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NeuroMaps: A multimodality database in the shape of a brain

Difficulty level

This lecture covers essential features of digital brain models for neuroinformatics.

Topics covered in this lesson
  • Talk abstract: The ideal digital brain atlas will allow investigators to map data obtained by any method directly into a canonical atlas where its location can be compared with all other data mapped to the same atlas. The neuroscience community will be best served by adoption of a single atlas per species, because every transcription of data from one atlas to another loses information. For maximal precision the atlas of each species should be based on a high resolution MRI. To maximize utility for neurophysiologists who wish to stimulate, inject, or record in areas of data concentration, the atlas should be registered to a conventional stereotaxic space. Since every investigator’s first question will be, “Where are my data located?” the canonical atlas should be segmented to match a widely accepted conventional atlas. Alternative segmentations should be mapped to the atlas like any other data and made available for comparison. The mapping application should enable nonlinear warping of images of brain sections to corresponding planes of section in the atlas using as many landmarks as possible. The atlas application should enable preparation of images of mapped data for presentation and publication. And it should enable investigators to upload mapped data sets to the atlas website: 1) for comparison with existing data, and 2) for deposit in a permanent repository where future investigators can compare it with theirs.