Here's an overview of my publications
This study uses a novel meta-analytical approach to merge raw fMRI data from five stop-signal task datasets, investigating response inhibition and the role of basal ganglia pathways. While it finds large subcortical activity in failed stop trials, it questions the involvement of cortico-basal-ganglia pathways in successful inhibition and highlights the potential of open-access data sharing for advancing meta-analytical research.
This study used a novel joint modeling approach to explore the relationships between evidence accumulation model (EAM) parameters across four decision-making domains and different time points. Results showed consistency in EAM parameters across time for most tasks, with a two-factor model revealing shared information processing ability across domains, while constructs like response caution and urgency were only partially comparable.
This study presents advanced whole-brain resting-state fMRI data acquired at 7 Tesla with 1.5 mm isotropic resolution from 56 healthy adults, optimized for subcortical BOLD sensitivity. High-resolution structural and functional data, formatted to BIDS and preprocessed with fMRIPrep, provide a valuable resource for studying intrinsic brain activity across cortical and subcortical regions.
This study used 7 Tesla fMRI to examine subcortical involvement in working memory updating, finding no evidence of striatal activation during gate opening but significant subcortical engagement during gate closing and general updating processes. Substitution of new information into working memory activated dopamine-producing midbrain regions, basal ganglia, thalamus, and prefrontal cortex, suggesting a basal ganglia-thalamo-cortical loop driven by dopaminergic activity.
This study used ultra-high field imaging to investigate the functional architecture of 14 subcortical structures, revealing that their spontaneous neural activity “echoes” cortical network activity. Distinct subregions demonstrated varied integration with cortical networks, highlighting a heterogeneous organization for functional integration, while other regions exhibited homogeneous topography or lacked cortical network resemblance, shedding light on subcortical roles in cognitive dynamics.
This study used ultra-high field MRI and cognitive modeling to investigate response inhibition and interference resolution within subjects, revealing that these constructs are rooted in distinct brain areas with minimal spatial overlap. While response inhibition was associated with orbitofrontal cortex activation, interference resolution relied more on subcortical components and regions such as the anterior cingulate cortex, emphasizing the value of UHF-MRI for precise functional mapping.
The study introduces the high-resolution 3T DWI AHEAD dataset, part of the Amsterdam Ultra-high field adult lifespan database, featuring isotropic whole-brain diffusion-weighted imaging data from 49 healthy adults aged 18–90. This freely available dataset has been preprocessed for distortions and artefacts, enabling advanced exploration of brain networks with multi-shell, multi-directional DWI data across various b-values.
This study examines 17 prominent subcortical structures, highlighting their iron and myelin content, morphometry, and age-related changes across the adult lifespan. The findings reveal structural heterogeneity, shifts in location with age, and insights into normal aging processes, offering valuable implications for neuroimaging and understanding neurodegeneration.
This article compares 20 normative neuroimaging databases based on image quality metrics like signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), focusing on their utility for studying subcortical regions. The analysis reveals age-related declines in SNR and CNR in brain regions such as the caudate nuclei and corpus callosum, highlights the trade-offs between scan time and spatial resolution, and underscores the importance of database selection for structural data reuse.
This meta-analysis of 57 studies examined the brain areas involved in interference resolution and global inhibition, revealing shared activation in the bilateral insula and supplementary motor areas. Subtraction analyses highlighted distinct recruitment in cortical regions but found minimal subcortical involvement, suggesting a systematic gap in functional neuroimaging research.
The Amsterdam Ultra-high field adult lifespan database (AHEAD) provides 105 7 Tesla whole-brain structural MRI scans, optimized for imaging subcortical structures across the adult lifespan (18–80 years). It includes high-resolution quantitative MRI maps and probability maps of basal ganglia structures, freely available for further research.