Tor Dessart Wager

This paper presents the first comprehensive case study of early-emerging prosopometamorphopsia, detailing its clinical manifestations and neural correlates.

The paper investigates how conceptual generalization influences pain experience and shows that the hippocampus mediates this effect through cue-evoked expectations.

This study uses finite impulse response modeling to reveal distinct temporal dynamics of amygdala subregions in response to negative affect, showing prolonged activation in centromedial regions.

The paper examines how motion-based exclusion in fMRI disproportionately affects certain demographic groups and alters study outcomes.

This paper introduces a neuroimaging framework to map brain mitochondria non-invasively and finds age-related declines in mitochondrial density and respiratory capacity, along with disease-specific alterations and links to systemic stress and cognition.

The paper shows that higher-intensity sensory stimulation expands neural activation topography across multiple modalities, challenging the assumption of fixed neural populations.

The paper develops fMRI classifiers to predict self- and other-related mentalizing, showing high accuracy and distinct neural patterns across different populations and conditions.

The paper investigates how mitochondrial energy capacity affects brain function during cognitive, sensory, and affective tasks, finding that working memory is more vulnerable to energetic stress than sensory or affective processes.

This study shows that temporal interference stimulation of the motor cortex reduces experimental pain in a frequency-dependent manner in healthy adults.

The paper shows that brain representations converge across individuals despite diverse topographic layouts, with topographic differences linked to architectural constraints and developmental factors.

The paper identifies convergent and selective functional zones in the insula using fMRI data, revealing a hierarchical convergence architecture across pain, appetitive, aversive, and cognitive control domains.

This study identifies cerebellar and pontine brain regions involved in human placebo analgesia, linking findings from animal models to human neuroimaging data.

The paper examines the neural correlates of social interaction perception and theory of mind using fMRI, finding overlapping and distinct brain regions involved in these processes.

This study examines how vicarious trauma affects human brain networks and immune responses through fMRI, autonomic physiology, and gene expression in monocytes.

The paper presents a large-scale multimodal fMRI dataset combining naturalistic stimuli with diverse cognitive tasks to enable comprehensive cognitive neuroscience research.

The paper compares neural representations of imagined and experienced pain using fMRI, finding shared and distinct patterns across brain regions.

The paper tests how expectations influence perception of pain and visual contrast, finding modality-specific effects and higher-level neural mechanisms.

This study compares neural mechanisms of placebo analgesia induced by verbal suggestions and conditioning, finding distinct brain activity patterns and enhanced analgesia when combined.

The paper investigates the neural basis of negative affective traits using fMRI data from 458 adults, finding that whole-brain machine learning models better predict stress vulnerability than region- or network-level measures.

The paper identifies unintended bias from collinearity reduction strategies in fMRI analysis and introduces a contrast-based variance inflation factor to assess their impact.

The paper describes the neuroimaging component of the A2CPS project, detailing data collection, processing, and initial findings linking brain measures to clinical variables.

This study uses fMRI to show that existing pain neurosignatures cannot predict facial pain expressions, introducing a new FEPS that specifically captures the brain response to nociceptive pain.

This study examines how connectivity hyperalignment (CHA) affects brain network properties across spatial scales, showing improved inter-subject similarity while preserving individual-specific features.

This study examines intrinsic brain network function in chronic pain using EEG data from 537 individuals, finding some replicable associations but highlighting the need for collaborative research.

This study shows placebo treatment reduces pain-related brain activity in affective and cognitive systems but not in nociceptive regions, using fMRI data from 392 participants.

This study uses fMRI to identify brain regions and networks associated with affective valence and intensity during sustained pleasure and pain, showing distinct neural coding for each.

This study uses 7-Tesla fMRI to show that the human periaqueductal grey (PAG) shows bilateral BOLD increases during a working memory task without threat, suggesting a broader role in brain-body communication.

This paper introduces fcANNs, a model of brain dynamics based on functional connectivity, showing it can reconstruct and predict brain activity in rest, tasks, and disease states.

This study uses real-time fMRI decoding to modulate pain-related brain patterns and shows that participants can down-regulate pain signatures, correlating with changes in perceived pain intensity.

The paper replicates and extends a brain system for allostasis and interoception using 7 Tesla fMRI, finding high agreement with animal tract-tracing studies.