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Let's do open neuroimaging sciences

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HAL Id: inserm-02146290

https://www.hal.inserm.fr/inserm-02146290

Submitted on 3 Jun 2019

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émanant des établissements d’enseignement et de

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publics ou privés.

Let’s do open neuroimaging sciences

Camille Maumet

To cite this version:

Camille Maumet. Let’s do open neuroimaging sciences. GEANT 2019 - Workshop GEstion et pArtage

de données en NeuroinformaTique, May 2019, Marseille, France. pp.1-54. �inserm-02146290�

(2)

Let’s do

open

neuroimaging

sciences

Camille Maumet

Univ Rennes, Inria, CNRS, Inserm

IRISA UMR 6074, Empenn ERL U-1228

GEANT workshop

May 21st, 2019

(3)

Why open?

Some thoughts on

(4)

Why open?

Thoughts on

(5)

4

Slide by Tal Yarkoni (reused with permission), adapted.

(6)

5

Slide by Tal Yarkoni (reused with permission), adapted.

(7)

6

(8)

7

Greater amygdala activation in response

to affective mammalian expressions

relative to neutral mammalian expressions

Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo. Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam est, qui dolorem ipsum quia dolor sit amet.

Consectetur, adipisci velit, sed quia non numquam eius modi tempora incidunt ut labore et dolore magnam aliquam quaerat voluptatem. Ut enim ad minima veniam, quis nostrum exercitationem ullam corporis suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur? Quis autem vel eum iure reprehenderit qui in ea voluptate velit esse quam nihil molestiae consequatur, vel illum qui dolorem eum fugiat quo voluptas nulla pariatur?

(9)

8

Greater amygdala activation in

22

UT-Austin undergraduates

when

viewing

images angsty_tree_panda.jpg and

panda_delight.png

than

image

pand_goes_meh.jpg

Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo. Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam est, qui dolorem ipsum quia dolor sit amet.

Consectetur, adipisci velit, sed quia non numquam eius modi tempora incidunt ut labore et dolore magnam aliquam quaerat voluptatem. Ut enim ad minima veniam, quis nostrum exercitationem ullam corporis suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur? Quis autem vel eum iure reprehenderit qui in ea voluptate velit esse quam nihil molestiae consequatur, vel illum qui dolorem eum fugiat quo voluptas nulla pariatur?

Greater amygdala activation in response

to affective mammalian expressions

relative to neutral mammalian expressions

Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo. Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam est, qui dolorem ipsum quia dolor sit amet.

Consectetur, adipisci velit, sed quia non numquam eius modi tempora incidunt ut labore et dolore magnam aliquam quaerat voluptatem. Ut enim ad minima veniam, quis nostrum exercitationem ullam corporis suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur? Quis autem vel eum iure reprehenderit qui in ea voluptate velit esse quam nihil molestiae consequatur, vel illum qui dolorem eum fugiat quo voluptas nulla pariatur?

???

(10)

How can we get

there?

Variations on

(11)

How can we get

there?

Variations on

(12)

Robustness to generalizability

11

(13)

Robustness to generalizability

12

Replicate

Different lab

Same experiment

Same settings

Reproduce

Different lab

Same experiment

Different settings

Repeat

Same lab

Same experiment

Same settings

Robustness

Generalizability

(14)

13

(15)

14

2015: 30 participants

Low diversity &

Low statistical power

Sample sizes in neuroimaging

(16)

Robustness to generalizability

15

Replicate

Different lab

Same experiment

Same settings

Reproduce

Different lab

Same experiment

Different settings

Repeat

Same lab

Same experiment

Same settings

Re-use

Different lab

Different experiment

Different settings

Robustness

Generalizability

(17)

On our way…

Tools & standards to

(18)

On our way…

Tools & standards to

(19)

18

Statistical analysis

Preprocessing

Derived data

Publishing research artefacts

(20)

19

Statistical analysis

Preprocessing

Derived data

Publishing research artefacts

(21)

20

Statistical analysis

Preprocessing

Derived data

Publishing research artefacts

HAL, BiorXiv

Pubmed

(22)

21

Statistical analysis

Preprocessing

Derived data

Publishing research artefacts

HAL, BiorXiv

Pubmed

(23)

Brain Imaging Data Structure

(BIDS)

22

(24)

BIDS adoption

23

● Extensions: MEG, iEEG, EEG (just released)

(25)

