Amsterdam Brain and Cognition (ABC)
PI-1 |
Prof. dr. Karin Verweij |
University of Amsterdam, Amsterdam UMC, Faculty of Medicine, Department of Psychiatry |
PI-2 |
Dr. Seval Gündemir |
University of Amsterdam, Faculty of Social and Behavioral Sciences, Department of Psychology, UvA |
Collaborator |
Prof. dr. Serena Does |
Vrije Universiteit Amsterdam, Faculty of Social Sciences, Department of Political Science and Public Administration |
Talent |
Dr. Anil Ori |
Icahn School of Medicine at Mount Sinai, New York, Department of Genetics and Genomic sciences |
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University of Amsterdam, Amsterdam UMC, Faculty of Medicine, Department of Psychiatry |
ABC Talent Grant, September 2022
Depression is an urgent societal problem and one that is not colorblind. Minoritized groups, including those with a migration background, are disproportionally impacted. While psychiatric genetic research has made progress in understanding depression, most research so far has been conducted in individuals of white European ancestry. This limits scientific progress and may exacerbate already existing health disparities.
To address this problem, we will build a roadmap towards inclusive and equitable depression genetic research in the Netherlands. Insights from social science, specifically theory on intersectionality and equity, diversity, and inclusion, will be combined with knowledge and methodology of psychiatric and population genetics to evaluate depression genetic research from a new and transdisciplinary perspective. The ABC grant will help dr. Ori establish the first building blocks of this project to move us towards genetic depression research that serves and benefits all, including those most at risk.
PI-1 |
Lucas Molleman |
University of Amsterdam, Faculty of Social and Behavioural Sciences, Department of Developmental Psychology |
PI-2 |
Jan Hausfeld |
University of Amsterdam, Faculty of Economics and Business, Section Microeconomics |
PI-3 |
Christin Scholz |
University of Amsterdam, Faculty of Social and Behavioural Sciences, Department of Communication Science |
Talent |
Karlijn Hoyer |
Tilburg University (at time of proposal) |
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University of Amsterdam, Faculty of Social and Behavioural Sciences, Department of Developmental Psychology (during the project) |
ABC Talent Grant, September 2022
For societies to adequately respond to challenges like covid-19 and climate change, citizens need to follow rules that prescribe or proscribe behaviour (“do this”, “don’t do that”). This often requires individuals to incur costs, for example, by social distancing or reducing their carbon footprint. Despite the importance of rules for the maintenance of social order and achieving collective goals, it is unclear when and why people follow them.
Rule-following may depend on various factors, including material incentives (e.g., fines), social context (e.g., social norms), and individuals’ personality traits (e.g., greed). We will use controlled decision-making experiments to examine how these factors jointly drive rule compliance, and how the relative importance of these factors varies throughout development. The project leverages ABC’s interdisciplinary strengths, integrating perspectives from developmental psychology, behavioural economics, and communication science. Its results will contribute to our understanding of rule following and its consequences for maintaining social order
PI-1 |
Matthan Caan, PhD |
University of Amsterdam, Amsterdam UMC, Biomedical Engineering and Physics |
PI-2 |
Jorge Mejias, PhD |
University of Amsterdam, Faculty of Science/ Swammerdam Institute for Life Sciences |
Talent |
Nikos Priovoulos, PhD |
Spinoza Centre for Neuroimaging; Netherlands Institute for Neuroscience |
University of Amsterdam, Amsterdam UMC, Biomedical Engineering and Physics |
ABC Talent Grant, September 2022
The human cerebellum (“little brain”) has a large and highly-folded cortical-sheet with an important role across many cognitive domains, including sensorimotor functions. While the neocortical functional units are now emerging in-vivo (orientation-columns/laminar-MRI), human cerebellar research is typically limited on large-scale features (lobules).
