Daniel Joel Shaw
@aston.ac.uk
School of Psychology
Aston University
As a social cognitive neuroscientist, I develop experimental paradigms and neuroimaging techniques to investigate the brain systems that support social cognition (e.g., perspective taking, empathy). Currently, I am developing interactive ("second-person") paradigms that can be used to measure brain function from two individuals simultaneously whilst they engage in social interaction with one another. This "hyperscanning" allows me to explore the brain systems associated with social cognitive process while they unfold during real interpersonal behaviour.
EDUCATION
2016-2017 Postgraduate Certificate of Academic Practice (Lancaster University)
2007-2011 Ph.D. Social Neuroscience (Brain & Body Centre, University of Nottingham)
2006-2007 M.Sc. Psychological Research Methods: Merit (University of Nottingham)
2003-2006 B.Sc. Psychology: 2:1 (University of Nottingham)
RESEARCH, TEACHING, or OTHER INTERESTS
Experimental and Cognitive Psychology, Cognitive Neuroscience
FUTURE PROJECTS
Social brain fingerprints: using network science to extract neural correlates of interpersonal (dys)function.
Establishing and maintaining meaningful interpersonal relationships is crucial for our mental and physical well-being. This relies on our ability to interact effectively with others - our "interpersonal competencies". This PhD project will extend preliminary finding from the project team: First, it will determine how different brain networks integrate with one another during social behaviour by imaging the brains of individuals during second-person paradigms (Objective 1). Second, it will determine the physical connections that mediate the efficiency of these brain network integrations (Objective 2). Third, it will combine these functional and structural brain datasets to construct social brain networks from which we can reliably identify individuals and estimate their interpersonal competencies (Objective 3).
Applications Invited
PhD student
Scopus Publications
Scopus Publications
Charlotte R. Pennington, Evelyn A.H. Murray, Linda K. Kaye, Adrian P. Burgess, Klaus Kessler, and Daniel J. Shaw
Elsevier BV
Rachel Lara Green, Sarah Joanne Carrington, Daniel Joel Shaw, and Klaus Kessler
SAGE Publications
As many autistic individuals report mentalizing difficulties into adulthood, the current pre-registered study investigated potential differences in belief reasoning and/or visual perspective taking between autistic and non-autistic adults. The Seeing-Believing task was administered to 121 gender-balanced participants online (57 with a self- reported diagnosis of an autism spectrum condition and 64 without), as well as Raven’s Progressive Matrices (on which the groups did not significantly differ) and the Autism Spectrum Quotient. Non-autistic adults replicated previous findings with this task, revealing slower responses to belief-reasoning than to perspective-taking trials. Autistic adults did not show significantly slower or more error-prone performance during perspective taking and/or belief reasoning. In fact, the autistic group committed significantly fewer mistakes, including fewer altercentric intrusions. The main group difference in response times was a steeper increase with increasing angular disparity between self and other in the autistic group. We discuss our findings in terms of differences in self-other control, but emphasise that our findings cannot be explained in terms of simplistic deficit-based notions of autism and suggest that autistic adults might favour slightly different strategies when judging another’s perspective or belief. Lay abstract Many autistic individuals report difficulties in social situations, where they are required to think about what goes on in others’ minds. These states of the mind can include how others perceive the world around them, their beliefs, or their desires. While research has shown that autistic children could be delayed in developing their full capacity in this regard, less is known about how adults process others’ experiences and beliefs. Here we used a novel task and asked adults to participate online. Participants self-reported whether they had been diagnosed with autism or not and we split them into two groups depending on their response. We also asked participants to fill in a self-report questionnaire about social preferences and habits and we also asked them to conduct a test of their nonverbal reasoning ability. Importantly, the autistic and the non-autistic groups did not differ in their nonverbal reasoning abilities, and on our task, we observed that the autistic group committed fewer mistakes than the non-autistic group. Autistic participants were particularly fast and made fewer mistakes on those responses that overlapped with their own view and belief of reality. In conclusion, our findings do not support a simple view of autism in terms of deficits in either social or more general thinking abilities. Instead, autistic adults might favour slightly different ways of thinking about other’s experiences and beliefs that is more firmly linked to their own experience and knowledge.
