• DocumentCode
    671669
  • Title

    Dysfunctional neural activity and connection patterns in attention deficit hyperactivity disorder: A resting state fMRI study

  • Author

    Wei Wang ; Bin Hu ; Zhijun Yao ; Jackson, Michael ; Ruiyue Liu ; Chuanjiang Liang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China
  • fYear
    2013
  • fDate
    4-9 Aug. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this study, the amplitude of low frequency (0.01-0.08Hz) fluctuation (ALFF) and functional connections were used to analyze blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) data for 57 children with attention deficit hyperactivity disorder (ADHD) and 59 healthy controls (HC) in a resting state. Compared with HC, the ADHD showed significantly altered neural activity in the prefrontal and temporal cortex. In ADHD, altered functional connections were observed mainly in prefrontal cortex, temporal cortex, default mode network (DMN) and parahippocampal gyrus (PHG). The abnormalities in prefrontal and temporal cortex might provide evidence to support that functional abnormalities are extended from the prefrontal cortex to the temporal cortex in ADHD. Additionally, dysfunction of the DMN and PHG could be related to the pathophysiological mechanisms of ADHD.
  • Keywords
    biomedical MRI; brain; medical image processing; neurophysiology; ADHD; ALFF; BOLD; DMN; PHG; amplitude of low frequency fluctuation; attention deficit hyperactivity disorder:; blood oxygen level-dependent functional magnetic resonance imaging data; connection patterns; default mode network; dysfunctional neural activity; fMRI; functional connections; neural activity; parahippocampal gyrus; pathophysiological mechanisms; prefrontal cortex; resting state fMRI study; temporal cortex; Correlation; Correlation coefficient; Educational institutions; Magnetic resonance imaging; Pathology; Pediatrics; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2013 International Joint Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4673-6128-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2013.6707011
  • Filename
    6707011