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Understanding functional diversity of brain regions and brain networks Luiz Pessoa Department of Psychology Maryland Neuroimaging Center University of Maryland, College Park
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Understanding functional diversity of brain regions and brain networks

Feb 22, 2016

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Understanding functional diversity of brain regions and brain networks. Luiz Pessoa Department of Psychology Maryland Neuroimaging Center University of Maryland, College Park. Joint work with. Michael Anderson: Franklin & Marshall Lucina Uddin : Stanford/University of Miami - PowerPoint PPT Presentation
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Understanding functional diversity of brain regions and brain networksLuiz PessoaDepartment of Psychology Maryland Neuroimaging CenterUniversity of Maryland, College Park1Joint work withMichael Anderson: Franklin & Marshall

Lucina Uddin: Stanford/University of Miami

Josh Kinnison: University of MarylandOne-to-one mapping

A1A2A3A4F1F2F3F4amygdalafearStructure-function mapping3Many-to-many mapping

A1A2A3A4F1F2F3F4Structure-function mappingamygdalafearvalueventral striatum4Structure-function mapping

EmotionCognitionMotivationPerceptionAction

?5Functional fingerprintUnderstanding brain regions via functional repertoires: multidimensional

RegionsPassingham et al. (2002)6Functional fingerprintUnderstanding brain regions via functional repertoires: imaging data

BrainMapNeuroSynthTask domains(ontology)7Functional fingerprintUnderstanding brain regions via functional repertoires: imaging data

8Functional diversity indexRegions will be more or less diverse

Use Shannon Entropy

Anderson, Kinnison, and Pessoa (2013), Neuroimage9Voxelwise diversity H

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Functional diversity: networks

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Functional diversity: networks

Network fingerprint12Brain networks

Fronto-parietal attention network(co-activation of BrainMap data)Toro et al. (2008)13Functional fingerprint

14Brain networks

Cingulo-parietal resting-state network(co-activation of BrainMap data)Toro et al. (2008)15Functional fingerprint

16Understanding insula function

Deen et al. (2010)Understanding insula function

Uddin et al. (submitted)Determine co-activation partners(using NeuroSynth)Understanding insula functionUddin et al. (submitted)Determine co-activation partners(using NeuroSynth)

Understanding insula functionUddin et al. (submitted)Determine co-activation partners(using NeuroSynth)

Understanding insula function

Common fingerprintAll insula sub-sectors are highly diverse(cf. tripartite cognitive-affective-interoceptive scheme)Understanding insula functionSpecific fingerprint components

Left dorsal anterior insulameanPhonologyWorking memoryReasoningSadnessHappinessFearUnderstanding insula function

Specific fingerprint components Dorsal Posterior VentralCognitiveAffectiveBrain networksFronto-parietal: attentionCingulo-opercular: resting-stateDorsal attention: endogenous attentionVentral attention: exogenous attentionFronto-parietal: rapid adaptive controlCingulo-opercular: stable set control

List goes on and onToro et al. (2008)24How to compare networks?

Task positiveTask negative25How to compare networksEvaluate whether two sets (i.e., networks) of fingerprints are drawn from the same parent distributionStatistical energy (Aslan and Zech, 2005)

26How to compare networksStatistical energy

XY27Comparing networksPermutation testing of XY

Task-positive vs. Task-negative(co-activation data)

Task-positive (co-activation; Toro et al. 2008) vs. Dorsal attention(resting-state; Yeo et al. 2011)28Are brain networks assortative?Assortativity: like connects with like

29How to compare networksStatistical energyFunctional distancePairs of regions within a networkPairs of regions between networks

XYZ30Are brain networks assortative?

Networks31Are brain networks assortative?

Dorsal attention32Are brain networks assortative?

Ventral attention33Are brain networks assortative?

Default networkDis-assortative34Are brain networks assortative?

Default network: should fragment into several subnetworksDis-assortative35SummaryCharacterize contributions of individual brain regions and networks without using singular task-bound functional attributions

Described quantitative property of networks functional assortativity that can be useful in understanding the functional and compositional similarities and differences between networksA1A2A3NC2NC4NC3NC1Brain areasNeural computationsBehaviorsA4Network 1Network 2Network 3

CognitiveStructure-function mappingPessoa (2008), Nature Reviews Neuroscience37CollaboratorsMichael AndersonJosh KinnisonLucina Uddin

National Institute of Mental Healthemotioncognition.org38