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Zhang H, Jie P, Liu Y, Wu L, Wang O, Zhang Y, Fang J, Wang Q, Zhao J, Liu Y. The abnormalities of brain function in females with primary insomnia: a resting-state functional magnetic resonance imaging study. Front Neurosci 2024; 18:1414154. [PMID: 39145301 PMCID: PMC11322055 DOI: 10.3389/fnins.2024.1414154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 07/18/2024] [Indexed: 08/16/2024] Open
Abstract
Background The neuropathologic mechanism of primary insomnia (PI) of females remains unclear. This study aims to investigate the features of amplitude of low-frequency fluctuations (ALFF) and regional homogeneity (ReHo) in females with PI using functional magnetic resonance imaging (fMRI), and then explore the abnormalities of functional connectivity (FC). Materials and methods A total of 39 female PI patients and 31 female healthy controls (HC) were enrolled in the study. The sleep condition was assessed using the Pittsburgh Sleep Quality Index (PSQI), and Insomnia Severity Index (ISI), and their depressive symptom was evaluated using the Hamilton Depression Scale (HAMD-24). The rs-fMRI was once conducted for every subject. ReHo, ALFF, and ROI-based FC were used to analyze the changes of brain function. Results ALFF values were increased in the Cerebelum_4_5_L, as well as decreased ALFF in the bilateral Frontal_Sup_Medial (SFGmed), Angular_L (ANG.L), Parietal_Inf_R (IPL.R), SupraMarginal_R (SMG.R), and Postcentral_R (PoCG.R). ReHo values were increased in the Temporal_Pole_Mid_R (TPOsup.R), as well as decreased ReHo in the Insula_R (INS.R), Frontal_Inf_Oper_R (ORBinf.R), Putamen_R (PUT.R), Rolandic_Oper_R (ROL.R), bilateral Cingulum_Post (PCG), bilateral Frontal_Sup_Medial (SFGmed), bilateral anterior cingulate and paracingulate gyri (ACG), and the bilateral precuneus (PCUN). Across the entire brain, there was a decline in the FC between Angular_R and Frontal_Sup_Medial_L. Conclusion Alterations in brain regions of female patients with PI involved multiple functional networks, including the default mode network, the salience network, the central executive network, and the limbic network. Reduced coordination between functional networks may be an important mechanism for insomnia and may lead to reduced cognitive function and decision-making ability.
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Affiliation(s)
- Haiyi Zhang
- Department of Magnetic Resonance Imaging, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China
| | - Pingping Jie
- Department of Magnetic Resonance Imaging, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China
| | - Yingchun Liu
- Department of Magnetic Resonance Imaging, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China
| | - Lunxin Wu
- Department of Magnetic Resonance Imaging, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China
| | - Oucheng Wang
- Department of Magnetic Resonance Imaging, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China
| | - Yong Zhang
- Department of Acupuncture, Moxibustion, Tui-Na and Rehabilitation, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China
| | - Jiliang Fang
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Quan Wang
- Department of General Family Medicine, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China
| | - Jie Zhao
- Department of Magnetic Resonance Imaging, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China
| | - Yong Liu
- Department of Magnetic Resonance Imaging, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China
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He C, Fang Z, Wu H, Li X, Cheng L, Wen Y, Lin J. A flexible and dissolving traditional Chinese medicine microneedle patch for sleep-aid intervention. Heliyon 2024; 10:e33025. [PMID: 38984296 PMCID: PMC11231539 DOI: 10.1016/j.heliyon.2024.e33025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 06/12/2024] [Accepted: 06/12/2024] [Indexed: 07/11/2024] Open
Abstract
About a quarter of the world's population suffers from insomnia, and the number of the insomniacs is gradually increasing. However, the current drug therapy and non-drug therapy sleep-aid methods have certain limitations. In general, the sleep-aid effect of drug therapy is better than that of Non-drug therapy, but western medicine may lead to some side effects and drug abuse. Although the side effects of Chinese Herbal Medicine (CHM) are relatively small, making the herbal decoction is complex and time-consuming. Therefore, exploring a novel sleep-aid method is very significant. In this paper, a flexible and dissolving Traditional Chinese Medicine (TCM) microneedle patch is proposed for sleep-aid intervention. The TCM microneedle patch is a micrometer-scale intrusive object, and the herbal extracts are carried by the patch. The materials, design method, and fabrication process of the microneedle patch have been described in detail. Besides, the mechanical characteristics of the microneedle patch, sleep-aid effect evaluation method, and experimental scheme