Review Articles in 2023

Meng-Chuan Lai reviews the literature on mental health challenges faced by autistic individuals. The author proposes a framework of four contributing themes to aid personalized formulation: social–contextual determinants, adverse life experiences, autistic cognitive features and shared genetic and early environmental predispositions.

Peelen and Downing review the use of multivariate pattern analysis in cognitive neuroscience to study cognition at the functional level.

Wu et al. discuss the current and future challenges in the prediction of behavioural traits from brain data.

Liu and coauthors review the major data sources, measures and analysis methods in the science of science, discussing how recent developments in these fields can help researchers to better predict science-making outcomes and design better science policies.

The authors summarize the most recent developments in twin studies, recent results from twin studies of new phenotypes and new insights into twinning as a phenotype. They also provide an updated overview of twin concordance and discordance for major diseases and mental disorders.