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Abnormal whole-brain functional connectivity in patients with primary insomnia

Overview of attention for article published in Neuropsychiatric Disease and Treatment, February 2017
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Title
Abnormal whole-brain functional connectivity in patients with primary insomnia
Published in
Neuropsychiatric Disease and Treatment, February 2017
DOI 10.2147/ndt.s128811
Pubmed ID
Authors

Chao Li, Mengshi Dong, Yi Yin, Kelei Hua, Shishun Fu, Guihua Jiang

Abstract

The investigation of the mechanism of insomnia could provide the basis for improved understanding and treatment of insomnia. The aim of this study is to investigate the abnormal functional connectivity throughout the entire brain of insomnia patients, and analyze the global distribution of these abnormalities. Whole brains of 50 patients with insomnia and 40 healthy controls were divided into 116 regions and abnormal connectivities were identified by comparing the Pearson's correlation coefficients of each pair using general linear model analyses with covariates of age, sex, and duration of education. In patients with insomnia, regions that relate to wakefulness, emotion, worry/rumination, saliency/attention, and sensory-motor showed increased positive connectivity with each other; however, regions that often restrain each other, such as regions in salience network with regions in default mode network, showed decreased positive connectivity. Correlation analysis indicated that some increased positive functional connectivity was associated with the Self-Rating Depression Scale, Insomnia Severity Index, and Pittsburgh Sleep Quality Index scores. According to our findings, increased and decreased positive connectivities suggest function strengthening and function disinhibition, respectively, which offers a parsimonious explanation for the hyperarousal hypothesis in the level of the whole-brain functional connectivity in patients with insomnia.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Professor > Associate Professor 3 10%
Student > Bachelor 3 10%
Student > Master 3 10%
Student > Postgraduate 2 7%
Other 5 17%
Unknown 7 24%
Readers by discipline Count As %
Neuroscience 5 17%
Psychology 5 17%
Medicine and Dentistry 3 10%
Agricultural and Biological Sciences 2 7%
Nursing and Health Professions 1 3%
Other 2 7%
Unknown 11 38%