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Hu YX, Shi JY, Xia GY, Liu LF, Li PF, Shan Q, Wang YM. Analysis of functional connectivity changes in attention networks and default mode networks in patients with depression and insomnia. Sleep Breath 2024; 28:1731-1742. [PMID: 38772968 DOI: 10.1007/s11325-024-03064-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 04/22/2024] [Accepted: 05/15/2024] [Indexed: 05/23/2024]
Abstract
PURPOSE Major Depressive Disorder (MDD) and Insomnia Disorder (ID) are prevalent psychiatric conditions often occurring concurrently, leading to substantial impairment in daily functioning. Understanding the neurobiological underpinnings of these disorders and their comorbidity is crucial for developing effective interventions. This study aims to analyze changes in functional connectivity within attention networks and default mode networks in patients with depression and insomnia. METHODS The functional connectivity alterations in individuals with MDD, ID, comorbid MDD and insomnia (iMDD), and healthy controls (HC) were assessed from a cohort of 174 participants. They underwent rs-fMRI scans, demographic assessments, and scale evaluations for depression and sleep quality. Functional connectivity analysis was conducted using region-of-interest (ROI) and whole-brain methods. RESULTS The MDD and iMDD groups exhibited higher Hamilton Depression Scale (HAMD) scores compared to HC and ID groups (P < 0.001). Both ID and MDD groups displayed enhanced connectivity between the left and right orbital frontal cortex compared to HC (P < 0.05), while the iMDD group showed reduced connectivity compared to HC and ID groups (P < 0.05). In the left insula, reduced connectivity with the right medial superior frontal gyrus was observed across patient groups compared to HC (P < 0.05), with the iMDD group showing increased connectivity compared to MDD (P < 0.05). Moreover, alterations in functional connectivity between the left thalamus and left temporal pole were found in iMDD compared to HC and MDD (P < 0.05). Correlation analyses revealed associations between abnormal connectivity and symptom severity in MDD and ID groups. CONCLUSIONS Our findings demonstrate distinct patterns of altered functional connectivity in individuals with MDD, ID, and iMDD compared to healthy controls. These findings contribute to a better understanding of the pathophysiology of depression and insomnia, which could be used as a reference for the diagnosis and treatments of these patients.
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Affiliation(s)
- Yong-Xue Hu
- Guizhou Medical University, Guiyang, 550004, Guizhou, China.
- Department of Psychology, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou, China.
| | - Jing-Yu Shi
- Department of Neurology, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, 550004, Guizhou, China
| | - Guang-Yuan Xia
- Department of Psychology, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou, China
| | - Long-Fei Liu
- Guizhou Medical University, Guiyang, 550004, Guizhou, China
- Department of Psychology, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou, China
| | - Pei-Fan Li
- Department of Psychology, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou, China
| | - Qing Shan
- Department of Psychology, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou, China
| | - Yi-Ming Wang
- Department of Psychology, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou, China.
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Abdelhack M, Zhukovsky P, Milic M, Harita S, Wainberg M, Tripathy SJ, Griffiths JD, Hill SL, Felsky D. Opposing brain signatures of sleep in task-based and resting-state conditions. Nat Commun 2023; 14:7927. [PMID: 38040769 PMCID: PMC10692207 DOI: 10.1038/s41467-023-43737-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 11/17/2023] [Indexed: 12/03/2023] Open
Abstract
Sleep and depression have a complex, bidirectional relationship, with sleep-associated alterations in brain dynamics and structure impacting a range of symptoms and cognitive abilities. Previous work describing these relationships has provided an incomplete picture by investigating only one or two types of sleep measures, depression, or neuroimaging modalities in parallel. We analyze the correlations between brainwide neural signatures of sleep, cognition, and depression in task and resting-state data from over 30,000 individuals from the UK Biobank and Human Connectome Project. Neural signatures of insomnia and depression are negatively correlated with those of sleep duration measured by accelerometer in the task condition but positively correlated in the resting-state condition. Our results show that resting-state neural signatures of insomnia and depression resemble that of rested wakefulness. This is further supported by our finding of hypoconnectivity in task but hyperconnectivity in resting-state data in association with insomnia and depression. These observations dispute conventional assumptions about the neurofunctional manifestations of hyper- and hypo-somnia, and may explain inconsistent findings in the literature.
