Jiangxi Province Childrens Hospital

Nanchang, China

Jiangxi Province Childrens Hospital

Nanchang, China
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Zhou F.,Nanchang University | Zhou F.,Jiangxi Province Medical Imaging Research Institute | Huang S.,Jiangxi Province Childrens Hospital | Gao L.,Nanchang University | And 5 more authors.
Brain and Behavior | Year: 2016

Introduction: Several neuroimaging studies have suggested that patients with chronic primary insomnia (CPI) exhibit anatomical and functional alterations of the brain, but the temporal regularity in spontaneous neuronal activity remains unknown. Here, brain entropy (BEN), a data-driven method used to measure the signal regularity of a time series, was applied for the first time to investigate changes in the entire brain at the voxel level. Methods: Resting-state functional MRI data were used to investigate insomnia-related BEN alterations and the resting-state functional connectivity (rsFC) pattern in seed regions with altered BEN in 29 patients with identified and untreated CPI and 29 matched healthy controls. Subsequently, within the CPI group, correlation analysis was conducted to evaluate the relationship between the clinical variables and the BEN and rsFC of the abnormal regions. Results: Chronic primary insomnia patients showed significant increase in BEN in the central part of the default-mode network (DMN), the anterior regions of the task-positive network (TPN), the hippocampus (Hipp), and basal ganglia (BG), and decreases in BEN in the right postcentral gyrus (PoCG) and right temporal–occipital junction (TOJ). We also demonstrated that three altered resting-state functional connectivity (rsFC) patterns were associated with abnormal BEN regions in CPI patients. Correlation analysis identified an association between the altered rsFC and clinical variables, such as the Pittsburgh Sleep Quality Index (PSQI), in CPI patients. Conclusions: Together, these findings suggest that abnormal BEN-related intrinsic functional plasticity in CPI patients corresponds to poor sleep quality during chronic insomnia. Alterations in both BEN and its affected connectivity may improve our understanding of treatment-naïve CPI patients and promote the future development of new therapeutic strategies. © 2016 The Authors. Brain and Behavior published by Wiley Periodicals, Inc.


Zhou F.,Nanchang University | Zhou F.,Jiangxi Province Medical Imaging Research Institute | Huang S.,Jiangxi Province Childrens Hospital | Zhuang Y.,The Second Hospital of Nanchang | And 3 more authors.
NeuroImage: Clinical | Year: 2017

New neuroimaging techniques have led to significant advancements in our understanding of cerebral mechanisms of primary insomnia. However, the neuronal low-frequency oscillation remains largely uncharacterized in chronic primary insomnia (CPI). In this study, the amplitude of low-frequency fluctuation (ALFF), a data-driven method based on resting-state functional MRI, was used to examine local intrinsic activity in 27 patients with CPI and 27 age-, sex-, and education-matched healthy controls. We examined neural activity in two frequency bands, slow-4 (between 0.027 and 0.073 Hz) and slow-5 (0.010–0.027 Hz), because blood-oxygen level dependent (BOLD) fluctuations in different low-frequency bands may present different neurophysiological manifestations that pertain to a spatiotemporal organization. The ALFF associated with the primary disease effect was widely distributed in the cerebellum posterior lobe (CPL), dorsal and ventral prefrontal cortex, anterior cingulate cortex, precuneus, somatosensory cortex, and several default-mode sub-regions. Several brain regions (i.e., the right cerebellum, anterior lobe, and left putamen) exhibited an interaction between the frequency band and patient group. In the slow-5 band, increased ALFF of the right postcentral gyrus/inferior parietal lobule (PoCG/IPL) was enhanced in association with the sleep quality (ρ = 0.414, P = 0.044) and anxiety index (ρ = 0.406, P = 0.049) of the CPI patients. These findings suggest that during chronic insomnia, the intrinsic functional plasticity primarily responds to the hyperarousal state, which is the loss of inhibition in sensory-informational processing. Our findings regarding an abnormal sensory input and intrinsic processing mechanism might provide novel insight into the pathophysiology of CPI. Furthermore, the frequency factor should be taken into consideration when exploring ALFF-related clinical manifestations. © 2016 The Authors


Huang S.,Jiangxi Province Childrens Hospital | Zhou F.,Nanchang University | Zhou F.,Jiangxi Province Medical Imaging Research Institute | Jiang J.,Nanchang University | And 8 more authors.
Neuropsychiatric Disease and Treatment | Year: 2017