have been presented. Three microneedle tips with radii of 5 μm, 15 μm, and 22 μm are selected for simulation analysis. Abaqus simulation results indicate that the smaller the radius of the microneedle tip, the smaller the piercing force. Considering that the microneedle should easily penetrate the skin without buckling, that is, the piercing force should be larger than the buckling force, thus 15 μm, instead of 5 μm or 22 μm, is more suitable to be adopted as the radius of the microneedle tip. For the microneedle with the radius of 15 μm, the piercing force is 0.033 N, and the difference between the piercing force and buckling force is 0.036 N. Experimental results demonstrate that the fracture force of the microneedle is about 0.29 N, which is far larger than the piercing force and buckling force. The single-lead EEG signals of the frontal lobe are used to evaluate the sleep-aid effect of the TCM microneedle patch. After sleep-aid intervention on the Anmian and Yintang acupoints using the patches, for most subjects, the ratios of the low-frequency brain wave energies to the high-frequency brain wave energies are increased obviously, indicating that the proposed sleep-aid method is effective.
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Affiliation(s)
- Chunhua He
- School of Computer, Guangdong University of Technology, Guangzhou, 510006, Guangdong, PR China
| | - Zewen Fang
- School of Computer, Guangdong University of Technology, Guangzhou, 510006, Guangdong, PR China
| | - Heng Wu
- School of Automation, Guangdong University of Technology, Guangzhou, 510006, Guangdong, PR China
| | - Xiaoping Li
- School of Computer, Guangdong University of Technology, Guangzhou, 510006, Guangdong, PR China
| | - Lianglun Cheng
- School of Computer, Guangdong University of Technology, Guangzhou, 510006, Guangdong, PR China
| | - Yangxing Wen
- First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, PR China
| | - Juze Lin
- Guangdong Provincial People's Hospital, Guangzhou, 510000, Guangdong, PR China
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Schleupner RM, Kühnel J, Melchers KG, Richter SS. Be prepared: Does psychological reattachment buffer the effect of a bad night's sleep on day‐specific work engagement and proactivity? JOURNAL OF OCCUPATIONAL AND ORGANIZATIONAL PSYCHOLOGY 2023. [DOI: 10.1111/joop.12424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Affiliation(s)
- Ricarda M. Schleupner
- Department of Occupational, Economic and Social Psychology University of Vienna Vienna Austria
| | - Jana Kühnel
- Department of Occupational, Economic and Social Psychology University of Vienna Vienna Austria
| | - Klaus G. Melchers
- Department of Work and Organizational Psychology Universität Ulm Ulm Germany
| | - Selina S. Richter
- Department of Psychology Ludwig‐Maximilians‐Universität München Munich Germany
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Gong H, Sun H, Ma Y, Tan Y, Cui M, Luo M, Chen Y. Prefrontal brain function in patients with chronic insomnia disorder: A pilot functional near-infrared spectroscopy study. Front Neurol 2022; 13:985988. [PMID: 36588900 PMCID: PMC9798108 DOI: 10.3389/fneur.2022.985988] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 11/24/2022] [Indexed: 12/23/2022] Open
Abstract
Purpose Insomnia is one of the most common diseases in elderly patients, which seriously affect the quality of life and psychological state of patients. The purpose of this study was to investigate the changes in the functional network pattern of the prefrontal cortex in patients with chronic insomnia disorder (CID) after taking drugs, using non-invasive and low-cost functional neuroimaging with multi-channel near-infrared spectroscopy (fNIRS). Methods All subjects were assessed using the Pittsburgh Sleep Quality Index (PSQI), Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), and fNIRS. The fNIRS assessment consists of two parts: the verbal fluency test (VFT) task state and the resting state, which assessed the differences in prefrontal activation and functional connectivity, respectively. Results A total of 30 patients with chronic insomnia disorder (CID) and 15 healthy peers completed the study. During the VFT task, a significantly lower PFC activation was observed in patients with insomnia compared to the control group (P < 0.05). However, the PFC activation in patients taking medication was higher than in patients who did not receive medication. Functional connectivity analysis showed a weaker mean PFC channel connectivity strength in patients with CID who did not receive drug treatment. Drug treatment resulted in enhanced functional connectivity of the prefrontal lobe, especially the DLPFC and frontal poles. Conclusion A weak prefrontal cortex response was detected in patients with CID when performing the VFT task, which could be enhanced by taking hypnotics. The weakened right prefrontal lobe network may play a role in the development of CID. fNIRS may serve as a potential tool to assess sleep status and guide drug therapy.