24

BIDS-apps

[Gorgolewski et. al, Plos Comp. Bio. 2017]

(26)

25

Statistical analysis

Preprocessing

Derived data

Publishing research artefacts

HAL, BiorXiv

Pubmed

(27)

26

Statistical analysis

Preprocessing

Derived data

Publishing research artefacts

HAL, BiorXiv

Pubmed

(28)

27

Statistical analysis

Preprocessing

Derived data

Publishing research artefacts

HAL, BiorXiv

Pubmed

(29)

fMRI Results

28

Publication

Peak locations

Figure

(selected slices)

Thresholded

statistics

❌ Incomplete statistical results

❌ Ambiguous/incomplete methods

❌ Metadata is not searchable

(30)

NIDM-Results pack

NIDM-Results

.nidm.zip

29

[Maumet et al.,

Sci. Data 2016]

(31)

NIDM-Results pack

NIDM-Results

.nidm.zip

30

[Maumet et al.,

Sci. Data 2016]

(32)

NIDM in SPM, FSL & NeuroVault

Native export

NIDM-Results

31

2. Publication on NeuroVault

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

1.

Export

(33)

Meta-analysis w/ NIDM-Results

Coordinate-based meta-analysis

Image-based meta-analysis

32

(34)

33

Statistical analysis

Preprocessing

Derived data

Publishing research artefacts

HAL, BiorXiv

Pubmed

(35)

34

Statistical analysis

Preprocessing

Derived data

Publishing research artefacts

HAL, BiorXiv

Pubmed

(36)

35

Statistical analysis

Preprocessing

Derived data

Publishing research artefacts

HAL, BiorXiv

Pubmed

(37)

36

Statistical analysis

Preprocessing

Derived data

Publishing research artefacts

HAL, BiorXiv

Pubmed

(38)

37

Statistical analysis

Preprocessing

Derived data

Publishing research artefacts

HAL, BiorXiv

Pubmed

(39)

On our way…

Linking it all with

(40)

Research Community

Dashboard

A window to community’s

research.

Open Science as a Service

(41)

Facilitate Research Communities

adoption of Open Science

publishing principles by supporting

artefact publishing tools

as-a-Service

Open Science as-a-Service

for Research Communities

(42)

Slide about broker and RCD and how they

interact!

(43)

Implement

the latest Open

Science trends:

FAIR data, open

data

A virtual environment designed for your Community

Share

all your research

results:

publications,

data, software,

methods

Link

all your research

effectively

Gather

all your research

results in one

place

Monitor

and report your

community’s

progress

Research Community Dashboard

(44)

Community dashboards

(45)

Neuroinformatics: monitor

(46)

Neuroinformatics: link

(47)

Neuroinformatics: project view

(48)

“Gather, view and monitor all

research outcomes”

47

Live demo during the poster session!

by Xavier Rolland

(49)
(50)

Going further

(51)

50

Taking part in Standards & Best practices

INCF Special Interest Groups

BIDS, NIDM & more!

Create your own SIG!

https://www.incf.org/activities/standards-and-best-practices/incf-special-interest-groups

Survey open now!

(52)

51

Getting started & spreading

open science

(53)

52

Researching collaboratively

Hackathons

(54)

53

Thank you!

Tibor Auer, Alexander Bowring, Samir Das, Fariba Fana, Guillaume

Flandin, Satra Ghosh, Tristan Glatard, Chris Gorgolewski, Yaroslaw

Halchenko, Michael Hanke, Karl Helmer, Dorota Jarecka, David Keator,

Tom Maullin-Sapey, Nolan Nichols, Tom Nichols, Smruti Padhy,

Jean-Baptiste Poline, Vanessa Sochat, Jason Steffener, Jessica Turner

& all NIDM and BIDS contributors!

Gang Chen, Richard Reynolds, Robert Cox (AFNI), Mark Jenkinson,

Matthew Webster, Paul McCarthy, Eugene Duff, Steve Smith (FSL),

Guillaume Flandin (SPM).

Meta-analysis datasets Tracey group at FMRIB.

NIDASH working group

Neuroimaging software teams

Acknowledgements

Christian Barillot, Axel Bonnet, Xavier Rolland, Sorina Caramasu Pop.

(55)

54

Thank you!

Any questions?

Presentation template by SlidesCarnival

Camille Maumet

Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn ERL U-1228

Let’s do open neuroimaging

sciences

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