A5005604683- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
- Visual perception and processing mechanisms
- Face Recognition and Perception
- Neurological disorders and treatments
- Decision-Making and Behavioral Economics
- Mental Health Research Topics
- EEG and Brain-Computer Interfaces
- Advanced Neuroimaging Techniques and Applications
- Parkinson's Disease Mechanisms and Treatments
- Behavioral and Psychological Studies
- Industrial Vision Systems and Defect Detection
- Behavioral Health and Interventions
- Neurotransmitter Receptor Influence on Behavior
- Olfactory and Sensory Function Studies
- Stress Responses and Cortisol
- Complex Network Analysis Techniques
- Motor Control and Adaptation
- Neuroscience and Neuropharmacology Research
- Synthesis and Properties of Aromatic Compounds
- Infrared Target Detection Methodologies
- Botulinum Toxin and Related Neurological Disorders
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Photoacoustic and Ultrasonic Imaging
University of Amsterdam
2008-2020
Spinoza Centre for Neuroimaging
2018-2019
Royal Netherlands Academy of Arts and Sciences
2018-2019
John Brown University
2019
Vrije Universiteit Amsterdam
2015-2017
University of California, San Diego
2009
Response inhibition is essential for navigating everyday life. Its derailment considered integral to numerous neurological and psychiatric disorders, more generally, a wide range of behavioral health problems. Response-inhibition efficiency furthermore correlates with treatment outcome in some these conditions. The stop-signal task an tool determine how quickly response implemented. Despite its apparent simplicity, there are many features (ranging from design data analysis) that vary across...
Fronto-basal ganglia pathways play a crucial role in voluntary action control, including the ability to inhibit motor responses. Response inhibition might be mediated via fast hyperdirect pathway connecting right inferior frontal gyrus (rIFG) and presupplementary area (preSMA) with subthalamic nucleus or, alternatively, indirect between cortex caudate. To test relative contribution of these two inhibitory we applied an innovative quantification method for effective brain connectivity....
The ability to suppress one's impulses and actions constitutes a fundamental mechanism of cognitive control, thought be subserved by the right inferior frontal cortex (rIFC). neural bases more selective inhibitory control when selecting between two have thus far remained articulated with less precision. Selective inhibition can explored in detail extracting parameters from response time (RT) distributions as derived performance Simon task. Individual differences RT distribution not only used...
An important aspect of cognitive control is the ability to respond with restraint. Here, we modeled this experimentally by measuring degree response slowing that occurs when people an imperative stimulus in a context where they might suddenly need stop initiated compared which do not stop. We refer RT as "response delay effect." conjectured effect could relate one or more neurocognitive mechanism(s): partial suppression (i.e., "active braking"), prolonged decision time, and slower...
Goal-oriented signals from the prefrontal cortex gate selection of appropriate actions in basal ganglia. Key nodes within this fronto-basal ganglia action regulation network are increasingly engaged when one anticipates need to inhibit and override planned actions. Here, we ask how advance preparation plans modulates for fronto-subcortical control a needs be withdrawn. Functional magnetic resonance imaging data were collected while human participants performed stop task with cues indicating...
Cognition can reveal itself in the pupil, as latent cognitive processes map onto specific pupil responses. For instance, dilates when we make decisions and these size fluctuations reflect decision-making computations during after a choice. Surprisingly little is known, however, about how responses relate to driven by learned value of stimuli. This understanding important, most real-life are guided outcomes earlier choices. The goal this study was investigate which reflects value-based...
Response inhibition is a hallmark of executive control and crucial to support flexible behavior in constantly changing environment. Recently, it has been shown that response influenced by the presentation emotional stimuli (Verbruggen De Houwer, 2007). Healthy individuals typically differ degree which they are able regulate their state, but remains unknown whether individual differences emotion regulation (ER) may alter interplay between inhibition. Here we address this issue testing healthy...
Response inhibition is essential for navigating everyday life. Its derailment considered integral to numerous neurological and psychiatric disorders, more generally, a wide range of behavioral health problems. Response-inhibition efficiency furthermore correlates with treatment outcome in these conditions. The stop-signal task an tool determine how quickly response implemented. Despite its apparent simplicity, there are many features (ranging from design data analysis) that vary across...
Reduced levels of dopamine in Parkinson's disease contribute to changes learning, resulting from the loss midbrain neurons that transmit a dopaminergic teaching signal striatum. Dopamine medication used by patients with has previously been linked behavioural during learning as well adjustments value-based decision-making after learning. To date, however, little is known about specific relationship between medication-driven differences and subsequent approach/avoidance tendencies individual...
