Individual Differences In Behavior Research Articles

Measuring Cognitive Abilities in the Wild: Validating a Population-Scale Game-Based Cognitive Assessment.

Rapid individual cognitive phenotyping holds the potential to revolutionize domains as wide-ranging as personalized learning, employment practices, and precision psychiatry. Going beyond limitations imposed by traditional lab-based experiments, new efforts have been underway toward greater ecological validity and participant diversity to capture the full range of individual differences in cognitive abilities and behaviors across the general population. Building on this, we developed Skill Lab, a novel game-based tool that simultaneously assesses a broad suite of cognitive abilities while providing an engaging narrative. Skill Lab consists of six mini-games as well as 14 established cognitive ability tasks. Using a popular citizen science platform (N = 10,725), we conducted a comprehensive validation in the wild of a game-based cognitive assessment suite. Based on the game and validation task data, we constructed reliable models to simultaneously predict eight cognitive abilities based on the users' in-game behavior. Follow-up validation tests revealed that the models can discriminate nuances contained within each separate cognitive ability as well as capture a shared main factor of generalized cognitive ability. Our game-based measures are five times faster to complete than the equivalent task-based measures and replicate previous findings on the decline of certain cognitive abilities with age in our large cross-sectional population sample (N = 6369). Taken together, our results demonstrate the feasibility of rapid in-the-wild systematic assessment of cognitive abilities as a promising first step toward population-scale benchmarking and individualized mental health diagnostics.

Neural similarity in nucleus accumbens during decision-making for the self and a best friend: Links to adolescents' self-reported susceptibility to peer influence and risk taking.

Adolescence is marked by increased peer influence on risk taking; however, recent literature suggests enormous individual variation in peer influence susceptibility to risk-taking behaviors. The current study uses representation similarity analysis to test whether neural similarity between decision-making for self and peers (i.e., best friends) in a risky context is associated with individual differences in self-reported peer influence susceptibility and risky behaviors in adolescents. Adolescent participants (N = 166, Mage = 12.89) completed a neuroimaging task in which they made risky decisions to receive rewards for themselves, their best friend, and their parents. Adolescent participants self-reported peer influence susceptibility and engagement in risk-taking behaviors. We found that adolescents with greater similarity in nucleus accumbens (NACC) response patterns between the self and theirbest friend reported greater susceptibility to peer influence and increased risk-taking behaviors. However, neural similarity in ventromedial prefrontal cortex (vmPFC) was not significantly associated with adolescents' peer influence susceptibility and risk-taking behaviors. Further, when examining neural similarity between adolescents' self and their parent in the NACC and vmPFC, we did not find links to peer influence susceptibility and risk-taking behaviors. Together, our results suggest that greater similarity for self and friend in the NACC is associated with individual differences in adolescents' peer influence susceptibility and risk-taking behaviors.

Exposure to gun violence and handgun carrying from adolescence to adulthood

RationaleWhile empirical interest in understanding the mental health consequences surrounding gun violence has increased, currently there is much unknown about the long reach of childhood exposure to gun violence on handgun carrying across the life course. ObjectiveThe current study aims to evaluate the relations between witnessing gun violence before age 12 and subsequent handgun-carrying behavior from adolescence to adulthood in a nationally representative sample of U.S. youth. MethodsData from 15 waves from the National Longitudinal Survey of Youth 1997) are analyzed (Ns range from 5695 to 5875 participants). Categorical latent growth curve models are estimated to assess individual differences in handgun-carrying behavior over time and the relationships between childhood exposure to gun violence, initial levels during adolescence, and rates of change from adolescence to adulthood. ResultsParticipants who reported witnessing seeing someone shot or shot at in childhood demonstrated higher odds of carrying a handgun in adolescence. Exposure to gun violence was not associated with changes in the odds of handgun carrying from adolescence to adulthood after controlling for theoretically relevant covariates. ConclusionsChildhood exposure to gun violence appears to be a risk factor for handgun carrying in adolescence. Nonetheless, other behaviors and demographic characteristics account for inter-individual differences in changes in handgun carrying across the life course.

The robustness of individual differences in gaze preferences toward faces and eyes across face-to-face experimental designs and its relation to social anxiety.

