Disrupted brain network topology in chronic insomnia disorder: A resting-state fMRI study

Li, Zhonglin; Chen, Rui; Guan, Min; Wang, Enfeng; Qian, Tianyi; Zhao, Cuihua; Zou, Zhi; Beck, Thomas; Shi, Dapeng; Wang, Meiyun; Zhang, Hongju; Li, Yongli

doi:10.1016/j.nicl.2018.01.012

Cited by 51 publications

(55 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this review, inadequate sleep was strongly associated with neuroanatomical structures and functions of the developing adolescent brain. Similarly, structural alterations in multiple brain regions have been found in adults with sleep problems, mainly those with primary insomnia [26][27][28][29][30] . These alterations have appeared mainly in the hippocampus, orbitofrontal cortex, and frontal and middle temporary gyri 31 .…”

mentioning

confidence: 97%

See 1 more Smart Citation

Structural Alterations in Large-scale Brain Networks and Their Relationship with Sleep Disturbances in the Adolescent Population

Sung

Park

Kim

et al. 2020

Sci Rep

View full text Add to dashboard Cite

Although sleep disturbances are highly prevalent in adolescents, neuroimaging evidence on the effects of sleep disturbances on their developing brains remains limited. Therefore, we explored gray matter volumes (GMVs) at the whole-brain level and investigated their relationship to sleep disturbances in a sample of Korean adolescents in the general population. We recruited participants from one middle school and high school. All participants and their legal guardians gave informed consent before participating in our study. We used component 5 of the Pittsburgh Sleep Quality Index to measure sleep disturbances and conducted a voxel-based morphometry-DARTEL procedure to measure GMVs. We performed partial correlation analyses to examine whether the GMVs were associated with sleep disturbances. A total of 56 adolescents participated in this study. Our results revealed that GMVs in multiple global regions were negatively correlated with sleep disturbances. Moreover, most of these identified regions belong to large-scale brain networks categorized by functional neuroimaging studies. We found an association between regional GMVs in multiple global regions involved in large-scale networks and the severity of sleep disturbances in the adolescent population. Based on this evidence and previous neuroimaging evidence, we suggest that structural alterations in the networks may be linked to sleep disturbances. Sleep disturbances and their harmful effects have been increasingly reported in many children and adolescents worldwide 1. In a representative sample of 17,102 children and adolescents, approximately 20% reported sleep disturbances and an additional 13% reported difficulties falling asleep 1. Similarly, 38% of 1,000 school going adolescents suffered from sleep disturbances 2. A recent population-based study reported that 26% of 1,180 Brazilian children and adolescents aged 0-19 years experienced sleep disturbances, had inadequate sleep habits, and had sleep durations lower than the recommended duration 3. While sleep disturbances in adolescents may seem normative, sleep problems are known to be associated with a wide spectrum of physical and mental health problems, such as obesity, growth hormone deficiency, substance abuse, depression, suicidality, anxiety, difficulties with impulse control, and the compulsive use of social media and video games 4-12. Moreover, strong associations between sleep problems and various cognitive functions, including memory, learning, and attention, have been reported by an established body of previous research 13-15 .

show abstract

mentioning

confidence: 97%

“…These alterations have appeared mainly in the hippocampus, orbitofrontal cortex, and frontal and middle temporary gyri 31 . Additionally, a growing body of functional neuroimaging studies have demonstrated the relationship between aberrant regional brain activities and sleep problems, with sex differences across the whole brain 29,32 .…”

mentioning

confidence: 99%

Structural Alterations in Large-scale Brain Networks and Their Relationship with Sleep Disturbances in the Adolescent Population

Sung

Park

Kim

et al. 2020

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Subsequently, the directed and weighted functional connectivity matrices were constructed using GraphVar Software ( Kruschwitz et al, 2015 ) ( Figure 3B ). The topologic properties of brain functional network were measured at both global and nodal levels with constructed connectivity matrices ( Li et al, 2018 ). At the global level, brain network topologic balance was determined by functional segregation and functional integration.…”

Section: Methodsmentioning

confidence: 99%

Total Salvianolic Acid Balances Brain Functional Network Topology in Rat Hippocampi Overexpressing miR-30e

Wang

Chen

et al. 2018

Front. Neurosci.