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Affiliation(s)
- Haiyan Gong
- Department of Internal Neurology, Tongji Hospital, Tongji University, Shanghai, China
| | - Hui Sun
- Department of Internal Neurology, Tongji Hospital, Tongji University, Shanghai, China
| | - Yeyang Ma
- Department of Internal Neurology, Tongji Hospital, Tongji University, Shanghai, China
| | - Yaling Tan
- Department of Internal Neurology, Tongji Hospital, Tongji University, Shanghai, China
| | - Minglong Cui
- Department of Internal Neurology, Tongji Hospital, Tongji University, Shanghai, China
| | - Ming Luo
- Department of Geriatrics, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yuhui Chen
- Department of Internal Neurology, Tongji Hospital, Tongji University, Shanghai, China,*Correspondence: Yuhui Chen ✉
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5
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Feng Y, Fu S, Li C, Ma X, Wu Y, Chen F, Li G, Liu M, Liu H, Zhu J, Lan Z, Jiang G. Interaction of Gut Microbiota and Brain Function in Patients With Chronic Insomnia: A Regional Homogeneity Study. Front Neurosci 2022; 15:804843. [PMID: 35069107 PMCID: PMC8766814 DOI: 10.3389/fnins.2021.804843] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 12/14/2021] [Indexed: 12/12/2022] Open
Abstract
Recent studies have shown that the human gut microbiota (GM) plays a critical role in brain function and behavior via the complex microbiome–gut–brain axis. However, knowledge about the underlying relationship between the GM and changes in brain function in patients with chronic insomnia (CI) is still very limited. In this prospective study, 31 CI patients and 30 healthy controls were recruited. Resting-state functional magnetic resonance imaging scans were performed and brain functional alterations in CI patients were evaluated using the regional homogeneity (ReHo) method. We collected fecal samples of CI patients and used 16S rDNA amplicon sequencing to assess the relative abundance (RA) and alpha diversity of the GM. We also performed extensive sleep, mood, and cognitive assessments. Then, we tested for potential associations between the GM profile, ReHo alterations, and neuropsychological changes in CI patients. Our results showed associations between the RA of Lactobacilli, ReHo values in the left fusiform gyrus, and depression scores in CI patients. We also found some bacterial genera related to ReHo values of the right triangular inferior frontal gyrus. In addition, the RA of genus Coprobacter was correlated with ReHo values of the left angular gyrus and with specific cognitive performance. These findings revealed complex relationships between GM, brain function, and behavior in patients with CI.
