Can group membership modulate the social abilities of autistic people? An intergroup bias in smile perception.

Autistic adults struggle to reliably differentiate genuine and posed smiles. Intergroup bias is a promising factor that may modulate smile discrimination performance, which has been shown in neurotypical adults, and which could highlight ways to make social interactions easier. However, it is not clear whether this bias also exists in autistic people. Thus, the current study aimed to investigate this in autism using a minimal group paradigm. Seventy-five autistic and sixty-one non-autistic adults viewed videos of people making genuine or posed smiles and were informed (falsely) that some of the actors were from an in-group and others were from an out-group. The ability to identify smile authenticity of in-group and out-group members and group identification were assessed. Our results revealed that both groups seemed equally susceptible to ingroup favouritism, rating ingroup members as more genuine, but autistic adults also generally rated smiles as less genuine and were less likely to identify with ingroup members. Autistic adults showed reduced sensitivity to the different smile types but the absence of an intergroup bias in smile discrimination in both groups seems to indicate that membership can only modulate social judgements but not social abilities. These findings suggest a reconsideration of past findings that might have misrepresented the social judgements of autistic people through introducing an outgroup disadvantage, but also a need for tailored support for autistic social differences that emphasizes similarity and inclusion between diverse people.

Evaluative contexts facilitate implicit mentalizing: relation to the broader autism phenotype and mental health.

One promising account for autism is implicit mentalizing difficulties. However, this account and even the existence of implicit mentalizing have been challenged because the replication results are mixed. Those unsuccessful replications may be due to the task contexts not being sufficiently evaluative. Therefore, the current study developed a more evaluative paradigm by implementing a prompt question. This was assessed in 60 non-autistic adults and compared with a non-prompt version. Additionally, parents of autistic children are thought to show a genetic liability to autistic traits and cognition and often report mental health problems, but the broader autism phenotype (BAP) is an under-researched area. Thus, we also aimed to compare 33 BAP and 26 non-BAP mothers on mentalizing abilities, autistic traits, compensation and mental health. Our results revealed that more evaluative contexts can facilitate implicit mentalizing in BAP and non-BAP populations, and thus improve task reliability and replicability. Surprisingly, BAP mothers showed better implicit mentalizing but worse mental health than non-BAP mothers, which indicates the heterogeneity in the broader autism phenotype and the need to promote BAP mothers' psychological resilience. The findings underscore the importance of contexts for implicit mentalizing and the need to profile mentalizing and mental health in BAP parents.

Anxiety and Disruptive Behavior Symptoms and Disorders in Preschool-Age Offspring of Parents With and Without Bipolar Disorder: Associations With Parental Comorbidity.

OBJECTIVE: We examined the relative contribution of parental bipolar disorder (BPD) and psychiatric comorbidities (disruptive behavior disorders [DBD] and anxiety disorders) in predicting psychiatric symptoms and disorders in 2-5-year-old offspring. METHODS: Participants were 60 families with a parent with BPD and 78 offspring and 70 comparison families in which neither parent had a mood disorder and 91 offspring. Parent and offspring diagnoses and symptoms were assessed using standardized diagnostic interviews and measures, with offspring assessors masked to parental diagnoses. RESULTS: Offspring of parents with BPD had significant elevations in behavioral, mood and anxiety disorders and symptoms. Both parental BPD and DBD contributed to elevations in child disruptive behavioral symptoms, whereas child anxiety symptoms were more strongly predicted by comorbid parental anxiety. Parental BPD was a stronger predictor than comorbid DBD of child DBDs. CONCLUSION: Some of the elevated risk for disorders in preschoolers is accounted for by parental comorbidity.

Social anxiety is more likely to influence reputation management decisions than autistic traits.

People manage their social reputation by selectively sharing achievements, thereby shaping the way others think about them. Autistic traits and social anxiety may have opposing impacts on reputation management. This study aimed to identify the influence of autistic traits and social anxiety on reputation management behavior, independently and in co-occurrence with one another. Seventy-seven adults with varying levels of autistic and social anxiety traits completed a novel self-disclosure task that required them to complete a computerized game and decide whether to disclose their scores to another participant. This design provided a safe social environment for sharing performance outcomes and allowed us to manipulate performance outcomes for participants and set a perceived 'norm' of high self-disclosure. Results showed that participants were more likely to disclose their high than low scores to the other player. Social anxiety reliably predicted the likelihood of disclosing their scores while high autistic traits predicted the likelihood of disclosure only in combination with high social anxiety. Additionally, establishing the norm of high disclosure facilitated self-disclosure in all the participants. This study shows that social anxiety may influence reputation management via selective self-disclosure more when co-occurring with high autistic traits. People with varying levels of autistic traits may not behave differently to maintain a social reputation.

