Spectrum Conditions Research Articles

Impact of early-age vibration on the permeability and microstructure of mature-age concrete

Dynamic excitation in early-age significantly impacts the performances of mature concrete in underground structures, such as tunnels beneath railways supported by cast-in-place concrete. This study explores the impact of early dynamic excitation on properties of mature concrete. Vibration tests at a fundamental frequency of 114Hz, with peak acceleration levels ranging from 0.1g to 0.4g, were conducted using shaking table. Specimens underwent 33seconds of dynamic excitation every 15minutes over the initial 48hours, excluding a night break from 0-6am, totaling 114 vibration cycles. Various lab tests were employed to assess the properties and microstructure of mature concrete post-vibration, including water penetration resistance, capillary water absorption, Coulomb electric flux, scanning electron microscopy (SEM), mercury intrusion porosimetry (MIP) and Nitrogen adsorption-desorption measurement (NAM). The results proves that vibration causes water secretion and air bubbles discharge before the initial setting of concrete, thereby enhancing the hydration reaction. The relationship between vibration loads with varying peak accelerations and the cohesion resulting from hydration reaction influences the microstructural evolution of concrete, leading to the weakening and strengthening of permeability of mature concrete. Under the vibration spectrum and test conditions described in this paper, vibration loads with peak values less than 0.234g decrease the total volume of large and middle pores (>20nm) by up to 50% and increase the total volume of small pores (<20nm) by up to 200%. Due to these changes in pore structure, the permeability coefficient (Sk), cumulative capillary water height (i) and Coulomb electric flux decrease by up to 47.84%, 39.5% and 31.6%, respectively. However, when the amplitudes of vibration loads exceed 0.234g, the total volume of large and medium pores (>20nm) increases, and that of small pores (<20nm) decreases, leading to a reduction of the impermeability of mature concrete. Additionally, the SEM analysis corroborates these microstructural variations.

Maternal Risk Conditions and Outcomes by Levels of Maternal Care.

Objectives: To (1) determine associations between maternal risk conditions and severe adverse outcomes that may benefit from risk-appropriate care and (2) assess whether associations between risk conditions and outcomes vary by level of maternal care (LoMC). Methods: We used the 2017-2019 National Inpatient Sample (NIS) to calculate associations between maternal risk conditions and severe adverse outcomes. Risk conditions included severe preeclampsia, placenta accreta spectrum (PAS) conditions, and cardiac conditions. Outcomes included disseminated intravascular coagulation (DIC) with blood products transfusion or shock, pulmonary edema or acute respiratory distress syndrome (ARDS), stroke, acute renal failure, and a composite cardiac outcome. Then we used 2019 delivery hospitalization data from five states linked to hospital LoMC. We calculated associations between risk conditions and outcomes overall and stratified by LoMC and assessed for effect modification by LoMC. Results: We found positive measures of association between risk conditions and outcomes. Among patients with severe preeclampsia or PAS, the magnitudes of the associations with DIC with blood products transfusion or shock, pulmonary edema or ARDS, and acute renal failure were lower in Level III/IV compared with <Level III facilities. Among patients with cardiac conditions, the magnitudes of the associations with these outcomes, along with stroke, were also lower in Level III/IV compared with <Level III facilities. The proportion of patients with risk conditions that delivered in <Level III facilities was 19.8-46.8%. Conclusions: Odds of severe adverse outcomes among women with selected risk conditions were lower for births occurring at higher-level facilities, supporting the benefit of risk-appropriate care.

A review of deep learning techniques for enhancing spectrum sensing and prediction in cognitive radio systems: approaches, datasets, and challenges

Cognitive radio (CR) is an emerging wireless technology designed to optimize frequency band usage and address spectrum shortages. Spectrum sensing and prediction are crucial for cognitive radios to make intelligent spectrum access decisions and dynamically alter transmission parameters based on real-time spectrum conditions. These techniques contribute to the efficient use of the spectrum. However, they encounter significant obstacles such as noise uncertainty, low signal-to-noise ratios, channel fading, and more, necessitating robust and intelligent solutions. Deep learning has attracted much attention and displayed great potential in various fields in recent years. This review paper provides a thorough examination of the use of deep learning techniques in spectrum sensing and prediction in the context of cognitive radio. It examines the available literature in depth, highlighting the techniques, the assessment keys, datasets, and limitations of the investigations. The article seeks to provide significant insights and guidance for future developments in harnessing deep learning for better cognitive radio spectrum management by critically assessing the present state of research.

