Short report: Behavioural characterisation of SOX11 syndrome.

BACKGROUND: SOX11 syndrome is a rare condition caused by deletions or de novo point mutations of the SOX11 gene. SOX11 is a transcription factor gene that plays an important role in brain development. AIMS: The aim of this study was to quantitatively evaluate the behavioural profiles of individuals with SOX11 syndrome. METHODS AND PROCEDURES: The Vineland Adaptive Behaviour Scales 3 (VABS-3) and the Social Responsiveness Scale 2 (SRS-2) were completed by parents of 21 children and young adults with SOX11 syndrome. OUTCOMES AND RESULTS: Most were found to have borderline (33 %) or mild (39 %) impairment in adaptive behaviour, with more difficulties in communication and daily living than socialisation in the cohort overall. Most (90 %) were found to exhibit clinically relevant levels of autistic traits, with 62 % scoring in the "severe" range, though social motivation was observed to be a relative strength in the cohort overall. CONCLUSIONS AND IMPLICATIONS: This study presents the first standardised evaluation of adaptive behaviour and autistic traits of individuals with SOX11 syndrome. This will improve clinicians, educators and parents' understanding of SOX11 syndrome.

Sensory processing in Sotos syndrome and Tatton-Brown-Rahman Syndrome.

Sotos syndrome (Sotos) and Tatton-Brown-Rahman Syndrome (TBRS) are two of the most common overgrowth disorders associated with intellectual disability. Individuals with these syndromes tend to have similar cognitive profiles and high likelihood of autism symptomatology. However, whether and how sensory processing is affected is currently unknown. Parents/caregivers of 36 children with Sotos and 20 children with TBRS completed the Child Sensory Profile-2 (CSP-2) and the Sensory Behavior Questionnaire (SBQ) along with other standardized questionnaires assessing autistic traits (Social Responsiveness Scale, Second Edition, SRS-2), attention deficit hyperactivity disorder (ADHD) traits (Conners 3), anxiety (Spence Children's Anxiety Scale, Parent Version, SCAS-P), and adaptive behavior (Vineland Adaptive Behavior Scales Third Edition). Sensory processing differences were clearly evident in both syndromes, though there was significant variation in both cohorts. SBQ data indicated that both the frequency and impact of sensory behavior were more severe when compared to neurotypicals, with levels of sensory behavior impact and frequency being similar to autistic children. CSP-2 data indicated 77% of children with Sotos and 85% children with TBRS displayed clear differences in sensory Registration (missing sensory input). Clear differences relating to Body Position (proprioceptive response to joint and muscle position; 79% Sotos; 90% TBRS) and Touch (somatosensory response to touch on skin; 56% Sotos; 60% TBRS) were also particularly prevalent. Correlation analyses demonstrated that in both syndromes sensory processing differences tend to be associated with difficulties relating to autistic traits, anxiety, and some domains of ADHD. In Sotos, sensory processing differences were also associated with lower adaptive behavior skills. This first detailed assessment of sensory processing, alongside other clinical features, in relatively large cohorts of children with Sotos and TBRS, demonstrates that sensory processing differences have a profound impact on everyday life. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Sensory processing in 16p11.2 deletion and 16p11.2 duplication.

Deletions and duplications at the chromosomal region of 16p11.2 have a broad range of phenotypic effects including increased likelihood of intellectual disability, autism, attention deficit hyperactivity disorder (ADHD), epilepsy, and language and motor delays. However, whether and how sensory processing is affected has not yet been considered in detail. Parents/caregivers of 38 children with a 16p11.2 deletion and 31 children with a 16p11.2 duplication completed the Sensory Behavior Questionnaire (SBQ) and the Child Sensory Profile 2 (CSP-2) along with other standardized questionnaires assessing autistic traits (SRS-2), ADHD traits (Conners 3), anxiety (SCAS-P) and adaptive behavior (VABS-3). SBQ and CSP-2 responses found that sensory processing differences were clearly evident in both 16p11.2 deletion and 16p11.2 duplication, though there was significant variation in both cohorts. SBQ data indicated the frequency and impact of sensory behavior were more severe when compared to neurotypical children, with levels being similar to autistic children. CSP-2 data indicated over 70% of children displayed clear differences in sensory registration (missing sensory input). Seventy-one percent with 16p11.2 duplications were also unusually sensitive to sensory information and 57% with 16p11.2 duplications were unusually avoidant of sensory stimuli. This first detailed assessment of sensory processing, alongside other clinical features, in relatively large cohorts of children with a 16p11.2 deletion and 16p11.2 duplication demonstrates that sensory processing differences have a profound impact on their lives.

SOX11 variants cause a neurodevelopmental disorder with infrequent ocular malformations and hypogonadotropic hypogonadism and with distinct DNA methylation profile.

PURPOSE: This study aimed to undertake a multidisciplinary characterization of the phenotype associated with SOX11 variants. METHODS: Individuals with protein altering variants in SOX11 were identified through exome and genome sequencing and international data sharing. Deep clinical phenotyping was undertaken by referring clinicians. Blood DNA methylation was assessed using Infinium MethylationEPIC array. The expression pattern of SOX11 in developing human brain was defined using RNAscope. RESULTS: We reported 38 new patients with SOX11 variants. Idiopathic hypogonadotropic hypogonadism was confirmed as a feature of SOX11 syndrome. A distinctive pattern of blood DNA methylation was identified in SOX11 syndrome, separating SOX11 syndrome from other BAFopathies. CONCLUSION: SOX11 syndrome is a distinct clinical entity with characteristic clinical features and episignature differentiating it from BAFopathies.