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Affiliation(s)
- Mohamed Abdelhack
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Peter Zhukovsky
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Boston, MA, USA
| | - Milos Milic
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Shreyas Harita
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Michael Wainberg
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - Shreejoy J Tripathy
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - John D Griffiths
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Sean L Hill
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Vector Institute for Artificial Intelligence, Toronto, ON, Canada
| | - Daniel Felsky
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada.
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
- Department of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
- Rotman Research Institute, Baycrest Hospital, Toronto, ON, Canada.
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Kim H, Zhu X, Zhao Y, Bell SA, Gehrman PR, Cohen D, Devanand DP, Goldberg TE, Lee S. Resting-state functional connectivity changes in older adults with sleep disturbance and the role of amyloid burden. Mol Psychiatry 2023; 28:4399-4406. [PMID: 37596355 PMCID: PMC10842478 DOI: 10.1038/s41380-023-02214-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 07/19/2023] [Accepted: 08/02/2023] [Indexed: 08/20/2023]
Abstract
Sleep and related disorders could lead to changes in various brain networks, but little is known about the role of amyloid β (Aβ) burden-a key Alzheimer's disease (AD) biomarker-in the relationship between sleep disturbance and altered resting state functional connectivity (rsFC) in older adults. This cross-sectional study examined the association between sleep disturbance, Aβ burden, and rsFC using a large-scale dataset from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Sample included 489 individuals (53.6% cognitively normal, 32.5% mild cognitive impairment, and 13.9% AD) who had completed sleep measures (Neuropsychiatric Inventory), PET Aβ data, and resting-state fMRI scans at baseline. Within and between rsFC of the Salience (SN), the Default Mode (DMN) and the Frontal Parietal network (FPN) were compared between participants with sleep disturbance versus without sleep disturbance. The interaction between Aβ positivity and sleep disturbance was evaluated using the linear regressions, controlling for age, diagnosis status, gender, sedatives and hypnotics use, and hypertension. Although no significant main effect of sleep disturbance was found on rsFC, a significant interaction term emerged between sleep disturbance and Aβ burden on rsFC of SN (β = 0.11, P = 0.006). Specifically, sleep disturbance was associated with SN hyperconnectivity, only with the presence of Aβ burden. Sleep disturbance may lead to altered connectivity in the SN when Aβ is accumulated in the brain. Individuals with AD pathology may be at increased risk for sleep-related aberrant rsFC; therefore, identifying and treating sleep problems in these individuals may help prevent further disease progression.
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Affiliation(s)
- Hyun Kim
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.
- Area Brain Aging and Mental Health, New York State Psychiatric Institute, New York, NY, USA.
| | - Xi Zhu
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Division of Anxiety, Mood, Eating, and Related Disorders, New York State Psychiatric Institute, New York, NY, USA
| | - Yiming Zhao
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Sophie A Bell
- Area Brain Aging and Mental Health, New York State Psychiatric Institute, New York, NY, USA
- Department of Psychology, University of Virginia, Charlottesville, VA, USA
| | - Philip R Gehrman
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
- Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Daniel Cohen
- Area Brain Aging and Mental Health, New York State Psychiatric Institute, New York, NY, USA
| | - D P Devanand
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Area Brain Aging and Mental Health, New York State Psychiatric Institute, New York, NY, USA
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Terry E Goldberg
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Area Brain Aging and Mental Health, New York State Psychiatric Institute, New York, NY, USA
- Department of Anesthesiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Seonjoo Lee
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Area Brain Aging and Mental Health, New York State Psychiatric Institute, New York, NY, USA
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
- Division of Mental Health Data Science, New York State Psychiatric Institute, New York, NY, USA
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You S, Lv T, Qin R, Hu Z, Ke Z, Yao W, Zhao H, Bai F. Neuro-Navigated rTMS Improves Sleep and Cognitive Impairment via Regulating Sleep-Related Networks' Spontaneous Activity in AD Spectrum Patients. Clin Interv Aging 2023; 18:1333-1349. [PMID: 37601952 PMCID: PMC10439779 DOI: 10.2147/cia.s416992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 08/03/2023] [Indexed: 08/22/2023] Open
Abstract
Study Objectives By examining spontaneous activity changes of sleep-related networks in patients with the Alzheimer's disease (AD) spectrum with or without insomnia disorder (ID) over time via neuro-navigated repetitive transcranial magnetic stimulation (rTMS), we revealed the effect and mechanism of rTMS targeting the left-angular gyrus in improving the comorbidity symptoms of the AD spectrum with ID. Methods A total of 34 AD spectrum patients were recruited in this study, including 18 patients with ID and the remaining 16 patients without ID. All of them were measured for cognitive function and sleep by using the cognitive and sleep subscales of the neuropsychiatric inventory. The amplitude of low-frequency fluctuation changes in sleep-related networks was revealed before and after neuro-navigated rTMS treatment between these two groups, and the behavioral significance was further explored. Results Affective auditory processing and sensory-motor collaborative sleep-related networks with hypo-spontaneous activity were observed at baseline in the AD spectrum with ID group, while substantial increases in activity were evident at follow-up in these subjects. In addition, longitudinal affective auditory processing, sensory-motor and default mode collaborative sleep-related networks with hyper-spontaneous activity were also revealed at follow-up in the AD spectrum with ID group. In particular, longitudinal changes in sleep-related networks were associated with improvements in sleep quality and episodic memory scores in AD spectrum with ID patients. Conclusion We speculated that left angular gyrus-navigated rTMS therapy may enhance the memory function of AD spectrum patients by regulating the spontaneous activity of sleep-related networks, and it was associated with memory consolidation in the hippocampus-cortical circuit during sleep. Clinical Trial Registration The study was registered at the Chinese Clinical Trial Registry, registration ID: ChiCTR2100050496, China.
