Brain state-dependent dynamic functional connectivity patterns in attention-deficit/hyperactivity disorder

Yunkai Sun; Zhihui Lan; Shao-Wei Xue; Lei Zhao; Yang Xiao; Changxiao Kuai; Qiaoyuan Lin; Kangchen Bao

doi:10.1016/j.jpsychires.2021.05.010

Brain state-dependent dynamic functional connectivity patterns in attention-deficit/hyperactivity disorder

J Psychiatr Res. 2021 Jun:138:569-575. doi: 10.1016/j.jpsychires.2021.05.010. Epub 2021 May 8.

Authors

Yunkai Sun¹, Zhihui Lan², Shao-Wei Xue³, Lei Zhao², Yang Xiao², Changxiao Kuai², Qiaoyuan Lin², Kangchen Bao⁴

Affiliations

¹ Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, 311121, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, 311121, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, 311121, China; College of Education, Hangzhou Normal University, Hangzhou, 311121, China; Department of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, China.
² Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, 311121, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, 311121, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, 311121, China; College of Education, Hangzhou Normal University, Hangzhou, 311121, China.
³ Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, 311121, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, 311121, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, 311121, China; College of Education, Hangzhou Normal University, Hangzhou, 311121, China. Electronic address: xuedrm@126.com.
⁴ College of Education, Hangzhou Normal University, Hangzhou, 311121, China.

PMID: 33991995
DOI: 10.1016/j.jpsychires.2021.05.010

Abstract

Attention-deficit/hyperactivity disorder (ADHD) patients have presented aberrant static brain networks, however identifying ADHD patients based on dynamic information in brain networks is not fully clear. Data were obtained from 32 boys with ADHD and 52 sex- and age-matched typically developing controls; a sliding-window method was used to assess dynamic functional connectivity (dFC), and two reoccurring dFC states (the hot and cool states) were then identified using a k-means clustering method. The results showed that ADHD patients had significant changes in occurrence, transitions times and dFC strength of the cingulo-opercular network (CON) and sensorimotor network (SMN) in the cool state. The severity of ADHD symptoms showed significant correlations with the regional amplitude of dFC fluctuations in the ventral medial prefrontal cortex (vmPFC), anterior medial prefrontal cortex (amPFC) and precuneus. These findings could provide insights on the state-dependent dynamic changes in large-scale brain connectivity and network configurations in ADHD.

Keywords: Attention-deficit/hyperactivity disorder; Dynamic functional connectivity; K-means; State-dependent.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Attention Deficit Disorder with Hyperactivity*
Brain / diagnostic imaging
Brain Mapping
Humans
Magnetic Resonance Imaging
Male
Nerve Net / diagnostic imaging
Neural Pathways / diagnostic imaging