Taylor Salo

This study identifies convergent structural brain alterations in PTSD using meta-analysis and examines their functional connectivity across brain networks.

The paper introduces PET-BIDS, an extension of the BIDS standard for PET data, and provides curated datasets and tools for its use.

This paper decomposes brain activity during the cue-reactivity paradigm into subnetworks associated with attention, reward, and affective processes using meta-analytic and connectivity techniques.

The paper identifies four spatially distinct executive function networks through image-based meta-analysis of fMRI studies, highlighting inconsistencies in current network labeling conventions.

The paper examines how IQ, academic performance, and brain connectivity relate in physics students, finding IQ increases and associations with brain connectivity, but no mediation of academic outcomes.

This paper introduces fMRIPrep, a tool for preprocessing task-based fMRI data, and demonstrates its integration into a workflow for statistical analysis.

This study identifies common and distinct brain regions associated with risky and ambiguous decision-making through meta-analyses of neuroimaging data from 151 studies.

The paper identifies latent dimensions in task-fMRI data that explain more variance than conventional cognitive categories, suggesting current cognitive frameworks may not fully capture brain activation patterns.

The paper uses meta-analytic clustering to identify seven brain activity patterns associated with different aspects of reward processing and their corresponding behavioral profiles.

This study uses fMRI to show that active-learning and lecture-based physics instruction lead to brain activity reorganization, with sex differences observed in frontoparietal, default mode, and visual areas, and pedagogy-sex interactions during physics retrieval.

The paper examines brain function during physics problem solving in students, linking conceptual approaches to neural mechanisms and success in science reasoning.

This study examines sex differences in brain connectivity related to STEM anxiety in undergraduate physics students, finding sex-specific impacts on neural networks and academic performance.