Richard C. Reynolds

Domain-general neural effects of associative learning and expectations on pain and hedonic taste perception

This study investigates how associative learning and expectations influence pain and hedonic taste perception, finding domain-general neural circuits involved in cue effects across different modalities.

A Set of FMRI Quality Control Tools in AFNI: Systematic, in-depth and interactive QC with afni_proc.py and more

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

BOLD response is more than just magnitude: improving detection sensitivity through capturing hemodynamic profiles

This paper improves fMRI analysis by capturing hemodynamic profiles instead of relying on a canonical HRF, showing better sensitivity and cross-study reproducibility.

Highlight Results, Don't Hide Them: Enhance interpretation, reduce biases and improve reproducibility

The paper argues against hiding subthreshold results in neuroimaging studies and proposes a 'highlighting' approach to improve reproducibility and understanding.

Instructions and experiential learning have similar impacts on pain and pain-related brain responses but produce dissociations in value-based reversal learning

This study compares how instructions and experiential learning affect pain perception and brain responses, finding distinct neural mechanisms for value-based learning.

LayNii: A software suite for layer-fMRI.

LayNii is a software suite designed for analyzing layer-specific functional MRI data with SNR and coverage constraints, offering tools for layerification, smoothing, and artifact mitigation.

A tail of two sides: Artificially doubled false positive rates in neuroimaging due to the sidedness choice with t-tests

The paper shows that using two one-sided t-tests without correction doubles the false positive rate compared to a single two-sided test.

FMRI processing with AFNI: Some comments and corrections on \"Exploring the Impact of Analysis Software on Task fMRI Results\"

The paper comments on and corrects a previous study comparing FMRI analysis software, focusing on AFNI's processing pipeline and its implementation.