Little is still known about the neuroanatomical substrates related to changes in specific
cognitive abilities in the course of healthy aging, and the existing evidence is predominantly …

Network neuroscience has emerged as a leading method to study brain connectivity. The
success of these investigations is dependent not only on approaches to accurately map …

Biological aging of human organ systems reflects the interplay of age, chronic disease,
lifestyle and genetic risk. Using longitudinal brain imaging and physiological phenotypes …

Major depressive disorder (MDD) has been shown to be associated with structural
abnormalities in a variety of spatially diverse brain regions. However, the correlation …

Common risk factors for psychiatric and other brain disorders are likely to converge on
biological pathways influencing the development and maintenance of brain structure and …

Defining reference models for population variation, and the ability to study individual
deviations is essential for understanding inter-individual variability and its relation to the …

Importance Between-individual variability in brain structure is determined by gene-
environment interactions, possibly reflecting differential sensitivity to environmental and …

Our understanding of the genetics of the human cerebral cortex is limited both in terms of the
diversity and the anatomical granularity of brain structural phenotypes. Here we conducted a …

Schizophrenia has been conceived as a disorder of brain connectivity, but it is unclear how
this network phenotype is related to the underlying genetics. We used morphometric …

Participant motion during functional magnetic resonance image (fMRI) acquisition produces
spurious signal fluctuations that can confound measures of functional connectivity. Without …