Patterns of connectome variability in autism across five functional activation tasks: Findings from the LEAP project

Tristan Looden; Dorothea L. Floris; Alberto Llera; Roselyne J. Chauvin; Tony Charman; Tobias Banaschewski; Declan G. M. Murphy; Andre. F. Marquand; Jan K. Buitelaar; Christian F. Beckmann; Jumana Ahmad; Sara Ambrosino; Bonnie Auyeung; Tobias Banaschewski; Simon Baron-cohen; Sarah Baumeister; Christian F. Beckmann; Sven Bölte; Thomas Bourgeron; Carsten Bours; Michael Brammer; Daniel Brandeis; Claudia Brogna; Yvette De Bruijn; Jan K. Buitelaar; Bhismadev Chakrabarti; Tony Charman; Ineke Cornelissen; Daisy Crawley; Flavio Dell’ Acqua; Guillaume Dumas; Sarah Durston; Christine Ecker; Jessica Faulkner; Vincent Frouin; Pilar Garcés; David Goyard; Lindsay Ham; Hannah Hayward; Joerg Hipp; Rosemary Holt; Mark H. Johnson; Emily J. H. Jones; Prantik Kundu; Meng-chuan Lai; Xavier Liogier D’ardhuy; Michael V. Lombardo; Eva Loth; David J. Lythgoe; René Mandl; Andre Marquand; Luke Mason; Maarten Mennes; Andreas Meyer-lindenberg; Carolin Moessnang; Nico Mueller; Declan G. M. Murphy; Bethany Oakley; Laurence O’dwyer; Marianne Oldehinkel; Bob Oranje; Gahan Pandina; Antonio M. Persico; Annika Rausch; Barbara Ruggeri; Amber Ruigrok; Jessica Sabet; Roberto Sacco; Antonia San José Cáceres; Emily Simonoff; Will Spooren; Julian Tillmann; Roberto Toro; Heike Tost; Jack Waldman; Steve C. R. Williams; Caroline Wooldridge; Iva Ilioska; Ting Mei; Marcel P. Zwiers

doi:10.1186/s13229-022-00529-y

Patterns of connectome variability in autism across five functional activation tasks: Findings from the LEAP project

Tristan Looden, Dorothea L. Floris, Alberto Llera, Roselyne J. Chauvin, Tony Charman, Tobias Banaschewski, Declan G. M. Murphy, Andre. F. Marquand, Jan K. Buitelaar, Christian F. Beckmann, Jumana Ahmad, Sara Ambrosino, Bonnie Auyeung, Tobias Banaschewski, Simon Baron-cohen, Sarah Baumeister, Christian F. Beckmann, Sven Bölte, Thomas Bourgeron, Carsten BoursMichael Brammer, Daniel Brandeis, Claudia Brogna, Yvette De Bruijn, Jan K. Buitelaar, Bhismadev Chakrabarti, Tony Charman, Ineke Cornelissen, Daisy Crawley, Flavio Dell’ Acqua, Guillaume Dumas, Sarah Durston, Christine Ecker, Jessica Faulkner, Vincent Frouin, Pilar Garcés, David Goyard, Lindsay Ham, Hannah Hayward, Joerg Hipp, Rosemary Holt, Mark H. Johnson, Emily J. H. Jones, Prantik Kundu, Meng-chuan Lai, Xavier Liogier D’ardhuy, Michael V. Lombardo, Eva Loth, David J. Lythgoe, René Mandl, Andre Marquand, Luke Mason, Maarten Mennes, Andreas Meyer-lindenberg, Carolin Moessnang, Nico Mueller, Declan G. M. Murphy, Bethany Oakley, Laurence O’dwyer, Marianne Oldehinkel, Bob Oranje, Gahan Pandina, Antonio M. Persico, Annika Rausch, Barbara Ruggeri, Amber Ruigrok, Jessica Sabet, Roberto Sacco, Antonia San José Cáceres, Emily Simonoff, Will Spooren, Julian Tillmann, Roberto Toro, Heike Tost, Jack Waldman, Steve C. R. Williams, Caroline Wooldridge, Iva Ilioska, Ting Mei, Marcel P. Zwiers