Animal research however indicates that, across vertebrates, the computational units of the cerebellar cognitive functions are sagittal stripes, with discrete inputs/outputs and molecular-markers expression. These stripes exist in human but have never been imaged in-vivo to allow exploring their cognitive role, due to their small size and the densely-foliated cerebellar cortex. Our target is to image the human cerebellar stripes as fundamental functional units and explore their cognitive role. To do this we will create a unique MRI platform for human cerebellar imaging, compare these results with 3D-reconstructed histology-stains and examine how the cerebellar stripes modulate neocortical sensorimotor integration, using sensory-motor fMRI and multiscale cerebello-cerebral computational modelling.
PI-1 |
Prof. dr. Eric-Jan Wagenmakers |
University of Amsterdam, Psychological Methods |
PI-2 |
Prof. dr. Edward de Haan |
University of Amsterdam, Brain and Cognition |
Talent |
Dr. Frederik Aust |
University of Amsterdam, Psychological Methods |
ABC Talent Grant: April 2022
Standard pre-post analysis methods employed in lesion studies make an unnecessarily permissive assumption, namely that some individuals may exhibit improved post-lesion ability. This assumption (1) limits the statistical sensitivity of lesion studies (wasting animal lives) and (2) restricts inference to unspecific population averages when researchers seek universal insights that apply to every individual.
To address these problems, we will develop tailored Bayesian hypothesis tests that assume that successful lesioning impairs every individuals’ ability and that can directly quantify evidence for spared abilities. We will use these tests to reevaluate recent evidence that challenges the widely-held belief that the hippocampus is necessary for memory formation in non-human primates. We believe our methods will be useful for studies using permanent (e.g., surgical, genetic knock-out) and transient lesions (e.g., optogenetics, TMS) in humans and animals. We will, therefore, make these methods available in an R package and JASP module.
PI-1 |
Julia Haaf |
UvA, FMG, Psychology |
PI-2 |
Pilou Bazin |
UvA, FMG, Psychology |
Talent |
Suzanne Hoogeveen |
UvA, FMG, Psychology |
ABC Talent Grant: September 2021
Experimental psychology relies on different tasks to study cognitive inhibition. Recently, the reliability of these tasks has been questioned. One major issue is that tasks originally designed to find robust overall effects have limited between-participant variability leading to small and unreliable individual differences. In this project, we aim to investigate whether more resolution to study individual differences can be achieved by combining increasingly richer data sources using sophisticated Bayesian hierarchical modelling techniques.
We first conduct a large-scale simulation study to understand how many trials and participants are needed for different sources of data to successfully assess individual differences. We will then assess how much sensitivity for individual differences can be gained by combining behaviour and neuroimaging in a joint model.
The novel outcomes of this project are two-fold: first, a quantitative assessment of inter-individual and trial-to-trial variability across brain and behaviour, leading to practical guidelines to adjust numbers of subjects, trials, and types of measurements for the investigation of individual differences, and second, a collection of openly accessible joint modelling pipelines optimized for inter-individual differences studies in inhibition and beyond.
PI-1 |
Richard Ridderinkhof |
UvA-FMG Psychology |
PI-2 |
Julian Kiverstein |
UvA-AUMC Psychiatry |
Talent |
Inês Hipólito |
Humboldt U. Berlin, Center for Mind and Brain & UvA-FMG Psychology |
ABC Talent Grant: September 2021
Many of us spend a large part of our lives interacting with other people in digital environments. How does social interaction mediated by digital technologies impact on individual well-being? The aim of this project is to offer a theoretical and formal model that draws on Dr Ridderinkhof's work on network analysis of wellbeing and Dr. Hipólito's extensive neurocomputational modelling experience (in collaboration with Prof Karl Friston) of how technological tools and smart environments can positively and negatively affect wellbeing. A theoretical and formal model of interaction with digital technologies will be developed building on Dr. Hipólito's work on Bayesian active inference. This theoretical and modelling work will deliver a conceptual toolbox that policy makers, psychotherapists, modellers and digital designers can use. The planned studies are cross-disciplinary and will involve close collaboration between the Urban Mental Health project based at AMC, the ILLC, the psychology department and the IAS.
