An independent component analysis-based study of functional brain networks in children with spastic cerebral palsy complicated with periventricular white matter injury
Objective:To investigate intra-and internetwork functional connectivity changes in children with spastic cerebral palsy(SCP)complicated with periventricular white matter injury(PWMI)using independent component analysis(ICA).Methods:Resting-state fMRI was performed on 28 SCP children with PWMI(the SCP group)and 19 normal children(the control group).The ICA method was applied to extract the network components of the two groups,and SPM12 and NBS software were used to compare the differences in intra-and internetwork functional connectivity between the two groups,and Pearson or Spearman correlation analysis were applied to verify the correlation between functional connectivity differences and clinical variables in the SCP group.Results:Compared with the control group,the functional connectivity of the left middle frontal gyrus,left precuneus and right angular gyrus within the default mode network,the right postcentral gyrus within the ventral attention network,and the bilateral lingual gyrus within the medial visual network were weakened in the patient group,but no significant correlations were found between the above functional connectivity difference and clinical variables.Conclusions:Patients with SCP have abnormal functional brain network patterns,and it is hypothesized that alterations in functional conectivity may serve as an imaging bioindicator for early diagnosis and recognition of SCP.
Periventricular white matter injurySpastic cerebral palsyIndependent component analysisMagnetic resonance imaging
国家科技期刊平台
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