Humans rely heavily on the visual and oculomotor systems during social interactions. This study examined individual differences in gaze behavior in two types of face-to-face social interactions: a screen-based interview and a live interview. The study examined how stable these individual differences are across scenarios and how it relates to individuals' traits of social anxiety, autism, and neuroticism. Extending previous studies, we distinguished between individuals' tendency to look at the face, and the tendency to look at the eyes if the face was fixated. These gaze measures demonstrated high internal consistencies (correlation between two halves of the data within a scenario) within both the screen-based and live interview scenarios. Furthermore, individuals who had a tendency to look more at the eyes during one type of interview tended to display the same behavior during the other interview type. More socially anxious participants looked less at faces in both scenarios, but no link with social anxiety was observed for the tendency to look at the eyes. This research highlights the robustness of individual variations in gaze behavior across and within interview scenarios, as well as the usefulness of measuring the tendency to look at faces separately from the tendency to look at eyes.

Decreased Ventral Tegmental Area CB1R Signaling Reduces Sign Tracking and Shifts Cue-Outcome Dynamics in Rat Nucleus Accumbens.

Sign-tracking (ST) rats show enhanced cue sensitivity before drug experience that predicts greater discrete cue-induced drug seeking compared with goal-tracking or intermediate rats. Cue-evoked dopamine in the nucleus accumbens (NAc) is a neurobiological signature of sign-tracking behaviors. Here, we examine a critical regulator of the dopamine system, endocannabinoids, which bind the cannabinoid receptor-1 (CB1R) in the ventral tegmental area (VTA) to control cue-evoked striatal dopamine levels. We use cell type-specific optogenetics, intra-VTA pharmacology, and fiber photometry to test the hypothesis that VTA CB1R receptor signaling regulates NAc dopamine levels to control sign tracking. We trained male and female rats in a Pavlovian lever autoshaping (PLA) task to determine their tracking groups before testing the effect of VTA → NAc dopamine inhibition. We found that this circuit is critical for mediating the vigor of the ST response. Upstream of this circuit, intra-VTA infusions of rimonabant, a CB1R inverse agonist, during PLA decrease lever and increase food cup approach in sign-trackers. Using fiber photometry to measure fluorescent signals from a dopamine sensor, GRABDA (AAV9-hSyn-DA2m), we tested the effects of intra-VTA rimonabant on NAc dopamine dynamics during autoshaping in female rats. We found that intra-VTA rimonabant decreased sign-tracking behaviors, which was associated with increases in NAc shell, but not core, dopamine levels during reward delivery [unconditioned stimulus (US)]. Our results suggest that CB1R signaling in the VTA influences the balance between the conditioned stimulus-evoked and US-evoked dopamine responses in the NAc shell and biases behavioral responding to cues in sign-tracking rats.SIGNIFICANCE STATEMENT Substance use disorder (SUD) is a chronically relapsing psychological disorder that affects a subset of individuals who engage in drug use. Recent research suggests that there are individual behavioral and neurobiological differences before drug experience that predict SUD and relapse vulnerabilities. Here, we investigate how midbrain endocannabinoids regulate a brain pathway that is exclusively involved in driving cue-motivated behaviors of sign-tracking rats. This work contributes to our mechanistic understanding of individual vulnerabilities to cue-triggered natural reward seeking that have relevance for drug-motivated behaviors.

Linearly integrating speed and accuracy to measure individual differences in theory of mind: Evidence from autistic and neurotypical adults.

It has long been theorised that there is a direct link between individual differences in social cognition and behaviour. One of the most popular tests of this theory has involved examination of Theory of Mind (ToM) difficulties in Autism Spectrum Disorder (ASD). However, evidence for associations between ToM and social behaviour is mixed, both when testing the ToM explanation of ASD and when investigating individual differences in ToM in the general population. We argue that this is due to methodological limitations of many ToM measures, such as a lack of variability in task performance, inappropriate non-ToM control tasks, and a failure to account for general mental ability. To overcome these issues, we designed a novel task, which probed individual differences in ToM fluency through mental state attribution in response to cartoons (Cartoons Theory of Mind [CarToM] task). This task, enabling the linear combination of speed and accuracy, was used to quantify ToM ability and its association with self-reported (a)typical social behaviour in adults with and without ASD. In a large sample (N = 237), we found that having an ASD diagnosis and higher autistic traits predicted lower ToM ability, even after accounting for performance on a well-matched non-ToM condition and general mental ability. Overall, our findings provide fresh support for the existence of a link between individual differences in social cognition (specifically, ToM) and behaviour (specifically, autism). This has implications for social-cognitive theory and research, allowing large-scale, online assessment of individual differences in ToM in clinical groups and the general population.