PI-1 |
dr. Tim Ziermans |
Department of Psychology, University of Amsterdam |
PI-2 |
dr. Elsmarieke van der Giessen |
Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC |
Talent |
dr. Jentien Vermeulen |
Department of Psychiatry, Amsterdam UMC, location AMC |
ABC Talent Grant: September 2021
People with psychosis have much higher smoking rates than the general population, they smoke up to three times as often and more cigarettes per day. Smoking has been associated with worse clinical outcomes, including psychotic relapse and readmissions. Daily nicotinergic stimulation and oxidative stress induced by toxic compounds in cigarettes probably induces increased neuronal dysfunction and mental stress. Tobacco use has been linked to structural and functional brain alterations in schizophrenia, but has not been studied before in the early stages of psychosis. Given that smoking e risk factor, it is important to understand underlying neurobiological
mechanisms of this profound link. We will triangulate innovative imaging approaches and data from different stages of psychosis. Insights into tobacco use and brain alterations in early psychosis will further inform us on the relevance and potential neurobiological targets for smoking prevention and treatment.
PI-1 | Anja Lok | Department of Psychiatry, Amsterdam UMC, location AMC |
PI-2 | Ilja Sligt | Faculty of Social and Behavioural Science, UvA |
Talent | Karel Scheepstra | Department of Psychiatry, Amsterdam UMC, location AMC |
ABC Talent Grant April 2021
Repetitive Transcranial Magnetic Stimulation (rTMS) is a non-invasive form of brain stimulation, in which a magnetic coil is placed on the scalp to modify target brain networks. rTMS is an emerging, evidence based and safe treatment option for major depressive disorder (MDD).
A recent study showed that when combining rTMS with cognitive behavioural therapy (CBT) during stimulation, this has an additive effect on relieving symptoms. One of the hypotheses behind this catalytic effect is that depressive networks can be coupled by cognitive tasks, after which rTMS induced neuroplasticity and its antidepressant effects may spread over networks throughout the brain during stimulation.
In this proof-of-concept project, we will use state-of-the-art neuronavigated brain stimulation combined with cognitive tasks, to improve rTMS efficacy and gain better insights in depressive circuitry involved in rTMS responses.
PI-1 | Prof. Judith Rispens | University of Amsterdam, Faculty of Humanities, Dutch Linguistics |
PI-2 | Dr. Josje Verhagen | University of Amsterdam, Faculty of Humanities, Dutch Linguistics |
Talent | Dr. Imme Lammertink | University of Amsterdam, Faculty of Humanities, Dutch Linguistics (affiliation during the Talent Grant project) |
ABC Talent Grant April 2021
To become proficient language users children need to learn how their language is structured at the sound, word, and sentence level. A prominent question in the study of language acquisition is whether children use a domain-general learning mechanism or a language-specific learning mechanism to acquire linguistic structure. The goal of this ABC grant is to further develop an empirical paradigm that addresses this question in an ecologically valid but controlled laboratory setting. Children will be playing interactive games in the linguistic and nonlinguistic domain in which their main task is to convey messages to other children participating in the game. Children can only convey these messages using novel, nonexistent words (linguistic domain) or visual shapes (nonlinguistic domain). We will investigate what types of structure emerge in these games and whether children’s linguistic background (monolinguals versus bilinguals) impacts on the types of structure that emerge.
PI-1 | Joël van der Weele | Faculty of Economics and Business |
PI-2 | Suzanne Oosterwijk | Department of Social Psychology |
Talent | Dianna Amasino | Faculty of Economics and Business |
ABC Talent Grant April 2021
Despite the increasing accessibility of ethical information, consumers underutilize this information, leading to missed societal opportunities to combat forced labour, climate change, and poverty. One potential reason for this under-use may be conflicting information-seeking and avoidance motives surrounding negatively-framed ethical information. Consumers may use ethical information when confronted with it but avoid such information when possible because it is unpleasant to contemplate. With this ABC Talent Grant, we will investigate how positive vs. negative framing of ethical information influences the tension between information-seeking to make informed choices and information-avoidance to reduce unpleasant emotions and the resulting impact on choice. Further, we will bring insights from social psychology to identify potential avenues to increase curiosity for negatively-framed information. In particular, we will explore three methods of generating curiosity for ethical information—providing social norms about other’s information-seeking, shifting the social distance of ethical information, and enhancing empathic concern.
