Clustering of subjects based on within-cluster similarities and between-cluster differences in connectivity patterns in resting-state brain data to identify dementia related functional networks

Summary

Our brain is a network of functionally connected brain regions. Functional network integrity may disrupt in the cascade of events leading to dementia before anatomical or cognitive changes become apparent. Increasing sensitivity to identify network alterations therefore may enhance the early detection of dementia. To this end, we propose a technique for multi-subject fMRI data that clusters subjects based on within-cluster similarities and between-cluster differences in functional networks. As such, networks sensitive to early changes may be discovered in a data-driven way. We also study how anatomical MRI information can be incorporated into the technique.

Details

Project number

406.16.563

Main applicant

Dr. T.F. Wilderjans

Affiliated with

Universiteit Leiden, Faculteit der Sociale Wetenschappen, Instituut Psychologie

Team members

J. Durieux MSc

Duration

01/09/2016 to 31/08/2020