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Longitudinal changes of ADHD symptoms in association with white matter microstructure: a tract-specific fixel-based analysis

View ORCID ProfileChristienne G. Damatac, View ORCID ProfileSourena Soheili-Nezhad, View ORCID ProfileGuilherme Blazquez Freches, View ORCID ProfileMarcel P. Zwiers, Sanne de Bruijn, Seyma Ikde, View ORCID ProfileChristel M. Portengen, View ORCID ProfileAmy C. Abelmann, Janneke T. Dammers, View ORCID ProfileDaan van Rooij, View ORCID ProfileSophie E. A. Akkermans, View ORCID ProfileJilly Naaijen, View ORCID ProfileBarbara Franke, View ORCID ProfileJan K. Buitelaar, View ORCID ProfileChristian F. Beckmann, View ORCID ProfileEmma Sprooten
doi: https://doi.org/10.1101/2021.11.19.469248
Christienne G. Damatac
aCentre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
bDepartment of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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  • For correspondence: christienne.damatac@donders.ru.nl
Sourena Soheili-Nezhad
aCentre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
bDepartment of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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Guilherme Blazquez Freches
aCentre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
bDepartment of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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Marcel P. Zwiers
aCentre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
bDepartment of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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Sanne de Bruijn
aCentre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
bDepartment of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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Seyma Ikde
aCentre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
bDepartment of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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Christel M. Portengen
aCentre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
bDepartment of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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Amy C. Abelmann
aCentre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
bDepartment of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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Janneke T. Dammers
aCentre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
bDepartment of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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Daan van Rooij
aCentre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
bDepartment of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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Sophie E. A. Akkermans
aCentre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
bDepartment of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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Jilly Naaijen
aCentre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
bDepartment of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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Barbara Franke
cDepartment of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
dDepartment of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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Jan K. Buitelaar
aCentre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
bDepartment of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
eKarakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
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Christian F. Beckmann
aCentre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
bDepartment of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
fCentre for Functional MRI of the Brain, Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, UK
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Emma Sprooten
aCentre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
bDepartment of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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  • Abstract
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Abstract

Background Variation in the longitudinal course of childhood attention deficit/hyperactivity disorder (ADHD) coincides with neurodevelopmental maturation of brain structure and function. Prior work has attempted to determine how alterations in white matter (WM) relate to changes in symptom severity, but much of that work has been done in smaller cross-sectional samples using voxel-based analyses. Using standard diffusion-weighted imaging (DWI) methods, we previously showed WM alterations were associated with ADHD symptom remission over time in a longitudinal sample of probands, siblings, and unaffected individuals. Here, we extend this work by further assessing the nature of these changes in WM microstructure by including an additional follow-up measurement (aged 18 – 34 years), and using the more physiologically informative fixel-based analysis (FBA).

Methods Data were obtained from 139 participants over 3 clinical and 2 follow-up DWI waves, and analyzed using FBA in regions-of-interest based on prior findings. We replicated previously reported significant models and extended them by adding another time-point, testing whether changes in combined and hyperactivity-impulsivity (HI) continuous symptom scores are associated with fixel metrics at follow-up.

Results Clinical improvement in HI symptoms over time was associated with more fiber density at follow-up in the left corticospinal tract (lCST) (tmax=1.092, standardized effect[SE]=0.044, pFWE=0.016), and improvement in combined symptoms over time was associated with more fiber cross-section at follow-up in the lCST (tmax=3.775, SE=0.051, pFWE=0.019).

Conclusions Aberrant white matter development involves both lCST micro- and macrostructural alterations and its path may be moderated by preceding symptom trajectory.

Competing Interest Statement

This study sample is from the NeuroIMAGE project. NeuroIMAGE is the longitudinal follow-up study of the Dutch part of the International Multisite ADHD Genetics (IMAGE) project, which was a multi-site, international effort. NeuroIMAGE was supported by an NWO Large Investment Grant 1750102007010 and NWO Brain & Cognition an Integrative Approach Grant (433-09-242) (to J.K.B.), and grants from Radboud University Nijmegen Medical Center, University Medical Center Groningen and Accare, and VU University Amsterdam. Funding agencies had no role in study design, data collection, interpretation or influence on writing. J.N. is supported by an NWO Veni grant (no. VI.Veni.194.032). B.F. receives support from the Netherlands Organization for Scientific Research (NWO), i.e. the Vici Innovation Program (grant 016-130-669). J.K.B. has been in the past 3 years a consultant to / member of advisory board of / and/or speaker for Takeda/Shire, Roche, Medice, Angelini, Janssen, and Servier. He is not an employee of any of these companies, and not a stock shareholder of any of these companies. He has no other financial or material support, including expert testimony, patents, royalties. All other authors report no biomedical financial interests or potential conflicts of interest.

  • Abbreviations

    ADHD
    attention-deficit hyperactivity disorder
    CSD
    constrained spherical deconvolution
    DTI
    diffusion tensor imaging
    DWI
    diffusion-weighted imaging
    FA
    fractional anisotropy
    FBA
    fixel-based analysis
    FC
    fiber cross-section
    FD
    fiber density
    FDC
    fiber density and cross-section
    FOD
    fiber orientation distribution
    HI
    hyperactivity-impulsivity
    IA
    inattention
    lCST
    left corticospinal tract
    lSLF
    left superior longitudinal fasciculus
    MRI
    magnetic resonance imaging
    ROI
    region of interest
    SE
    standardized effect
    WM
    white matter
  • Copyright 
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    Longitudinal changes of ADHD symptoms in association with white matter microstructure: a tract-specific fixel-based analysis
    Christienne G. Damatac, Sourena Soheili-Nezhad, Guilherme Blazquez Freches, Marcel P. Zwiers, Sanne de Bruijn, Seyma Ikde, Christel M. Portengen, Amy C. Abelmann, Janneke T. Dammers, Daan van Rooij, Sophie E. A. Akkermans, Jilly Naaijen, Barbara Franke, Jan K. Buitelaar, Christian F. Beckmann, Emma Sprooten
    bioRxiv 2021.11.19.469248; doi: https://doi.org/10.1101/2021.11.19.469248
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    Longitudinal changes of ADHD symptoms in association with white matter microstructure: a tract-specific fixel-based analysis
    Christienne G. Damatac, Sourena Soheili-Nezhad, Guilherme Blazquez Freches, Marcel P. Zwiers, Sanne de Bruijn, Seyma Ikde, Christel M. Portengen, Amy C. Abelmann, Janneke T. Dammers, Daan van Rooij, Sophie E. A. Akkermans, Jilly Naaijen, Barbara Franke, Jan K. Buitelaar, Christian F. Beckmann, Emma Sprooten
    bioRxiv 2021.11.19.469248; doi: https://doi.org/10.1101/2021.11.19.469248

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