| Title: | Genetic and phenotypic investigation of neural brain network connectivity |
| Lead Institution: | University of Cambridge |
| Principal investigator: | Professor Simon Baron-Cohen |
Application 20904
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About
We will investigate if genetic variants contribute to brain networks (i.e. how different parts of the brain is connected with each other), and if these genetic variants also contribute to psychiatric conditions, memory, and cognition. Brain networks have been linked to several psychiatric conditions. However, it is not clear if alterations in these networks contribute to psychiatric conditions or are a cause of psychiatric conditions. We will use genetics to tease apart this relationship. We will conduct a genome-wide association study of architecture of brain networks. In this we will test for the association of genetic variants with specific brain network measures. We will then test if the genetic variants associated with brain networks also contribute to psychiatric conditions. We will require genetic, neuroimaging and phenotypic data from the whole cohort. This includes neuroimaging data from all 100,000 individuals when available, in a phased manner, and genetic and phenotypic data from all individuals for whom data is available.5 Publications
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 10234 | A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data | Tiago Azevedo (+6) | 2022 | Medical Image Analysis |
| 9938 | Childhood maltreatment influences adult brain structure through its effects on immune, metabolic, and psychosocial factors | Sofia C. Orellana (+5) | 2024 | Proceedings of the National Academy of Sciences of the United States of America |
| 9680 | Single-participant structural similarity matrices lead to greater accuracy in classification of participants than function in autism in MRI | Matthew J. Leming (+2) | 2021 | Molecular Autism |
| 8246 | The genetic relationships between brain structure and schizophrenia | Eva-Maria Stauffer (+5) | 2023 | Nature Communications |
| 9356 | Two human brain systems micro-structurally associated with obesity | Manfred G Kitzbichler (+11) | 2023 | eLife |
Enabling scientific discoveries that improve human health