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Affiliation(s)
- Shengqi You
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210008, People’s Republic of China
| | - Tingyu Lv
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210008, People’s Republic of China
| | - Ruomeng Qin
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, People’s Republic of China
| | - Zheqi Hu
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, People’s Republic of China
| | - Zhihong Ke
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, People’s Republic of China
| | - Weina Yao
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210008, People’s Republic of China
| | - Hui Zhao
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, People’s Republic of China
| | - Feng Bai
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, People’s Republic of China
- Geriatric Medicine Center, Taikang Xianlin Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, People’s Republic of China
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Holub F, Petri R, Schiel J, Feige B, Rutter MK, Tamm S, Riemann D, Kyle SD, Spiegelhalder K. Associations between insomnia symptoms and functional connectivity in the UK Biobank cohort (n = 29,423). J Sleep Res 2023; 32:e13790. [PMID: 36528860 DOI: 10.1111/jsr.13790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 09/13/2022] [Accepted: 11/03/2022] [Indexed: 12/23/2022]
Abstract
An increasing number of studies harness resting-state fMRI functional connectivity analysis to investigate the neurobiological mechanisms of insomnia. The results to date are inconsistent and the detection of minor and widely distributed alterations in functional connectivity requires large sample sizes. The present study investigated associations between insomnia symptoms and resting-state functional connectivity at the whole-brain level in the largest sample to date. This cross-sectional analysis used resting-state imaging data from the UK Biobank, a large scale, population-based biomedical database. The analysis included 29,423 participants (age: 63.1 ± 7.5 years, 54.3% female), comprising 9210 with frequent insomnia symptoms and 20,213 controls without. Linear models were adjusted for relevant clinical, imaging, and socio-demographic variables. The Akaike information criterion was used for model selection. Multiple comparisons were corrected using the false discovery rate with a significance level of q < 0.05. Frequent insomnia symptoms were associated with increased connectivity within the default mode network and frontoparietal network, increased negative connectivity between the default mode network and the frontoparietal network, and decreased connectivity between the salience network and a node of the default mode network. Furthermore, frequent insomnia symptoms were associated with altered functional connectivity between nodes comprising sensory areas and the cerebellum. These functional alterations of brain networks may underlie dysfunctional affective and cognitive processing in insomnia and contribute to subjectively and objectively impaired sleep. However, it must be noted that the item that was used to assess frequent insomnia symptoms in this study did not assess all the characteristics of clinically diagnosed insomnia.