PI-1 | Prof. Dr. D. Denys | Amsterdam UMC, location AMC, Dept. of Psychiatry |
Talent | Dr. R.J.T. Mocking | Amsterdam UMC, location AMC, Dept. of Psychiatry |
ABC Talent Grant September 2020
Deep brain stimulation (DBS) is effective in psychiatric disorders. Several working mechanisms have been proposed, including stimulation of brain white matter tracts to normalize brain activity. If we would better understand the working mechanisms of DBS, we may improve response rates. An interesting factor involved in the working mechanisms of DBS may be neurometabolic networks. Neurometabolic networks determine the brain’s gray and white matter structure and functioning. Lipids are of special interest, because they constitute about half of brain dry weight, and determine white matter integrity. Surprisingly, there is no earlier research on neurometabolic networks and DBS. In this project, we investigate how the molecular structure of the brain interacts with DBS. To this end, we assess neurometabolic networks in a transdiagnostic sample of patients with a psychiatric disorder treated with DBS. If we find associations between neurometabolic features and DBS, these features may be used to enhance and predict response.
PI-1 |
Merel Kindt |
FMG, Department of Clinical Psychology |
PI-2 |
Steven Scholte |
FMG, Department of Brain & Cognition |
Talent |
Anna Gerlicher |
UvA, Department of Psychology, Clinical Psychology |
ABC Talent Grant, September 2020
Learning from threat is highly adaptive and can – from a theoretical point of view – be achieved via different reinforcement learning algorithms with very distinct properties. Whereas one kind of learning relies on updating threat-predictions only when the experienced, differs from the expected outcomevalue (i.e. value prediction error), other forms of learning also integrate unexpected changes in sensory properties of the outcome, using so-called sensory prediction errors. With this ABC talent grant, we aim to investigate whether humans acquire and update fear based on prediction errors of one single, or different reinforcement learning systems. Furthermore, we will investigate the neural circuits supporting these different forms of learning from threat in humans. The acquired knowledge can directly be applied to adapt protocols in (pre-)clinical treatments of anxiety disorders and/or provide an explanation for why fear memories are – under certain conditions – resistant to change.
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PI-1 |
Damiaan Denys |
Amsterdam UMC, location AMC, Dept. of Psychiatry |
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Talent |
Roel Mocking |
Amsterdam UMC, location AMC, Dept. of Psychiatry |
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ABC Talent Grant, September 2020
Deep brain stimulation (DBS) is effective in psychiatric disorders. Several working mechanisms have been proposed, including stimulation of brain white matter tracts to normalize brain activity. If we would better understand the working mechanisms of DBS, we may improve response rates.
An interesting factor involved in the working mechanisms of DBS may be neurometabolic networks. Neurometabolic networks determine the brain’s gray and white matter structure and functioning. Lipids are of special interest, because they constitute about half of brain dry weight, and determine white matter integrity. Surprisingly, there is no earlier research on neurometabolic networks and DBS.
In this project, we investigate how the molecular structure of the brain interacts with DBS. To this end, we assess neurometabolic networks in a transdiagnostic sample of patients with a psychiatric disorder treated with DBS. If we find associations between neurometabolic features and DBS, these features may be used to enhance and predict response.
PI-1 |
Dr. Sanne de Wit |
UvA | FMG, Clinical Psychology |
Talent |
Dr. Tim van Timmeren |
UvA | FMG, Clinical Psychology |
ABC Talent Grant, April 2020
Many young adults spend 3-5 hours daily on social media and some indicate that they feel ‘addicted’, pointing to an emerging public health problem. The idea of a “digital detox” to regain control over social media use has become increasingly popular. However, the effectiveness of detox-interventions remains controversial. The promise of a detox is that it helps to break the habit, but the peril is that it could ultimately lead to intensified use as a consequence of “incubation of craving”. In this ABC Talent project, we aim to elucidate the effects of a digital detox on social media use, and the underlying mechanisms of habit and craving. During and following a detox intervention, we will apply Ecological Momentary Assessment of self-reported craving and automaticity and relate this to duration and frequency of social media use. Additionally, we will conduct an fMRI investigation of the mechanisms underlying a digital detox.
