| Title |
Functional connectivity of paired default mode network subregions in primary insomnia
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, December 2015
|
| DOI | 10.2147/ndt.s95224 |
| Pubmed ID | |
| Authors |
Xiao Nie, Yi Shao, Si-yu Liu, Hai-jun Li, Ai-lan Wan, Si Nie, De-chang Peng, Xi-jian Dai |
| Abstract |
The aim of this study is to explore the resting-state functional connectivity (FC) differences between the paired default mode network (DMN) subregions in patients with primary insomnia (PIs). Forty-two PIs and forty-two age- and sex-matched good sleepers (GSs) were recruited. All subjects underwent the resting-state functional magnetic resonance imaging scans. The seed-based region-to-region FC method was used to evaluate the abnormal connectivity within the DMN subregions between the PIs and the GSs. Pearson correlation analysis was used to investigate the relationships between the abnormal FC strength within the paired DMN subregions and the clinical features in PIs. Compared with the GSs, the PIs showed higher Pittsburgh Sleep Quality Index score, Hamilton Anxiety Rating Scale score, Hamilton Depression Rating Scale score, Self-Rating Depression Scale score, Self Rating Anxiety Scale score, Self-Rating Scale of Sleep score, and Profile of Mood States score (P<0.001). Compared with the GSs, the PIs showed significant decreased region-to-region FC between the medial prefrontal cortex and the right medial temporal lobe (t=-2.275, P=0.026), and between the left medial temporal lobe and the left inferior parietal cortices (t=-3.32, P=0.001). The abnormal FC strengths between the DMN subregions did not correlate with the clinical features. PIs showed disrupted FC within the DMN subregions. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 73 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 22% |
| Student > Bachelor | 13 | 18% |
| Researcher | 7 | 9% |
| Student > Doctoral Student | 7 | 9% |
| Student > Master | 6 | 8% |
| Other | 12 | 16% |
| Unknown | 13 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 16 | 22% |
| Psychology | 14 | 19% |
| Medicine and Dentistry | 8 | 11% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Nursing and Health Professions | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 19 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 December 2015.
All research outputs
#14,915,476
of 25,374,917 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,360
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Outputs of similar age
#195,486
of 395,418 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#36
of 61 outputs
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