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Affiliation(s)
- Ying Feng
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Shishun Fu
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Cheng Li
- Guangdong Traditional Medical and Sports Injury Rehabilitation Research Institute, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Xiaofen Ma
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Yunfan Wu
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Feng Chen
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Guomin Li
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Mengchen Liu
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Hang Liu
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Jiaying Zhu
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Zhihong Lan
- Department of Medical Imaging, Zhuhai People's Hospital, Zhuhai, China
| | - Guihua Jiang
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China.,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
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6
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Lambert-Beaudet F, Journault WG, Rudziavic Provençal A, Bastien CH. Neurofeedback for insomnia: Current state of research. World J Psychiatry 2021; 11:897-914. [PMID: 34733650 PMCID: PMC8546766 DOI: 10.5498/wjp.v11.i10.897] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 05/18/2021] [Accepted: 08/27/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Chronic insomnia affects about 6%-13% of the Canadian population. Although treatments already exist, they each have their own issues. Neurofeedback is a neuromodulation technique that specifically targets abnormal brain activity and is gaining attention as a possible insomnia treatment.
AIM To review the latest studies pertaining to the use of neurofeedback in the treatment of insomnia.
METHODS In this non-systematic review, only experimental studies assessing the effects of neurofeedback on patients with insomnia were targeted across four bibliographic databases.
RESULTS A total of 12 studies were retained. All neurofeedback studies included in this study showed a clear improvement of subjective sleep. However, data concerning objective improvement are contradictory. Most studies regarding surface and z-score neurofeedback show that neurofeedback targeting the sensorimotor rhythm in the sensorimotor cortex may help improve subjective sleep. A placebo effect seems also to be present in some studies. Several limitations were present in each study.
CONCLUSION While studies concerning neurofeedback as a treatment for insomnia are encouraging, many methodological barriers remain to be resolved to prove its efficacy unequivocally. More studies using robust design parameters, as well as the replication of existing studies, are necessary to support neurofeedback as an effective treatment for insomnia.
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Affiliation(s)
| | | | | | - Célyne H Bastien
- Department of Psychology, School of Psychology Laval University, Québec G1V0A6, Canada
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7
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Li C, Mai Y, Dong M, Yin Y, Hua K, Fu S, Wu Y, Jiang G. Multivariate Pattern Classification of Primary Insomnia Using Three Types of Functional Connectivity Features. Front Neurol 2019; 10:1037. [PMID: 31632335 PMCID: PMC6783513 DOI: 10.3389/fneur.2019.01037] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 09/12/2019] [Indexed: 01/09/2023] Open
Abstract
Objective: To explore whether or not functional connectivity (FC) could be used as a potential biomarker for classification of primary insomnia (PI) at the individual level by using multivariate pattern analysis (MVPA). Methods: Thirty-eight drug-naive patients with PI, and 44 healthy controls (HC) underwent resting-state functional MR imaging. Voxel-wise functional connectivity strength (FCS), large-scale functional connectivity (large-scale FC) and regional homogeneity (ReHo) were calculated for each participant. We used support vector machine (SVM) with the three types of metrics as features separately to classify patients from healthy controls. Then we evaluated its classification performances. Finally, FC metrics with significant high classification performance were compared between the two groups and were correlated with clinical characteristics, i.e., Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS) in the patients' group. Results: The best classifier could reach up to an accuracy of 81.5%, with a sensitivity of 84.9%, specificity of 79.1%, and area under the receiver operating characteristic curve (AUC) of 83.0% (all P < 0.001). Right anterior insular cortex (BA48), left precuneus (BA7), and left middle frontal gyrus (BA8) showed high classification weights. In addition, the right anterior insular cortex (BA48) and left middle frontal gyrus (BA8) were the overlapping regions between MVPA and group comparison. Correlation analysis showed that FCS in left middle frontal gyrus and head of right caudate nucleus were correlated with PSQI and SDS, respectively. Conclusion: The current study suggests abnormal FCS in right anterior insular cortex (BA48) and left middle frontal gyrus (BA8) might serve as a potential neuromarkers for PI.