The Relationship of Self-identified Weight Status With Perceived Mental and Physical Health.

OBJECTIVE: This study examined whether individuals with higher weight (body mass index in the overweight or obesity range) self-identified as having overweight or obesity (Ow/Ob). The study also examined whether self-identifying as having Ow/Ob was associated with perceived mental health, perceived physical health, depression, and eating disorder psychopathology. METHODS: Four study groups were created: those with Ow/Ob who self-identified as having Ow/Ob (Ow/Ob+), those with Ow/Ob who did not self-identify as having Ow/Ob (Ow/Ob-), those with core features of binge-eating disorder (BED) and Ow/Ob, and those with bulimia nervosa (BN) and Ow/Ob. Analyses of variance compared study groups on perceived health, depression, and eating disorder psychopathology. RESULTS: The BED and BN groups were more likely to self-identify as having overweight/obesity compared with Ow/Ob groups without eating disorders. The Ow/Ob- group had the best-perceived health and the lowest levels of eating disorder psychopathology and depression compared with the other groups. The Ow/Ob+ group had better perceived mental health than the BED and BN groups but did not differ significantly from the Ow/Ob- group in perceived mental health. Perceived physical health in the Ow/Ob+ group was better than in the BED group and worse than in the Ow/Ob- group. The Ow/Ob+ group had higher levels of eating disorder psychopathology than the Ow/Ob- group. CONCLUSIONS: Self-identifying as having obesity is associated with eating disorder psychopathology as well as poorer perceived mental and physical health. Providers should engage patients in discussions about their weight with the understanding that self-identifying as having overweight or obesity might indicate the presence of eating disorder psychopathology. Future clinical research should investigate the directionality or possible bidirectionality of this relationship.

Brain mechanisms of social signalling in live social interactions with autistic and neurotypical adults.

The simple act of watching another person can change a person's behaviour in subtle but important ways; the individual being watched is now capable of signalling to the watcher, and may use this opportunity to communicate to the watcher. Recent data shows that people will spontaneously imitate more when being watched. Here, we examine the neural and cognitive mechanisms of being watched during spontaneous social imitation in autistic and neurotypical adults using fNIRS brain imaging. Participants (n = 44) took part in a block-moving task where they were instructed only to copy the block sequence which people normally do using a straight low action trajectory. Here, the demonstrator sometimes used an atypical 'high' action trajectory, giving participants the opportunity to spontaneously copy the high trajectory even if this slowed their performance. The confederate who demonstrated each block sequence could watch the participant's actions or close her eyes, giving a factorial design with factors of trajectory (high/low) and watched (watched/unwatched). Throughout the task, brain signals were captured from bilateral temporal/parietal/occipital cortex using fNIRS. We found that all participants performed higher actions when being watched by the confederate than when not being watched, with no differences between autistic and neurotypical participants. The unwatched conditions were associated with higher activity of the right inferior parietal lobule in all participants and also engagement of left STS only in autistic participants. These findings are consistent with the claim that people engage different neural mechanisms when watched and unwatched and that participants with autism may engage additional brain mechanisms to match neurotypical behaviour and compensate for social difficulties. However, further studies will be needed to replicate these results in a larger sample of participants.

Human-like interactions prompt people to take a robot's perspective.

The increasing need for human-robot interaction requires not only robots to understand how humans think, but also humans to understand robots. Interestingly, little attention has been given to how humans interpret robots' behaviors. In this study, we adopted a social mental rotation task and investigated whether socially engaging behaviors could influence how people take a robot's perspectives. In a real lab, two android robots with neutral appearance sat opposite each other by a table with conflicting perspectives. Before the participant started the experiment, one of the robots behaved more interactively than the other by showing more socially engaging behaviors. Then the participant was required to identify rotated normal or mirrored digits presented inbetween the two robots. Results revealed a significant interactive effect between the digits type (normal; mirrored) and robot type (interactive; noninteractive). When digits were oriented to the interactive robot, we found a larger RT difference between normal and mirrored digits. In general, these findings suggested that robots' interactive behaviors could influence how people spontaneously consider the robot's perspective. Future studies may further consider how interactive behaviors can shape human-robot relationships and facilitate human-robot interaction.