ABC Talent: Milica Nikolić, University of Amsterdam, Research Institute of Child Development and Education
ABC Talent Grant, September 2019
Self-conscious emotions, such as embarrassment and shame, are powerful forces that facilitate social affiliation but dysregulation in self-conscious emotions can significantly impair social functioning. In particular, excessive embarrassment and shame and related blushing responses are hallmark features of social anxiety disorder (SAD), a common mental disorder that starts in adolescence. Little is known about how self-conscious emotions, such as embarrassment and its related blushing response, are generated.
Morever, whether feeling oneself blush triggers more embarrassment via biased interoception and mentalizing about what others think of us—the process thought to underlie SAD— has never been explored. The aim of this project is to shed light on the neural underpinnings of embarrassment including blushing, its self-perception, and related mentalizing in adolescents with high and low levels of social anxiety. Two groups of 30 adolescents with high and low levels of SAD symptoms will sing a song on stage while being video-recorded.
Afterwards, we will play the video of their performance vs. that of another participant to them while measuring their brain activity and blushing in the fMRI scanner. By comparing viewing self vs. other across the high vs. low socially anxious groups, we can, for the first time, identify the neural correlates of blushing and thereby establish how the occurrence and duration of blushing is linked to interoceptive and mentalizing processes. Furthermore, we will establish which neural mechanisms characterize enhanced self-conscious emotions in SAD, and whether they map onto localizers for interoception and mentalizing.
The findings will decompose the processes that may render an adaptive but transient embarrassment in healthy individuals into a debilitating vicious circle of heightened self-consciousness in socially anxious individuals.
PI-1 |
Disa Sauter |
University of Amsterdam | Department of Social Psychology |
PI-2 |
Ramon Lindauer |
Amsterdam UMC | Academic Medical Center, Child and Adolescent Psychiatry |
ABC Talent: Isidoor Bergfeld, Amsterdam UMC, University of Amsterdam, Department of Psychiatry
ABC Talent Grant, April 2019
Autobiographical memories play an important role in forming our identities, imagining ourselves in the future and maintaining long-term goals. The less specific autobiographical memories of patients with major depression, therefore, are hypothesized to result in a failure to maintain long-term goals and, in turn, suicidality. Alternatively, reduced basic cognitive functions of depressed patients could underlie the deficiencies in autobiographical memory as well as future planning. With this ABC talent grant, we aim to see how basic cognitive functions, autobiographical memory, sense of self and future planning interact, and how these relate to psychiatric symptoms.
PI-1 |
Claudi Bockting |
PI-2 |
Esmée Verwijk |
ABC Talent: Maartje de Jong, Spinoza Centre for Neuroimaging, Amsterdam
ABC Talent Grant, April 2019
Recurrent processing is thought to be crucial for consciousness. We will pharmacologically hamper recurrent processing (using an NMDA-blocker) and investigate the effect of this intervention on functional characteristics of visual cortex and the perception of visual illusions. Since illusions occur without stimulus-driven support, we hypothesize a reduction of illusion-strength. Furthermore, we expect modulations of population receptive fields (measured using laminar fMRI) in the deep/superficial but not the middle layers of visual cortex, considering the known involvement of deep/superficial layers in recurrent processing. By combining pharmacology with state-of-the-art neuroimaging we aim to link biochemical with system-level mechanisms underlying conscious perception.
