| Title |
Abnormal spontaneous regional brain activity in primary insomnia: a resting-state functional magnetic resonance imaging study
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, June 2016
|
| DOI | 10.2147/ndt.s109633 |
| Pubmed ID | |
| Authors |
Chao Li, Xiaofen Ma, Mengshi Dong, Yi Yin, Kelei Hua, Meng Li, Changhong Li, Wenfeng Zhan, Cheng Li, Guihua Jiang |
| Abstract |
Investigating functional specialization is crucial for a complete understanding of the neural mechanisms of primary insomnia (PI). Resting-state functional magnetic resonance imaging (fMRI) is a useful tool to explore the functional specialization of PI. However, only a few studies have focused on the functional specialization of PI using resting-state fMRI and results of these studies were far from consistent. Thus, the current study aimed to investigate functional specialization of PI using resting-state fMRI with amplitude of low frequency fluctuations (ALFFs) algorithm. In this study, 55 PI patients and 44 healthy controls were included. ALFF values were compared between the two groups using two-sample t-test. The relationship of abnormal ALFF values with clinical characteristics and duration of insomnia was investigated using Pearson's correlation analysis. PI patients showed lower ALFF values in the left orbitofrontal cortex/inferior frontal gyrus, right middle frontal gyrus, left inferior parietal lobule, and bilateral cerebellum posterior lobes, while higher ALFF values in the right middle/inferior temporal that extended to the right occipital lobe. In addition, we found that the duration of PI negatively correlated with ALFF values in the left orbitofrontal cortex/inferior frontal gyrus, and the Pittsburgh Sleep Quality Index score negatively correlated with ALFF values in the left inferior parietal lobule. The present study added information to limited studies on functional specialization and provided evidence for hyperarousal hypothesis in PI. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 21% |
| Student > Master | 9 | 21% |
| Researcher | 6 | 14% |
| Student > Bachelor | 4 | 9% |
| Student > Doctoral Student | 4 | 9% |
| Other | 4 | 9% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 8 | 19% |
| Psychology | 8 | 19% |
| Medicine and Dentistry | 5 | 12% |
| Engineering | 3 | 7% |
| Nursing and Health Professions | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 14 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 June 2016.
All research outputs
#17,438,425
of 25,584,565 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,869
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Outputs of similar age
#226,062
of 354,190 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#64
of 94 outputs
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