Are there dedicated neural mechanisms for imitation? A study of grist and mills.

Are there brain regions that are specialized for the execution of imitative actions? We compared two hypotheses of imitation: the mirror neuron system (MNS) hypothesis predicts frontal and parietal engagement which is specific to imitation, while the Grist-Mills hypothesis predicts no difference in brain activation between imitative and matched non-imitative actions. Our delayed imitation fMRI paradigm included two tasks, one where correct performance was defined by a spatial rule and another where it was defined by an item-based rule. For each task, participants could learn a sequence from a video of a human hand performing the task, from a matched "Ghost" condition, or from text instructions. When participants executed actions after seeing the Hand demonstration (compared to Ghost and Text demonstrations), no activation differences occurred in frontal or parietal regions; rather, activation was localized primarily to occipital cortex. This adds to a growing body of evidence which indicates that imitation-specific responses during action execution do not occur in canonical mirror regions, contradicting the mirror neuron system hypothesis. However, activation differences did occur between action execution in the Hand and Ghost conditions outside MNS regions, which runs counter to the Grist-Mills hypothesis. We conclude that researchers should look beyond these hypotheses as well as classical MNS regions to describe the ways in which imitative actions are implemented by the brain.

Autistic adults benefit from and enjoy learning via social interaction as much as neurotypical adults do.

BACKGROUND: Autistic people show poor processing of social signals (i.e. about the social world). But how do they learn via social interaction? METHODS: 68 neurotypical adults and 60 autistic adults learned about obscure items (e.g. exotic animals) over Zoom (i) in a live video-call with the teacher, (ii) from a recorded learner-teacher interaction video and (iii) from a recorded teacher-alone video. Data were analysed via analysis of variance and multi-level regression models. RESULTS: Live teaching provided the most optimal learning condition, with no difference between groups. Enjoyment was the strongest predictor of learning: both groups enjoyed the live interaction significantly more than other condition and reported similar anxiety levels across conditions. LIMITATIONS: Some of the autistic participants were self-diagnosed-however, further analysis where these participants were excluded showed the same results. Recruiting participants over online platforms may have introduced bias in our sample. Future work should investigate learning in social contexts via diverse sources (e.g. schools). CONCLUSIONS: These findings advocate for a distinction between learning about the social versus learning via the social: cognitive models of autism should be revisited to consider social interaction not just as a puzzle to decode but rather a medium through which people, including neuro-diverse groups, learn about the world around them. Trial registration Part of this work has been pre-registered before data collection https://doi.org/10.17605/OSF.IO/5PGA3.

Exploring the relationship between food disgust and avoidant/restrictive food intake disorder (ARFID) presentations in a non-clinical collegiate sample.

OBJECTIVE: Disgust is an established mechanism driving restrictive eating behavior. Avoidant/restrictive food intake disorder (ARFID) is a restrictive eating disorder diagnosis characterized by extremely selective eating with three hypothesized presentations. It has been suggested that disgust is significantly associated with ARFID; however, there is limited empirical research to support this hypothesis. This study explores relationships between food-specific disgust, ARFID symptoms, and ARFID presentations. METHOD: Undergraduate students (n = 443, Mage = 19.14 years [SD = 1.25], 50.1% female, 52.7% White) completed a validated measure of food-specific disgust and an established self-report screening tool for the likely presence of ARFID and hypothesized ARFID presentations. RESULTS: Sixty-nine (14.5%) participants screened positively for the likely presence of ARFID. Food disgust did not differ between those who did and did not screen positively for ARFID (p > .05). Within the subsample of those screening positive for ARFID, disgust was not related to any of the three hypothesized presentations of ARFID (all p > .05). DISCUSSION: Our results did not show a significant association between disgust and positive ARFID screen or any of the hypothesized ARFID presentations. Importantly, these negative findings were obtained using validated screening tools for ARFID. Future research should seek to replicate these findings in clinical samples to further inform treatment. PUBLIC SIGNIFICANCE: Avoidant/restrictive food intake disorder (ARFID) is associated with significant medical and psychosocial complications, but the mechanism involved in its development and maintenance remain poorly understood. Findings from this study of college students screening positively for ARFID suggests that food disgust in not a key driver of ARFID symptoms. Exposure-based approaches, which are generally not thought to be effective in targeting disgust, may thus be appropriate in the treatment of ARFID.

