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Altered small-world brain functional networks in children with attention-deficit/hyperactivity disorder

Authors

  • Liang Wang,

    1. School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, People's Republic of China
    2. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, People's Republic of China
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  • Chaozhe Zhu,

    Corresponding author
    1. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, People's Republic of China
    • State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, 19 Xinjiekouwai Street, Beijing, People's Republic of China
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  • Yong He,

    1. McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada H3A 2B4
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  • Yufeng Zang,

    Corresponding author
    1. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, People's Republic of China
    • State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, 19 Xinjiekouwai Street, Beijing, People's Republic of China
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  • QingJiu Cao,

    1. Institute of Mental Health, Peking University, Beijing 100083, People's Republic of China
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  • Han Zhang,

    1. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, People's Republic of China
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  • Qiuhai Zhong,

    1. School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, People's Republic of China
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  • Yufeng Wang

    1. Institute of Mental Health, Peking University, Beijing 100083, People's Republic of China
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Abstract

In this study, we investigated the changes in topological architectures of brain functional networks in attention-deficit/hyperactivity disorder (ADHD). Functional magnetic resonance images (fMRI) were obtained from 19 children with ADHD and 20 healthy controls during resting state. Brain functional networks were constructed by thresholding the correlation matrix between 90 cortical and subcortical regions and further analyzed by applying graph theoretical approaches. Experimental results showed that, although brain networks of both groups exhibited economical small-world topology, altered functional networks were demonstrated in the brain of ADHD when compared with the normal controls. In particular, increased local efficiencies combined with a decreasing tendency in global efficiencies found in ADHD suggested a disorder-related shift of the topology toward regular networks. Additionally, significant alterations in nodal efficiency were also found in ADHD, involving prefrontal, temporal, and occipital cortex regions, which were compatible with previous ADHD studies. The present study provided the first evidence for brain dysfunction in ADHD from the viewpoint of global organization of brain functional networks by using resting-state fMRI. Hum Brain Mapp, 2009. © 2008 Wiley-Liss, Inc.

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