Selective brain responses to objects arise within a few hundreds of milliseconds neural processing, suggesting that visual object recognition is mediated by rapid feed-forward activations. Yet disruption in early cortex beyond processing stages affects performance. Here, we unite these discrepant findings reporting involves enhanced feedback activity (recurrent cortex) when target are embedded natural scenes characterized high complexity. Human participants performed an animal detection task...
Why are we so slow in choosing the lesser of 2 evils? We considered whether such slowing relates to uncertainty about value these options, which arises from tendency avoid them during learning, and frontosubthalamic inhibitory control mechanisms. In total, 49 participants performed a reinforcement-learning task stop-signal while fMRI was recorded. A model used quantify learning strategies. Individual differences lose–lose related information due sampling, independently, less efficient...
Reward learning is known to influence the automatic capture of attention. This study examined how rate learning, after high- or low-value reward outcomes, can future transfers into value-driven attentional capture. Participants performed an instrumental task that was directly followed by task. A hierarchical Bayesian reinforcement model used infer individual differences in from high low reward. Results showed a strong relationship between high-reward rates (or weight put on reward) and...
Pairwise correlations are currently a popular way to estimate large-scale network (> 1000 nodes) from functional magnetic resonance imaging data. However, this approach generally results in poor representation of the true underlying network. The reason is that pairwise cannot distinguish between direct and indirect connectivity. As result, correlation networks can lead fallacious conclusions; for example, one may conclude small-world when it not. In simulation study an application...
Action selection often requires the transformation of visual information into motor plans. Preventing premature responses may entail suppression input and/or prepared muscle activity. This study examined how quality affects frontobasal ganglia (BG) routes associated with response and inhibition. Human fMRI data were collected from a stop task visually degraded or intact face stimuli. During go trials, spatial frequency reduced speed accumulation cautiousness. Effective connectivity analysis...
Abstract Spontaneous eye blink rate (sEBR) has been linked to striatal dopamine function and how individuals make value-based choices after a period of reinforcement learning (RL). While sEBR is thought reflect learn from the negative outcomes their choices, this idea not tested explicitly. This study assessed individual differences in relate by focusing on cognitive processes that drive RL. Using Bayesian latent mixture modelling quantify mapping between RL behaviour its underlying...
We interact with the world through assessment of available, but sometimes imperfect, sensory information. However, little is known about how variance in quality information affects regulation controlled actions. In a series three experiments, comprising total seven behavioral studies, we examined different types spatial frequency affect underlying processes response inhibition and selection. Participants underwent stop-signal task, two choice speed/accuracy balance experiment, variant both...
The pupil response under constant illumination can be used as a marker of cognitive processes. In the past, pupillary responses have been studied in context arousal and decision-making. However, recent work involving Parkinson's patients suggested that are additionally affected by reward sensitivity. Here, we build on these findings examining how modulated loss while participants (N = 30) performed Pavlovian reversal learning task. fast (transient) responses, observed arousal-based...
A fundamental component of interacting with our environment is gathering and interpretation sensory information. When investigating how perceptual information influences decision-making, most researchers have relied on manipulated or unnatural as input, resulting in findings that may not generalize to real-world scenes. Unlike simplified, artificial stimuli, scenes contain low-level regularities are informative about the structural complexity, which brain could exploit. In this study,...
Connectivity in the brain is most promising approach to explain human behavior. Here we develop a focused information criterion for graphical models determine connectivity tailored specific research questions. All efforts are concentrated on high-dimensional settings where number of nodes graph larger than samples. The may include autoregressive times series components, they can relate graphs from different subjects or pool data via random effects. proposed method selects with small...
Abstract Pupil responses have been used to track cognitive processes during decision-making. Studies shown that in these cases the pupil reflects joint activation of many cortical and subcortical brain regions, also those traditionally implicated value-based learning. However, how tracks decisions reinforcement learning is unknown. We combined a task with computational model study decisions, decision evaluations. found closely both across trials participants. Prior choice, dilated as...
Reinforcement learning can bias decision-making toward the option with highest expected outcome. Cognitive theories associate this constant tracking of stimulus values and evaluation choice outcomes in striatum prefrontal cortex. Decisions however first require processing sensory input, to date, we know far less about interplay between perception. This functional magnetic resonance imaging study (N = 43) relates visual blood oxygen level-dependent (BOLD) responses value beliefs during signed...
Abstract Reduced levels of dopamine in Parkinson’s disease (PD) contribute to changes learning, resulting from the loss midbrain neurons that transmit a teaching signal striatum. Dopamine medication used by PD patients has previously been linked either behavioral during learning itself or adjustments approach and avoidance behavior after learning. To date, however, very little is known about specific relationship between dopaminergic medication-driven differences subsequent...