Exploring divergent kinematics in autism across social and non-social vitality forms

Vitality Forms (VFs) constitute the dynamic essence of human actions, providing insights into how individuals engage in activities. The ability to perceive and express VFs during interpersonal interactions is pivotal for understanding others’ intentions, behaviors, and fostering effective social communication. Despite their ubiquity in all actions, research exploring the role of VFs in neurodivergent conditions related to social and communicative skills, particularly in autism, remains limited. This study aims to investigate the expression of different VFs during the execution of both social and non-social actions in children with an Autism Spectrum Condition (ASC) in comparison to neurotypical children (NT). ASC children and NT children were asked to move a small bottle either towards a target point (non-social context) or moving it towards a receiver (social context) with different VFs specifically neutral, gentle, or rude. Videotaped tasks were subsequently analyzed to study kinematic parameters characterizing VFs. Our results highlighted three main findings: (1) overall, ASC children are able to tune the motor profile of their actions, effectively conveying both gentle and rude VFs; (2) distinct kinematic parameters in the execution of VFs are able to distinguish autistic children from NT children; (3) the social context significantly influences the child’s ability to express positive and negative VFs in autism. Taken together, these findings provide new insights to understand how VFs contribute to the complex dynamics of social communication in neurodivergent autistic children, providing a valuable contribution for future interventions and support strategies.

Autism diagnostic aid (ADA) tool for use in adults with intellectual disability: development, face and content validation

Purpose Individuals with intellectual disability have an increased predisposition to other co-morbid physical health conditions, mental illness and neurodevelopmental conditions including autism spectrum condition. There are challenges in diagnosing autism in adults with intellectual disability, and these are often attributes to the complexities in symptoms. The purpose of this paper is to describe the development of the autism diagnostic aid (ADA) tool and face and content validation of its properties. Design/methodology/approach The ADA tool was developed following a detailed scoping exercise which included literature reviews, observations and discussion with wider multi-disciplinary team members. A face and content validation after consultation with eight experts who are trained and routinely perform assessments for autism spectrum disorders. The experts also have expertise in working with individuals with intellectual disability. Findings The experts agreed that the ADA tool is appropriate to the targeted construct and assessment objectives as a diagnostic aid in the assessment of autism in adults with intellectual disability. They also determined that the content of ADA tool was valid for its use as a diagnostic aid in the diagnosis of adults with intellectual disability. Research limitations/implications The ADA tool was considered a valid tool from the expert’s perspective. It was identified to have a good face and content validity. To the best of the authors’ knowledge, the ADA is first of its kind tool, developed specifically to aid clinicians with autism assessments in adults with intellectual disability. Practical implications This tool could potentially help with timely assessment and help with providing appropriate intervention but would require further exploration. Originality/value To the best of the authors’ knowledge, this is the first of its kind tool for the assessment of autism in adults with intellectual disability.

Enhancing flow states in neurodivergent individuals through cognitive network integration

This article explores the concept of &amp;ldquo;flow&amp;rdquo; in the context of neurodivergence, focusing on the interaction between the default mode network (DMN) and task-positive networks (TPNs), particularly in conditions such as autism spectrum condition (ASC) and attention-deficit/hyperactivity disorder (ADHD). Flow, a state of deep immersion and focused engagement, is associated with enhanced performance and satisfaction across activities. The DMN, typically active during rest and self-referential thinking, interacts uniquely with TPNs during flow states, creating a dynamic balance crucial for sustained focus and reduced self-referential thinking. Neurodivergent individuals often exhibit distinct DMN activity patterns, which affect their capacity for achieving flow. For instance, individuals with ADHD may experience flow in stimulating tasks, whereas those with ASC may achieve it in areas of deep interest due to their intense focus. This paper examines the expertise-and-release model in creative flow and transient hypofrontality as a potential mechanism facilitating flow in neurodivergent individuals. It also proposes strategies to enhance flow through personalized cognitive training, specialized task environments, and technology-assisted interventions, aiming to harness neurodivergent strengths and accommodate unique cognitive profiles. This comprehensive analysis deepens understanding of neurodiversity and offers practical applications for improving quality of life and performance in neurodivergent populations.

L'espace vécu and Its Perturbations in Schizophrenia: Systematic Review and Meta-analysis of Altered Body-Centric Metrics-Personal and Peripersonal Space.