Face2face: advancing the science of social interaction.

Face-to-face interaction is core to human sociality and its evolution, and provides the environment in which most of human communication occurs. Research into the full complexities that define face-to-face interaction requires a multi-disciplinary, multi-level approach, illuminating from different perspectives how we and other species interact. This special issue showcases a wide range of approaches, bringing together detailed studies of naturalistic social-interactional behaviour with larger scale analyses for generalization, and investigations of socially contextualized cognitive and neural processes that underpin the behaviour we observe. We suggest that this integrative approach will allow us to propel forwards the science of face-to-face interaction by leading us to new paradigms and novel, more ecologically grounded and comprehensive insights into how we interact with one another and with artificial agents, how differences in psychological profiles might affect interaction, and how the capacity to socially interact develops and has evolved in the human and other species. This theme issue makes a first step into this direction, with the aim to break down disciplinary boundaries and emphasizing the value of illuminating the many facets of face-to-face interaction. This article is part of a discussion meeting issue 'Face2face: advancing the science of social interaction'.

Learning from others is good, with others is better: the role of social interaction in human acquisition of new knowledge.

Learning in humans is highly embedded in social interaction: since the very early stages of our lives, we form memories and acquire knowledge about the world from and with others. Yet, within cognitive science and neuroscience, human learning is mainly studied in isolation. The focus of past research in learning has been either exclusively on the learner or (less often) on the teacher, with the primary aim of determining developmental trajectories and/or effective teaching techniques. In fact, social interaction has rarely been explicitly taken as a variable of interest, despite being the medium through which learning occurs, especially in development, but also in adulthood. Here, we review behavioural and neuroimaging research on social human learning, specifically focusing on cognitive models of how we acquire semantic knowledge from and with others, and include both developmental as well as adult work. We then identify potential cognitive mechanisms that support social learning, and their neural correlates. The aim is to outline key new directions for experiments investigating how knowledge is acquired in its ecological niche, i.e. socially, within the framework of the two-person neuroscience approach. This article is part of the theme issue 'Concepts in interaction: social engagement and inner experiences'.

Exploring Theater Neuroscience: Using Wearable Functional Near-infrared Spectroscopy to Measure the Sense of Self and Interpersonal Coordination in Professional Actors.

Ecologically valid research and wearable brain imaging are increasingly important in cognitive neuroscience as they enable researchers to measure neural mechanisms of complex social behaviors in real-world environments. This article presents a proof of principle study that aims to push the limits of what wearable brain imaging can capture and find new ways to explore the neuroscience of acting. Specifically, we focus on how to build an interdisciplinary paradigm to investigate the effects of taking on a role on an actor's sense of self and present methods to quantify interpersonal coordination at different levels (brain, physiology, behavior) as pairs of actors rehearse an extract of a play prepared for live performance. Participants were six actors from Flute Theatre, rehearsing an extract from Shakespeare's A Midsummer Night's Dream. Sense of self was measured in terms of the response of the pFC to hearing one's own name (compared with another person's name). Interpersonal coordination was measured using wavelet coherence analysis of brain signals, heartbeats, breathing, and behavior. Findings show that it is possible to capture an actor's pFC response to their own name and that this response is suppressed when an actor rehearses a segment of the play. In addition, we found that it is possible to measure interpersonal synchrony across three modalities simultaneously. These methods open the way to new studies that can use wearable neuroimaging and hyperscanning to understand the neuroscience of social interaction and the complex social-emotional processes involved in theatrical training and performing theater.

Social signalling as a framework for second-person neuroscience.

Despite the recent increase in second-person neuroscience research, it is still hard to understand which neurocognitive mechanisms underlie real-time social behaviours. Here, we propose that social signalling can help us understand social interactions both at the single- and two-brain level in terms of social signal exchanges between senders and receivers. First, we show how subtle manipulations of being watched provide an important tool to dissect meaningful social signals. We then focus on how social signalling can help us build testable hypotheses for second-person neuroscience with the example of imitation and gaze behaviour. Finally, we suggest that linking neural activity to specific social signals will be key to fully understand the neurocognitive systems engaged during face-to-face interactions.

Prefrontal cortical activation associated with prospective memory while walking around a real-world street environment.

