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NIDM-Results: a model to share brain mapping statistical results

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HAL Id: inserm-01887752

https://www.hal.inserm.fr/inserm-01887752

Submitted on 4 Oct 2018

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NIDM-Results: a model to share brain mapping

statistical results

Camille Maumet

To cite this version:

Camille Maumet. NIDM-Results: a model to share brain mapping statistical results. CBU Open Science Workshop 2016, Nov 2016, Cambridge, United Kingdom. �inserm-01887752�

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Analysis Pre-processing Publication Raw data Pre-processed data Results Publication

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Publicly

available

data

Analysis Pre-processing Publication Raw data Pre-processed data Results Publication

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Publicly

available

data

Analysis Pre-processing Publication Raw data Pre-processed data Results Publication

< 5% of data

shared in public

repositories

BUT

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Analysis Pre-processing Publication Raw data Pre-processed data Results Publication

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Analysis Pre-processing Publication Raw data Pre-processed data Results Publication

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Analysis Pre-processing Publication Raw data Pre-processed data Results Publication

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Publication

Peak locations

Figure

(selected slices)

Thresholded

statistics

Analysis Pre-processing Publication Raw data Pre-processed data Results Publication

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Publication

Peak locations

Figure

(selected slices)

Thresholded

statistics

Analysis Pre-processing Publication Raw data Pre-processed data Results Publication

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Analysis Pre-processing Raw data Pre-processed data Results

Study 1

Analysis Pre-processing Raw data Pre-processed data Results

Study 2

Analysis Pre-processing Raw data Pre-processed data Results

Study n

...

Meta-analysis

Results

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Coordinate- or Image-Based?

Acquisition Analysis

Experiment Raw data Results

Acquisition Analysis

Experiment Raw data Results

Publication

Publication

Paper

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Coordinate- or Image-Based?

Acquisition Analysis

Experiment Raw data Results

Acquisition Analysis

Experiment Raw data Results

Publication Publication Paper Paper Coordinate-based meta-analysis

Coordinate-based meta-analysis

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Image-based meta-analysis Shared results Full results reporting

Coordinate- or Image-Based?

Acquisition Analysis

Experiment Raw data Results

Acquisition Analysis

Experiment Raw data Results

Publication Publication Paper Paper Coordinate-based meta-analysis

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Standard error

map

Statistic map

E.g. Z-map

Contrast map Design matrix

(png and csv)

NIDM-Results

graph

.nidm

.zip

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NIDM-Results

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http://nidm.nidash.org/specs/nidm-results.html

Definition

Attributes

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Harmonisation across software

• Model of the error

– Prob. distribution:

– Variance:

– Dependence:

heterogeneous Independent noise homogeneous Compound

Symmetry correlatedSerially Arbitrarily correlated

Gaussian Non-Parametric

global

local

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Error models: SPM, FSL and AFNI

Group level

Subject level

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$ nidmfsl ds107.gfeat -g Control 49

pip

https://github.com/incf-nidash/nidmresults-fsl

http://fsl.fmrib.ox.ac.uk

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Coordinate-based meta-analysis

Image-based meta-analysis

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Thank you! To all the INCF

NIDASH task force members.

This work is supported by the

Warwick neurodata sharing Tom Nichols, Alex Bowring, Ruth Pauli,

Peter Williams, Tom Maullin-Sapey.

NIDM working group Tibor Auer, Samir Das, Fariba Fana,

Guillaume Flandin, Satra Ghosh, Tristan Glatard, Chris Gorgolewski, Karl

Helmer, David Keator, Nolan Nichols, Jean-Baptiste Poline, Vanessa

Sochat, Jason Steffener, Jessica Turner.

SPM Guillaume Flandin.

FSL Mark Jenkinson, Matthew Webster, Paul McCarthy, Eugene Duff,

FSL

Steve Smith.

AFNI Gang Chen, Richard Reynolds, Ziad Saad, Robert Cox.

Meta-analysis dataset Tracey group at FMRIB.

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Q & A

Maumet, C. et al. Sharing brain mapping statistical results with

the neuroimaging data model. Sci. Data 3:160102

doi:

10.1038/sdata.2016.102

(2016).

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