1. Normative Magnetic Resonance Imaging Data Increase the Sensitivity to Brain Volume Abnormalities in the Classification of Fetal Alcohol Spectrum Disorder.
- Author
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Gimbel BA, Roediger DJ, Ernst AM, Anthony ME, Mueller BA, de Water E, Rockhold MN, and Wozniak JR
- Subjects
- Pregnancy, Child, Adolescent, Female, Humans, Brain diagnostic imaging, Magnetic Resonance Imaging, Fetal Alcohol Spectrum Disorders diagnostic imaging, Prenatal Exposure Delayed Effects, Brain Diseases
- Abstract
Objective: To evaluate the use of a large magnetic resonance imaging (MRI) normative dataset to quantify structural brain anomalies that may improve diagnostic sensitivity for atypical brain volume in youth with fetal alcohol spectrum disorder (FASD)., Study Design: Participants included 48 children with prenatal alcohol exposure (PAE) and 43 controls, ages 8-17 years, from the longitudinal Collaborative Initiative on FASD s. Recently published lifespan brain charts were used to quantify participants' (per)centile for brain volumes (cortical and subcortical gray matter and cortical white matter), providing an index of (dis)similarity to typically developing individuals of the same age and sex., Results: Participants with PAE demonstrated lower mean centile scores compared with controls. Participants with PAE and scores ≤ 10
th centile on at least 1 brain volume metric demonstrated significantly lower performance on measures of intellectual function and aspects of executive functioning compared with participants with PAE and "typical" volumes (>10th centile). Brain volume centiles explained a greater amount of variance in IQ and improved sensitivity to brain volume anomalies in FASD compared with the most commonly used diagnostic criterion of occipitofrontal circumference (OFC) ≤ 10th ., Conclusion: Age- and sex-adjusted brain volumes based on a large normative dataset may be useful predictors of functional outcomes and may identify a greater number of individuals with FASD than the currently used criterion of OFC., Competing Interests: Declaration of Competing Interest The authors declare no conflicts of interest. Funding: National Institute on Alcohol Abuse & Alcoholism: U01AA026102, U24AA014815, U01AA014834, &U24AA014811; the Biotechnology Research Center: P41EB015894, the National Institute of Neurological Disorders & Stroke Institutional Center Core Grants to Support Neuroscience Research: P30 NS076408; and the High Performance Connectome Upgrade for Human 3T MR Scanner: 1S10OD017974. Funding Information: This work was supported by the NIAAA (grant numbers 5U01AA026102, 5U01AA014834, 5U24AA014815, 5U24AA014811), the National Institute of Biomedical Imaging and Bioengineering (NIBIB P41 EB027061), the Biotechnology Research Center (P41 EB015 894), the NINDS Institutional Center Core Grants to Support Neuroscience Research (P30 NS076408), and the High Performance Connectome Upgrade for Human 3T MR Scanner (1S10OD017974-01). All or part of this work was done in conjunction with the Collaborative Initiative on Fetal Alcohol Spectrum Disorders (CIFASD), which is funded by grants from the National Institute on Alcohol Abuse and Alcoholism (NIAAA). Additional information about CIFASD can be found at www.cifasd.org., (Copyright © 2023 Elsevier Inc. All rights reserved.)- Published
- 2024
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