| Title: | Characterizing brain networks and their inter-individual variability by high-throughput imaging and computational modelling |
| Lead Institution: | Research Center Juelich |
| Principal investigator: | Professor Simon Eickhoff |
Application 41655
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
About
The human brain shows a marked level of neurobiological variability between individuals. Likewise, individuals also vary widely in aspects that may be considered causes (age, gender, general health, environmental factors) and effects (cognitive functions, socio-affective traits) of this neurobiological variability. However, the relationship between neurobiological and behavioural variability relate to each other, is still enigmatic. The goal of this project is to probe the relationship between brain features on one hand and a broad range of behaviours on the other hand in order to provide an overview on brain-behaviour and brain-environment relationships.3 Publications
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 8724 | BrainAGE: Revisited and reframed machine learning workflow | Polona Kalc (+4) | 2024 | Human Brain Mapping |
| 10181 | Changes in patterns of age-related network connectivity are associated with risk for schizophrenia | Roberta Passiatore (+21) | 2023 | Proceedings of the National Academy of Sciences of the United States of America |
| 8392 | Low bone mineral density is associated with gray matter volume decrease in UK Biobank | Polona Kalc (+3) | 2023 | Frontiers in Aging Neuroscience |
Enabling scientific discoveries that improve human health