Adaptive behaviors and related factors in children and adolescents with autism spectrum disorder: Report from ELENA cohort

There are strong individual differences in adaptive behaviors (AB) in autism spectrum disorder (ASD) with conflicting results in literature about specific patterns and related factors. The present study aims to describe AB and identify related factors in terms of clinical and socio-familial characteristics in 875 children and adolescents with ASD in the multiregional ELENA cohort in France. Results showed that AB in children and adolescents with ASD were lower than in typically developing subjects, regardless of age group. AB were associated with clinical (gender, age at diagnosis, IQ, ASD severity, psychiatric comorbidities, motor and language skills, challenging behaviors), interventional (school attendance, special interventions) and familial characteristics (age, educational and socio-economic status of parents, household status, number of siblings). There is a need of interventions focusing on improvement of AB, tailored to children's characteristics.

Measuring the Relative Utility Loss of Legitimacy Deviation: A Discussion Based on the Public Goods Experiment.

In order to understand the differences in individual behavior across different contexts, this study introduces legitimate behavior and its deviation into a utility function. We hypothesize that people have preferences for adhering to the legitimate behavior that is required by the behavioral norm embedded in a particular context; furthermore, deviating from this legitimate behavior may generate a utility loss for them. We apply our model in the context of conditional contributions in a public goods experiment; moreover, we verify that the behavioral pattern of this conditional cooperation is derived from subjects' preferences for complying with the legitimate behavior required by the norm of the conditional cooperation activated in the experimental context. Furthermore, we attempt to measure the individual-level degrees of respect for the legitimate behavior in the given context using observable experimental data. The measurement results reveal that the subjects' relative sensitivities to deviations are highly centrally distributed; additionally, most subjects have a relatively high degree of respect for the legitimate behavior required by the conditional cooperation norm. Accordingly, this paper will help to improve our understanding of the micro mechanism underlying individual behavior.

Do people become more proactive at work as they grow older? Examining the mediating roles of intrinsic motivation, emotional exhaustion, and career aspiration.

Today, there is an increasingly aging workforce. Previous studies have examined whether aged people exhibit more positive attitudes, better health, and better performance. However, the relationship between age and proactive work behavior has seldom been examined, which is unfortunate since organizations need employee proactivity to deal with uncertainty and unpredictability. Based on socioemotional selectivity theory, we propose that age might be positively related to proactive work behavior through intrinsic motivation and emotional exhaustion because older people tend to manage their emotions and obtain intrinsic enjoyment. But age might be negatively related to proactive work behavior through career aspiration because older people focus less on future development. With a sample of 393 people, we revealed intrinsic motivation and career aspiration. The findings could help us better understand how age is related to organizational outcomes and individual differences in proactive work behavior. They could also further reduce age-related discrimination and encourage organizations to manage older people in wise and better ways.

Individual differences in environmental wellbeing and pro-environmental behaviors explained by self-control.

Climate change is an increasing problem, with more extreme weather conditions and rising temperatures. To fulfill the temperature goals of the Paris agreement a societal change is needed, a change that requires a shift of lifestyle from all of us. If we want to change our behaviors to more sustainable ones, we need to sacrifice substantial things today to improve a future, which often seems distant and abstract. People with high level of self-control have been shown to have a better ability to visualize future events, which makes self-control an interesting trait to look at in relation to pro-environmental behavior. The aim of this study was to examine how self-control correlates with environmental well-being and environmental behavior. An internet-based survey was sent to a representative Swedish sample (n = 602). The respondents were asked to fill out a newly developed scale measuring their anxiety and security regarding environmental matters (environmental wellbeing), as well as indicate how often they engage in six different pro-environmental behaviors (e.g., turning lights off when leaving the room). Additionally, data on the respondents' gender, age, political orientation, and self-control was collected. Our results suggest a positive correlation between self-control and environmental wellbeing and a weaker, but still positive, correlation between self-control and some pro-environmental behaviors. Additionally, respondents who identified themselves as politically left had lower environmental wellbeing, while men had higher environmental wellbeing, but behaved less environmentally friendly. Thus, our results suggest that political orientation was a better predictor of sound environmental behavior than subjective self-control was.