Research output: Contribution to journal › Article › peer-review

Abstract

Background: Autism spectrum disorder (autism) is a complex neurodevelopmental condition with pronounced behavioral, cognitive, and neural heterogeneities across individuals. Here, our goal was to characterize heterogeneity in autism by identifying patterns of neural diversity as reflected in BOLD fMRI in the way individuals with autism engage with a varied array of cognitive tasks. Methods: All analyses were based on the EU-AIMS/AIMS-2-TRIALS multisite Longitudinal European Autism Project (LEAP) with participants with autism (n = 282) and typically developing (TD) controls (n = 221) between 6 and 30 years of age. We employed a novel task potency approach which combines the unique aspects of both resting state fMRI and task-fMRI to quantify task-induced variations in the functional connectome. Normative modelling was used to map atypicality of features on an individual basis with respect to their distribution in neurotypical control participants. We applied robust out-of-sample canonical correlation analysis (CCA) to relate connectome data to behavioral data. Results: Deviation from the normative ranges of global functional connectivity was greater for individuals with autism compared to TD in each fMRI task paradigm (all tasks p

Original language	English
Article number	53
Journal	Molecular Autism
Volume	13
Early online date	27 Dec 2022
DOIs	https://doi.org/10.1186/s13229-022-00529-y
Publication status	Published - 2022

Keywords

autism
fMRI
functional connectivity
normative modeling
heterogeneity
canonical correlation analysis

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LoodenEtAlMA2022PatternsConnectomeVariabilityAutismFinal published version, 1.52 MBLicence: Creative Commons: Attribution (CC-BY)

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Looden, T., Floris, D. L., Llera, A., Chauvin, R. J., Charman, T., Banaschewski, T., Murphy, D. G. M., Marquand, A. F., Buitelaar, J. K., Beckmann, C. F., Ahmad, J., Ambrosino, S., Auyeung, B., Banaschewski, T., Baron-cohen, S., Baumeister, S., Beckmann, C. F., Bölte, S., Bourgeron, T., ... Zwiers, M. P. (2022). Patterns of connectome variability in autism across five functional activation tasks: Findings from the LEAP project. Molecular Autism, 13, [53]. https://doi.org/10.1186/s13229-022-00529-y

@article{70a55d581ea64c1b94ddef55f2a95a5f,

title = "Patterns of connectome variability in autism across five functional activation tasks: Findings from the LEAP project",

abstract = "Background: Autism spectrum disorder (autism) is a complex neurodevelopmental condition with pronounced behavioral, cognitive, and neural heterogeneities across individuals. Here, our goal was to characterize heterogeneity in autism by identifying patterns of neural diversity as reflected in BOLD fMRI in the way individuals with autism engage with a varied array of cognitive tasks. Methods: All analyses were based on the EU-AIMS/AIMS-2-TRIALS multisite Longitudinal European Autism Project (LEAP) with participants with autism (n = 282) and typically developing (TD) controls (n = 221) between 6 and 30 years of age. We employed a novel task potency approach which combines the unique aspects of both resting state fMRI and task-fMRI to quantify task-induced variations in the functional connectome. Normative modelling was used to map atypicality of features on an individual basis with respect to their distribution in neurotypical control participants. We applied robust out-of-sample canonical correlation analysis (CCA) to relate connectome data to behavioral data. Results: Deviation from the normative ranges of global functional connectivity was greater for individuals with autism compared to TD in each fMRI task paradigm (all tasks p ",

keywords = "autism, fMRI, functional connectivity, normative modeling, heterogeneity, canonical correlation analysis",

