Daniel S. Pine

Brain Age in Conduct Disorder: A Mega-Analysis of the ENIGMA Antisocial Behavior Working Group

This study investigates brain age differences in youth with conduct disorder compared to controls, finding accelerated brain maturation in those with adolescence-onset CD.

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.

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.

Evaluating an internet-delivered fear conditioning and extinction protocol using response times and affective ratings.

This study evaluates an internet-delivered fear conditioning protocol using response times and affective ratings, finding evidence of fear acquisition and extinction but conflicting response time results compared to lab-based studies.

Hyperbolic trade-off: the importance of balancing trial and subject sample sizes in neuroimaging

The paper examines how balancing trial and subject sample sizes affects statistical efficiency in neuroimaging, finding trial sample size has a comparable impact to subject sample size.

Trial and error: a hierarchical modeling approach to test-retest assessment

This paper introduces a hierarchical modeling framework to assess test-retest reliability, showing higher reliability estimates compared to conventional methods and highlighting the need for large trial numbers.

Adolescent Cognitive Control, Theta Oscillations, and Social Motivation

This study examines theta oscillations in adolescents during a cognitive task, finding distinct pre- and post-response dynamics and how social motivation affects error monitoring.

Intraclass correlation: improved modeling approaches and applications for neuroimaging

The paper improves ICC modeling for neuroimaging by introducing four new approaches and recommends their use based on data characteristics.