Functional neural architecture of cognitive control mediates the relationship between individual differences in bilingual experience and behaviour

Bilinguals have often, but not always, been found to outperform monolinguals on domain-general attentional control. Inconsistent findings have been argued to stem, at least partly, from treating bilingualism as a uniform category and from not considering how neural adaptations to bilingual experiences modulate behavioural outcomes. The present study investigated how patterns of language experience, including language switching behaviour, duration and intensity/diversity of bilingual language use, influence the brain processes underlying cognitive control, and how these in turn translate to cognitive control performance. We examined reaction times and spectral dynamics of the electroencephalograms (EEG) of two-hundred-and-thirty-nine participants (about 70% bilinguals) with diverse language experiences during two cognitive control paradigms testing interference suppression (flanker and Simon task). Using structural equation modelling, we found that different bilingual experience factors were related with neurocognitive measures, which in turn were related with behavioural interference effects, for the flanker but not the Simon task. More specifically, increased frequency of language switching and intensity/diversity of bilingual language usage was negatively related to induced top-down control measures (especially midline-frontal theta), which in turn was beneficial for interference control. In contrast, duration of bilingual engagement correlated negatively with evoked bottom-up control measures (especially P3) and was therefore detrimental to interference control. We demonstrate here for the first time how the different factors of bilingual experience lead to different neural adaptations which impact behavioural outcomes. Significance statementLike other intensive experiences, bilingualism leads to brain adaptations. It results in structural changes in language areas, and, due to demands on language control, in brain areas associated with domain-general cognitive control. Related to this, bilinguals often outperform monolinguals on cognitive control tasks. But what is often ignored is that bilingualism is a multi-dimensional phenomenon, with variations such as diversity of language usage and duration of language use. The present large-scale study of neural functioning in bilingualism revealed for the first time how individual differences in bilingual experience lead to adaptations to brain functioning which in turn affect cognitive control behaviour. It exemplifies how the complexity of individual experiences plays a fundamental role in brain function.

Computing personalized brain functional networks from fMRI using self-supervised deep learning.

A novel self-supervised deep learning (DL) method is developed to compute personalized brain functional networks (FNs) for characterizing brain functional neuroanatomy based on functional MRI (fMRI). Specifically, a DL model of convolutional neural networks with an encoder-decoder architecture is developed to compute personalized FNs directly from fMRI data. The DL model is trained to optimize functional homogeneity of personalized FNs without utilizing any external supervision in an end-to-end fashion. We demonstrate that a DL model trained on fMRI scans from the Human Connectome Project can identify personalized FNs and generalizes well across four different datasets. We further demonstrate that the identified personalized FNs are informative for predicting individual differences in behavior, brain development, and schizophrenia status. Taken together, the self-supervised DL allows for rapid, generalizable computation of personalized FNs.

Maternal executive function, authoritarian attitudes, and hostile attribution bias as interacting predictors of harsh parenting.

Executive function (EF) plays a key role in healthy development and human functioning across multiple domains, including socially, behaviorally, and in the self-regulation of cognition and emotion. Prior research has associated lower levels of maternal EF with harsher and more reactive parenting, and mothers' social cognitive attributes like authoritarian child-rearing attitudes and hostile attribution biases also contribute to harsh parenting practices. There have been few studies that explore the intersection of maternal EF and social cognitions. The present study addresses this gap by testing whether the relationship between individual differences in maternal EF and harsh parenting behaviors is statistically moderated separately by maternal authoritarian attitudes and hostile attribution bias. Participants were 156 mothers in a socioeconomically diverse sample. Multi-informant and multimethod assessments of harsh parenting and EF were utilized, and mothers self-reported on their child-rearing attitudes and attribution bias. Harsh parenting was negatively associated with maternal EF and hostile attribution bias. Authoritarian attitudes significantly interacted with EF (and the attribution bias interaction was marginally significant) in prediction of variance in harsh parenting behaviors. Commensurate with social information processing theory, EF and social cognitive attributes play critical and distinct roles in the causes of harsh caregiving practices. Findings elucidate that reforming parental social cognitions, in addition to targeting EF, may be effective prevention and intervention methods for yielding more positive parenting behaviors. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Are trait self-control and self-control resources mediators of relations between executive functions and health behaviors?