author = "Tristan Looden and Floris, {Dorothea L.} and Alberto Llera and Chauvin, {Roselyne J.} and Tony Charman and Tobias Banaschewski and Murphy, {Declan G. M.} and Marquand, {Andre. F.} and Buitelaar, {Jan K.} and Beckmann, {Christian F.} and Jumana Ahmad and Sara Ambrosino and Bonnie Auyeung and Tobias Banaschewski and Simon Baron-cohen and Sarah Baumeister and Beckmann, {Christian F.} and Sven B{\"o}lte and Thomas Bourgeron and Carsten Bours and Michael Brammer and Daniel Brandeis and Claudia Brogna and {De Bruijn}, Yvette and Buitelaar, {Jan K.} and Bhismadev Chakrabarti and Tony Charman and Ineke Cornelissen and Daisy Crawley and Acqua, {Flavio Dell{\textquoteright}} and Guillaume Dumas and Sarah Durston and Christine Ecker and Jessica Faulkner and Vincent Frouin and Pilar Garc{\'e}s and David Goyard and Lindsay Ham and Hannah Hayward and Joerg Hipp and Rosemary Holt and Johnson, {Mark H.} and Jones, {Emily J. H.} and Prantik Kundu and Meng-chuan Lai and D{\textquoteright}ardhuy, {Xavier Liogier} and Lombardo, {Michael V.} and Eva Loth and Lythgoe, {David J.} and Ren{\'e} Mandl and Andre Marquand and Luke Mason and Maarten Mennes and Andreas Meyer-lindenberg and Carolin Moessnang and Nico Mueller and Murphy, {Declan G. M.} and Bethany Oakley and Laurence O{\textquoteright}dwyer and Marianne Oldehinkel and Bob Oranje and Gahan Pandina and Persico, {Antonio M.} and Annika Rausch and Barbara Ruggeri and Amber Ruigrok and Jessica Sabet and Roberto Sacco and C{\'a}ceres, {Antonia San Jos{\'e}} and Emily Simonoff and Will Spooren and Julian Tillmann and Roberto Toro and Heike Tost and Jack Waldman and Williams, {Steve C. R.} and Caroline Wooldridge and Iva Ilioska and Ting Mei and Zwiers, {Marcel P.}",

year = "2022",

doi = "10.1186/s13229-022-00529-y",

language = "English",

volume = "13",

journal = "Molecular Autism",

issn = "2040-2392",

publisher = "BioMed Central",

}

Looden, T, Floris, DL, Llera, A, Chauvin, RJ, Charman, T, Banaschewski, T, Murphy, DGM, Marquand, AF, Buitelaar, JK, Beckmann, CF, Ahmad, J, Ambrosino, S, Auyeung, B, Banaschewski, T, Baron-cohen, S, Baumeister, S, Beckmann, CF, Bölte, S, Bourgeron, T, Bours, C, Brammer, M, Brandeis, D, Brogna, C, De Bruijn, Y, Buitelaar, JK, Chakrabarti, B, Charman, T, Cornelissen, I, Crawley, D, Acqua, FD, Dumas, G, Durston, S, Ecker, C, Faulkner, J, Frouin, V, Garcés, P, Goyard, D, Ham, L, Hayward, H, Hipp, J, Holt, R, Johnson, MH, Jones, EJH, Kundu, P, Lai, M, D’ardhuy, XL, Lombardo, MV, Loth, E, Lythgoe, DJ, Mandl, R, Marquand, A, Mason, L, Mennes, M, Meyer-lindenberg, A, Moessnang, C, Mueller, N, Murphy, DGM, Oakley, B, O’dwyer, L, Oldehinkel, M, Oranje, B, Pandina, G, Persico, AM, Rausch, A, Ruggeri, B, Ruigrok, A, Sabet, J, Sacco, R, Cáceres, ASJ, Simonoff, E, Spooren, W, Tillmann, J, Toro, R, Tost, H, Waldman, J, Williams, SCR, Wooldridge, C, Ilioska, I, Mei, T & Zwiers, MP 2022, 'Patterns of connectome variability in autism across five functional activation tasks: Findings from the LEAP project', Molecular Autism, vol. 13, 53. https://doi.org/10.1186/s13229-022-00529-y

TY - JOUR

T1 - Patterns of connectome variability in autism across five functional activation tasks

T2 - Findings from the LEAP project

AU - Looden, Tristan

AU - Floris, Dorothea L.

AU - Llera, Alberto

AU - Chauvin, Roselyne J.

AU - Charman, Tony

AU - Banaschewski, Tobias

AU - Murphy, Declan G. M.

AU - Marquand, Andre. F.

AU - Buitelaar, Jan K.

AU - Beckmann, Christian F.

AU - Ahmad, Jumana

AU - Ambrosino, Sara

AU - Auyeung, Bonnie

AU - Banaschewski, Tobias

AU - Baron-cohen, Simon

AU - Baumeister, Sarah

AU - Beckmann, Christian F.

AU - Bölte, Sven

AU - Bourgeron, Thomas

AU - Bours, Carsten

AU - Brammer, Michael

AU - Brandeis, Daniel

AU - Brogna, Claudia

AU - De Bruijn, Yvette

AU - Buitelaar, Jan K.

