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“ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

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“ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320. Clinical Advisors Committee – 14.Feb.2012 Public Website: www.nitrc.org/projects/candi_share Agenda: Review of current status of grant objectives Brief overview of renewal objectives - PowerPoint PPT Presentation
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“A Knowledge Environment for Neuroimaging in Child Psychiatry” R01 MH083320 Clinical Advisors Committee – 14.Feb.2012 Public Website: www.nitrc.org/projects/candi_share Agenda: Review of current status of grant objectives Brief overview of renewal objectives Discussion of 'community participation’ Other discussion? Adjourn
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Page 1: “ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

“A Knowledge Environment forNeuroimaging in Child

Psychiatry”R01 MH083320

Clinical Advisors Committee – 14.Feb.2012

Public Website: www.nitrc.org/projects/candi_shareAgenda: Review of current status of grant objectives Brief overview of renewal objectives Discussion of 'community participation’ Other discussion? Adjourn

Page 2: “ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

CANDIShare - Aims

1R01 MH083320

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

Page 3: “ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

CANDIShare - NITRC

1R01 MH083320

http://www.nitrc.org/projects/candi_share

Page 4: “ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

CANDIShare - Release

1R01 MH083320

Images only

Images andSegmentation

Static Prob-ability Atlases

Page 5: “ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

CANDIShare - Release

1R01 MH083320

IndividualData

PosNorm SpaceMNI152_T1_2mm Space

Linear Non-linear

Page 6: “ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

CANDIShare - Release

1R01 MH083320

‘Static’ Probability Atlases

MNI152_T1_2mm Space

Linear Non-linear

Probability per structure

…also released as a ‘.gca’ for use in Freesurfer

Page 7: “ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

CANDIShare - Release

1R01 MH083320

Page 8: “ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

CANDIShare - Release

1R01 MH083320

Page 9: “ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

CANDIShare - Release

1R01 MH083320

Coming Soon (~2/15/12)Get your CANDI here…

Page 10: “ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

CANDIShare - Release

1R01 MH083320

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''. 2005 Dec; 7(6):555-69

• Featuring ‘lobe’ and ‘cortical parcellation unit’ segmentations

•Structure and Segmentation data for remaining 140 subjects, yet to be organized by paper.

Page 11: “ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

CANDIShare - Release

1R01 MH083320

Importance of ‘Organization’ by Publication: • Linkability!• Reproducibility

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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)

Page 13: “ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

Pediatric Neuroimaging PortalPrototype:

Page 14: “ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

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)

Page 15: “ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

Pediatric Neuroimaging PortalGene Example, Complex Query:

•Using PubBrain (http://www.pubbrain.org) 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 amygdala • From these ‘contexts’,

GeneDB generates:• Pediatric Bipolar

Disorder – 21 genes

• Prefrontal cortex – 312 genes

• Anterior cingulate cortex – 76 genes

• Amygdala - 254 genes

• Find the common genes!

• Find Gene/Context prevalence in the literature! BDNF, COMT, IL1B, SLC64A; DRD2, DRD4, HTR1A, NCAM1, SLC6A3

Page 16: “ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

CANDIShare - future

1R01 MH083320

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 …

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CANDIShare - future

1R01 MH083320

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…

Page 18: “ A Knowledge Environment for Neuroimaging in Child Psychiatry ” R01 MH083320

CANDIShare - Discussion

1R01 MH083320

Discussion…

Thank you for your support and assistance on this!


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