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Affiliation(s)
- Chao Li
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Yuanqi Mai
- Maoming People's Hospital, Guangdong, China
| | - Mengshi Dong
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Yi Yin
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Kelei Hua
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Shishun Fu
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Yunfan Wu
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Guihua Jiang
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
- Department of Medical Imaging, The Affiliated Guangdong Second Provincial General Hospital of Southern Medical University, Guangzhou, China
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8
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Ballesio A, Aquino MRJV, Kyle SD, Ferlazzo F, Lombardo C. Executive Functions in Insomnia Disorder: A Systematic Review and Exploratory Meta-Analysis. Front Psychol 2019; 10:101. [PMID: 30761049 PMCID: PMC6363670 DOI: 10.3389/fpsyg.2019.00101] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 01/14/2019] [Indexed: 11/13/2022] Open
Abstract
Background: Executive functions (EFs) are involved in the control of basic psychological processes such as attention and memory and also contribute to emotion regulation. Research on the presence of EFs impairments in insomnia yielded inconsistent results. Therefore, we performed a systematic review of the literature on three EFs: inhibitory control, working memory, and cognitive flexibility in adults with insomnia in order to investigate the presence and magnitude of insomnia-related EFs impairments. Methods: PubMed, Scopus, Medline, and PsycINFO were searched. Risk of bias assessment of included studies was performed by two independent researchers. Findings were summarised using both a narrative approach and meta-analysis. Cohen's d was calculated at 95% confidence interval (CI) as effect size of between groups differences. Results: Twenty-eight studies comparing adult individuals with a diagnosis of insomnia and healthy controls on neuropsychological measures of EFs were included. Narrative synthesis revealed substantial variability across study findings. Factors that were primarily hypothesised to account for this variability are: objective sleep impairments and test sensitivity. Exploratory meta-analysis showed impaired performance of small to moderate magnitude in individuals with insomnia as compared to controls in reaction times, but not accuracy rates, of inhibitory control (d = -0.32, 95% CI: -0.52 to -0.13) and cognitive flexibility tasks (d = -0.30, 95% CI: -0.59 to -0.01). Performance in working memory tasks was also significantly impacted (d = -0.19, 95% CI: -0.38 to -0.00). Effects sizes were larger when insomnia was associated with objective sleep impairments, rather than normal sleep. Conclusions: We gathered evidence supporting small to moderate deficits in EFs in individuals with insomnia. Due to the small sample size results should be considered preliminary and interpreted carefully.
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Affiliation(s)
- Andrea Ballesio
- Department of Psychology, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy
| | - Maria Raisa Jessica V Aquino
- Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Simon D Kyle
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Fabio Ferlazzo
- Department of Psychology, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy
| | - Caterina Lombardo
- Department of Psychology, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy
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9
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Zhao W, Gao D, Yue F, Wang Y, Mao D, Chen X, Lei X. Response Inhibition Deficits in Insomnia Disorder: An Event-Related Potential Study With the Stop-Signal Task. Front Neurol 2018; 9:610. [PMID: 30131753 PMCID: PMC6090996 DOI: 10.3389/fneur.2018.00610] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2018] [Accepted: 07/09/2018] [Indexed: 12/20/2022] Open
Abstract
Background: Response inhibition is a hallmark of executive function, which was detected impaired in various psychiatric disorders. However, whether insomnia disorder (ID) impairs response inhibition has caused great controversy. Methods: Using the auditory stop-signal paradigm coupled with event-related potentials (ERPs), we carried out this study to examine whether individuals with ID presented response inhibition deficits and further investigated the neural mechanism correlated to these deficits. Twelve individuals with ID and 13 matched good sleepers (GSs) had participated in this study, and then they performed an auditory stop-signal task (SST) in the laboratory setting with high density EEG recordings. Results: The behavioral results revealed that compared to GSs, patients with ID presented significantly longer stop-signal reaction time (SSRT), suggesting the impairment of motor inhibition among insomniacs. Their reaction time in go trials, however, showed no significant between-group difference. Considering the electrophysiological correlate underlying the longer SSRT, we found reduced P3 amplitude in patients with insomnia in the successful stop trials, which might reflect their poor efficiency of response inhibition. Finally, when we performed exploratory analyses in the failed stop and go trials, patients with ID presented reduced Pe and N1 amplitude in the failed sop trials and go trials respectively. Discussion: Taken together, these findings indicate that individuals with ID would present response inhibition deficits. Moreover, the electrophysiological correlate underlying these deficits mainly revolves around the successful stop P3 component. The present study is the first to investigate the electrophysiological correlate underlying the impaired response inhibition among insomniacs.
