1. Briend F, Barantin L, Cléry H, Cottier JP, Bonnet-Brilhault F, Houy-Durand E, Gomot M. Glutamate levels of the right and left anterior cingulate cortex in autistics adults. Progress in neuro-psychopharmacology & biological psychiatry. 2023; 126: 110801.

BACKGROUND: The neurobiology of Autism Spectrum Disorder (ASD) is still unknown. Alteration in glutamate metabolism might translate into an imbalance of the excitation/inhibition equilibrium of cortical networks that in turn are related to autistic symptoms, but previous studies using voxel located in bilateral anterior cingulate cortex (ACC) failed to show abnormalities in total glutamate level. Due to the functional differences in the right and left ACC, we sought to determine whether a difference between right and left ACC glutamate levels could be found when comparing ASD patients and control subjects. METHODS: Using single-voxel proton magnetic resonance spectroscopy ((1)H-MRS), we analyzed the glutamate + glutamine (Glx) concentrations in the left and right ACC of 19 ASD patients with normal IQs and 25 matched control subjects. RESULTS: No overall group differences in Glx were shown, in the left ACC (p = 0.24) or in the right ACC (p = 0.11). CONCLUSIONS: No significant alterations in Glx levels were detected in the left and right ACC in high-functioning autistic adults. In the excitatory/inhibitory imbalance framework, our data reinforce the critical need to analyze the GABAergic pathway, for better understanding of basic neuropathology in autism.

Lien vers le texte intégral (Open Access ou abonnement)

2. da Frota MA, Resegue RM, Colucci A, Micheletti C. Profile of children assisted in a teaching outpatient clinic of developmental disabilities in São Paulo, Brazil. Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo. 2023; 41: e2022005.

OBJECTIVE: To analyze the epidemiological and clinical profile of patients with developmental disabilities followed in a university clinic in Brazil. METHODS: Descriptive, retrospective study, based on medical records. Children aged zero to 18 years with developmental problems, firstly evaluated between 2009 and 2018, were included. Patients with missing data or out of the age and time period established were excluded. There were nine losses and 374 patients constituted the final sample. Linear regression models were performed. RESULTS: The mean age at the first assessment was 52.2±39.7 months and the age when the parents perceived the symptoms was 20.9±23.8 months. The most common impairment was motor associated with language delay (28.3%). The interval between the parents’ perception and the first consultation was associated with the mothers’ education and number of pregnancies. The age at first assessment was associated with the disability type. The number of pregnancies was associated with the child’s age when the parents noticed the symptoms and at the first consultation. CONCLUSIONS: Parents’ recognition of the symptoms occurred early, however, there was a delay until the arrival at the clinic. Higher maternal education was associated with a shorter gap between perception of the developmental disability and consultation. A greater number of pregnancies was associated with a later perception of the developmental delay by the parents as well as a delay in the assessment and a wider interval between them. Motor problems were the most common in younger children, and language complaints in older ones.

Lien vers le texte intégral (Open Access ou abonnement)

3. Godel M, Robain F, Journal F, Kojovic N, Latrèche K, Dehaene-Lambertz G, Schaer M. Prosodic signatures of ASD severity and developmental delay in preschoolers. NPJ digital medicine. 2023; 6(1): 99.

Atypical prosody in speech production is a core feature of Autism Spectrum Disorder (ASD) that can impact everyday life communication. Because the ability to modulate prosody develops around the age of speech acquisition, it might be affected by ASD symptoms and developmental delays that emerge at the same period. Here, we investigated the existence of a prosodic signature of developmental level and ASD symptom severity in a sample of 74 autistic preschoolers. We first developed an original diarization pipeline to extract preschoolers’ vocalizations from recordings of naturalistic social interactions. Using this novel approach, we then found a robust voice quality signature of ASD developmental difficulties in preschoolers. Furthermore, some prosodic measures were associated with one year later outcome in participants who had not acquired speech yet. Altogether, our results highlight the potential benefits of automatized diarization algorithms and prosodic metrics for digital phenotyping in psychiatry, helping clinicians establish early diagnosis and prognosis.

Lien vers le texte intégral (Open Access ou abonnement)

4. Iftimovici A, Marchi A, Férat V, Pruvost-Robieux E, Guinard E, Morin V, Elandaloussi Y, D’Halluin A, Krebs MO, Chaumette B, Gavaret M. EEG microstates imbalance across the spectrum of early psychosis, autism, and mood disorders. European psychiatry : the journal of the Association of European Psychiatrists. 2023: 1-20.

Lien vers le texte intégral (Open Access ou abonnement)

5. Liu S, Wang Y, Song Y. Atypical facial mimicry for basic emotions in children with autism spectrum disorder. Autism research : official journal of the International Society for Autism Research. 2023.

