MNI Mashup: Most innovative map or aggregation of information in the MNI 152 standard.

This challenge challenge is to be addressed entirely during the meeting using resources made openly available to the brain mapping community.

Example projects:

• Aggregating standard MNI space 3D shape models of neuroanatomical structures

• “Dense brain information map”. Given an (x,y,z,r) tell me everything you can about (x,y,z,r), especially including uncertainty of that information. Here are a few examples of information that could be returned:

  • gene expression (and the uncertainty would be high if imputing and low if exactly at a probe location)
  • cognitive atlas terms and therefore publications and derivatives associated with that location ( a la neurosynth)
  • variation in cortical thickness
  • functional connectivity
  • likelihood of major fiber bundles in that location
  • registration inconsistency/uncertainty
  • cytoarchitecture variation (neuron types, etc.,.)
  • associated disorders
  • data from other species

Judging criteria:

• Scientific impact
• Commitment to open availability of the resulting resource
• Extensibility
• Inclusion of quantified uncertainty

Rules

• Participants must use publicly available data that is listed on the HBM Hackathon Blog. If a public dataset is not listed that you want to use, we would love to add it to the list, just contact us: hbm.hackathon@gmail.com
• Participants can use any computational resources available to them, but judging will take into account innovative use of cloud computing and how openly available the approach is (see Judging)
• At least one team leader/presenter must attend the meeting
• Off-site team members are allowed and encouraged, but will not be eligible for all resources made available to registered OHBM attendees (e.g., cloud computing credits)