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Affiliation(s)
- Wenrui Zhao
- Sleep and Neuroimaging Center, Faculty of Psychology, Southwest University, Chongqing, China.,Key Laboratory of Cognition and Personality of Ministry of Education, Chongqing, China
| | - Dong Gao
- Sleep Psychology Center, Daping Hospital, Army Medical University, Chongqing, China
| | - Faguo Yue
- Sleep Psychology Center, Daping Hospital, Army Medical University, Chongqing, China
| | - Yanting Wang
- Sleep Psychology Center, Daping Hospital, Army Medical University, Chongqing, China
| | - Dandan Mao
- Sleep Psychology Center, Daping Hospital, Army Medical University, Chongqing, China
| | - Xinyuan Chen
- Sleep and Neuroimaging Center, Faculty of Psychology, Southwest University, Chongqing, China.,Key Laboratory of Cognition and Personality of Ministry of Education, Chongqing, China
| | - Xu Lei
- Sleep and Neuroimaging Center, Faculty of Psychology, Southwest University, Chongqing, China.,Key Laboratory of Cognition and Personality of Ministry of Education, Chongqing, China
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10
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Li C, Dong M, Yin Y, Hua K, Fu S, Jiang G. Aberrant Effective Connectivity of the Right Anterior Insula in Primary Insomnia. Front Neurol 2018; 9:317. [PMID: 29867727 PMCID: PMC5951943 DOI: 10.3389/fneur.2018.00317] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2018] [Accepted: 04/23/2018] [Indexed: 01/29/2023] Open
Abstract
Objective Daytime cognitive impairment is an essential symptom of primary insomnia (PI). However, the underlying neural substrate remains largely unknown. Many studies have shown that the right anterior insula (rAI) as a key node of salience network (SN) plays a critical role in switching between the executive control network (ECN) and the default mode network (DMN) for better performance of cognitively demanding tasks. Aberrant effective connectivity (directional functional connectivity) of rAI with ECN or DMN may be one reason for daytime cognitive impairment in PI patients. Up to now, no effective connectivity study has been conducted on patients with PI during resting state. Our aim is to investigate the effective connectivity between the rAI and the other voxels in the whole brain in PI. Materials and methods Fifty drug-naive patients with PI and forty age- and sex-matched healthy controls were scanned using resting-state functional MRI. Seed-based Granger causality analysis was used to examine effective connectivity between the rAI, including ventral and dorsal part, and the whole brain. The effective connectivity was compared between the two groups and was correlated with clinical characteristics. Results Compared with controls, patients showed decreased effective connectivity from the rAI to the bilateral precuneus, the left postcentral gyrus (extending to bilateral precuneus) and the bilateral cerebellum posterior lobe, and decreased effective connectivity from the bilateral orbitofrontal cortex (OFC) to the rAI (single voxel P < 0.001, AlphaSim corrected with P < 0.01). In addition, effective connectivity from the ventral rAI to the left postcentral gyrus and from the left OFC to the ventral rAI were significantly negatively correlated with Insomnia Severity Index scores (r = -0.28/P = 0.046 and r = -0.29/P = 0.038, respectively). Conclusion The present study is the first to reveal aberrant effective connectivity between the SN hub (rAI) and the posterior DMN hub (precuneus) as well as decision-making region (OFC) and sensori-motor region in PI. These findings suggest an aberrant salience processing system of the rAI in PI patients.
