Luke J. Chang

This study develops a computational framework to reconstruct social cognitive maps from brain activity during social interactions, showing that relational geometry predicts personality traits.

The paper identifies biological and experimental factors influencing psilocybin's behavioral effects in mice using a large dataset and data-driven analyses.

The paper examines how neural responses to repeated naturalistic video viewing change over time, finding increased individual variability and distinct patterns in sensory versus interpretive brain regions.

This paper identifies and validates a neural signature of reward using data from 21 studies, showing high accuracy in distinguishing reward from punishment and generalizability across tasks.

The paper evaluates the effect size and test-retest reliability of the Neurologic Pain Signature (NPS) across multiple studies, finding large within-person effect sizes and reliable performance with sufficient trial numbers.

The paper introduces a neurometric approach to assess trust validity using brain patterns, showing high accuracy in predicting trust in a game and validating its relationship with safety beliefs and negative affect.

This study examines intersubject synchronization of intracranial EEG signals in the ventromedial prefrontal cortex (vmPFC) and auditory cortex during naturalistic viewing, finding lower synchronization in vmPFC and some shared states in emotionally salient scenes.

The paper examines how individual differences in ventromedial prefrontal cortex (vmPFC) state dynamics during naturalistic viewing reflect affective experiences across four studies.

This study evaluates the effectiveness of custom-molded headcases in reducing head motion during naturalistic fMRI tasks and finds they offer limited benefit compared to foam pillows and medical tape.

This study uses IS-RSA to show that individual differences in sociosexual desire and self-control preferences during erotic movie viewing are linked to distinct neural network dynamics.

The paper identifies a brain pattern specific to interpersonal guilt using neuroimaging data from two independent populations.

This study develops and validates a conceptual model of indebtedness using a combination of surveys, games, computational modeling, and neuroimaging to understand how perceived intentions influence feelings and reciprocity behavior.