The rise of machine learning has unlocked new ways of analysing structural neuroimaging
data, including brain age prediction. In this state-of-the-art review, we provide an …

The human brain stands as an intricate organ, embodying a nexus of structure, function,
development, and diversity. This review delves into the multifaceted landscape of the brain …

Genome-wide association studies of brain imaging phenotypes are mainly performed in
European populations, but other populations are severely under-represented. Here, we …

The study of brain differences across Eastern and Western populations provides vital
insights for understanding potential cultural and genetic influences on cognition and mental …

Alzheimer's disease is a neurodegenerative disease that imposes a substantial financial
burden on society. A number of machine learning studies have been conducted to predict …

We aimed to evaluate the potential causal relationship between brain imaging–derived
phenotypes and cognitive functions via Mendelian randomization analyses. Genetic …

Objective This study examined the relationship between culture and cognitive abilities by
comparing WAIS-IV subtests, index scores, and Full-Scale Intelligence Quotient (FSIQ) …

As a biomarker of human brain health during development, brain age is estimated based on
subtle differences in brain structure from those under typical developmental. Magnetic …

BackgroundSubstantial evidence indicates structural abnormalities in the cerebral cortex of
patients with schizophrenia (SCZ), although their clinical implications remain unclear …

Introduction: The perisylvian region is the cortical core of language and speech. Several
accessory sulci have been described in this area, whose presence could modify the results …