Charles Y. Zheng

This study compares metacognitive ability across perception and valuation tasks using a computational model of confidence, finding it reliably estimable and well-conserved within domains.

THINGS-data provides multimodal neuroimaging and behavioral datasets for studying object representations, enabling hypothesis testing and cross-modal analysis.

This paper introduces a novel hemodynamic deconvolution algorithm for multi-echo fMRI that improves reliability and provides statistical certainty without requiring prior knowledge of experimental paradigms.

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.