Kristína Czekóová, Radek Mareček, Rostislav Staněk, Calum Hartley, Klaus Kessler, Pavlína Hlavatá, Hana Ošlejšková, Milan Brázdil, and Daniel Joel Shaw
Wiley
ABSTRACTTo identify the neurocognitive mechanisms underpinning the social difficulties that characterize autism, we performed functional magnetic resonance imaging on pairs of autistic and non‐autistic adults simultaneously whilst they interacted with one another on the iterated Ultimatum Game (iUG)—an interactive task that emulates the reciprocal characteristic of naturalistic interpersonal exchanges. Two age‐matched sets of male–male dyads were investigated: 16 comprised an autistic Responder and a non‐autistic Proposer, and 19 comprised non‐autistic pairs of Responder and Proposer. Players' round‐by‐round behavior on the iUG was modeled as reciprocal choices, and dynamic functional connectivity (dFC) was measured to identify the neural mechanisms underpinning reciprocal behaviors. Behavioral expressions of reciprocity were significantly reduced in autistic compared with non‐autistic Responders, yet no such differences were observed between the non‐autistic Proposers in either set of dyads. Furthermore, we identified latent dFC states with temporal properties associated with reciprocity. Autistic interactants spent less time in brain states characterized by dynamic inter‐network integration and segregation among the Default Mode Network and cognitive control networks, suggesting that their reduced expressions of social–emotional reciprocity reflect less efficient reconfigurations among brain networks supporting flexible cognition and behavior. These findings advance our mechanistic understanding of the social difficulties characterizing autism.
Charlotte R. Pennington, Kayley Birch-Hurst, Matthew Ploszajski, Kait Clark, Craig Hedge, and Daniel J. Shaw
Springer Science and Business Media LLC
Abstract Social cognitive skills are crucial for positive interpersonal relationships, health, and wellbeing and encompass both automatic and reflexive processes. To assess this myriad of skills, researchers have developed numerous experimental tasks that measure automatic imitation, emotion recognition, empathy, perspective taking, and intergroup bias and have used these to reveal important individual differences in social cognition. However, the very reason these tasks produce robust experimental effects – low between-participant variability – can make their use as correlational tools problematic. We performed an evaluation of test–retest reliability for common experimental tasks that measure social cognition. One-hundred and fifty participants completed the race-Implicit Association Test (r-IAT), Stimulus–Response Compatibility (SRC) task, Emotional Go/No-Go (eGNG) task, Dot Perspective-Taking (DPT) task, and State Affective Empathy (SAE) task, as well as the Interpersonal Reactivity Index (IRI) and indices of Explicit Bias (EB) across two sessions within 3 weeks. Estimates of test–retest reliability varied considerably between tasks and their indices: the eGNG task had good reliability (ICC = 0.63–0.69); the SAE task had moderate-to-good reliability (ICC = 0.56–0.77); the r-IAT had moderate reliability (ICC = 0.49); the DPT task had poor-to-good reliability (ICC = 0.24–0.60); and the SRC task had poor reliability (ICC = 0.09–0.29). The IRI had good-to-excellent reliability (ICC = 0.76–0.83) and EB had good reliability (ICC = 0.70–0.77). Experimental tasks of social cognition are used routinely to assess individual differences, but their suitability for this is rarely evaluated. Researchers investigating individual differences must assess the test–retest reliability of their measures.
Charlotte R. Pennington, Michelle C. -S. -Y. Oxtoby, and Daniel J. Shaw
American Psychological Association (APA)
Rachel Green, Daniel Joel Shaw, and Klaus Kessler
Elsevier BV
D.J. Shaw, K. Czekóová, R. Mareček, B. Havlice Špiláková, and M. Brázdil
Elsevier BV
Charlotte R. Pennington, Matthew Ploszajski, Parmesh Mistry, Nicola NgOmbe, Charlotte Back, Sam Parsons, and Daniel J. Shaw
Frontiers Media SA
BackgroundThe race-based Implicit Association Test (IAT) was proposed to measure individual differences in implicit racial bias subsumed within social cognition. In recent years, researchers have debated the theoretical tenets underpinning the IAT, questioning whether performance on this task: (1) measures implicit attitudes that operate automatically outside of conscious awareness; (2) reflects individual differences in social cognition; and (3) can predict social behavior. One way to better address these research questions is to assess whether the race-IAT correlates with other implicit processes that are subsumed within social cognition.AimsThe current study assessed whether the race-IAT was related to other commonly used individual difference measures of implicit (and explicit) social cognition. Experiment 1 assessed whether dissociable patterns of performance on the race-IAT were related to measures of implicit imitative tendencies, emotion recognition and perspective taking toward White task actors, as well as explicit measures of trait and state affective empathy and racial bias. Overcoming limitations of task conceptual correspondence, Experiment 2 assessed whether these latter tasks were sensitive in detecting racial biases by using both White and Black task actors and again examined their relationships with the race-IAT.MethodIn two lab-based experiments, 226 and 237 participants completed the race-IAT followed by an extensive battery of social cognition measures.ResultsAcross both experiments, pro-White/anti-Black bias on the race-IAT was positively related to a pro-White bias on explicit measures of positive affective empathy. However, relationships between the race-IAT and implicit imitative tendencies, perspective taking, emotion recognition, and explicit trait and negative state affective empathy were statistically equivalent.ConclusionThe race-IAT was consistently related to explicit measures of positive state affective empathy but not to other individual difference measures of implicit social cognition. These findings are discussed with regards to the theoretical underpinnings of the race-IAT as an individual difference measure of implicit social cognition, as well as alternative explanations relating to the reliability of social cognition measures and the various combinations of general-purpose (social and non-social) executive processes that underpin performance on these tasks.