Spontaneous neural activity relates to psychiatric traits in 16p11.2 CNV carriers: An analysis of EEG spectral power and multiscale entropy.

Copy number variations (CNV) at the 16p11.2 chromosomal region are rare high-risk CNVs associated with various clinical features and psychiatric disorders including intellectual disability, developmental delays, and autism spectrum disorder. No study to date has investigated whether spontaneous neural activity is altered for 16p11.2 CNV carriers and whether this relates to psychiatric traits. The aim of this study is to examine the impact of 16p11.2 deletions (del) and duplications (dup) on spontaneous neural activity and its relationship to psychiatric problems. EEG was previously collected as part of the Simons Searchlight initiative. Using spectral power (delta, theta, alpha, and beta frequency bands), complexity index (CI), and multiscale entropy analysis techniques, we analyzed frontal resting-state EEG data collected from 22 16p11.2 del carriers, 14 dup carriers, and 13 controls. We then examined associations between neural activity and psychiatric traits, measured with the Child Behavior Checklist. Results indicated that EEG entropy was higher for del and dup compared to controls, respectively, at all timescales. CI was also higher for del and dup compared to controls. Theta power of 16p11.2 dup carriers was higher than controls. A strong association was found between entropy at higher timescales and anxiety problems. In addition, a strong correlation was found between theta power and pervasive developmental problems. Atypical spontaneous neural activity is implicated in 16p11.2 CNVs. With higher entropy or theta power, psychiatric traits increase in severity. Our findings provide evidence of the link between genotype, neural activity, and phenotypes in 16p11.2 CNVs.

Atypical neural variability in carriers of 16p11.2 copy number variants.

Copy number variations (CNVs) at the 16p11.2 chromosomal region are associated with myriad clinical features including intellectual disability and autism spectrum disorder. The aim of this study is to determine whether 16p11.2 deletion (DEL) and duplication (DUP) carriers demonstrate a distinct and reciprocal pattern of electroencephalography (EEG) activity as represented by neural variability measures. EEG data were previously collected as part of the Simons Variation in Individuals Project. Variability measures, as estimated by single-trial ERP and spectral power analyses in the alpha and beta frequency bands, in addition to signal-to-noise ratios (SNRs), were analyzed in DEL (n = 20), DUP (n = 8), and typical (n = 11) groups. We also analyzed mean visual evoked potentials and spectral power (alpha and beta power) to facilitate comparisons with other studies of associated disorders and CNVs. From measures of single-trial variability, we found higher intraparticipant variability in P1 amplitude and timecourse amplitude in DEL compared to controls. Compared to DUP, DEL showed higher variability in absolute alpha and absolute beta power but lower variability in P1 latency. SNRs did not differ between the groups. From measures of amplitude, latency, and spectral power, DUP showed lower relative alpha power compared to controls. Although it is yet unclear whether 16p11.2 CNV dosage impacts neural activity in an opposing manner, findings suggest that 16p11.2 DEL impacts the level of variability of neural responses. Higher neural variability may play a role in a range of cognitive processes in 16p11.2 CNV carriers. Autism Res 2019, 12: 1322-1333. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: The study analyzed the consistency of patterns of brain waves and rhythms in those affected with a loss or gain of DNA material in the 16p11.2 region. Compared with typical individuals, 16p11.2 deletion carriers showed greater inconsistency in the way the brain responds to the same visual event. This high inconsistency in brain activity may play a role in some core symptoms in 16p11.2 copy number variation carriers.

Resources available for autism research in the big data era: a systematic review.

Recently, there has been a move encouraged by many stakeholders towards generating big, open data in many areas of research. One area where big, open data is particularly valuable is in research relating to complex heterogeneous disorders such as Autism Spectrum Disorder (ASD). The inconsistencies of findings and the great heterogeneity of ASD necessitate the use of big and open data to tackle important challenges such as understanding and defining the heterogeneity and potential subtypes of ASD. To this end, a number of initiatives have been established that aim to develop big and/or open data resources for autism research. In order to provide a useful data reference for autism researchers, a systematic search for ASD data resources was conducted using the Scopus database, the Google search engine, and the pages on 'recommended repositories' by key journals, and the findings were translated into a comprehensive list focused on ASD data. The aim of this review is to systematically search for all available ASD data resources providing the following data types: phenotypic, neuroimaging, human brain connectivity matrices, human brain statistical maps, biospecimens, and ASD participant recruitment. A total of 33 resources were found containing different types of data from varying numbers of participants. Description of the data available from each data resource, and links to each resource is provided. Moreover, key implications are addressed and underrepresented areas of data are identified.

Variability of cortical oscillation patterns: A possible endophenotype in autism spectrum disorders?

Autism spectrum disorders (ASD) have been associated with altered neural oscillations, especially fast oscillatory activity in the gamma frequency range, suggesting fundamentally disturbed temporal coordination of activity during information processing. A detailed review of available cortical oscillation studies in ASD does not convey a clear-cut picture with respect to dysfunctional oscillation patterns in the gamma or other frequency ranges. Recent evidence suggests that instead of a general failure to activate or synchronize the cortex, there is greater intra-participant variability across behavioral, fMRI and EEG responses in ASD. Intra-individual fluctuations from one trial to another have been largely ignored in task-related neural oscillation studies of ASD, which instead have focused on mean changes in power. We highlight new avenues for the analysis of cortical oscillation patterns in ASD which are sensitive to trial-to-trial variability within the participant, in order to validate the significance of increased response variability as possible endophenotype of the disorder.