“A Knowledge Environment for Neuroimaging in Child Psychiatry” R01 MH Clinical Advisors Committee – 14.Feb.2012 Public Website: Agenda:  Review of current status of grant objectives  Brief overview of renewal objectives  Discussion of 'community participation’  Other discussion?  Adjourn

CANDIShare - Aims 1R01 MH Aims: Aim 1: Use the existing resources NITRC to make a large set of MR image and anatomic analysis data available. This will include: a. Image data - including structural and diffusion imaging at 1.5 and 3.0 T. Each subject will include a comprehensive set of clinical, demographic and behavioral measures. b. Segmentation – the segmentation results for ‘general segmentation’ and parcellation (cortical and white matter). c. Creation and dissemination of static and dynamic probabilistic atlases from specific subsets of these data for use in other segmentation and analysis frameworks. Aim 2: Integrate the volumetric data derived from these images into the Internet Brain Volume Database (IBVD), and use the IBVD system to catalogue the representative literature of other published data from these similar age and diagnostic categories of study. Aim 3: Create the prototype for a unified Child Psychiatry Neuroimaging Portal that seamlessly integrates information across these resources and to select outside resources (PubMed, BIRN, MRI Study of Normal Brain Development, etc.). Promote the overall framework as a prototype to engender greater sharing of information within the child psychiatric community

CANDIShare - NITRC 1R01 MH

CANDIShare - Release 1R01 MH Images only Images and Segmentation Static Prob- ability Atlases

CANDIShare - Release 1R01 MH Individual Data PosNorm Space MNI152_T1_2mm Space Linear Non-linear

CANDIShare - Release 1R01 MH ‘Static’ Probability Atlases MNI152_T1_2mm Space Linear Non-linear Probability per structure …also released as a ‘.gca’ for use in Freesurfer

CANDIShare - Release 1R01 MH083320

CANDIShare - Release 1R01 MH083320

CANDIShare - Release 1R01 MH Coming Soon (~2/15/12) Get your CANDI here…

CANDIShare - Release 1R01 MH Also, on our servers and about to be released: Data fully organized for a second paper: Frazier, Jean A, et al. Cortical gray matter differences identified by structural magnetic resonance imaging in pediatric bipolar disorder. ''Bipolar Disord'' Dec; 7(6): Featuring ‘lobe’ and ‘cortical parcellation unit’ segmentations Structure and Segmentation data for remaining 140 subjects, yet to be organized by paper.

CANDIShare - Release 1R01 MH Importance of ‘Organization’ by Publication: Linkability! Reproducibility

Dynamic Probability Server Based upon: Search function of the publically available CANDIShare NITRC-IR (XNAT) Subjects are pre-registered to target space Resultant subjects (age, gender, diagnosis, etc.) are simply ‘averaged’ to generate structural probability maps expressed in ‘raw’ form and as ‘.gca’ (for freesurfer)

Pediatric Neuroimaging Portal Prototype:

Pediatric Neuroimaging Portal Prototype: From one ‘launch pad’ can set numerous ‘contexts’: Age range, Diagnoses, gender, etc. Collect information about: Available imaging data (from CANDIShare and others (i.e. NIH Pediatric Database, 1000 Functional Connectome, XNAT Central, etc.)) Publications (PubMed) Volumes (IBVD) Genes (NCBI GeneDB)

Pediatric Neuroimaging Portal Gene Example, Complex Query: Using PubBrain ( to identify anatomic structural prevalence in the literature, the ‘context’ of Pediatric Bipolar Disorder generates the following ‘top 3’ anatomic contexts: prefrontal cortex, anterior cingulate, and amygdalahttp:// From these ‘contexts’, GeneDB generates: Pediatric Bipolar Disorder – 21 genes Prefrontal cortex – 312 genes Anterior cingulate cortex – 76 genes Amygdala genes Find the common genes! Find Gene/Context prevalence in the literature! BDNF, COMT, IL1B, SLC64A; DRD2, DRD4, HTR1A, NCAM1, SLC6A3

CANDIShare - future 1R01 MH  Competing renewal to be submitted (March 5, 2012)  New Aims, in a nutshell:  Generalize the sharing resource mechanism to others (we did it for our data, we can help ‘you’ do it for yours…)  More portal development: additional targets (‘activation’ - BrainMap, SumsDB, ‘connectivity’ – CoCoMac, BAMS, etc.); interface usability; data ‘collection’, etc.  Discovery neuroscience, for pediatric neuropsychiatric populations, using the integrated data and portal  Validation – can we positively document data interoperability?  Where do CANDIShre ‘normals’ fall relative to PING and NIH Ped DB ‘typicals’?  Extension – do multiple types of analysis on the same data yield consistent results?  Novel findings and associations  But, to do this, we NEED a bigger network of shared pediatric psychiatric populations …

CANDIShare - future 1R01 MH  But, to do this, we NEED a bigger network of shared pediatric psychiatric populations…  This MAY be where YOU come in…  Do you have pediatric populations you are willing to make available?  Would you be willing to be ‘beta-testers’ of our to-be-developed YOUShare procedures (i.e. BJShare, BARRYShare, ELLENShare, JAYShare, XShare, etc.) in order to begin to flesh out a coordinated and integrated set of datasharing resources, that retain the lab and publication heritage of the initial data collection and analysis efforts, but begins to magnify the potential and impact of each of these datasets through their reuse and greater integration?  IF SO, what will it cost? Remember, retrospective datasharing is HARD work…

CANDIShare - Discussion 1R01 MH  Discussion…  Thank you for your support and assistance on this!