Daniel J. Shaw, Linda K. Kaye, Nicola Ngombe, Klaus Kessler, and Charlotte R. Pennington
Public Library of Science (PLoS)
Studies have produced vastly disparate findings when exploring relationships between social networking site (SNS) usage and psychosocial well-being. These inconsistencies might reflect a lack of consideration for how people use SNS; specifically, while meaningful interactions are suggested to foster positive feelings, the passive consumption of others’ feeds is proposed to have negative effects on users’ well-being. To facilitate the empirical evaluation of these claims, the present study developed a computerised task to measure styles of usage on a mock SNS platform. Administering this Social Network Site Behaviour Task (SNSBT) online to 526 individuals, we identified three dissociable usage styles that extend the active-passive dichotomy employed frequently in the literature: passive use (consuming content posted by others), reactive use (reacting to others’ content), and interactive use (interacting with others through content sharing). Furthermore, our data reveal that these usage styles differ on several measures of psychosocial variables employed frequently in the disparate literature: more interactive users reported greater feelings of social connectedness and social capital than passive or reactive users. Importantly, however, our results also reveal the multi-dimensional nature of usage styles, with online network size and time spent on SNS platforms serving as potentially confounding influences on some psychosocial measures. These findings not only advance our understanding of SNS behaviour by providing empirical support for theoretic propositions, but also demonstrate the utility of the SNSBT for experimental investigations into the psychosocial outcomes of different SNS usage styles.
Nicola Ngombe, Klaus Kessler, and Daniel Joel Shaw
Elsevier BV
Kristína Czekóová, Daniel Joel Shaw, Martin Lamoš, Beáta Havlice Špiláková, Miguel Salazar, Robert Roman, and Milan Brázdil
Wiley
This study investigated whether differences between personality styles in the processing of social stimuli reflect variability in underlying general‐purpose or social‐specific neurocognitive mechanisms. Sixty‐five individuals classified previously into two distinct personality profiles underwent high‐density electroencephalography whilst performing tasks that tap into both aspects of cognitive processing – namely, two distinct facets of general‐purpose response inhibition (interference resolution and action withholding) during social information processing. To determine the stage of processing at which personality differences manifest, we assessed event‐related components associated with the early visual discrimination of social stimuli (N170, N190) and later more general conflict‐related processes (N2, P3). Although a performance index of interference resolution was comparable between the personality profiles, differences were detected in action withholding. Specifically, individuals expressing a wider repertoire of personality styles and more adaptive emotion regulation performed significantly better at withholding inappropriate actions to neutral faces presented in emotional contexts compared with those exhibiting stronger preferences for fewer and less adaptive personality styles and more ruminative affective tendencies. At the neurophysiological level, however, difference between the profiles was observed in brain responses elicited to the same stimuli within the N170. These results indicate that neural processes related to early visual discrimination might contribute to differences in the suppression of inappropriate responses towards social stimuli in populations with different personality dispositions.
