps were computed from probabilistic streamline tractography applied to high angular resolution diffusion imaging. Tract-based spatial statistics was used for voxel-wise comparison and coregistration of ED maps in addition to conventional diffusion tensor imaging (DTI) metrics of fractional anisotropy (FA), mean diffusivity (MD), and radial diffusivity (RD). Tract-based average DTI/connectome metrics were calculated and used as input for different machine-learning models: naïve Bayes, random forest, support vector machines (SVMs), and neural networks. For these models, cross-validation was performed with stratified random sampling ( × 1,000 permutations). The average accuracy among validation samples was calculated. In voxel-wise analysis, the body and splenium of corpus callosum, bilateral superior and posterior corona radiata, and left superior longitudinal fasciculus showed significantly lower ED in children with ASD; whereas, we could not find significant difference in FA, MD, and RD maps between the two study groups. Overall, machine-learning models using tract-based ED metrics had better performance in identification of children with ASD compared with those using FA, MD, and RD. The EDI-based random forest models had greater average accuracy (75.3%), specificity (97.0%), and positive predictive value (81.5%), whereas EDI-based polynomial SVM had greater sensitivity (51.4%) and negative predictive values (77.7%). In conclusion, we found reduced density of connectome edges in the posterior white matter tracts of children with ASD, and demonstrated the feasibility of connectome-based machine-learning algorithms in identification of children with ASD.

An altered scaffold for information processing: Cognitive control development in adolescents with autism

We investigated how cognitive neuroscientific studies during the last decade have advanced understanding of cognitive control from adolescence to young adulthood in individuals with autism spectrum disorder (ASD). To do so, we conducted a selective review of the larger structural, resting state, and diffusion imaging studies of brain regions and networks related to cognitive control that have been conducted since 2007 in individuals with ASD and typical development (TYP) ages 10 to 30 years that examined how these regions and networks support behavioral and task-based fMRI performance on tasks assessing cognitive control during this period. Longitudinal structural studies reveal overgrowth of the anterior cingulate (ACC) and slower white matter development in the parietal cortex in adolescents with ASD versus TYP. Cross-sectional studies of the salience, executive control and default mode resting state functional connectivity networks, which mediate cognitive control, demonstrate patterns of connectivity that differ from TYP through adolescence. Finally, white matter tracts underlying these control-related brain regions continue to show reduced diffusion properties compared to TYP. It is thus not surprising that cognitive control tasks performance improves less during adolescence in ASD versus TYP. This review illustrates that a cognitive neuroscientific approach produces insights about the mechanisms of persistent cognitive control deficits in individuals with ASD from adolescence into young adulthood not apparent with neuropsychological methods alone, and draws attention to the great need for longitudinal studies of this period in those with ASD. Further investigation of ACC and fronto-parietal neural circuits may help specify pathophysiology and treatment options.