TY - GEN
T1 - Dysfunctional neural activity and connection patterns in attention deficit hyperactivity disorder
T2 - 2013 International Joint Conference on Neural Networks, IJCNN 2013
AU - Wang, Wei
AU - Hu, Bin
AU - Yao, Zhijun
AU - Jackson, Mike
AU - Liu, Ruiyue
AU - Liang, Chuanjiang
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84893522344&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2013.6707011
DO - 10.1109/IJCNN.2013.6707011
M3 - Conference contribution
AN - SCOPUS:84893522344
SN - 9781467361293
T3 - Proceedings of the International Joint Conference on Neural Networks
BT - 2013 International Joint Conference on Neural Networks, IJCNN 2013
Y2 - 4 August 2013 through 9 August 2013
ER -