Miguel Salazar, Daniel Joel Shaw, Kristína Czekóová, Rostislav Staněk, and Milan Brázdil
Elsevier BV
Eva Zatloukalova, Michal Mikl, Daniel Joel Shaw, Radek Marecek, Lenka Sakalosova, Marie Kuratkova, Kristyna Mitterova, Barbora Sklenarova, and Milan Brazdil
Wiley
AbstractThe phenomenon of déjà vu (DV) has intrigued scientists for decades, yet its neurophysiological underpinnings remain elusive. Brain regions have been identified in which morphometry differs between healthy individuals according to the frequency of their DV experiences. This study built upon these findings by assessing if and how neural activity in these and other brain regions also differ with respect to DV experience. Resting‐state fMRI was performed on 68 healthy volunteers, 44 of whom reported DV experiences (DV group) and 24 who did not (NDV group). Using multivariate analyses, we then assessed the (fractional) amplitude of low‐frequency fluctuations (fALFF/ALFF), a metric that is believed to index brain tissue excitability, for five discrete frequency bands within sets of brain regions implicated in DV and those comprising the default mode network (DMN). Analyses revealed significantly lower values of fALFF/ALFF for specific frequency bands in the DV relative to the NDV group, particularly within mesiotemporal structures, bilateral putamina, right caudatum, bilateral superior frontal cortices, left lateral parietal cortex, dorsal and ventral medial prefrontal cortex, and the posterior cingulate cortex. The pattern of differences in fALFF/ALFF measures between the brains of individuals who have experienced DV and those who have not provides new neurophysiological insights into this phenomenon, including the potential role of the DMN. We suggest that the erroneous feeling of familiarity arises from a temporary disruption of cortico‐subcortical circuitry together with the upregulation of cortical excitability.
Charlotte R. Pennington, Andrew Jones, James E. Bartlett, Amber Copeland, and Daniel J. Shaw
Wiley
AbstractBackground and AimsA range of experimental paradigms claim to measure the cognitive processes underpinning alcohol use, suggesting that heightened attentional bias, greater approach tendencies and reduced cue‐specific inhibitory control are important drivers of consumption. This paper identifies methodological shortcomings within this broad domain of research and exemplifies them in studies focused specifically on alcohol‐related attentional bias.Argument and analysisWe highlight five main methodological issues: (i) the use of inappropriately matched control stimuli; (ii) opacity of stimulus selection and validation procedures; (iii) a credence in noisy measures; (iv) a reliance on unreliable tasks; and (v) variability in design and analysis. This is evidenced through a review of alcohol‐related attentional bias (64 empirical articles, 68 tasks), which reveals the following: only 53% of tasks use appropriately matched control stimuli; as few as 38% report their stimulus selection and 19% their validation procedures; less than 28% used indices capable of disambiguating attentional processes; 22% assess reliability; and under 2% of studies were pre‐registered.ConclusionsWell‐matched and validated experimental stimuli, the development of reliable cognitive tasks and explicit assessment of their psychometric properties, and careful consideration of behavioural indices and their analysis will improve the methodological rigour of cognitive alcohol research. Open science principles can facilitate replication and reproducibility in alcohol research.
Eva Korit́áková, Irena Doležalová, Jan Chládek, Tereza Jurková, Jan Chrastina, Filip Plešinger, Robert Roman, Martin Pail, Pavel Jurák, Daniel J. Shaw,et al.
Frontiers Media SA
Background: Identifying patients with intractable epilepsy who would benefit from therapeutic chronic vagal nerve stimulation (VNS) preoperatively remains a major clinical challenge. We have developed a statistical model for predicting VNS efficacy using only routine preimplantation electroencephalogram (EEG) recorded with the TruScan EEG device (Brazdil et al., 2019). It remains to be seen, however, if this model can be applied in different clinical settings.Objective: To validate our model using EEG data acquired with a different recording system.Methods: We identified a validation cohort of eight patients implanted with VNS, whose preimplantation EEG was recorded on the BrainScope device and who underwent the EEG recording according to the protocol. The classifier developed in our earlier work, named Pre-X-Stim, was then employed to classify these patients as predicted responders or non-responders based on the dynamics in EEG power spectra. Predicted and real-world outcomes were compared to establish the applicability of this classifier. In total, two validation experiments were performed using two different validation approaches (single classifier or classifier voting).Results: The classifier achieved 75% accuracy, 67% sensitivity, and 100% specificity. Only two patients, both real-life responders, were classified incorrectly in both validation experiments.Conclusion: We have validated the Pre-X-Stim model on EEGs from a different recording system, which indicates its application under different technical conditions. Our approach, based on preoperative EEG, is easily applied and financially undemanding and presents great potential for real-world clinical use.
