Preliminary evidence for a lower brain age in children with attention-deficit/hyperactivity disorder

Affiliation
School of Psychology, University of Auckland ,Auckland ,New Zealand
Kurth, Florian;
Affiliation
Division of Child and Adolescent Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California ,Los Angeles, Los Angeles, CA ,United States
Levitt, Jennifer G.;
GND
123460980
Affiliation
Department of Psychiatry and Psychotherapy, Jena University Hospital
Gaser, Christian;
Affiliation
Department of Neurology, University of California ,Los Angeles, Los Angeles, CA ,United States
Alger, Jeffry;
Affiliation
Division of Child and Adolescent Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California ,Los Angeles, Los Angeles, CA ,United States
Loo, Sandra K.;
Affiliation
Department of Neurology, University of California ,Los Angeles, Los Angeles, CA ,United States
Narr, Katherine L.;
Affiliation
Division of Child and Adolescent Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California ,Los Angeles, Los Angeles, CA ,United States
O’Neill, Joseph;
Affiliation
School of Psychology, University of Auckland ,Auckland ,New Zealand
Luders, Eileen

Attention-deficit hyperactivity disorder (ADHD) is a debilitating disorder with apparent roots in abnormal brain development. Here, we quantified the level of individual brain maturation in children with ADHD using structural neuroimaging and a recently developed machine learning algorithm. More specifically, we compared the BrainAGE index between three groups matched for chronological age (mean ± SD: 11.86 ± 3.25 years): 89 children diagnosed with ADHD, 34 asymptomatic siblings of those children with ADHD, and 21 unrelated healthy control children. Brains of children with ADHD were estimated significantly younger (−0.85 years) than brains of healthy controls (Cohen’s d = −0.33; p = 0.028, one-tailed), while there were no significant differences between unaffected siblings and healthy controls. In addition, more severe ADHD symptoms were significantly associated with younger appearing brains. Altogether, these results are in line with the proposed delay of individual brain maturation in children with ADHD. However, given the relatively small sample size ( N = 144), the findings should be considered preliminary and need to be confirmed in future studies.

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License Holder: Copyright © 2022 Kurth, Levitt, Gaser, Alger, Loo, Narr, O’Neill and Luders.

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