Subtle distortions of the experience of lived space have long been associated with schizophrenia. Although a body-centric transformation of space is considered an essential component of anomalous subjective experience in schizophrenia, its impact on the 2 major body-centric spatial constructs, that is, personal space (PS) and peripersonal space (PPS), is still not clear. This systematic review and meta-analysis have been set up to: (1) summarize the evidence on putative extensional differences of PS and PPS in schizophrenia as compared with controls, and (2) evaluate the quality and the limitations of available studies on the topic. Four electronic literature databases (MEDLINE, EMBASE, PsychINFO, and CINAHL) were searched with the keywords "Personal space OR Interpersonal distance AND Schizophrenia," "Peripersonal space AND Schizophrenia" from inception until December 31, 2023, resulting in 15 studies on PS and 5 studies on PPS included in this systematic review. The 12 studies on PS included in the meta-analysis revealed that individuals with a diagnosis of schizophrenia place a larger interpersonal distance from the stimuli than controls, with a moderate effect size in both the fixed-effect model (Hedges' g = 0.558 [95% confidence interval, CI: 0.445-0.671]; z = 9.67; P < 0.0001) and the random effects model (0.547 [0.294-0.799]; z = 4.77; P = 0.0006). The 5 studies included in the meta-analysis on PPS showed that individuals with a diagnosis of schizophrenia exhibit a narrower PPS than the controls at the fixed-effect (Hedges' g = 1.043 [95%CI: .739-1.348]; z = 6.72; P < .0001), but not at the random effects model (1.318 [-0.721 to 3.359]; z = 1.79; P = .147). Heterogeneity was substantial in both meta-analyses. Overall, the findings indicate that both body-centered space constructs (PS and PPS) are affected in schizophrenia, with an enlargement PS and a reduction PPS, thereby supporting the distinction of these constructs. These modifications cohere with the subjective transformation of the lived space (aka espace vécu) reported in classical psychopathology and may be promising, neurodevelopmentally grounded, biomarkers of vulnerability to schizophrenia and its spectrum conditions.

Autism Spectrum-Related Terms Preferred by Polish-Speaking Persons on the Autism Spectrum and Participants Without a Diagnosis of Autism Spectrum Conditions

Autism Spectrum-Related Terms Preferred by Polish-Speaking Persons on the Autism Spectrum and Participants Without a Diagnosis of Autism Spectrum Conditions

Classification of psychosis spectrum disorders using graph convolutional networks with structurally constrained functional connectomes

This article considers the problem of classifying individuals in a dataset of diverse psychosis spectrum conditions, including persons with subsyndromal psychotic-like experiences (PLEs) and healthy controls. This task is more challenging than the traditional problem of distinguishing patients with a diagnosed disorder from controls using brain network features, since the neurobiological differences between PLE individuals and healthy persons are less pronounced. Further, examining a transdiagnostic sample compared to controls is concordant with contemporary approaches to understanding the full spectrum of neurobiology of psychoses. We consider both support vector machines (SVMs) and graph convolutional networks (GCNs) for classification, with a variety of edge selection methods for processing the inputs. We also employ the MultiVERSE algorithm to generate network embeddings of the functional and structural networks for each subject, which are used as inputs for the SVMs. The best models among SVMs and GCNs yielded accuracies >63%. Investigation of network connectivity between persons with PLE and controls identified a region within the right inferior parietal cortex, called the PGi, as a central region for communication among modules (network hub). Class activation mapping revealed that the PLE group had salient regions in the dorsolateral prefrontal, orbital and polar frontal cortices, and the lateral temporal cortex, whereas the controls did not. Our study demonstrates the potential usefulness of deep learning methods to distinguish persons with subclinical psychosis and diagnosable disorders from controls. In the long term, this could help improve accuracy and reliability of clinical diagnoses, provide neurobiological bases for making diagnoses, and initiate early intervention strategies.

A study into the correlation between single array-hull configurations and wave spectrum for floating solar photovoltaic systems

Floating photovoltaic (FPV) systems offer a viable renewable energy solution due to easy installation and cost-effectiveness compared to other renewable energy generation methods. On the other hand, land-based solar photovoltaics face challenges such as space scarcity and environmental impacts. Shifting to nearshore locations unlocks vast ocean space potential, though waves expose significant challenges to FPV systems. Several novel FPV system designs are proposed, inspired by high-speed vessel multihulls, including catamaran, trimaran, quadrimaran, and pentamaran configurations, as floating supports for solar panels. Simulations were conducted to determine Response Amplitude Operators (RAOs) under various irregular wave spectrum conditions in a free-floating initial state. The FPV motion problem was solved using linear potential-flow theory with the Boundary Element Method (BEM) with Green-Function approach. Superposition of wave spectral energy and motion RAOs was used to obtain spectral structural responses. Motion in heave, roll, and pitch modes was evaluated across wave spectrum types. Results show that adding hulls reduces the significant amplitude response in all motion modes. In summary, valuable insights into floater designs and the hydrodynamic evaluation of FPV systems are presented.

