Dylan M. Nielson

The paper introduces FMRI quality control tools in AFNI, providing systematic, in-depth, and interactive QC features for preprocessing pipelines.

This study links trial-by-trial mood dynamics during gambling tasks to neural oscillations in adolescents using MEG, finding beta-gamma power related to reward expectation and localized brain sources.

The paper shows that earlier experiences have a stronger influence on reported mood than recent events, using computational modeling and neural evidence.

This paper reviews reward processing as a cause and predictor of depression, identifies challenges, and finds reward processing abnormalities are not yet clinically predictive but may have causal roles.

Scanner manufacturer, model and even the individual machine leave detectable signatures in ABCD resting-state and task fMRI results; ComBat harmonization is reported to remove them.

The paper introduces MRIQC Web-API, a resource for training automatic quality classifiers by crowdsourcing image quality metrics and expert ratings from MRI scans.

The paper identifies a brain network, including the precuneus, that represents personal semantic content during vivid autobiographical recollection using lifelogging and fMRI data.

MELD combines mixed effects models with dimensionality reduction and permutation testing to efficiently analyze large neural datasets, improving sensitivity and computational efficiency.