AU - Chakrabarti, Bhismadev

AU - Charman, Tony

AU - Cornelissen, Ineke

AU - Crawley, Daisy

AU - Acqua, Flavio Dell’

AU - Dumas, Guillaume

AU - Durston, Sarah

AU - Ecker, Christine

AU - Faulkner, Jessica

AU - Frouin, Vincent

AU - Garcés, Pilar

AU - Goyard, David

AU - Ham, Lindsay

AU - Hayward, Hannah

AU - Hipp, Joerg

AU - Holt, Rosemary

AU - Johnson, Mark H.

AU - Jones, Emily J. H.

AU - Kundu, Prantik

AU - Lai, Meng-chuan

AU - D’ardhuy, Xavier Liogier

AU - Lombardo, Michael V.

AU - Loth, Eva

AU - Lythgoe, David J.

AU - Mandl, René

AU - Marquand, Andre

AU - Mason, Luke

AU - Mennes, Maarten

AU - Meyer-lindenberg, Andreas

AU - Moessnang, Carolin

AU - Mueller, Nico

AU - Murphy, Declan G. M.

AU - Oakley, Bethany

AU - O’dwyer, Laurence

AU - Oldehinkel, Marianne

AU - Oranje, Bob

AU - Pandina, Gahan

AU - Persico, Antonio M.

AU - Rausch, Annika

AU - Ruggeri, Barbara

AU - Ruigrok, Amber

AU - Sabet, Jessica

AU - Sacco, Roberto

AU - Cáceres, Antonia San José

AU - Simonoff, Emily

AU - Spooren, Will

AU - Tillmann, Julian

AU - Toro, Roberto

AU - Tost, Heike

AU - Waldman, Jack

AU - Williams, Steve C. R.

AU - Wooldridge, Caroline

AU - Ilioska, Iva

AU - Mei, Ting

AU - Zwiers, Marcel P.

PY - 2022

Y1 - 2022

N2 - Background: Autism spectrum disorder (autism) is a complex neurodevelopmental condition with pronounced behavioral, cognitive, and neural heterogeneities across individuals. Here, our goal was to characterize heterogeneity in autism by identifying patterns of neural diversity as reflected in BOLD fMRI in the way individuals with autism engage with a varied array of cognitive tasks. Methods: All analyses were based on the EU-AIMS/AIMS-2-TRIALS multisite Longitudinal European Autism Project (LEAP) with participants with autism (n = 282) and typically developing (TD) controls (n = 221) between 6 and 30 years of age. We employed a novel task potency approach which combines the unique aspects of both resting state fMRI and task-fMRI to quantify task-induced variations in the functional connectome. Normative modelling was used to map atypicality of features on an individual basis with respect to their distribution in neurotypical control participants. We applied robust out-of-sample canonical correlation analysis (CCA) to relate connectome data to behavioral data. Results: Deviation from the normative ranges of global functional connectivity was greater for individuals with autism compared to TD in each fMRI task paradigm (all tasks p

AB - Background: Autism spectrum disorder (autism) is a complex neurodevelopmental condition with pronounced behavioral, cognitive, and neural heterogeneities across individuals. Here, our goal was to characterize heterogeneity in autism by identifying patterns of neural diversity as reflected in BOLD fMRI in the way individuals with autism engage with a varied array of cognitive tasks. Methods: All analyses were based on the EU-AIMS/AIMS-2-TRIALS multisite Longitudinal European Autism Project (LEAP) with participants with autism (n = 282) and typically developing (TD) controls (n = 221) between 6 and 30 years of age. We employed a novel task potency approach which combines the unique aspects of both resting state fMRI and task-fMRI to quantify task-induced variations in the functional connectome. Normative modelling was used to map atypicality of features on an individual basis with respect to their distribution in neurotypical control participants. We applied robust out-of-sample canonical correlation analysis (CCA) to relate connectome data to behavioral data. Results: Deviation from the normative ranges of global functional connectivity was greater for individuals with autism compared to TD in each fMRI task paradigm (all tasks p

KW - autism

KW - fMRI

KW - functional connectivity

KW - normative modeling

KW - heterogeneity

KW - canonical correlation analysis

U2 - 10.1186/s13229-022-00529-y

DO - 10.1186/s13229-022-00529-y

M3 - Article

VL - 13

JO - Molecular Autism

JF - Molecular Autism

SN - 2040-2392

M1 - 53

ER -

Patterns of connectome variability in autism across five functional activation tasks: Findings from the LEAP project

Abstract

Keywords

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