During social encounters, people tend to reproduce the facial expressions of others, termed « facial mimicry, » which is believed to underlie many important social cognitive functions. Clinically, atypical mimicry is closely associated with serious social dysfunction. However, findings regarding the facial mimicry ability of children with autism spectrum disorder (ASD) are inconsistent; it is necessary to test whether deficits in facial mimicry are core defects of autism and explore the potential mechanism underlying this process. Using quantitative analysis, this study investigated voluntary and automatic facial mimicry performance of six basic expressions in children with and without ASD. There was no significant group difference in mimicry accuracy, but children with ASD showed less intensity in voluntary and automatic mimicry than typically developing children; they also presented less voluntary mimicry intensity for happy, sad, and fearful expressions. Performance on voluntary and automatic mimicry was significantly correlated with the level of autistic symptoms (r >-.43) and theory of mind (r >.34). Furthermore, theory of mind mediated the relationship between autistic symptoms and the intensity of facial mimicry. These results suggest that individuals with ASD show atypical facial mimicry (i.e., less intensity for both voluntary and automatic mimicry, mainly for voluntary mimicry of happiness, sadness, and fear), which might offer a potential cognitive marker for quantifying syndrome manifestations in children with ASD. These findings suggest that theory of mind plays a mediating role in facial mimicry, which may provide insight into the theoretical mechanism of social dysfunction in children with autism.

Lien vers le texte intégral (Open Access ou abonnement)

6. Menaka R, Karthik R, Saranya S, Niranjan M, Kabilan S. An Improved AlexNet Model and Cepstral Coefficient-Based Classification of Autism Using EEG. Clinical EEG and neuroscience. 2023: 15500594231178274.

Autism is a neurodevelopmental disorder that cannot be completely cured, but early intervention during childhood can improve outcomes. Identifying autism spectrum disorder (ASD) has relied on subjective detection methods that involve questionnaires, medical professionals, and therapists and are subject to observer variability. The need for early diagnosis and the limitations of subjective detection methods has led researchers to explore machine learning-based approaches, such as Random Forests, K-Nearest Neighbors, Naive Bayes, and Support Vector Machines, to predict ASD meltdowns. In recent years, deep learning techniques have gained traction for early ASD detection. This study evaluates the performance of various deep learning networks, including AlexNet, VGG16, and ResNet50, using 5 cepstral coefficient features for ASD detection. The main contributions of this study are the utilization of Cepstral Coefficients in the processing stage to construct spectrograms and the modification of the AlexNet architecture for precise classification. Experimental observations indicate that the AlexNet with Linear Frequency Cepstral Coefficients (LFCC) yields the highest accuracy of 85.1%, while a customized AlexNet with LFCC achieves 90% accuracy.

Lien vers le texte intégral (Open Access ou abonnement)

7. Moon J, Ke F. Effects of Adaptive Prompts in Virtual Reality-Based Social Skills Training for Children with Autism. Journal of autism and developmental disorders. 2023.

The purpose of this single-case experimental design (SCED) study is to investigate how adaptive prompts in virtual reality (VR)-based social skills training affect the social skills performance of autistic children. Adaptive prompts are driven by autistic children’s emotional states. To integrate adaptive prompts in VR-based training, we conducted speech data mining and endorsed micro-adaptivity design. We recruited four autistic children (12-13 years) for the SCED study. We carried out alternating treatments design to evaluate the impacts of adaptive and non-adaptive prompting conditions throughout a series of VR-based social skills training sessions. Using mixed-method data collection and analyses, we found that adaptive prompts can foster autistic children’s desirable social skills performance in VR-based training. Based on the study findings, we also describe design implications and limitations for future research.

Lien vers le texte intégral (Open Access ou abonnement)

8. Taheri F, Joushi S, Esmaeilpour K, Sheibani V, Ebrahimi MN, Taheri Zadeh Z. Music alleviates cognitive impairments in an animal model of autism. International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience. 2023.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by core symptoms including impairment in social communication and restrictive and repetitive behaviors and interests. Music has emerged in the past decade as an intervention therapy for children with ASD. The aim of the present study was to evaluate the effects of music on cognition impairments in the valproic acid (VPA) rat model of autism. The VPA was administered for animal modeling of autism on embryonic day 12.5 (E12.5) (600 mg/kg). Male and female pups were sub divided into four main groups (Saline.Non-music, VPA.Non-music, Saline.Music, and VPA.Music). The rats in the music groups were exposed to Mozart’s piano sonata K.448 for 30 days (4 h/day), from postnatal day (PND) 21 to 50. Autistic-like behaviors were tested using a social interaction, the Morris water maze (MWM), and a passive avoidance tasks at the end of the PND 50. Our results demonstrated that VPA-exposed rat pups had significantly lower sociability and social memory performance compared with the saline-exposed rats in both sexes. VPA-exposed rat pups exhibited learning and memory impairments in the MWM and passive avoidance tasks. Our results demonstrated that music improved sociability in VPA-exposed rats, especially in males. Furthermore, our findings revealed that music improved learning impairments in VPA-exposed male rats in MWM task. In addition, music improved spatial memory impairments in VPA-exposed rats of both sexes. We also found that music improved passive avoidance memory impairments in VPA-exposed rats of both sexes, especially in females. More investigation in future studies are needed.