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Affiliation(s)
- Chao Li
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Mengshi Dong
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Yi Yin
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Kelei Hua
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Shishun Fu
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Guihua Jiang
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
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11
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Age of Insomnia Onset Correlates with a Reversal of Default Mode Network and Supplementary Motor Cortex Connectivity. Neural Plast 2018; 2018:3678534. [PMID: 29808082 PMCID: PMC5901935 DOI: 10.1155/2018/3678534] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Revised: 02/14/2018] [Accepted: 03/06/2018] [Indexed: 02/03/2023] Open
Abstract
Insomnia might occur as result of increased cognitive and physiological arousal caused by acute or long acting stressors and associated cognitive rumination. This might lead to alterations in brain connectivity patterns as those captured by functional connectivity fMRI analysis, leading to potential insight about primary insomnia (PI) pathophysiology as well as the impact of long-term exposure to sleep deprivation. We investigated changes of voxel-wise connectivity patterns in a sample of 17 drug-naïve PI patients and 17 age-gender matched healthy controls, as well as the relationship between brain connectivity and age of onset, illness duration, and severity. Results showed a significant increase in resting-state functional connectivity of the bilateral visual cortex in PI patients, associated with decreased connectivity between the visual cortex and bilateral temporal pole. Regression with clinical scores originally unveiled a pattern of increased local connectivity as measured by intrinsic connectivity contrast (ICC), specifically resembling the default mode network (DMN). Additionally, age of onset was found to be correlated with the connectivity of supplementary motor area (SMA), and the strength of DMN←→SMA connectivity was significantly correlated with both age of onset (R2 = 41%) and disease duration (R2 = 21%). Chronic sleep deprivation, but most importantly early insomnia onset, seems to have a significant disruptive effect over the physiological negative correlation between DMN and SMA, a well-known fMRI marker of attention performance in humans. This suggests the need for more in-depth investigations on the prevention and treatment of connectivity changes and associated cognitive and psychological deficits in PI patients.
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Liu CH, Liu CZ, Zhu XQ, Fang JL, Lu SL, Tang LR, Wang CY, Liu QQ. Increased Posterior Insula-Sensorimotor Connectivity Is Associated with Cognitive Function in Healthy Participants with Sleep Complaints. Front Hum Neurosci 2018; 12:35. [PMID: 29467636 PMCID: PMC5808346 DOI: 10.3389/fnhum.2018.00035] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Accepted: 01/22/2018] [Indexed: 11/13/2022] Open
Abstract
Insomnia is characterized by sensory hypersensitivity and cognitive impairments. Recent work has identified the insula as a central brain region involved in both bottom-up gating of sensory information and top-down cognitive control. However, the specific relationships between insular subregion connectivity and emotional and cognitive functions remain unclear. In this study, resting-state functional magnetic resonance imaging data were obtained from 25 healthy participants with sleep complaints (HPS) and 25 age-, gender- and educational level-matched healthy participants without insomnia complaints (HP). We performed insular subregion (ventral anterior, dorsal anterior and posterior) functional connectivity (FC) analyses, and cognitive function was measured with several validated test procedures (e.g., the Wisconsin Card Sorting Test [WCST], Continuous Performance Test [CPT] and Trail making Test [TMT]). There were no significant differences between the two groups for WCST, CPT and TMT scores. The HPS group showed enhanced connectivity from the right posterior insula (R-PI) to the left postcentral gyrus (L-postCG) compared to HP group. WCST random errors (RE), sleep disturbance scores and HAMA scores correlated with this connectivity measurement in both HP and HPS groups. Our results provide direct evidence that the posterior insula (PI) synchronizes with sensorimotor areas to detect homeostatic changes and suggest that alteration of the latter is related to executive dysfunction in subjects with insomnia.
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Affiliation(s)
- Chun-Hong Liu
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing, China
- Department of Radiology and Psychiatry, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Cun-Zhi Liu
- The department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing, China
| | - Xue-Qi Zhu
- Department of Psychosomatic Medicine/Administration of Medical Institution Conducting Clinical Trials for Human Used Drug, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Ji-Liang Fang
- Functional Brain Imaging Lab, Department of Radiology, Guang An Men Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Shun-Li Lu
- Department of Radiology and Psychiatry, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Li-Rong Tang
- Department of Radiology and Psychiatry, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Chuan-Yue Wang
- Department of Radiology and Psychiatry, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Qing-Quan Liu
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing, China
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