Developmental maturation of inhibitory control circuitry in a high-risk sample: A longitudinal fMRI study
Background: The goal of this work was to characterize the maturation of inhibitory control brain function from childhood to early adulthood using longitudinal data collected in two cohorts. Methods: Functional MRI during a go/no-go task was conducted in 290 participants, with 88 % undergoing repeate...
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doaj-23dcddb21c864cc8b8933c1e97793a032020-11-25T03:11:46ZengElsevierDevelopmental Cognitive Neuroscience1878-92932020-06-0143Developmental maturation of inhibitory control circuitry in a high-risk sample: A longitudinal fMRI studyLora M. Cope0Jillian E. Hardee1Meghan E. Martz2Robert A. Zucker3Thomas E. Nichols4Mary M. Heitzeg5University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USAUniversity of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USAUniversity of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USAUniversity of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USAUniversity of Oxford, Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, United Kingdom; University of Oxford, Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, Nuffield Department of Clinical Neurosciences, Oxford, OX3 9DU, United Kingdom; University of Warwick, Department of Statistics, Coventry, CV4 7AL, United KingdomUniversity of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA; Corresponding author.Background: The goal of this work was to characterize the maturation of inhibitory control brain function from childhood to early adulthood using longitudinal data collected in two cohorts. Methods: Functional MRI during a go/no-go task was conducted in 290 participants, with 88 % undergoing repeated scanning at 1- to 2-year intervals. One group entered the study at age 7–13 years (n = 117); the other entered at age 18–23 years (n = 173). 33.1 % of the sample had two parents with a substance use disorder (SUD), 43.8 % had one parent with an SUD, and 23.1 % had no parents with an SUD. 1162 scans were completed, covering ages 7–28, with longitudinal data from the cohorts overlapping across ages 16–21. A marginal model with sandwich estimator standard errors was used to characterize voxel-wise age-related changes in hemodynamic response associated with successful inhibitory control. Results: There was significant positive linear activation associated with age in the frontal, temporal, parietal, and occipital cortices. No clusters survived thresholding with negative linear, positive or negative quadratic, or positive or negative cubic contrasts. Conclusions: These findings extend previous cross-sectional and small-scale longitudinal studies that have observed positive linear developmental trajectories of brain function during inhibitory control.http://www.sciencedirect.com/science/article/pii/S1878929320300293Go/no-goFunctional magnetic resonance imagingSandwich estimatorNeuroimaging |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lora M. Cope Jillian E. Hardee Meghan E. Martz Robert A. Zucker Thomas E. Nichols Mary M. Heitzeg |
spellingShingle |
Lora M. Cope Jillian E. Hardee Meghan E. Martz Robert A. Zucker Thomas E. Nichols Mary M. Heitzeg Developmental maturation of inhibitory control circuitry in a high-risk sample: A longitudinal fMRI study Developmental Cognitive Neuroscience Go/no-go Functional magnetic resonance imaging Sandwich estimator Neuroimaging |
author_facet |
Lora M. Cope Jillian E. Hardee Meghan E. Martz Robert A. Zucker Thomas E. Nichols Mary M. Heitzeg |
author_sort |
Lora M. Cope |
title |
Developmental maturation of inhibitory control circuitry in a high-risk sample: A longitudinal fMRI study |
title_short |
Developmental maturation of inhibitory control circuitry in a high-risk sample: A longitudinal fMRI study |
title_full |
Developmental maturation of inhibitory control circuitry in a high-risk sample: A longitudinal fMRI study |
title_fullStr |
Developmental maturation of inhibitory control circuitry in a high-risk sample: A longitudinal fMRI study |
title_full_unstemmed |
Developmental maturation of inhibitory control circuitry in a high-risk sample: A longitudinal fMRI study |
title_sort |
developmental maturation of inhibitory control circuitry in a high-risk sample: a longitudinal fmri study |
publisher |
Elsevier |
series |
Developmental Cognitive Neuroscience |
issn |
1878-9293 |
publishDate |
2020-06-01 |
description |
Background: The goal of this work was to characterize the maturation of inhibitory control brain function from childhood to early adulthood using longitudinal data collected in two cohorts. Methods: Functional MRI during a go/no-go task was conducted in 290 participants, with 88 % undergoing repeated scanning at 1- to 2-year intervals. One group entered the study at age 7–13 years (n = 117); the other entered at age 18–23 years (n = 173). 33.1 % of the sample had two parents with a substance use disorder (SUD), 43.8 % had one parent with an SUD, and 23.1 % had no parents with an SUD. 1162 scans were completed, covering ages 7–28, with longitudinal data from the cohorts overlapping across ages 16–21. A marginal model with sandwich estimator standard errors was used to characterize voxel-wise age-related changes in hemodynamic response associated with successful inhibitory control. Results: There was significant positive linear activation associated with age in the frontal, temporal, parietal, and occipital cortices. No clusters survived thresholding with negative linear, positive or negative quadratic, or positive or negative cubic contrasts. Conclusions: These findings extend previous cross-sectional and small-scale longitudinal studies that have observed positive linear developmental trajectories of brain function during inhibitory control. |
topic |
Go/no-go Functional magnetic resonance imaging Sandwich estimator Neuroimaging |
url |
http://www.sciencedirect.com/science/article/pii/S1878929320300293 |
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