Lien vers le texte intégral (Open Access ou abonnement)

9. Tokatly Latzer I, Hanson E, Bertoldi M, García-Cazorla À, Tsuboyama M, MacMullin P, Rotenberg A, Roullet JB, Pearl PL. Autism spectrum disorder and GABA levels in children with succinic semialdehyde dehydrogenase deficiency. Developmental medicine and child neurology. 2023.

AIM: To elucidate the etiological aspects of autism spectrum disorder (ASD) in succinic semialdehyde dehydrogenase deficiency (SSADHD), related to dysregulation of γ-aminobutyric acid (GABA) and the imbalance of excitatory and inhibitory neurotransmission. METHOD: In this prospective, international study, individuals with SSADHD underwent neuropsychological assessments, as well as biochemical, neurophysiological, and neuroimaging evaluations. RESULTS: Of the 29 individuals (17 females) enrolled (median age [IQR] 10 years 5 months [5 years 11 months-18 years 1 month]), 16 were diagnosed with ASD. ASD severity significantly increased with age (r = 0.67, p < 0.001) but was inversely correlated with plasma GABA (r = -0.67, p < 0.001) and γ-hydroxybutyrate levels (r = -0.538, p = 0.004), and resting motor threshold as measured by transcranial magnetic stimulation (r = -0.44, p = 0.03). A discriminative analysis indicated that an age older than 7 years 2 months (p = 0.004) and plasma GABA levels less than 2.47 μM (p = 0.01) are the threshold values beyond which the likelihood of ASD presenting in individuals with SSADHD is increased. INTERPRETATION: ASD is prevalent but not universal in SSADHD, and it can be predicted by lower levels of plasma GABA and GABA-related metabolites. ASD severity in SSADHD increases with age and the loss of cortical inhibition. These findings add insight into the pathophysiology of ASD and may facilitate its early diagnosis and intervention in individuals with SSADHD.

Lien vers le texte intégral (Open Access ou abonnement)

10. Unruh KE, Bartolotti JV, McKinney WS, Schmitt LM, Sweeney JA, Mosconi MW. Functional connectivity of cortical-cerebellar networks in relation to sensorimotor behavior and clinical features in autism spectrum disorder. Cerebral cortex (New York, NY : 1991). 2023.

Sensorimotor issues are present in the majority of individuals with autism spectrum disorder (ASD) and are associated with core symptoms. The neural systems associated with these impairments remain unclear. Using a visually guided precision gripping task during functional magnetic resonance imaging, we characterized task-based connectivity and activation of cortical, subcortical, and cerebellar visuomotor networks. Participants with ASD (n = 19; ages 10-33) and age- and sex-matched neurotypical controls (n = 18) completed a visuomotor task at low and high force levels. Relative to controls, individuals with ASD showed reduced functional connectivity of right primary motor-anterior cingulate cortex and left anterior intraparietal lobule (aIPL)-right Crus I at high force only. At low force, increased caudate, and cerebellar activation each were associated with sensorimotor behavior in controls, but not in ASD. Reduced left aIPL-right Crus I connectivity was associated with more severe clinically rated ASD symptoms. These findings suggest that sensorimotor problems in ASD, particularly at high force levels, involve deficits in the integration of multimodal sensory feedback and reduced reliance on error-monitoring processes. Adding to literature positing that cerebellar dysfunction contributes to multiple developmental issues in ASD, our data implicate parietal-cerebellar connectivity as a key neural marker underlying both core and comorbid features of ASD.

Lien vers le texte intégral (Open Access ou abonnement)

11. Yardimci A, Ertugrul NU, Ozgen A, Ozbeg G, Ozdede MR, Ercan EC, Canpolat S. Effects of chronic irisin treatment on brain monoamine levels in the hypothalamic and subcortical nuclei of adult male and female rats: An HPLC-ECD study. Neuroscience letters. 2023; 806: 137245.