Giant Cell Arteritis and Takayasu Arteritis: Are They Similar or Different?

Vasculitis is a group of heterogeneous conditions characterised by inflammation of blood vessels. Based on the predominant size of the affected vessel, vasculitis is classified into small, medium, and large vessel vasculitis (LVV). Giant cell arteritis (GCA) and Takayasu’s arteritis (TAK) are the two major types of LVV. GCA was thought to affect only the external carotid artery and its branches, whereas, TAK was thought to affect the aorta and its major branches. Advances in imaging techniques have led to a better understanding of these conditions. It has become increasingly clear that GCA can involve the aorta and its branches. GCA and TAK have overlapping features like propensity to affect the aorta and its branches, similar histopathology, and similar clinical features. However, there are differences in age, geographic location, genetics, and predominant vascular territory involvement. There are subtle differences in clinical features. Are these conditions different ends of the same spectrum or different conditions with similar features? This review compares and contrasts these two conditions based on epidemiology, genetics, pathology, predominant vascular territory involvement, and any differential response to treatment. Based on current evidence, GCA and TAK seem to be distinct conditions and not different ends of the same spectrum.

Mourre theory and spectral analysis of energy-momentum operators in relativistic quantum field theory

A central task of theoretical physics is to analyse spectral properties of quantum mechanical observables. In this endeavour, Mourre’s conjugate operator method emerged as an effective tool in the spectral theory of Schrödinger operators. This paper introduces a novel class of examples from relativistic quantum field theory that are amenable to Mourre’s method. By assuming Lorentz covariance and the spectrum condition, we derive a limiting absorption principle for the energy-momentum operators and provide new proofs of the absolute continuity of the energy-momentum spectra. Moreover, under the assumption of dilation covariance, we show that the spectrum of the relativistic mass operator is purely absolutely continuous in (0,∞)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$(0,\\infty )$$\\end{document}.

Face perception and social cognitive development in early autism: A prospective longitudinal study from 3 months to 7 years of age.

Autism spectrum condition (ASC) is characterized by atypical attention to eyes and faces, but the onset and impact of these atypicalities remain unclear. This prospective longitudinal study examined face perception in infants who develop ASC (N = 22, female = 5, 100% White) compared with typically developing infants (N = 131, female = 65, 55.6% White), tracking social-cognitive and ASC development through age seven. Reduced interest in direct gaze and eyes during infancy correlated with atypical development of adaptive behavior at age four and theory of mind at age seven. Principal component analyses revealed less integrated processing of facial features and eye-gaze information in ASC infants, potentially impacting their childhood social functioning. These findings highlight the intertwined nature of social-cognitive development and ASC.

Brief historical account of autism in Peru.

We present a historical account of autism in Peru. Currently, the term "autism spectrum conditions", from the neurodiversity paradigm, is used to describe neurodevelopmental disorders characterized by persistent difficulties in communication, social interaction, and restricted and repetitive behaviors and interests. In Peru, the scientific study of nervous and mental diseases began around 1920 and although the diagnosis of "childhood autism" was proposed in 1959, it only began to spread in the 1980s. Although significant advances were made in the 21st century, Peru still faces many challenges in addressing autism.

Generation of synthetic spectrum-compatible bi-directional ground motions with specific directionality

Ground motions compatible with the maximum-direction response spectrum (RotD100) condition are emphasized in performance-based design and seismic risk assessment of civil structures in different regions. Due to the complex nature and uncertainty of earthquakes, the comprehensive inclusion of essential characteristics of ground motions is crucial. Recently, the directionality effect of horizontal bi-directional ground motions, representing the variation of the response spectral ordinate amplitude along various directions, on the seismic performance assessment of certain structures or key structural elements has received increasing attention in seismic analysis. However, from the seismic design perspective, there is still a lack of a method that can generate bi-directional ground motions comprehensively reflecting the directionality effect. This study focuses on the correction of ground motion directionality when generating synthetic bi-directional ground motions for a given target response spectrum. An efficient and integrated algorithm is proposed. To demonstrate the applicability of the proposed algorithm, three different target RotD100 response spectra are determined according to modern seismic design codes, and 20 pairs of bi-directional ground motions are generated using the proposed algorithm for each target spectrum. It is shown that with the proposed algorithm, the generated motions present a close match to the target RotD100 response spectrum and meet the specific directionality requirement. In addition, due to the iterative modification of the envelope function, the energy of the generated ground motion is also consistent with the scaled natural records.