View full text Add to dashboard Cite

We investigated the therapeutic effects and underlying brain functional network topology mechanisms of total salvianolic acid (TSA) treatment for memory dysfunction by using miR-30e overexpression-induced memory deficit in rat hippocampi. Model rats were developed by lentivirus vectors carrying miR-30e into bilateral hippocampus CA1 region through stereo-surgery. Two weeks after surgery, TSA (20 or 10 mg/mL/kg) or saline were administrated for 14 consecutive days. Memory function was assessed by behavioral tests (Y maze and Morris water maze [MWM]); resting-state functional MRI (RS-fMRI); and molecular alterations of BCL-2, UBC9, and Caspase-3 in the hippocampus CA1 region, as detected by immunohistochemistry. Compared to controls, model rats exhibited significantly impaired working and long-term memory in the Y maze and MWM tests (p < 0.01). The brain functional network topology analyzed based on RS-fMRI data demonstrated that miR-30e disturbed the global integration and segregation balance of the brain (p < 0.01), and reduced edge strength between CA1 and the posterior cingulate, temporal lobe, and thalamus (p < 0.05, false discovery rate corrected). At the molecular level, BCL-2 and UBC9 were downregulated, while Caspase-3 was upregulated (p < 0.01). After TSA (20 mg/mL/kg) treatment, the biomarkers for behavioral performance, global integration and segregation, edge strength, and expression levels of BCL-2, UBC9, and Caspase3 returned to normal levels. The correlation analyses of these results showed that global brain functional network topologic parameters can be intermediate biomarkers correlated with both behavioral changes and molecular alterations. This indicated that the effects of TSA were achieved by inhibiting apoptosis of CA1 neurons to improve global functional network topology.

show abstract

“…However, it should be noted that brain alterations in ID may be more complex and involve other connections. For example, resting-state fMRI studies show that there are functional disruptions in ID patients, such as disruptions in global and regional topological organization of the brain functional connectome, including the dorsal attention, default mode, and sensory-motor networks (Li et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Facial Emotion Recognition and Executive Functions in Insomnia Disorder: An Exploratory Study

et al. 2020

View full text Add to dashboard Cite

Background: Clinical and experimental findings suggest that insomnia is associated with changes in emotional processing and impairments in cognitive functioning. In the present study, we investigate the relationship between facial emotion recognition and executive functioning among individuals with insomnia as well as healthy controls. Method: A total of 11 individuals (mean age 31.3 ± 9.4) diagnosed with insomnia disorder and 15 control participants (mean age 24.8 ± 4.6) took part in the study. Participants responded to a facial emotion recognition task which presented them with static and dynamic stimuli, and were evaluated with regard to cognition, sleep, and mood. Results: Compared to controls, we found that participants with insomnia performed worse in the recognition of the facial emotion of fear (p = 0.001;η 2 p = 0.549; β = 0.999) and had lower scores in tests of verbal comprehension and perceptual organization (104.00 vs. 115.00, U = 135.5; p = 0.004; Cohen's, 2013 d = 1.281). We also found a relationship between facial emotion recognition and performance in cognitive tests, such as those related to perceptual organization, cognitive flexibility, and working memory. Conclusion: Results suggest that participants with insomnia may present some impairment in executive functions as well as in the recognition of facial emotions with negative valences (fear and sadness).

show abstract

Disrupted brain network topology in chronic insomnia disorder: A resting-state fMRI study

Cited by 51 publications

References 58 publications

Structural Alterations in Large-scale Brain Networks and Their Relationship with Sleep Disturbances in the Adolescent Population

Structural Alterations in Large-scale Brain Networks and Their Relationship with Sleep Disturbances in the Adolescent Population

Total Salvianolic Acid Balances Brain Functional Network Topology in Rat Hippocampi Overexpressing miR-30e

Facial Emotion Recognition and Executive Functions in Insomnia Disorder: An Exploratory Study

Contact Info

Product

Resources

About