1. Ani F, Ayres EW, Soroceanu A, Mundis GM, Smith JS, Gum JL, Daniels AH, Klineberg EO, Ames CP, Bess S, Shaffrey CI, Schwab FJ, Lafage V, Protopsaltis TS. Functional Alignment Within the Fusion in Adult Spinal Deformity (ASD) Improves Outcomes and Minimizes Mechanical Failures. Spine. 2023.

STUDY DESIGN: Retrospective review of an adult deformity database. OBJECTIVE: To identify Pelvic Incidence (PI) and age-appropriate physical function alignment targets using a component angle of T1- Pelvic Angle (TPA) within the fusion to define correction and their relationship to proximal junctional kyphosis (PJK) and clinical outcomes. SUMMARY OF BACKGROUND DATA: In preoperative planning, a patient’s PI is often utilized to determine alignment target. In a trend toward more patient specific planning, age-specific alignment has been shown to reduce the risk of mechanical failures. PI and age have not been analyzed with respect to defining a functional alignment. METHODS: A database of patients with operative adult spinal deformity (ASD) was analyzed. Patients fused to the pelvis and upper-instrumented vertebrae (UIV) above T11 were included. Alignment within the fusion correlated with clinical outcomes and PI. Short form 36-physical Component score (SF36-PCS) normative data and PI were used to compute functional alignment for each patient. Over-, under-, and functionally corrected groups were determined using T10-pelvic angle (T10PA). RESULTS: 1052 patients met inclusion criteria. T10PA correlated with SF36-PCS and PI (R=0.601). At 6 weeks, 40.7% were functionally corrected, 39.4% were overcorrected, and 20.9% were under-corrected. The PJK incidence rate was 13.6%. Overcorrected patients had the highest PJK rate (18.1%) compared with functionally (11.3%) and under-corrected (9.5%) patients (P<0.05). Overcorrected patients had a trend toward more PJK revisions. All groups improved in HRQL; however, under-corrected patients had the worst 1-year SF36-PCS offset relative to normative patients of equivalent age (-8.1) vs. functional (-6.1) and overcorrected (-4.5), P<0.05. CONCLUSIONS: T10PA was used to determine functional alignment, an alignment based on PI and age-appropriate physical function. Correcting patients to functional alignment produced improvements in clinical outcomes, with the lowest rates of PJK. This patient specific approach to spinal alignment provides ASD correction targets that can be used intraoperatively.

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2. Hollocks MJ, McQuaid GA, Yerys BE, Strang JF, Anthony LG, Kenworthy L, Lee NR, Wallace GL. Measuring flexibility in autistic adults: Exploring the factor structure of the flexibility scale self report. Autism research : official journal of the International Society for Autism Research. 2023.

Cognitive flexibility differences are common for autistic individuals and have an impact on a range of clinical outcomes. However, there is currently a lack of well validated measurement tools to assess flexibility in adulthood. The Flexibility Scale was originally designed as a parent-report measure of real-world flexibility challenges in youth. The original Flexibility Scale provides a total score and five subscales: Routines and Rituals, Transitions and Change, Special Interests, Social Flexibility, and Generativity. In this study, we evaluate the factorial validity of the Flexibility Scale as a self-report (Flexibility Scale Self Report) measure of cognitive flexibility, adapted from the original Flexibility Scale, for use by autistic adults. This study includes both a primary sample (n = 813; mean age = 40.3; 59% female) and an independently recruited replication sample (n = 120; mean age = 32.8; 74% female) of individuals who completed the Flexibility Scale Self Report. The analysis consisted of an initial confirmatory factor analysis (CFA) of the original Flexibility Scale structure, followed by exploratory factor analysis (EFA) and factor optimization within a structural equation modeling framework to identify the optimal structure for the questionnaire in adults. The identified structure was then replicated through CFA in the replication sample. Our results indicate an alternative optimal scale structure from the original Flexibility Scale, which includes fewer items, and only three (Routines/Rituals, Transitions and Change, Special Interests) of the five subscales contributing to the flexibility total score. Comparisons revealed no structural differences within the scale based on sex assigned at birth. Here the Generativity and Social Flexibility scales are treated as independent but related scales. The implications for measurement of cognitive flexibility in clinical and research settings, as well as theoretical underpinnings are discussed.

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3. Li L, Pasco G, Ali JB, Johnson MH, Jones EJH, Charman T. Associations between early language, motor abilities, and later autism traits in infants with typical and elevated likelihood of autism. Autism research : official journal of the International Society for Autism Research. 2023.

Slower acquisition of language and motor milestones are common in infants with later autism and studies have indicated that motor skills predict the rate of language development, suggesting these domains of development may be interlinked. However, the inter-relationships between the two domains over development and emerging autistic traits are not fully established. We studied language and motor development using standardized observational and parent-report measures in infants with (n = 271) and without (n = 137) a family history of autism across four waves of data collection from 10 to 36 months. We used Random Intercept Cross-Lagged Panel Models to examine contemporaneous and longitudinal associations between language and motor developments in both elevated and typical likelihood groups. We estimated paths between language and motor abilities at 10, 14, 24, and 36 months and autism trait scores at 36 months, to test whether the domains were interrelated and how they related to emerging autism traits. Results revealed consistent bidirectional Expressive Language (EL) and Fine Motor (FM) cross-lagged effects from 10 to 24 and a unidirectional EL to FM effect from 24 to 36 months as well as significantly correlated random intercepts between Gross motor (GM) and Receptive language (RL), indicating stable concurrent associations over time. However, only the associations between GM and RL were associated with later autism traits. Early motor and language are linked, but only gross motor and receptive language are jointly associated with autistic traits in infants with an autism family history.