Several neuroimaging studies have suggested that brain impairment and plasticity occur in patients with chronic primary insomnia (CPI); however, the effects of insomnia on the intrinsic organization of the brain remain largely unknown. In this study, a voxel-based functional connectivity strength (FCS) assessment, a data-driven method based on a theoretical approach, was applied to investigate the effects of insomnia on the intrinsic organization of the whole brain in 27 treatment-naïve CPI patients and 26 well-matched healthy controls (HCs). Compared with HCs, CPI patients exhibited decreased FCS primarily in the right dorsolateral prefrontal cortex, the right medial prefrontal cortex (MPFC), the left basal ganglia/insula, and the right cerebellum anterior lobe (CAL) due to decreased functional connectivity patterns. These results suggest that poor sleep quality could impair FCS within the brain, including the MPFC and the CAL, which are important for cognitive control and modulating motor and limbic functions. Additionally, a receiver operator characteristic analysis revealed that altered FCS has moderate sensitivity (76.9%-88.5%) and specificity (59.3%-70.4%) as a reference indicator to discriminate CPI patients from HCs. Taken together, these findings provide evidence for abnormal intrinsic brain activity in CPI patients and might improve our understanding of the pathophysiological processes that occur in insomnia patients. © 2017 Huang et al.


Yang Y.,Jiangxi Province Childrens Hospital | Huang H.,Jiangxi Province Childrens Hospital | Wang W.,Shanghai JiaoTong University | Yang L.,Jiangxi Province Childrens Hospital | And 2 more authors.
Genetics and Molecular Research | Year: 2013

The association between single nucleotide polymorphisms (SNPs) in the insulin-like growth factor-1 receptor (IGF-1R) gene and susceptibility to idiopathic short stature (ISS) was investigated. Seven hundred and twelve Chinese children clinically diagnosed with ISS and 575 normal individuals were recruited between 2008 and 2011, and their SNPs were genotyped. Preliminary screening revealed that the rs1976667 and rs2684788 loci were significantly associated with genetic susceptibility to ISS (P = 0.03636 and P = 0.01352, respectively). Stratification by sex revealed that in males, different genotypes at the rs1976667 locus were significantly associated with genetic susceptibility to ISS (P = 0.047), showing G dominant inheritance (P = 0.018). The G allele at the rs2684788 locus was significantly associated with genetic susceptibility to ISS (P = 0.016), showing G dominant inheritance (P < 0.001). In females, different genotypes at the rs1976667 locus were significantly associated with genetic susceptibility to ISS (P = 0.011), showing G dominant inheritance (P = 0.005). Different genotypes at the rs2684788 locus, the G allele, and the G recessive mode of inheritance were all significantly associated with genetic susceptibility to ISS (P < 0.005). The genotypes at the rs1976667 locus in the female ISS group were significantly correlated to IGF-1 standard deviation integral value (SDS) (P = 0.006). The rs1976667 and rs2684788 loci of the human IGF-1R gene are likely associated with different genetic susceptibilities to ISS in males and females. Different clinical phenotypes of ISS may be associated with SNPs of IGF-1R. © FUNPEC-RP.


PubMed | Jiangxi Province Childrens Hospital
Type: Journal Article | Journal: Genetics and molecular research : GMR | Year: 2013

The association between single nucleotide polymorphisms (SNPs) in the insulin-like growth factor-1 receptor (IGF-1R) gene and susceptibility to idiopathic short stature (ISS) was investigated. Seven hundred and twelve Chinese children clinically diagnosed with ISS and 575 normal individuals were recruited between 2008 and 2011, and their SNPs were genotyped. Preliminary screening revealed that the rs1976667 and rs2684788 loci were significantly associated with genetic susceptibility to ISS (P = 0.03636 and P = 0.01352, respectively). Stratification by sex revealed that in males, different genotypes at the rs1976667 locus were significantly associated with genetic susceptibility to ISS (P = 0.047), showing G dominant inheritance (P = 0.018). The G allele at the rs2684788 locus was significantly associated with genetic susceptibility to ISS (P = 0.016), showing G dominant inheritance (P < 0.001). In females, different genotypes at the rs1976667 locus were significantly associated with genetic susceptibility to ISS (P = 0.011), showing G dominant inheritance (P = 0.005). Different genotypes at the rs2684788 locus, the G allele, and the G recessive mode of inheritance were all significantly associated with genetic susceptibility to ISS (P < 0.005). The genotypes at the rs1976667 locus in the female ISS group were significantly correlated to IGF-1 standard deviation integral value (SDS) (P = 0.006). The rs1976667 and rs2684788 loci of the human IGF-1R gene are likely associated with different genetic susceptibilities to ISS in males and females. Different clinical phenotypes of ISS may be associated with SNPs of IGF-1R.

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