This study investigated associations between executive functions (i.e., inhibition, working memory, cognitive flexibility) and individual differences in self-control and health behaviors. We examined whether executive functions predict physical activity, sedentary activity, and healthy and unhealthy diets, and whether trait self-control and self-control resources mediate these associations. Three hundred and eighty-five participants completed a questionnaire assessing trait self-control and self-control resources, physical activity, sedentary activity, and healthy and unhealthy diets. They also performed three randomly ordered cognitive tasks, a stop-signal task (i.e., inhibition), a letter memory task (i.e., updating), and a number-letter task (i.e., switching). Structural equation modeling revealed that self-control resources predicted positively physical activity (R2 = 0.08), negatively sedentary activity (R2 = 0.03) and positively healthy diet (R2 = 10). Moreover, trait self-control predicted positively healthy diet (R2 = 0.10) and negatively unhealthy diet (R2 = 0.19). Moreover, analyses revealed that switching significantly predicted self-control resources, and highlighted three totally mediated relations between this executive function and physical activity, sedentary activity and healthy diet. However, no evidence was found supporting associations between inhibition and updating, and health behaviors, or relations mediated by self-control for these executive functions. The findings suggest the importance of trait self-control and self-control resources for health behavior adoption and pave the way for studies exploring the role of the executive functions in an affective context. Open materials [https://osf.io/hpsjw/].

Meaning in life through work: A cognitive-experiential self-theory (CEST) perspective

This article explores existential meaning-making from work using the cognitive-experiential self-theory (CEST). To start with, we use the tenets of CEST to elaborate on how the cues from archetype work environments—a realization facilitating work environment (RfWE) and justification facilitating work environment (JfWE)—are interpreted by information-processing systems to imbue meaning in life (MiL) as internal or external manifestations of coherence, purpose, and significance. Next, we explain how individual differences in work centrality and proactive meaning-crafting ability moderate the impact of JfWE, but not of RfWE, on MiL. Finally, we create a nomological network of existential meaning states emerging from the simultaneous presence or absence of RfWE and JfWE. In summary, by applying the information-processing lens of CEST, we develop an integrated model that explains how work drives MiL, elucidates the resultant existential states, and assesses the role of individual differences in meaning-making.

Effect of Green Human Resource Management on Green Psychological Climate and Environmental Green Behavior of Hotel Employees: The Moderator Roles of Environmental Sensitivity and Altruism

This article reports the findings of how green human resource management (GHRM) practices can influence the perceptions of hotel employees regarding their organizations’ commitments to green psychological climate (GPC) and their environmentally responsible behavior. GHRM practices refer to the policies and procedures that support environmental sustainability and reduce the negative effects of business activities on the environment. The data used in the research were collected from 425 employees working in 11 5-star hotels in the Antalya/Manavgat districts. For data analysis, data scan analysis was used and the results were then analyzed through the AMOS software to test the structural model. The study has suggested that GHRM practices can positively affect the perceptions of employees concerning their commitment to GPC, which in turn can lead to more environmentally green behaviors. The study also examines the roles of environmental sensitivity and altruism in the relationship between GHRM practices and environmental behavior. The research has shown that individuals with higher levels of environmental sensitivity and altruism are more likely to exhibit environmentally responsible behavior. This means that the employees who are sensitive to environmental issues and have an altruistic personality are more liable to respond positively to GHRM practices of their businesses and are more likely to be environmentally responsible. The research has also emphasized that businesses should consider individual differences in environmental attitudes and behaviors when implementing GHRM practices.

EDDSN-MRT: multiple rodent tracking based on ear detection and dual siamese network for rodent social behavior analysis

BackgroundRodent social behavior is a commonly used preclinical model to interrogate the mechanisms underpinning various human neurological conditions. To investigate the interplay between neural systems and social behaviors, neuroscientists need a precise quantitative measure for multi-rodent tracking and behavior assessment in laboratory settings. However, identifying individual differences across multiple rodents due to visual occlusion precludes the generation of stable individual tracks across time.MethodsTo overcome the present limitations of multi-rodent tracking, we have developed an Ear Detection and Dual Siamese Network for Multiple Rodent Tracking (EDDSN-MRT). The aim of this study is to validate the EDDSN-MRT system in mice using a publicly available dataset and compare it with several current state-of-the-art methods for behavioral assessment. To demonstrate its application and effectiveness in the assessment of multi-rodent social behavior, we implemented an intermittent fasting intervention experiment on 4 groups of mice (each group is with different ages and fasting status and contains 8 individuals). We used the EDDSN-MRT system to track multiple mice simultaneously and for the identification and analysis of individual differences in rodent social behavior and compared our proposed method with Toxtrac and idtracker.ai.ResultsThe locomotion behavior of up to 4 mice can be tracked simultaneously using the EDDSN-MRT system. Unexpectedly, we found intermittent fasting led to a decrease in the spatial distribution of the mice, contrasting with previous findings. Furthermore, we show that the EDDSN-MRT system can be used to analyze the social behavior of multiple mice of different ages and fasting status and provide data on locomotion behavior across multiple mice simultaneously.ConclusionsCompared with several state-of-the-art methods, the EDDSN-MRT system provided better tracking performance according to Multiple Object Tracking Accuracy (MOTA) and ID Correct Rate (ICR). External experimental validation suggests that the EDDSN-MRT system has sensitivity to distinguish the behaviors of mice on different intermittent fasting regimens. The EDDSN-MRT system code is freely available here: https://github.com/fliessen/EDDSN-MRT.

