JHA410H1 Lecture Notes - Lecture 10: Radioactive Tracer, National Institutes Of Health, Habituation
Document Summary
Lecture 10: big data: open access from multiple sources (originated from nih when genome sequence?) If everyone is contributing, we have one database that everyone can access (as long as they have technology, they can access and contribute to it) Increases resolution due to more subjects and accuracy (find things you wouldn"t be able to find) Looking at hundreds of people, we can extract things that we might not have seen before with 16: more fmri, mri, etc data. Increases in availability of multi-model neuroimaging: we can get different kinds of data. We can also get dti or eeg data that you did not measure for (you can look at more than one modality) Since they all measures different aspects it is more comprehensive. The whole picture is better than single part of the picture alone. Improves spatial and temporal resolution (3-400 people in one assay or increase spatial resolution of one area)
