Marleen Verhoye

This study uses longitudinal MRI to analyze brain volume changes in zQ175DN mice, finding early striatal atrophy and later cortical and corpus callosum reductions similar to human HD.

The paper investigates how pair bonding in songbirds alters neural responses to familiar songs in specific auditory and integrative circuits, with a potential role for dopamine.

This study evaluates long-term dietary interventions in a rat model of Alzheimer's disease, finding limited effects on functional connectivity and cognitive decline.

This study examines longitudinal changes in structural and effective connectivity in a non-human primate HD model, finding reduced structural connectivity and early effective connectivity changes.

The paper examines resting-state fMRI dynamics in a rat model of Alzheimer's disease, linking functional changes to amyloid levels and memory impairments, with better predictive power from pre-plaque stage CAPs.

This study compares the effects of caloric restriction and resveratrol on brain network connectivity in male and female rats, finding sex-specific changes in functional connectivity.

This study investigates altered spatiotemporal dynamics of resting-state networks in a Huntington's disease mouse model using dynamic functional connectivity and identifies age- and genotype-specific quasi-periodic patterns of brain activity.

The paper analyzes resting-state fMRI data from TgF344-AD rats to identify altered brain state transitions at early AD stages.

The paper shows seasonal changes in auditory forebrain responses to innate conspecific begging calls in European starlings, with differential activation in specific brain regions during breeding and non-breeding seasons.

The paper investigates changes in resting-state co-activation patterns in a Huntington's disease mouse model and finds they predict disease states with high accuracy.

This study uses resting-state fMRI to track longitudinal changes in brain network connectivity in a mouse model of Huntington's disease, revealing age-related alterations in cortical and subcortical networks.

This study shows that selective cholinergic stimulation of the medial septum-diagonal band of Broca in rats improves spatial learning during training but not after, while nonselective stimulation causes appetite loss and altered brain connectivity.

This study uses electrophysiological data from a rat model to classify AD transgenic rats from wild-type using machine learning, finding that both low and high frequency signals contribute to accurate classification.

This study investigates the role of thyroid hormones in seasonal neuroplasticity in European starlings by analyzing gene expression and neurobehavioral effects of hypothyroidism.

The paper creates a mouse cerebral vascular atlas from MRI data to improve spatial reliability across animals and demonstrates its use in fMRI analysis.

This study identifies co-activation patterns (CAPs) in resting-state fMRI as accurate predictors of Alzheimer's disease in aged mice, with spatial features showing near-perfect classification accuracy.

The paper shows that resting brain fluctuations in mice are intrinsically linked to visual response dynamics through quasiperiodic patterns.

This study uses DREADDs to inhibit neurons in the mouse anterior cingulate area and shows changes in functional connectivity and BOLD signals using fMRI.

This study shows that increased soluble amyloid-beta causes early brain network hypersynchronisation in a mature-onset mouse model of amyloidosis, with later hypoconnectivity and plaque formation.

This study identifies reproducible resting-state networks in the mouse brain across multiple centers using standardized rsfMRI analysis.

This study shows that bottom-up sensory processing in rats reduces activity and functional connectivity in the default mode like network, similar to top-down attention effects in humans.

This study identifies brain regions whose structural properties predict song learning accuracy in zebra finches before vocal practice begins.