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Affiliation(s)
- Florian Holub
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Roxana Petri
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Julian Schiel
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Bernd Feige
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Centre for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Martin K Rutter
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, University of Manchester, Manchester, UK
- Diabetes, Endocrinology and Metabolism Centre, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Sandra Tamm
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Dieter Riemann
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Centre for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Simon D Kyle
- Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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Kim H, Zhu X, Zhao Y, Bell S, Gehrman P, Cohen D, Devanand D, Goldberg T, Lee S. Resting-State Functional Connectivity Changes in Older Adults with Sleep Disturbance and the Role of Amyloid Burden. RESEARCH SQUARE 2023:rs.3.rs-2547880. [PMID: 36798352 PMCID: PMC9934741 DOI: 10.21203/rs.3.rs-2547880/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
Sleep and related disorders could lead to changes in various brain networks, but little is known about the role of amyloid β (Aβ) burden-a key Alzheimer's disease (AD) biomarker-in the relationship between sleep disturbance and altered resting state functional connectivity (rsFC) in older adults. This cross-sectional study examined the association between sleep disturbance, Aβ burden, and rsFC using a large-scale dataset from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Sample included 489 individuals (53.6% cognitively normal, 32.5% mild cognitive impairment, and 13.9% AD) who had completed sleep measures (Neuropsychiatric Inventory), PET Aβ data, and resting-state fMRI scans at baseline. Within and between rsFC of the Salience (SN), the Default Mode (DMN) and the Frontal Parietal network (FPN) were compared between participants with sleep disturbance versus without sleep disturbance. The interaction between Aβ positivity and sleep disturbance was evaluated using linear regressions, controlling for age, diagnosis status, gender, sedatives and hypnotics use, and hypertension. Although no significant main effect of sleep disturbance was found on rsFC, a significant interaction term emerged between sleep disturbance and Aβ burden on rsFC of SN (β=0.11, P=0.006). Specifically, sleep disturbance was associated with SN hyperconnectivity, only with the presence of Aβ burden. Sleep disturbance may lead to altered connectivity in the SN when Aβ is accumulated in the brain. Individuals with AD pathology may be at increased risk for sleep-related aberrant rsFC; therefore, identifying and treating sleep problems in these individuals may help prevent further disease progression.
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Affiliation(s)
| | - Xi Zhu
- Columbia University Medical Center
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Ji Y, Huang SQ, Cheng Q, Fu WW, Zhong PP, Chen XL, Shu BL, Wei B, Huang QY, Wu XR. Exploration of static functional connectivity and dynamic functional connectivity alterations in the primary visual cortex among patients with high myopia via seed-based functional connectivity analysis. Front Neurosci 2023; 17:1126262. [PMID: 36816124 PMCID: PMC9932907 DOI: 10.3389/fnins.2023.1126262] [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: 12/17/2022] [Accepted: 01/09/2023] [Indexed: 02/05/2023] Open
Abstract
Aim This study was conducted to explore differences in static functional connectivity (sFC) and dynamic functional connectivity (dFC) alteration patterns in the primary visual area (V1) among high myopia (HM) patients and healthy controls (HCs) via seed-based functional connectivity (FC) analysis. Methods Resting-state functional magnetic resonance imaging (fMRI) scans were performed on 82 HM patients and 59 HCs who were closely matched for age, sex, and weight. Seed-based FC analysis was performed to identify alterations in the sFC and dFC patterns of the V1 in HM patients and HCs. Associations between mean sFC and dFC signal values and clinical symptoms in distinct brain areas among HM patients were identified via correlation analysis. Static and dynamic changes in brain activity in HM patients were investigated by assessments of sFC and dFC via calculation of the total time series mean and sliding-window analysis. Results In the left anterior cingulate gyrus (L-ACG)/left superior parietal gyrus (L-SPG) and left V1, sFC values were significantly greater in HM patients than in HCs. In the L-ACG and right V1, sFC values were also significantly greater in HM patients than in HCs [two-tailed, voxel-level P < 0.01, Gaussian random field (GRF) correction, cluster-level P < 0.05]. In the left calcarine cortex (L-CAL) and left V1, dFC values were significantly lower in HM patients than in HCs. In the right lingual gyrus (R-LING) and right V1, dFC values were also significantly lower in HM patients than in HCs (two-tailed, voxel-level P < 0.01, GRF correction, cluster-level P < 0.05). Conclusion Patients with HM exhibited significantly disturbed FC between the V1 and various brain regions, including L-ACG, L-SPG, L-CAL, and R-LING. This disturbance suggests that patients with HM could exhibit impaired cognitive and emotional processing functions, top-down control of visual attention, and visual information processing functions. HM patients and HCs could be distinguished from each other with high accuracy using sFC and dFC variabilities. These findings may help to identify the neural mechanism of decreased visual performance in HM patients.