M. Salazar, D.J. Shaw, M. Gajdoš, R. Mareček, K. Czekóová, M. Mikl, and M. Brázdil
Elsevier BV
Kristína Czekóová, Daniel Joel Shaw, Martin Lamoš, Beáta Špiláková, Miguel Salazar, and Milan Brázdil
Springer Science and Business Media LLC
AbstractDuring social interactions, humans tend to imitate one another involuntarily. To investigate the neurocognitive mechanisms driving this tendency, researchers often employ stimulus-response compatibility (SRC) tasks to assess the influence that action observation has on action execution. This is referred to as automatic imitation (AI). The stimuli used frequently in SRC procedures to elicit AI often confound action-related with other nonsocial influences on behaviour; however, in response to the rotated hand-action stimuli employed increasingly, AI partly reflects unspecific up-right/down-left biases in stimulus-response mapping. Despite an emerging awareness of this confounding orthogonal spatial-compatibility effect, psychological and neuroscientific research into social behaviour continues to employ these stimuli to investigate AI. To increase recognition of this methodological issue, the present study measured the systematic influence of orthogonal spatial effects on behavioural and neurophysiological measures of AI acquired with rotated hand-action stimuli in SRC tasks. In Experiment 1, behavioural data from a large sample revealed that complex orthogonal spatial effects exert an influence on AI over and above any topographical similarity between observed and executed actions. Experiment 2 reproduced this finding in a more systematic, within-subject design, and high-density electroencephalography revealed that electrocortical expressions of AI elicited also are modulated by orthogonal spatial compatibility. Finally, source localisations identified a collection of cortical areas sensitive to this spatial confound, including nodes of the multiple-demand and semantic-control networks. These results indicate that AI measured on SRC procedures with the rotated hand stimuli used commonly might reflect neurocognitive mechanisms associated with spatial associations rather than imitative tendencies.
Martin Pail, Jan Cimbálník, Robert Roman, Pavel Daniel, Daniel J. Shaw, Jan Chrastina, and Milan Brázdil
Springer Science and Business Media LLC
AbstractHippocampal high-frequency electrographic activity (HFOs) represents one of the major discoveries not only in epilepsy research but also in cognitive science over the past few decades. A fundamental challenge, however, has been the fact that physiological HFOs associated with normal brain function overlap in frequency with pathological HFOs. We investigated the impact of a cognitive task on HFOs with the aim of improving differentiation between epileptic and non-epileptic hippocampi in humans. Hippocampal activity was recorded with depth electrodes in 15 patients with focal epilepsy during a resting period and subsequently during a cognitive task. HFOs in ripple and fast ripple frequency ranges were evaluated in both conditions, and their rate, spectral entropy, relative amplitude and duration were compared in epileptic and non-epileptic hippocampi. The similarity of HFOs properties recorded at rest in epileptic and non-epileptic hippocampi suggests that they cannot be used alone to distinguish between hippocampi. However, both ripples and fast ripples were observed with higher rates, higher relative amplitudes and longer durations at rest as well as during a cognitive task in epileptic compared with non-epileptic hippocampi. Moreover, during a cognitive task, significant reductions of HFOs rates were found in epileptic hippocampi. These reductions were not observed in non-epileptic hippocampi. Our results indicate that although both hippocampi generate HFOs with similar features that probably reflect non-pathological phenomena, it is possible to differentiate between epileptic and non-epileptic hippocampi using a simple odd-ball task.
Charlotte R. Pennington, Daniel J. Shaw, Jennifer Adams, Phoebe Kavanagh, Holly Reed, Madeleine Robinson, Emily Shave, and Hollie White
Wiley
AbstractBackground and AimsResearch indicates that high consumers of alcohol exhibit attentional bias (AB) towards alcohol‐related cues, suggestive of a cognitive mechanism that might drive substance seeking. Many tasks that measure AB (e.g. visual probe, addiction Stroop), however, are limited by their reliance on non‐appetitive control cues, the serial presentation of stimuli and their poor internal reliability. The current study employed a visual conjunction search (VCS) task capable of presenting multiple alcoholic and non‐alcoholic appetitive cues simultaneously to assess whether social drinkers attend selectively to alcoholic stimuli. To assess the construct validity of this task, we examined whether alcohol consumption and related problems, subjective craving and drinking motives predict alcohol‐specific AB.Design and settingA VCS task was performed in a laboratory setting, which required participants to detect the presence of appetitive alcoholic (wine, beer) and non‐alcoholic (cola, lemonade) targets within arrays of matching and non‐matching distractors.ParticipantsData from 99 participants were assessed [meanage = 20.77, standard deviation (SD) = 2.98; 64 (65%) females], with 81.8% meeting the threshold for harmful alcohol consumption (meanAUDIT = 12.89, SD = 5.79).MeasurementsSelf‐reports of alcohol consumption and related problems [Alcohol Use Disorders Identification Test (AUDIT)], subjective craving (Alcohol Craving Questionnaire Short Form) and drinking motives (Drinking Motives Questionnaire Short Form) were obtained, and the VCS task measured response times for the correct detection of alcoholic and non‐alcoholic targets.FindingsParticipants were significantly quicker to detect alcoholic relative to non‐alcoholic appetitive targets (P < 0.001, dz = 0.41), which was predicted positively by AUDIT scores (P = 0.013, R2 = 0.06%). The VCS task achieved excellent reliability (α > 0.79), superior to other paradigms.ConclusionsThe visual conjunction search task appears to be a highly reliable method for assessing alcohol‐related attentional bias, and shows that heavy social drinkers prioritize alcoholic cues in their immediate environment.