PI-1 |
Simon van Gaal, UvA | Department of Psychology, Brain and Cognition |
PI-2 |
Anouk Schrantee, Amsterdam University Medical Centre, UvA | Radiology and Nuclear Medicine |
PI-1 |
Maarten Marsman |
PI-2 |
Anouk Schrantee |
PI-3 |
Tessa Blanken |
Post-doc |
Don van den Bergh |
ABC Project Grant 2022
Network science has provided numerous insights into brain and behaviour function, albeit mainly in parallel. To enhance our understanding of brain-behaviour interactions, we must integrate brain and behavioural networks. We propose a novel hierarchical approach, in which we (1) bridge the gap between individual-level and group-level networks, and (2) merge brain and behaviour networks. Subsequently, we validate our models in a large ADHD cohort. This new approach can inform future studies using integrated brain-and symptom networks as treatment targets, thereby enabling us to deepen our theoretical understanding of these brain-behaviour links in psychiatric disorders.
PI-1 |
Jakub Szymanik |
PI-2 |
Julia Haaf |
PI-3 |
Ingmar Visser |
Post-doc |
ABC Project Grant 2022
Even though the traditional conception of meaning, formulated in terms of logical truth conditions, has been highly fruitful, resulting in a wealth of theoretical insights, it may be too rigid to account for the wealth of actual data. One pressing issue is the relation between meaning and other aspects of cognition, e.g., available cognitive strategies and individual differences.
This project will propose and study a new theory of semantic representations that puts cognitive differences at the center. We will examine the stability of meaning representations over time and across different semantic tasks. We will investigate which aspects of meaning are rigid and which are sensitive to individual differences or task requirements. Finally, we will explore whether individual differences arise from participants employing various cognitive strategies.
PI-1 |
Umberto Olcese (UvA/FNWI) |
PI-2 |
Timo Stein (UvA/FMG) |
Post-doc |
ABC Project Grant 2022
The neuronal mechanisms underlying conscious perception are strongly debated. In this project we test contrasting predictions of some of the major theories of consciousness. Specifically, we will investigate whether top-down modulation of visual cortex by feedback projections from prefrontal cortex is causally involved in visual perception, as predicted by some major theory of consciousness (e.g., Global Neuronal Workspace Theory - GNWT) but not others (e.g., Integrated Information Theory - IIT). First, we will develop an inter-species methodology to measure conscious perception during visual backward masking in mice. Then, we will use optogenetics to inactivate top-down projections from prefrontal to visual cortex during a visual detection task in mice. This will reveal whether inactivating these top-down projections impairs conscious perception, as predicted by GNWT but not by IIT.
PI-1 | Jorge Mejias, UvA/FNWI |
PI-2 | Ingo Willuhn, AMC |
PI-3 | Tara Arbab, AMC |
Post-doc | Ronaldo Nunes, UvA |
ABC Project Grant Janury 2021
What is the origin of compulsive behaviour? Compulsivity, understood as the performance of repetitive behaviour without voluntary control, is a prominent factor in several psychiatric disorders, such as obsessive-compulsive disorder (OCD). However, the neurobiological origins of compulsivity are not sufficiently understood, and this prevents researchers and health professionals to improve the clinical outcomes of compulsivity disorders. In this project, our interdisciplinary team will tackle the ambitious goal of identifying biomarkers for compulsivity across different animal species, including humans. We will develop an experimental-computational framework in which preclinical and clinical data on rodents and humans will be used to build and constrain computational models of the brain networks involved in compulsive behaviour. These models will in turn inform the acquisition of animal data and the analysis of human data, allowing us to identify clinically relevant biomarkers for compulsivity, which are not captured by more traditional approaches.
PI-1 | Karline R. J. Janmaat, FNWI |
PI-2 | Jan Hausfeld, FEB |
PI-3 | Lucas Molleman, FMG |
Post-doc | Evy van Berlo |
ABC Project Grant January 2021
Faced with a great deal of information on a daily basis, we often employ heuristics to make quick and energy-efficient decisions that can appear suboptimal from an economic perspective. Relatively little is understood about the cognitive, evolutionary, and ecological drivers of these (irrational) decision biases. They are likely rooted in biological predispositions that were once highly adaptive, and may therefore present themselves differently across individuals and environments, but similarly across species. In this project, we study inter-species and inter-individual differences in decision biases, and effects of environmental stressors on these biases. We therefore compare decision biases of humans and chimpanzees in a 3D foraging task, in which participants have to find food. Here, we manipulate the environment (to include e.g., predators or social agents) to study when and how decision biases arise in both species. Our studies will be carried out at ARTIS Zoo in Amsterdam.