Rostral PFC (area 10) activation is common during prospective memory (PM) tasks. But it is not clear what mental processes these activations index. Three candidate explanations from cognitive neuroscience theory are: (i) monitoring of the environment; (ii) spontaneous intention retrieval; (iii) a combination of the two. These explanations make different predictions about the temporal and spatial patterns of activation that would be seen in rostral PFC in naturalistic settings. Accordingly, we plotted functional events in PFC using portable fNIRS while people were carrying out a PM task outside the lab and responding to cues when they were encountered, to decide between these explanations. Nineteen people were asked to walk around a street in London, U.K. and perform various tasks while also remembering to respond to prospective memory (PM) cues when they detected them. The prospective memory cues could be either social (involving greeting a person) or non-social (interacting with a parking meter) in nature. There were also a number of contrast conditions which allowed us to determine activation specifically related to the prospective memory components of the tasks. We found that maintaining both social and non-social intentions was associated with widespread activation within medial and right hemisphere rostral prefrontal cortex (BA 10), in agreement with numerous previous lab-based fMRI studies of prospective memory. In addition, increased activation was found within lateral prefrontal cortex (BA 45 and 46) when people were maintaining a social intention compared to a non-social one. The data were then subjected to a GLM-based method for automatic identification of functional events (AIDE), and the position of the participants at the time of the activation events were located on a map of the physical space. The results showed that the spatial and temporal distribution of these events was not random, but aggregated around areas in which the participants appeared to retrieve their future intentions (i.e., where they saw intentional cues), as well as where they executed them. Functional events were detected most frequently in BA 10 during the PM conditions compared to other regions and tasks. Mobile fNIRS can be used to measure higher cognitive functions of the prefrontal cortex in "real world" situations outside the laboratory in freely ambulant individuals. The addition of a "brain-first" approach to the data permits the experimenter to determine not only when haemodynamic changes occur, but also where the participant was when it happened. This can be extremely valuable when trying to link brain and cognition.

Investigation of functional near-infrared spectroscopy signal quality and development of the hemodynamic phase correlation signal.

Significance: There is a longstanding recommendation within the field of fNIRS to use oxygenated ( HbO 2 ) and deoxygenated (HHb) hemoglobin when analyzing and interpreting results. Despite this, many fNIRS studies do focus on HbO 2 only. Previous work has shown that HbO 2 on its own is susceptible to systemic interference and results may mostly reflect that rather than functional activation. Studies using both HbO 2 and HHb to draw their conclusions do so with varying methods and can lead to discrepancies between studies. The combination of HbO 2 and HHb has been recommended as a method to utilize both signals in analysis. Aim: We present the development of the hemodynamic phase correlation (HPC) signal to combine HbO 2 and HHb as recommended to utilize both signals in the analysis. We use synthetic and experimental data to evaluate how the HPC and current signals used for fNIRS analysis compare. Approach: About 18 synthetic datasets were formed using resting-state fNIRS data acquired from 16 channels over the frontal lobe. To simulate fNIRS data for a block-design task, we superimposed a synthetic task-related hemodynamic response to the resting state data. This data was used to develop an HPC-general linear model (GLM) framework. Experiments were conducted to investigate the performance of each signal at different SNR and to investigate the effect of false positives on the data. Performance was based on each signal's mean T -value across channels. Experimental data recorded from 128 participants across 134 channels during a finger-tapping task were used to investigate the performance of multiple signals [ HbO 2 , HHb, HbT, HbD, correlation-based signal improvement (CBSI), and HPC] on real data. Signal performance was evaluated on its ability to localize activation to a specific region of interest. Results: Results from varying the SNR show that the HPC signal has the highest performance for high SNRs. The CBSI performed the best for medium-low SNR. The next analysis evaluated how false positives affect the signals. The analyses evaluating the effect of false positives showed that the HPC and CBSI signals reflect the effect of false positives on HbO 2 and HHb. The analysis of real experimental data revealed that the HPC and HHb signals provide localization to the primary motor cortex with the highest accuracy. Conclusions: We developed a new hemodynamic signal (HPC) with the potential to overcome the current limitations of using HbO 2 and HHb separately. Our results suggest that the HPC signal provides comparable accuracy to HHb to localize functional activation while at the same time being more robust against false positives.

An Approach to Neuroimaging Interpersonal Interactions in Mental Health Interventions.