Sensory symptoms associated with autistic traits and anxiety levels in children aged 6–11 years

BackgroundAutism spectrum conditions (ASC) and quantitative autistic traits (QATs) are associated with sensory symptoms, which may contribute to anxiety and adversely affect social and cognitive development. Although sensory symptoms can occur across all senses, the relative roles of specific sensory modalities as contributors to the autistic phenotype and to anxiety are not well understood. The objective of this study was to examine which sensory symptoms were most predictive of high anxiety.MethodsWe recruited 257 female primary caregivers of children aged 6 to 11 years (49% girls) to a questionnaire study comprising parent-report measures for classical QATs (social, communicative, and rigid), autism-related sensorimotor symptoms (visual, auditory, tactile, olfactory, gustatory, vestibular, proprioceptive, and motor), and anxiety symptoms. First, Bayesian stochastic search variable selection (SSVS) was used to identify the most probable sensorimotor predictors of specific QATs as well as diagnosed ASC. Then, the selected predictors were used in another SSVS, using anxiety symptoms as a dependent variable, to identify which of the autism-relevant sensorimotor symptoms were most robustly predictive of anxiety. Finally, the effect sizes of anxiety-related sensory symptoms were estimated with linear regressions.ResultsWe found that auditory symptoms and motor difficulties were most predictive of ASC diagnosis. Developmental motor difficulties were also strongly related to all individual QATs, whereas auditory symptoms were more selectively predictive of rigid traits. Tactile symptoms robustly predicted social interaction QATs, and proprioceptive symptoms predicted communicative QATs. Anxiety outcomes were most strongly predicted by difficulties with auditory and olfactory processing.ConclusionsThe results support the clinical importance of being alert to complaints about sounds and hearing in neurodevelopmental populations, and that auditory processing difficulties may be evaluated as an early marker of poor mental health in children with and without diagnosed autism. Olfactory processing differences appeared to be an anxiety marker less strongly associated with ASC or QATs, while motor difficulties were highly autism-relevant but not equally strongly associated with anxiety outcomes. We suggest that future studies may focus on the mechanisms and consequences of neurodevelopmental central auditory processing dysfunction and its potential relationship to anxiety disorders.

Pilot Study of Personalized Transcranial Magnetic Stimulation with Spectral Electroencephalogram Analyses for Assessing and Treating Persons with Autism.

Autism spectrum condition (ASC) is a neurodevelopmental condition that is only partly responsive to prevailing interventions. ASC manifests core challenges in social skills, communication, and sensory function and by repetitive stereotyped behaviors, along with imbalances in the brain's excitatory (E) and inhibitory (I) signaling. Repetitive transcranial magnetic stimulation (rTMS) has shown promise in ASC and may be a useful addition to applied behavioral analysis (ABA), a gold-standard psychotherapeutic intervention. We report an open-label clinical pilot (initial) study in which ABA-treated ASC persons (n = 123) received our personalized rTMS protocol (PrTMS). PrTMS uses low TMS pulse intensities and continuously updates multiple cortical stimulation locales and stimulation frequencies based on the spectral EEG and psychometrics. No adverse effects developed, and 44% of subjects had ASC scale scores reduced to below diagnostic cutoffs. Importantly, in PrTMS responders, the spectral EEG regression flattened, implying a more balanced E/I ratio. Moreover, with older participants, alpha peak frequency increased, a positive correlate of non-verbal cognition. PrTMS may be an effective ASC intervention, offering improved cognitive function and overall symptomatology. This warrants further research into PrTMS mechanisms and specific types of subjects who may benefit, along with validation of the present results and exploration of broader clinical applicability.

Idiopathic intracranial hypertension pathogenesis: The jugular hypothesis.

