Literature DB >> 32800380

Estimating the Heritability of Developmental Change in Neural Connectivity, and Its Association With Changing Symptoms of Attention-Deficit/Hyperactivity Disorder.

Gustavo Sudre1, Marine Bouyssi-Kobar1, Luke Norman1, Wendy Sharp2, Saadia Choudhury1, Philip Shaw3.   

Abstract

BACKGROUND: Twin studies show that age-related change in symptoms of attention-deficit/hyperactivity disorder (ADHD) is heritable. However, we do not know the heritability of the development of the neural substrates underlying the disorder. Here, we estimated the heritability of developmental change in white matter tracts and the brain's intrinsic functional connectivity using longitudinal data. We further determined associations with change in ADHD symptoms.
METHODS: The study reports on 288 children, which included 127 siblings, 19 cousins, and 142 singletons; 150 (52%) had a diagnosis of ADHD (determined by clinician interview with parent); 188 were male. All had two clinical assessments (overall baseline mean age: 9.4 ± 2.4 years; follow-up: 12.5 ± 2.6 years). Diffusion tensor imaging estimated microstructural properties of white matter tracts on 252 participants. Resting-state functional magnetic resonance imaging estimated intrinsic connectivity within and between major brain networks on 226 participants. Total additive genetic heritability (h2) of the annual rate of change in these neural phenotypes was calculated using SOLAR (Sequential Oligogenic Linkage Analysis Routines).
RESULTS: Significant heritability was found for the rates of change of 6 white matter tract microstructural properties and for change in the connectivity between the ventral attention network and both the cognitive control and dorsal attention networks. Change in hyperactivity-impulsivity was associated with heritable change in white matter tracts metrics and change in the connectivity between the ventral attention and cognitive networks.
CONCLUSIONS: The relatively small number of heritable, ADHD-associated developmental neural phenotypes can serve as phenotypes for future gene discovery and understanding. Published by Elsevier Inc.

Entities:  

Keywords:  ADHD; Connectome; DTI; Developmental; Heritability; Longitudinal; Resting-state fMRI

Mesh:

Year:  2020        PMID: 32800380      PMCID: PMC7736233          DOI: 10.1016/j.biopsych.2020.06.007

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   12.810


  52 in total

1.  Age-related functional brain changes in young children.

Authors:  Xiangyu Long; Alina Benischek; Deborah Dewey; Catherine Lebel
Journal:  Neuroimage       Date:  2017-04-28       Impact factor: 6.556

2.  Differential motor and prefrontal cerebello-cortical network development: Evidence from multimodal neuroimaging.

Authors:  Jessica A Bernard; Joseph M Orr; Vijay A Mittal
Journal:  Neuroimage       Date:  2015-09-21       Impact factor: 6.556

Review 3.  The development of brain white matter microstructure.

Authors:  Catherine Lebel; Sean Deoni
Journal:  Neuroimage       Date:  2018-01-03       Impact factor: 6.556

4.  Shyness and Trajectories of Functional Network Connectivity Over Early Adolescence.

Authors:  Chad M Sylvester; Diana J Whalen; Andy C Belden; Shana L Sanchez; Joan L Luby; Deanna M Barch
Journal:  Child Dev       Date:  2017-12-08

5.  Reduced anterior corpus callosum white matter integrity is related to increased impulsivity and reduced discriminability in cocaine-dependent subjects: diffusion tensor imaging.

Authors:  Frederick Gerard Moeller; Khader M Hasan; Joel L Steinberg; Larry A Kramer; Donald M Dougherty; Rafael M Santos; Ignacio Valdes; Alan C Swann; Ernest S Barratt; Ponnada A Narayana
Journal:  Neuropsychopharmacology       Date:  2005-03       Impact factor: 7.853

6.  Developmental trajectories of the corpus callosum in attention-deficit/hyperactivity disorder.

Authors:  Mary Gilliam; Michael Stockman; Meaghan Malek; Wendy Sharp; Deanna Greenstein; Francois Lalonde; Liv Clasen; Jay Giedd; Judith Rapoport; Philip Shaw
Journal:  Biol Psychiatry       Date:  2011-01-17       Impact factor: 13.382

7.  Association of Genetic Risk Variants With Attention-Deficit/Hyperactivity Disorder Trajectories in the General Population.

Authors:  Lucy Riglin; Stephan Collishaw; Ajay K Thapar; Søren Dalsgaard; Kate Langley; George Davey Smith; Evie Stergiakouli; Barbara Maughan; Michael C O'Donovan; Anita Thapar
Journal:  JAMA Psychiatry       Date:  2016-12-01       Impact factor: 21.596

8.  Longitudinal changes in resting-state fMRI from age 5 to age 6years covary with language development.

Authors:  Yaqiong Xiao; Angela D Friederici; Daniel S Margulies; Jens Brauer
Journal:  Neuroimage       Date:  2015-12-12       Impact factor: 6.556

Review 9.  Development of the uncinate fasciculus: Implications for theory and developmental disorders.

Authors:  Ingrid R Olson; Rebecca J Von Der Heide; Kylie H Alm; Govinda Vyas
Journal:  Dev Cogn Neurosci       Date:  2015-06-23       Impact factor: 6.464

10.  Homogenizing Estimates of Heritability Among SOLAR-Eclipse, OpenMx, APACE, and FPHI Software Packages in Neuroimaging Data.

Authors:  Peter Kochunov; Binish Patel; Habib Ganjgahi; Brian Donohue; Meghann Ryan; Elliot L Hong; Xu Chen; Bhim Adhikari; Neda Jahanshad; Paul M Thompson; Dennis Van't Ent; Anouk den Braber; Eco J C de Geus; Rachel M Brouwer; Dorret I Boomsma; Hilleke E Hulshoff Pol; Greig I de Zubicaray; Katie L McMahon; Nicholas G Martin; Margaret J Wright; Thomas E Nichols
Journal:  Front Neuroinform       Date:  2019-03-12       Impact factor: 4.081

View more
  3 in total

1.  Evidence from "big data" for the default-mode hypothesis of ADHD: a mega-analysis of multiple large samples.

Authors:  Luke J Norman; Gustavo Sudre; Jolie Price; Gauri G Shastri; Philip Shaw
Journal:  Neuropsychopharmacology       Date:  2022-09-13       Impact factor: 8.294

2.  The potential shared brain functional alterations between adults with ADHD and children with ADHD co-occurred with disruptive behaviors.

Authors:  Ningning Liu; Gaoding Jia; Haimei Li; Shiyu Zhang; Yufeng Wang; Haijing Niu; Lu Liu; Qiujin Qian
Journal:  Child Adolesc Psychiatry Ment Health       Date:  2022-06-27       Impact factor: 7.494

3.  Intrinsic Functional Connectivity in the Default Mode Network Differentiates the Combined and Inattentive Attention Deficit Hyperactivity Disorder Types.

Authors:  Jacqueline F Saad; Kristi R Griffiths; Michael R Kohn; Taylor A Braund; Simon Clarke; Leanne M Williams; Mayuresh S Korgaonkar
Journal:  Front Hum Neurosci       Date:  2022-06-09       Impact factor: 3.473

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.