BACKGROUND: Conventional paradigms in clinical neuroscience tend to be constrained in terms of ecological validity, raising several challenges to studying the mechanisms mediating treatments and outcomes in clinical settings. Addressing these issues requires real-world neuroimaging techniques that are capable of continuously collecting data during free-flowing interpersonal interactions and that allow for experimental designs that are representative of the clinical situations in which they occur. METHODS: In this work, we developed a paradigm that fractionates the major components of human-to-human verbal interactions occurring in clinical situations and used functional near-infrared spectroscopy to assess the brain systems underlying clinician-client discourse (N = 30). RESULTS: Cross-brain neural coupling between people was significantly greater during clinical interactions compared with everyday life verbal communication, particularly between the prefrontal cortex (e.g., inferior frontal gyrus) and inferior parietal lobule (e.g., supramarginal gyrus). The clinical tasks revealed extensive increases in activity across the prefrontal cortex, especially in the rostral prefrontal cortex (area 10), during periods in which participants were required to silently reason about the dysfunctional cognitions of the other person. CONCLUSIONS: This work demonstrates a novel experimental approach to investigating the neural underpinnings of interpersonal interactions that typically occur in clinical settings, and its findings support the idea that particular prefrontal systems might be critical to cultivating mental health.

Digital self-harm is associated with disordered eating behaviors in adults.

PURPOSE: Eating-disorder psychopathology is associated with self-harm behaviors. With much time spent and many social interactions taking place online, self-cyberbullying has emerged as a new form of self-harm that is digital. The current study examined digital self-harm in adults and its associations with eating-disorder psychopathology and behaviors. METHODS: Participants were adults (N = 1794) who completed an online cross-sectional survey. Participants reported whether they had ever posted mean things about themselves online, whether they had ever anonymously bullied themselves online and completed measures of eating-disorder psychopathology and disordered eating behaviors. RESULTS: Digital self-harm was reported by adults across demographic characteristics and across the lifespan, although there were some significant differences in demographic characteristics associated with reported digital self-harm. Participants who engaged in digital self-harm were younger than those denying digital self-harm. Eating-disorder psychopathology and disordered eating behaviors were significantly higher among individuals reporting digital self-harm compared with age-matched controls. CONCLUSIONS: This was the first study to examine digital self-harm among adults and the first study to examine associations of digital self-harm with eating-disorder psychopathology and disordered eating behaviors. Importantly, digital self-harm is reported by adults and therefore is not limited to youth. Our findings that digital self-harm is associated with disordered eating suggests that digital self-harm is a clinically significant topic that needs further research to inform clinical practice and clinical research. LEVEL OF EVIDENCE: Level III, Evidence obtained from well-designed cohort or case-controlled analytic studies.

Decreased Exercise-Induced Changes in Prefrontal Cortex Hemodynamics Are Associated With Depressive Symptoms.

People with a depressed mood tend to perform poorly on executive function tasks, which require much of the prefrontal cortex (PFC), an area of the brain which has also been shown to be hypo-active in this population. Recent research has suggested that these aspects of cognition might be improved through physical activity and cognitive training. However, whether the acute effects of exercise on PFC activation during executive function tasks vary with depressive symptoms remains unclear. To investigate these effects, 106 participants were given a cardiopulmonary exercise test (CPET) and were administered a set of executive function tests directly before and after the CPET assessment. The composite effects of exercise on the PFC (all experimental blocks) showed bilateral activation changes in dorsolateral (BA46/9) and ventrolateral (BA44/45) PFC, with the greatest changes occurring in rostral PFC (BA10). The effects observed in right ventrolateral PFC varied depending on level of depressive symptoms (13% variance explained); the changes in activation were less for higher levels. There was also a positive relationship between CPET scores (VO2peak) and right rostral PFC, in that greater activation changes in right BA10 were predictive of higher levels of aerobic fitness (9% variance explained). Since acute exercise ipsilaterally affected this PFC subregion and the inferior frontal gyrus during executive function tasks, this suggests physical activity might benefit the executive functions these subregions support. And because physical fitness and depressive symptoms explained some degree of cerebral upregulation to these subregions, physical activity might more specifically facilitate the engagement of executive functions that are typically associated with hypoactivation in depressed populations. Future research might investigate this possibility in clinical populations, particularly the neural effects of physical activity used in combination with mental health interventions.