In spite of expanding research, idiopathic intracranial hypertension (IIH) and its spectrum conditions remain challenging to treat. The failure to develop effective treatment strategies is largely due to poor agreement on a coherent disease pathogenesis model. Herein we provide a hypothesis of a unifying model centered around the internal jugular veins (IJV) to explain the development of IIH, which contends the following: (1) the IJV are prone to both physiological and pathological compression throughout their course, including compression near C1 and the styloid process, dynamic muscular/carotid compression from C3 to C6, and lymphatic compression; (2) severe dynamic IJV stenosis with developments of large cervical gradients is common in IIH-spectrum patients and significantly impacts intracranial venous and cerebrospinal fluid (CSF) pressures; (3) pre-existing IJV stenosis may be exacerbated by infectious/inflammatory etiologies that induce retromandibular cervical lymphatic hypertrophy; (4) extra-jugular venous collaterals dilate with chronic use but are insufficient resulting in impaired aggregate cerebral venous outflow; (5) poor IJV outflow initiates, or in conjunction with other factors, contributes to intracranial venous hypertension and congestion leading to higher CSF pressures and intracranial pressure (ICP); (6) glymphatic congestion occurs but is insufficient to compensate and this pathway becomes overwhelmed; and (7) elevated intracranial CSF pressures triggers extramural venous sinus stenosis in susceptible individuals that amplifies ICP elevation producing severe clinical manifestations. Future studies must focus on establishing norms for dynamic cerebral venous outflow and IJV physiology in the absence of disease so that we may better understand and define the diseased state.

Revue systématique des méthodes d’évaluation du traitement sensoriel chez les enfants et adolescents autistes

Sensory processing has been a diagnostic criterion for autism spectrum condition since the fifth version of the DSM. However, there is no consensus regarding assessment methods. This article is a systematic review of methods for assessing sensory processing in children and adolescents with autism aged between 0 and 18 years, with three objectives: (1) to identify and organize, using PRISMA, the different methods used in scientific articles for assessing sensory processing in autism; (2) to discuss their advantages and limitations by using the COSMIN checklist; (3) to suggest possible recommendations. Analysis of the 142 articles selected revealed five types of assessment method: questionnaires, psychophysical measurements, electroencephalography, neuroimaging and observation. Questionnaires were the most frequently cited clinical method, while psychophysical tests were the most represented. Each method has limitations in terms of individual utilization due to non-standardized procedures and varied investigation targets. While this systematic review makes it possible to better identify the methods used in the clinical and research fields for sensory processing specificities in children and adolescents on the spectrum, it also highlights the fact that the lack of consensus on assessments is partly due to a problem of definition of this process. Future research will need to agree on a characterization of sensory processing in order to develop a common assessment.

Spontaneous instrumental approach-avoidance learning in social contexts in autism

BackgroundIndividuals with Autism Spectrum Condition (ASC) are characterized by atypicalities in social interactions, compared to Typically Developing individuals (TD). The social motivation theory posits that these difficulties stem from diminished anticipation, reception, and/or learning from social rewards. Although learning from socioemotional outcomes is core to the theory, studies to date have been sparse and inconsistent. This possibly arises from a combination of theoretical, methodological and sample-related issues. Here, we assessed participants’ ability to develop a spontaneous preference for actions that lead to desirable socioemotional outcomes (approaching/avoiding of happy/angry individuals, respectively), in an ecologically valid social scenario. We expected that learning abilities would be impaired in ASC individuals, particularly in response to affiliative social feedback.MethodWe ran an online social reinforcement learning task, on two large online cohorts with (n = 274) and without (n = 290) ASC, matched for gender, age and education. Participants had to indicate where they would sit in a waiting room. Each seat was associated with different probabilities of approaching/avoiding emotional individuals. Importantly, the task was implicit, as participants were not instructed to learn, and emotional expressions were never mentioned. We applied both categorical analyses contrasting the ASC and TD groups and dimensional factor analysis on affective questionnaires.ResultsContrary to our hypothesis, participants showed spontaneous learning from socioemotional outcomes, regardless of their diagnostic group. Yet, when accounting for dimensional variations in autistic traits, as well as depression and anxiety, two main findings emerged among females who failed to develop explicit learning strategies: (1) autism severity in ASC correlated with reduced learning to approach happy individuals; (2) anxiety-depression severity across both ASC and TD participants correlated with reduced learning to approach/avoid happy/angry individuals, respectively.ConclusionsImplicit spontaneous learning from socioemotional outcomes is not generally impaired in autism but may be specifically associated with autism severity in females with ASC, when they do not have an explicit strategy for adapting to their social environment. Clinical diagnosis and intervention ought to take into account individual differences in their full complexity, including the presence of co-morbid anxiety and depression, when dealing with social atypicalities in autism.