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4. Muniandy M, Richdale AL, Lawson LP. Stress and well-being in autistic adults: Exploring the moderating role of coping. Autism research : official journal of the International Society for Autism Research. 2023.

The wider stress literature points to negative associations between stress and well-being. Similarly, the use of engagement coping strategies and disengagement coping strategies in the face of stress are related to improved and reduced well-being respectively. However, in the autistic population stress and coping research is limited to date, and the extent to which coping may moderate the relationship between stress and well-being is not known. Using data from an Australian online study, we explored the potential moderating (i.e. buffering or exacerbating) role of coping in the relationship between stress and well-being in a sample of autistic adults (N = 86). Our findings indicated that increased stress was associated with lower well-being. Further, moderation analyses showed that while both engagement coping (e.g. problem solving, positive appraisal) and disengagement coping (e.g., self-distraction, being in denial) strategies had significant positive and negative direct effects on well-being respectively; engagement coping also moderated the relationship between stress and well-being, buffering the impact of stress on well-being. Our results illustrate the different underlying mechanisms by which coping strategies may be associated with stress and well-being. They also highlight the potential protective role of engagement coping strategies, which can be incorporated into the promotion and maintenance of well-being in autistic adults.

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5. Nagda R, Le T, Lin B, Tanbonliong T. Oral hygiene practice and home-care challenges in children with autism spectrum disorder in San Francisco: Cross- sectional study. Special care in dentistry : official publication of the American Association of Hospital Dentists, the Academy of Dentistry for the Handicapped, and the American Society for Geriatric Dentistry. 2023.

INTRODUCTION: Autism spectrum disorder (ASD) is characterized by challenges in social interaction, communication, and stereotypical patterns of behavior. They are more likely to have tooth brushing issues and need help with routine dental care. Children with ASD could face difficulty in accessing dental care as the parents have a challenging task in finding a dentist that would treat the child with special needs. As a result, dental care is often neglected. The aims of this study are to evaluate oral hygiene practices and challenges in children with ASD and compare it with typically developing peers (TDP). METHOD: The sample size of the study was 60. Parents of children aged 3-10 were recruited and divided in 2 groups with 30 in each group. Age and gender of children were matched. ASD group included children with medical diagnosis of ASD only and no other co-morbidities. Children in TDP group had no diagnosis of ASD, and reported no disability, or any other diagnosis. Parents were asked to complete the questionnaire which asked about their demographic information, child’s oral care regimens, and their knowledge about dental care. Chi-squared tests and t-test were used for statistical analysis. A p-value of .05 was used for determining statistical significance. RESULTS: Many children with ASD (47%) had to travel more than 20 miles for their dental home compared to 13% with TDP (p < .05). Only 60% of children with ASD brushed twice a day with 70% of parents reporting that it is difficult to brush their child's teeth compared to TDP with 93% of children brush twice daily (p < .05). Significantly a smaller number of children with ASD (47%) allowed their parent to brush their teeth as compared to 93% of TSD children (p < .001). CONCLUSION: Parents of children with autism spectrum disorder travel longer distance to find a dental home and face more difficulty in maintaining their child's daily oral hygiene.

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6. Wang M, Guo J, Wang Y, Yu M, Guo J. Multimodal Autism Spectrum Disorder Diagnosis Method Based on DeepGCN. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 2023; Pp.

Multimodal data play an important role in the diagnosis of brain diseases. This study constructs a whole-brain functional connectivity network based on functional MRI data, uses non-imaging data with demographic information to complement the classification task for diagnosing subjects, and proposes a multimodal and across-site WL-DeepGCN-based method for classification to diagnose autism spectrum disorder (ASD). This method is used to resolve the existing problem that deep learning ASD identification cannot efficiently utilize multimodal data. In the WL-DeepGCN, a weight-learning network is used to represent the similarity of non-imaging data in the latent space, introducing a new approach for constructing population graph edge weights, and we find that it is beneficial and robust to define pairwise associations in the latent space rather than the input space. We propose a graph convolutional neural network residual connectivity approach to reduce the information loss due to convolution operations by introducing residual units to avoid gradient disappearance and gradient explosion. Furthermore, an EdgeDrop strategy makes the node connections sparser by randomly dropping edges in the raw graph, and its introduction can alleviate the overfitting and oversmoothing problems in the DeepGCN training process. We compare the WL-DeepGCN model with competitive models based on the same topics and nested 10-fold cross-validation show that our method achieves 77.27% accuracy and 0.83 AUC for ASD identification, bringing substantial performance gains.

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