TY - JOUR
T1 - Lifespan associations of resting-state brain functional networks with ADHD symptoms
AU - Wang, Rong
AU - Fan, Yongchen
AU - Wu, Ying
AU - Zang, Yu Feng
AU - Zhou, Changsong
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (Nos. 12132012, 11802229, 11972275, and 11772242), the Hong Kong Scholars Program (No.XJ2020007), the Hong Kong Baptist University (HKBU) Research Committee Interdisciplinary Research Cluster Matching Scheme 2018/19 (IRCMS/18-19/SCI01) and the Natural Science Basic Research Program of Shaanxi (No. 2022JQ-005). This research was conducted using the resources of the High Performance Computing Cluster Center, HKBU, which receives funding from the RGC, University Grant Committee of Hong Kong and HKBU.
Publisher Copyright:
© 2022 The Authors.
PY - 2022/7/15
Y1 - 2022/7/15
N2 - Attention-deficit/hyperactivity disorder (ADHD) is increasingly being diagnosed in both children and adults, but the neural mechanisms that underlie its distinct symptoms and whether children and adults share the same mechanism remain poorly understood. Here, we used a nested-spectral partition approach to study resting-state brain networks of ADHD patients (n = 97) and healthy controls (HCs, n = 97) across the lifespan (7–50 years). Compared to the linear lifespan associations of brain segregation and integration with age in HCs, ADHD patients have a quadratic association in the whole-brain and in most functional systems, whereas the limbic system dominantly affected by ADHD has a linear association. Furthermore, the limbic system better predicts hyperactivity, and the salient attention system better predicts inattention. These predictions are shared in children and adults with ADHD. Our findings reveal a lifespan association of brain networks with ADHD and provide potential shared neural bases of distinct ADHD symptoms in children and adults.
AB - Attention-deficit/hyperactivity disorder (ADHD) is increasingly being diagnosed in both children and adults, but the neural mechanisms that underlie its distinct symptoms and whether children and adults share the same mechanism remain poorly understood. Here, we used a nested-spectral partition approach to study resting-state brain networks of ADHD patients (n = 97) and healthy controls (HCs, n = 97) across the lifespan (7–50 years). Compared to the linear lifespan associations of brain segregation and integration with age in HCs, ADHD patients have a quadratic association in the whole-brain and in most functional systems, whereas the limbic system dominantly affected by ADHD has a linear association. Furthermore, the limbic system better predicts hyperactivity, and the salient attention system better predicts inattention. These predictions are shared in children and adults with ADHD. Our findings reveal a lifespan association of brain networks with ADHD and provide potential shared neural bases of distinct ADHD symptoms in children and adults.
UR - http://www.scopus.com/inward/record.url?scp=85133547885&partnerID=8YFLogxK
U2 - 10.1016/j.isci.2022.104673
DO - 10.1016/j.isci.2022.104673
M3 - Journal article
AN - SCOPUS:85133547885
SN - 2589-0042
VL - 25
JO - iScience
JF - iScience
IS - 7
M1 - 104673
ER -