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Wu K, Li Y, Zou Y, Ren Y, Wang Y, Hu X, Wang Y, Chen C, Lu M, Xu L, Wu L, Li K. Tai Chi increases functional connectivity and decreases chronic fatigue syndrome: A pilot intervention study with machine learning and fMRI analysis. PLoS One 2022; 17:e0278415. [PMID: 36454926 PMCID: PMC9714925 DOI: 10.1371/journal.pone.0278415] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 10/18/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND The latest guidance on chronic fatigue syndrome (CFS) recommends exercise therapy. Tai Chi, an exercise method in traditional Chinese medicine, is reportedly helpful for CFS. However, the mechanism remains unclear. The present longitudinal study aimed to detect the influence of Tai Chi on functional brain connectivity in CFS. METHODS The study recruited 20 CFS patients and 20 healthy controls to receive eight sessions of Tai Chi exercise over a period of one month. Before the Tai Chi exercise, an abnormal functional brain connectivity for recognizing CFS was generated by a linear support vector model. The prediction ability of the structure was validated with a random forest classification under a permutation test. Then, the functional connections (FCs) of the structure were analyzed in the large-scale brain network after Tai Chi exercise while taking the changes in the Fatigue Scale-14, Pittsburgh Sleep Quality Index (PSQI), and the 36-item short-form health survey (SF-36) as clinical effectiveness evaluation. The registration number is ChiCTR2000032577 in the Chinese Clinical Trial Registry. RESULTS 1) The score of the Fatigue Scale-14 decreased significantly in the CFS patients, and the scores of the PSQI and SF-36 changed significantly both in CFS patients and healthy controls. 2) Sixty FCs were considered significant to discriminate CFS (P = 0.000, best accuracy 90%), with 80.5% ± 9% average accuracy. 3) The FCs that were majorly related to the left frontoparietal network (FPN) and default mode network (DMN) significantly increased (P = 0.0032 and P = 0.001) in CFS patients after Tai Chi exercise. 4) The change of FCs in the left FPN and DMN were positively correlated (r = 0.40, P = 0.012). CONCLUSION These results demonstrated that the 60 FCs we found using machine learning could be neural biomarkers to discriminate between CFS patients and healthy controls. Tai Chi exercise may improve CFS patients' fatigue syndrome, sleep quality, and body health statement by strengthening the functional connectivity of the left FPN and DMN under these FCs. The findings promote our understanding of Tai Chi exercise's value in treating CFS.
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Affiliation(s)
- Kang Wu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Xinhua Hospital, Tongzhou District, Beijing, China
| | - Yuanyuan Li
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yihuai Zou
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yi Ren
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yahui Wang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Xiaojie Hu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yue Wang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Chen Chen
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Mengxin Lu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Lingling Xu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Linlu Wu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Kuangshi Li
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
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9
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Yang Y, Liang W, Wang Y, Peng D, Gong L, Wang N, Huang Z, Yang W. Hippocampal atrophy in neurofunctional subfields in insomnia individuals. Front Neurol 2022; 13:1014244. [DOI: 10.3389/fneur.2022.1014244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveThe aim of this study was to investigate the pattern of volume changes in neurofunctional hippocampal subfields in patients with insomnia and their associations with risk of development of insomnia.MethodsA total of 120 patients with insomnia (78 females, 42 males; mean age ± standard deviation, 43.74 ± 13.02 years) and 120 good sleepers (67 females, 53 males; mean age, 42.69 ± 12.24 years) were recruited. The left hippocampus was segmented into anterior (L1), middle (L2), and posterior (L3) subregions. The right hippocampus was segmented into top anterior (R1), second top anterior (R2), middle (R3), posterior (R4), and last posterior (R5) subregions. Multivariate logistic regression was used to evaluate the associations of hippocampal volume (HV) of each subfield with the risk of the development of insomnia. Mediation analyses were performed to evaluate mediated associations among post-insomnia negative emotion, insomnia severity, and HV atrophy. A visual easy-to-deploy risk nomogram was used for individual prediction of risk of development of insomnia.ResultsHippocampal volume atrophy was identified in the L1, R1, and R2 subregions. L1 and R2 volume atrophy each predisposed to an ~3-fold higher risk of insomnia (L1, odds ratio: 2.90, 95% confidence intervals: [1.24, 6.76], p = 0.014; R2, 2.72 [1.19, 6.20], p = 0.018). Anxiety fully mediates the causal path of insomnia severity leading to R1 volume atrophy with a positive effect. We developed a practical and visual competing risk-nomogram tool for individual prediction of insomnia risk, which stratifies individuals into different levels of insomnia risk with the highest prediction accuracy of 97.4% and an average C-statistic of 0.83.ConclusionHippocampal atrophy in specific neurofunctional subfields was not only found to be associated with insomnia but also a significant risk factor predicting development of insomnia.
