Trajectories of adolescent drinking behavior between age 14 and 19 years can be predicted from bilateral striatal and cerebellar grey matter at 14 years of age.

Genetics, socioeconomic conditions, and family and school environments influence cognitive intelligence in children, and this impact may lead to the individual variability of the current and future PLEs.

Self-activating Aurora B kinase, opposed by an inhibitory phosphatase, forms spatial phosphorylation patterns during cell division.

In human neuroimaging, the intra-class effect decomposition (ICED) framework indexes overall reliability, and enables researchers to identify and quantify multi-source contributions to measurement error with the goal of developing more reliable measures.

Adopted individuals in large-scale population based cohorts can be leveraged to partition maternal genetic effects into prenatal and postnatal components, helping elucidate the underlying mechanisms behind these associations, and for diseases, yielding important information regarding the optimal timing of interventions.

The consequences of real-world biodiversity change for ecosystem functioning depend on the type of global change driver and can be particularly significant when human activities decrease biodiversity.

Hybrid brain network models predict neurophysiological processes that link structural and functional empirical data across scales and modalities in order to better understand neural information processing and its relation to brain function.

Whole-brain computational modelling, incorporating novel ML-based parameter estimation techniques, reveals how transcranial magnetic stimulation-evoked brain responses are driven at earlier timepoints by local echoes of the external stimulus, and at later timepoints by large-scale network reverberation across the connectome.

A multidimensional chemical mapping strategy enables confident determination of the structures of non-coding RNAs at 1-nm resolution, including previously intractable riboswitch and human regulon states.

A novel theory demonstrates how variation in the thermal responses of microbial populations can alter coexistance and thus explain patterns of richness across thermal gradients.