Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …

Individuals with schizophrenia consistently display deficits in a multitude of cognitive
domains, but the neurobiological source of these cognitive impairments remains unclear. By …

Predictive modeling is a central technique in neuroimaging to identify brain-behavior
relationships and test their generalizability to unseen data. However, data leakage …

Attention-deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder
with a major genetic component. Here, we present a genome-wide association study meta …

Animal studies of neurodevelopment have shown that recordings of intrinsic cortical activity
evolve from synchronized and high amplitude to sparse and low amplitude as plasticity …

Diffusion tensor imaging (DTI) is a well-established magnetic resonance imaging (MRI)
technique used for studying microstructural changes in the white matter. As with many other …

Recent work has begun to relate individual differences in brain functional organization to
human behaviors and cognition, but the best brain state to reveal such relationships remains …

The protracted development of structural and functional brain connectivity within distributed
association networks coincides with improvements in higher-order cognitive processes such …

Since initial reports regarding the impact of motion artifact on measures of functional
connectivity, there has been a proliferation of participant-level confound regression methods …

Neurobiological abnormalities associated with psychiatric disorders do not map well to
existing diagnostic categories. High co-morbidity suggests dimensional circuit-level …