Michael C. Riedel

The paper investigates habenula functional connectivity differences in autistic individuals compared to neurotypical controls using rs-fMRI data from ABIDE.

This study examines changes in hippocampal functional connectivity in students undergoing active vs. lecture-based physics learning using fMRI.

The paper uses fMRI to compare brain state dynamics between active and lecture-based physics learning, finding distinct neural patterns associated with each approach.

The DIVA Study investigates intra-individual variability in brain and behavior across the menstrual cycle in premenopausal women using multimodal neuroimaging and physiological data.

This paper develops and evaluates methods for decoding functional connectivity gradients in fMRI data using meta-analytic techniques and k-means segmentation.

This study identifies two graded functional organization axes in the left inferior frontal gyrus using resting-state and task-based connectivity analyses.

The paper conducts a meta-analysis to identify neural systems associated with RDoC social constructs using fMRI data.

The paper investigates how STEM anxiety profiles correlate with brain connectivity during physics tasks using fMRI and latent profile analysis.

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

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 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.

This study dissociates habenula activity linked with nicotine withdrawal from striatal activity linked with addiction severity using pharmacological fMRI.

The paper describes neuroimaging processing methods for the ABCD Study to extract brain phenotypes from multimodal imaging data.

This study identifies seven recurrent brain networks involved in naturalistic cognition through a meta-analysis of fMRI data using k-means clustering and functional decoding.