PI-1 |
Henkjan Honing, UvA, FGw & FNWI, (ILLC) |
PI-2 |
Pierre-Louis Bazin, UvA, FMG, Psychology |
Post-doc |
Atser Damsma |
ABC Project Grant 2020
To optimize processing in our dynamic environment, the brain continuously tries to predict the timing of upcoming events. In musical rhythm, temporal expectations are ubiquitous, and crucial to our ability to synchronize to music, affecting perception, motor behaviour, as well as emotion. Thus, musical rhythm is exceptionally well suited to study temporal expectations. Previously, temporal expectations were often studied in the context of a regular, periodic, beat (“beat-based expectations”). However, humans can also form expectations based on a predictable but irregular pattern (“memory-based expectations”). It is unclear whether beatbased and memory-based expectations rely on shared or separate neural and computational mechanisms. Also, recently it was suggested that individuals may differ in their reliance on beat-based or memory-based expectations.
In this project, first, we will compare two classes of computational models that have been used to explain temporal expectations: entrainment models, based on coupled oscillators, and probabilistic models. Specifically, we will test whether these models underlie beat-based and memory-based expectations respectively, and whether we can use the models to explain why some people rely more on the beat, and others more on the rhythmic pattern when forming temporal expectations. In the second part of the project, we will use
neuroimaging to study the neural networks underlying temporal expectations, using the same models.
Together, these studies will provide insight in how our brain forms temporal expectations, and how this is related to the structure in the input and individual differences. This will not only improve our general knowledge of predictive processing and our understanding of the human musical mind, but also has implications for the use of rhythm-based interventions, especially in movement rehabilitation.
PI-1 |
Vanessa van Ast, UvA FMG, Clinical Psychology |
PI-2 |
Harm Krugers, UvA FNWI, Swammerdam Institute for Life Sciences |
PI-3 |
Joram Mul, UvA FNWI, Swammerdam Institute for Life Sciences |
Post-doc |
Wouter Cox |
ABC Project Grant 2020
For survival, it is imperative to learn and remember which cues represent threat, and to generalize such memories to similar situations. However, fear-generalization can turn maladaptive when nonthreatening situations are inappropriately remembered as threatening, a main characteristic of patients with anxiety or stress-related disorders. Recent insight derived from basic animal studies point to physical exercise training as a novel therapeutic avenue to target the neurobiological roots of fear-generalization. But, depending on the timing of such an exercise training intervention, fear-generalization may also aggravate. The key objective of this translational ABC project is to provide a neurobiological account of how exercise training affects fear-generalization, and how this can promote prevention or aggravation of developing anxiety- and stress-related symptoms.
PI-1 |
Romke Rouw, FMG, Psychology, Brain and Cognition |
PI-2 |
Willem Zuidema , FNWI, Cognition, Language & Computation lab, ILLC |
PI-3 |
Richard Ridderinkhof, FMG, Developmental Psychology/Brain and Cognition |
Postdoc |
Nicholas Root, Psychology, University of California, San Diego |
ABC Project Grant 2019
The seemingly-simple question "How are letters represented in the brain?" is complicated by the fact that different languages have different representational systems (e.g., alphabets), and that many different linguistic properties plausibly influence letter representations.
We study grapheme-colour synesthesia, where normal (healthy) individuals have consistent colour sensations with letters (“R is sky-blue”). Remarkably, the linguistic properties of each letter (e.g., orthographic, phonetic) act as regulatory factors (RFs): they influence the synesthetic letter-to-colour pairings. These RFs similarly influence non-synesthetes requested to choose colours for letters. In this project, we employ synesthetic colours as a means for cross-language comparisons of letter representations.
We will create a large multi-language letter-to-colour database, a computational model predicting letter-to-colour associations using the (weighted) regulatory factors, and a neurological model explaining how linguistic properties shape letter representations in the brain. Finally, a spinoff project pilots the computational model as innovative approach to second-language learning.