Monoaminergic systems are known to be involved in the pathophysiology of neuropsychiatric disorders and vegetative functions due to their established influence on hypothalamic and subcortical areas. These systems can be modulated by lifestyle factors, especially exercise, which is known to produce several beneficial effects on reproduction, brain health, and mental disorders. The fact that exercise is sensed by the brain shows that muscle-stimulated secretion of myokines allows direct crosstalk between the muscles and the brain. One of such exercise-induced beneficial effects on the brain is exhibited by irisin-a recently discovered PGC-1α-dependent adipo-myokine mainly secreted from skeletal muscle during exercise. Thus, we hypothesized that irisin may affect central monoamine levels and thus play an important role in the muscle-brain endocrine loop. To test this assertion, for 10 weeks, vehicle (deionized water) or 100 ng/kg irisin was injected intraperitoneally once a day to 12 male and 12 female rats after which the levels of monoamines and their metabolites were determined by HPLC-ECD. In the hypothalamic nuclei, irisin significantly decreased dopamine (DA) metabolite 3,4-dihydroxyphenylacetic acid (DOPAC) (p < 0.05), DOPAC/DA ratio (p < 0.01) and noradrenaline (NA, p < 0.05) levels in the anteroventral periventricular nucleus (AVPV), and DOPAC and NA levels in the medial preoptic area (mPOA) (p < 0.05), having a crucial role in reproduction and sexual motivation, respectively. On the other hand, irisin significantly increased DOPAC levels in the lateral hypothalamic area (LHA) (p < 0.05), which acts as a hunger center, while it significantly decreased the levels of DA, NA, and its metabolite 3,4-dihydroxyphenylglycol (DHPG) in the ventromedial hypothalamic nucleus (VMH) as a known satiety center (p < 0.05). In nucleus accumbens (NaC), irisin significantly reduced 5-hydroxyindoleacetic acid (5-HIAA) levels (p < 0.05), which are implicated in autism spectrum disorder (ASD) physiopathology. It also significantly increased DA levels in this area, thus exhibiting positive effects on depression and sexual dysfunction in men. On the other hand, it significantly decreased serotonin (5-HT) (p < 0.01) and its metabolite 5-HIAA levels in the medial amygdala (MeA) (p < 0.05), indicating that it may play a role in social behaviors. Moreover, it significantly attenuated NA levels in the same subcortical area (p < 0.01), which is directly involved in stress-induced activation of the central noradrenergic system. These findings demonstrate for the first time that irisin induces significant changes in monoamine levels in many hypothalamic nuclei involved in feeding behavior and vegetative functions, as well as in subcortical nuclei related to neuropsychiatric disorders.

Lien vers le texte intégral (Open Access ou abonnement)

12. Yu Y, Ozonoff S, Miller M. Assessment of Autism Spectrum Disorder. Assessment. 2023: 10731911231173089.

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by challenges in social interaction and communication and the presence of restricted interests and repetitive behaviors. The importance of early detection of ASD and subsequent early intervention is well documented. Efforts have been made over the years to clarify ASD diagnostic criteria and develop predictive, accurate screening tools and evidence-based, standardized diagnostic instruments to aid in the identification of ASD. In this article, we review the most recent changes in ASD diagnostic criteria in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision, summarize evidence-based instruments for ASD screening and diagnostic evaluations as well as the assessment of co-occurring conditions in ASD, the impact of COVID-19 on ASD assessment, and directions for future research in the field of ASD assessment.

Lien vers le texte intégral (Open Access ou abonnement)

13. Zehra A, Altaf H. Autism spectrum disorder related to unwarranted paracetamol use in pregnancy. JPMA The Journal of the Pakistan Medical Association. 2022; 72(12): 2578-9.

Lien vers le texte intégral (Open Access ou abonnement)

14. Zhang S, Li H, Li H, Zhao S. The effect of autistic traits on prosocial behavior: The chain mediating role of received social support and perceived social support. Autism : the international journal of research and practice. 2023: 13623613231177776.

Autistic traits are known to be associated with a set of core symptoms of autism spectrum disorder. The impact of autistic traits on prosocial behavior, including a consideration of the role of social support, has never been explored. We investigated whether and how social support mediates the autistic trait-prosocial behavior relationship. We found that autistic traits can influence prosocial behavior not only through received social support and perceived social support but also indirectly through the chain mediating effects of received social support and perceived social support. This study contributes to the understanding of how and to what extent prosocial behavior is influenced by autistic traits. Future work is required to further investigate the clinical autism spectrum disorder samples and cross-cultural applicability of the model found in this study.

Lien vers le texte intégral (Open Access ou abonnement)