neuroprofiling
Neuroprofiling: Personalized Brain Visualization
Goh, Crystal (University College London) | Kano, Yoshinobu ( Japan Science and Technology Agency National Institute of Informatics ) | Kanai, Ryota (University of Sussex)
We propose a novel method of self-tracking cognitive and neuroanatomical data for monitoring and manipu- lating brain structure. Neuroprofiling, a web service for personalized brain data visualization, is a platform for collecting, analyzing and displaying neuroimaging and cognitive data in a meaningful, simple and individualized way. Users’ T1-weighted, volumetric magnetic resonance imaging (MRI) scans of their brain can be uploaded onto a website, which automatically segments, preprocesses and analyses the image using voxel-based morphometry (VBM) to produce a z-score statistical map of the brain. This reveals, for each subject, the cortical density of different brain regions relative to the mean densities of the population sample. Through a 3D interactive brain-model interface, users can review their unique neuroanatomical profile. By completing behavioral cognitive testing, they can assess different strengths and weaknesses in cognitive abilities that relate to their brain physiology. They can also compare brains with all other users as a group, as well as with experts across different skill domains.