Weiqi Zhao

The paper uses the ABCD Study to determine optimal replication sample sizes for reproducible brain-behavior associations using neuroimaging data.

The paper evaluates the replication of genome-wide association loci discovered using MOSTest across different cohorts and finds higher replication yields and rates compared to min-P.

The paper uses MOSTest to analyze cortical morphology in 10,145 children, showing that regional cortical patterns predict cognitive performance after accounting for global brain measures.

The paper shows that distinct cortical morphology patterns are associated with different cognitive domains in children, highlighting the importance of sociodemographic factors.

The paper introduces PVS-B, a whole-brain prediction framework that improves variance explained in behavior prediction from neuroimaging data compared to traditional methods.