Sharing in neuroimaging: collecting with Brainmap, quantitatively analysing and sharing with ANIMA

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Sharing in neuroimaging:

collecting with Brainmap,

quantitatively analysing and

sharing with ANIMA

Sarah Genon

Cogni&ve Neuroscience Group Ins&tute of Clinical Neuroscience

and Medical Psychology Heinrich Heine University Düsseldorf, Germany

Brain Network Modelling Group Ins&tute of Neuroscience and Medicine (INM-‐1)

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Sharing in neuroimaging

•  Rela&ng brain and behavior

•  Brainmap database •  Quan&ta&ve approaches •  Meta-‐analyses •  MACM •  MACM-‐based CBP •  ANIMA

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Interce_ption

EMOTIONS

COGNITI_{VE CON}

TROL

REACHING

Rela&ng brain and behavior

B R A I N

B

E

H

A

V

I

O

R

A_C T ION E_X E_C UT ION Act ion_p re pa_ra tio n Mo tor lea_rn ing Face recognition Top-‐down a3en5on Bottom-up attention OBJECT RECO GNITI_ON SEN SE O F TO U CH THEORY OF MIND DECISION EXPECTATION Language production Working memory Social judgment

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Task-‐based PET and fMRI studies

Rela&ng brain and behavior

Plant or animal?

horse

Plant or animal? horse Font color? Green Similar to 2-‐back?

M

more than 20 000 published studies more than 1 000 published studies

What is her name?

1. Caroline Ravin 2. Stéphanie Dupont 3. Stéphanie Rufon 4. Caroline Mar&n

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Emo&on _Interocep&on Empathy Gusta&on Somatosensa&on Episodic memory Pain Working memory Olfac&on Mo&on A[en&on Language Speech

Func5onally characterizing the insula

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Inters&muli interval

Wide range of brain regions

Verbal s&muli Reten&on interval Memory load N-‐back task Loca&on

Wide range of varia&ons in behavioral paradigms Visual s&muli Object Sternberg task Audi&ve s&muli

Neuroimaging working memory

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•  Database of published neuroimaging studies:

–  2714 func&onal studies (13034 experiments) –  905 VBM studies (2892 experiments)

•  Coordinate-‐based results

–  x,y,z in MNI or talairach space

•  Sodware and concepts for quan&ta&ve integra&on

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Quan&ta&ve methods: meta-‐analy&c approaches

Brain regions most consistently ac5vated by a par5cular type of func5on/paradigm/behavioral condi5on

Func5onal meta-‐analysis

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Ac5va5on Likelihood Es5ma5on (ALE)

x

y

Union over experiments

Signiﬁcance assessed against random spa5al associa5on

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Core working memory network across 113 studies

(Ro[schy et al., 2012) Func5onal diﬀeren5a5on within the insula

(Kurth et al., 2010) Quan&ta&ve methods: meta-‐analy&c approaches cogni5ve sensori-‐motor

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Iden5ﬁca5on of co-‐ac5va5on pa3ern of voxels of interest across studies

MACM

Meta-‐analy5c Connec5vity Modeling

Seed region Filter Brainmap Foci across studies

Co-‐ac5va5on pa3ern Co-‐ac5va5on matrix

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Parcella&on of brain regions according to the co-‐ac&va&on pa[ern of their voxels

MACM-‐based parcella5on (MACM-‐CBP)

VOI region

Individual VOI voxels

In di vi du al V O I vo xel s Similarity matrix

Clustering of voxels MACM

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Func5onal decoding of clusters

Cluster x Search by loca5on Paradigm Classes E.g.: n-‐back Behavioral Domains

E.g.: working memory Filter Brainmap

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MACM-‐based CBP

Func5onal decoding in Brainmap database

(Genon et al., in revisions)

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Decreased gray ma[er in psychiatric pa&ents

VBM meta-‐analysis

Goodkind et al., 2015:

193 VBM studies:

Schizophrenia Major depression Anxiety disorders

Substance abuse disorders

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Func&onal meta-‐analysis:

Working memory core network

MACM-‐based CBP and func&onal decoding: right PMd

(Goodkind et al., 2015) (Ro[schy et al., 2012)

VBM meta-‐analysis:

decreased gray ma[er in psychiatric pa&ents

(Genon et al., in revisions)

Outcomes of

quan&ta&ve approaches to big data

(Goodkind et al., 2015)

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rchive of euro maging eta-‐ nalysis

Andrew Reid, Danilo Bzdok, Sarah Genon, Robert Langner, Veronika Müller, Claudia Eickhoff, Felix Hoffstaedter, Edna-‐Clarisse Cieslik, Svenja Caspers, Peter Fox, Angela Laird, Katrin Amunts and Simon Eickhoff. Neuroimage. In press.

h3p://anima.modelgui.org/

Outcomes of

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ANIMA: compare data

Le] insula decrease in psychatric pa5ents (Goodkind et al., 2015)

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ANIMA: Overview

look directly

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•  

Thousands of neuroimaging studies

•  

Brainmap collects and organizes the data

•  

Meta-‐analy&c methods consolidate pa[erns

Summary and perspec&ves

Where (brain) ? Working memory What (behavior) ? N-‐back Winsconsin Card Sor5ng Test Mental rota5on Coworkers (brain) ?

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•  

Sharing and integra&ng with ANIMA

• 

Collabora&ve neurosciences and Human Brain Project:

•  

Mul&modal and mul&scale brain atlases

•  Mul&scale: from cell to structure en&ty

•  Mul&modal: from structural to func&onal data

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Summary and perspec&ves

Microstructure: Jubrain

Structural connec&vity: PDT-‐based CBP

Task-‐based func&onal connec&vity: MACM-‐based CBP Res&ng state func&onal connec&vity: RSFC-‐based CBP

Behavioral func5ons?

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Düsseldorf Katrin Amunts Alfons Schnitzler Karl Zilles Simon Eickhoff Robert Langner Veronika Müller Edna Cieslik Andrew Reid Danilo Bzdok Claudia Rottschy Felix Hoffstaedter Julia Camilleri Rachel Pläschke Deepthi Varikuti Alessandra Nostro San Antonio Peter T. Fox Miami Angela R. Laird Funding: [email: s.genon@fz-‐juelich.de]

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Examples of paradigm

N-‐back

Sternberg task

Wisconsin Card Sor&ng Test

Structured behavioral taxonomy

Behavioral domain Cogni5on

A[en&on Langage Orthography Phonology Seman&cs Speech Syntax Memory Explicit Implicit Working Music Reasoning Soma Space Time Paradigm class

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Gathering and sharing data: Brainmap database

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