Of mice, ticks, and fleas: host behaviour and co-occurring parasites

Host behaviour should be a key determinant of the acquisition of “sit-and-wait” and nidicolous ectoparasitic arthropods that ambush the host in their environment and/or nest. Here, we tested the association between parasitism and individual differences in exploratory and grooming behaviours in white-footed mice ( Peromyscus leucopus (Rafinesque, 1818)), the primary host for the black-legged tick ( Ixodes scapularis Say, 1821) in its larval stage. During 4333 captures of 1035 individual mice over five summers (2016–2020) in Ontario, Canada, the probability and intensity of tick parasitism were both significantly higher when the mouse was also parasitized by fleas, suggesting co-occurrence of these two parasites on host mice. Distance moved by mice in a novel environment was negatively and positively affected by tick and flea parasitism, respectively. Interestingly, there was a significant “tick × flea” statistical interaction on distance moved, such that fleas were positively associated with activity/exploration only when ticks were absent. There was no relationship between grooming behaviour and parasite presence. This study suggests that co-occurring parasite species (ticks and fleas) may differentially affect their host's behaviour depending on the presence/absence of the other parasite on the host. Alternatively, host behaviour may differentially affect individual susceptibility to being infested with ticks, fleas, or both.

State-dependent interhemispheric inhibition reveals individual differences in motor behavior in chronic stroke

ObjectiveTo investigate state-dependent interhemispheric inhibition (IHI) in chronic stroke survivors compared to neurotypical older adult controls, and test whether abnormal IHI modulation was associated with upper extremity motor behavior. MethodsDual-coil transcranial magnetic stimulation (TMS) measured IHI bi-directionally, between non-lesioned and lesioned motor cortex (M1) in two activity states: (1) at rest and (2) during contralateral isometric hand muscle contraction. IHI was tested by delivering a conditioning stimulus 8-msec or 50-msec prior to a test stimulus over contralateral M1. Paretic motor behavior was assessed by clinical measures of impairment, strength, and dexterity, and mirroring activity in the non-paretic hand. ResultsStroke survivors demonstrated reduced IHI at rest, and less IHI modulation (active – rest) compared to controls. Individual differences in IHI modulation were related to motor behavior differences where greater IHI modulation was associated with greater motor impairment and more mirroring. In contrast, there were no relationships between IHI at rest and motor behavior. ConclusionsAbnormal state-dependent interhemispheric circuit activity may be more sensitive to post-stroke motor deficits than when assessed in a single motor state. SignificanceCharacterizing state-dependent changes in neural circuitry may enhance models of stroke recovery and inform rehabilitation interventions.

Molecular and network-level mechanisms explaining individual differences in autism spectrum disorder.

The mechanisms underlying phenotypic heterogeneity in autism spectrum disorder (ASD) are not well understood. Using a large neuroimaging dataset, we identified three latent dimensions of functional brain network connectivity that predicted individual differences in ASD behaviors and were stable in cross-validation. Clustering along these three dimensions revealed four reproducible ASD subgroups with distinct functional connectivity alterations in ASD-related networks and clinical symptom profiles that were reproducible in an independent sample. By integrating neuroimaging data with normative gene expression data from two independent transcriptomic atlases, we found that within each subgroup, ASD-related functional connectivity was explained by regional differences in the expression of distinct ASD-related gene sets. These gene sets were differentially associated with distinct molecular signaling pathways involving immune and synapse function, G-protein-coupled receptor signaling, protein synthesis and other processes. Collectively, our findings delineate atypical connectivity patterns underlying different forms of ASD that implicate distinct molecular signaling mechanisms.