Patrick S. Sadil

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

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

The paper introduces MM-ComBat and MM-CovBat, multivariate frameworks to harmonize multi-metric neuroimaging data by jointly addressing batch effects across metrics and features.

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.

The paper evaluates the reliability of small-sample task-based fMRI studies using two datasets, showing that sample size requirements vary by analysis type and effect size.

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

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

The paper compares automated subcortical volume estimation methods, finding poor consistency in amygdala volume estimates between FSL and FreeSurfer, which can lead to conflicting results.

This paper introduces a framework to infer neural tuning modulation from fMRI data by comparing theoretical models of how neural responses change across experimental conditions.

This study investigates hippocampal engagement during recall by comparing scene and object recall, finding increased hippocampal activation during scene recall and neocortical activation during object recall.

The paper develops a computational model to explain perceptual and mnemonic deficits in medial temporal lobe amnesia by simulating how MTL damage affects visual discrimination through representational tunedness and familiarity.