Before revision:  Due to the high-dimensionality and non-Euclidean nature of the data, it becomes challenging to conduct analyses of the population distribution of brain connectomes and relate connectomes to other factors, such as cognition . Current approaches focus on summarizing the graph using either pre-specified topological features or principal components analysis (PCA).
After revision:  Due to the high-dimensionality and non-Euclidean nature of the data, it becomes challenging to conduct analyses of the population distribution of brain connectomes and relate connectomes to other factors, such as cognition . Current approaches focus on summarizing the network using either pre-specified topological features or principal components analysis (PCA).