D. J. Shaw, K. Czekóová, C. R. Pennington, A. W. Qureshi, B. Špiláková, M. Salazar, M. Brázdil, and T. Urbánek
Springer Science and Business Media LLC
Daniel J. Shaw, Kristína Czekóová, Beáta Špiláková, Miguel Salazar, Pavel Řezáč, Veronika Kurečková, Petr Zámečník, and Milan Brázdil
Public Library of Science (PLoS)
Kristína Czekóová, Daniel Joel Shaw, Zuzana Pokorná, and Milan Brázdil
Frontiers Media SA
Beáta Špiláková, Daniel J. Shaw, Kristína Czekóová, Radek Mareček, and Milan Brázdil
Wiley
AbstractIn social interactions, each individual's brain drives an action that, in turn, elicits systematic neural responses in their partner that drive a reaction. Consequently, the brain responses of both interactants become temporally contingent upon one another through the actions they generate, and different interaction dynamics will be underpinned by distinct forms of between‐brain coupling. In this study, we investigated this by “performing functional magnetic resonance imaging on two individuals simultaneously (dual‐fMRI) while they competed or cooperated with one another in a turn‐based or concurrent fashion.” To assess whether distinct patterns of neural coupling were associated with these different interactions, we combined two data‐driven, model‐free analytical techniques: group‐independent component analysis and inter‐subject correlation. This revealed four distinct patterns of brain responses that were temporally aligned between interactants: one emerged during co‐operative exchanges and encompassed brain regions involved in social cognitive processing, such as the temporo‐parietal cortex. The other three were associated with competitive exchanges and comprised brain systems implicated in visuo‐motor processing and social decision‐making, including the cerebellum and anterior cingulate cortex. Interestingly, neural coupling was significantly stronger in concurrent relative to turn‐based exchanges. These results demonstrate the utility of data‐driven approaches applied to “dual‐fMRI” data in elucidating the interpersonal neural processes that give rise to the two‐in‐one dynamic characterizing social interaction.
Eva Pešlová, Radek Mareček, Daniel J. Shaw, Tomáš Kašpárek, Martin Pail, and Milan Brázdil
Wiley
Beáta Špiláková, Daniel J Shaw, Kristína Czekóová, and Milan Brázdil
Oxford University Press (OUP)
RECENT SCHOLAR PUBLICATIONS
GRANT DETAILS
2025-2028 Grant Agency Czech Republic (€168K, Co-investigator): Neurocognitive foundations of social cognition and interpersonal behaviour.
2023-2025 BBSRC (£285K, Principal Investigator): The interacting brain: defining the role of dynamism among canonical brain networks during interactive behaviour.
2022-2023 Experimental Psychology Society (£53K, Co-investigator): Neurocognitive mechanisms underpinning alcohol consumption in adolescence.
2018-2020 Grant Agency Czech Republic (€203.5K, Principal Investigator): Back-and-forth: Investigating the balance between self- and other-goals in negotiation with dual-fMRI.
2017-2018 Czech-BioImaging (€10.8K, Co-investigator): Understanding social deficits in autism: A dual-fMRI investigation using the iterated Ultimatum Game.
2016-2018 Grant Agency Czech Republic (€166.7K, Principal Investigator): Improving driver-rehabilitation programs: A neurobehavioural evaluation of empathy induction.
2015-2017 Grant Agency Czech Republic (€158.3K, Co-investigator): Individual differences in self-other distinction.
CONSULTANCY
Cognition Agency