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Abnormalities of the Default Mode Network Functional Connectivity in Patients with Insomnia Disorder. CONTRAST MEDIA & MOLECULAR IMAGING 2022; 2022:9197858. [PMID: 36101797 PMCID: PMC9440808 DOI: 10.1155/2022/9197858] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 07/14/2022] [Accepted: 08/01/2022] [Indexed: 11/24/2022]
Abstract
Objective This paper aimed to probe changes in the default mode network (DMN) functional connectivity (DMNFC) of the brain of patients with insomnia disorder (ID) under the resting state. Methods A total of 67 patients with ID and 67 graphically matched healthy controls were selected. Then, their general information was collected, followed by a psychological scale valuation. Resting state functional magnetic resonance imaging (rs-fMRI) scanning was conducted. Subsequently, collected statistics were processed, bilateral precuneus and medial superior frontal gyrus were defined as regions of interest (ROI), and the difference in intensity between these two groups was compared. Results Compared with the healthy control group, the patients in the ID group were observed with abnormalities of DMNFC. Specifically, a significant increase in the functional connectivity (FC) could be observed between the left medial superior frontal gyrus and left central anterior gyrus, the left medial superior frontal gyrus and anterior cingulate gyrus, the right medial superior frontal gyrus and left central anterior gyrus, the left anterior cuneiform and left central anterior/posterior gyrus, the left anterior cuneiform and left superior occipital gyrus, as well as the right anterior cuneiform and left central posterior gyrus. However, the FC between the left anterior cuneiform and the right middle frontal gyrus was weakened, as well as between the left anterior cuneiform and the right angle gyrus and between the right precuneus and the left inferior temporal gyrus. Conclusion ID patients may suffer changes in FC. The decline of FC in DMN may be one of the underlying causes of ID; the enhancement of FC between DMN and the visual-spatial attention network may play a key role in the mechanisms of impaired brain functional networks of ID.
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Olsthoorn IM, Holland AA, Hawkins RC, Cornelius AE, Baig MU, Yang G, Holland DC, Zaky W, Stavinoha PL. Sleep Disturbance and Its Association With Sluggish Cognitive Tempo and Attention in Pediatric Brain Tumor Survivors. Front Neurosci 2022; 16:918800. [PMID: 35812214 PMCID: PMC9259867 DOI: 10.3389/fnins.2022.918800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 06/07/2022] [Indexed: 11/15/2022] Open
Abstract
Background Pediatric brain tumor (PBT) survivors are at risk for developing sleep disturbances. While in other pediatric populations sleep disturbance has been associated with worse cognitive functioning, it is unclear to what extent this relationship generalizes to PBT survivors. The aim of the current study was to assess the relationship between sleep disturbance and aspects of cognition, including sluggish cognitive tempo (SCT) as well as attention and working memory. Materials and Methods Eighty-three PBT survivors 6–18 years of age who were at least 3 months post-treatment were included in the present cross-sectional study. Level of sleep disturbance was measured as a composite score reflecting various sleep problems as rated by caregivers. Cognitive measures included caregiver-ratings of sluggish cognitive tempo and attention problems, as well as performance-based cognitive measures assessing attention and executive functioning. Hierarchical regression analysis was used to assess associations between sleep and cognition. Results Of all caregivers, 32.5% reported one or more sleep disturbances as “very/often true” and over 68% of caregivers rated at least one sleep-related item as “somewhat true.” Of all cognitive variables, scores were most frequently impaired for SCT (30%). A higher level of sleep disturbance was associated with worse SCT and parent-rated attention problems. Associations between sleep and performance-based cognitive measures assessing attention and working memory were not statistically significant. Conclusion Findings of the current study highlight the importance of further investigation into the relationship between sleep and cognition in PBT survivors, which may assist efforts to maximize cognitive outcome and health-related quality of life in PBT survivors. The current study additionally suggests further investigation of SCT in this population is warranted, as it may be more sensitive to detecting possible associations with sleep disturbance relative to discrete measures that assess cognitive performance under ideal circumstances.
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Affiliation(s)
- Ineke M. Olsthoorn
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston (UT Health), Houston, TX, United States
| | - Alice Ann Holland
- Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX, United States
- Department of Psychiatry, Children’s Medical Center of Dallas, Dallas, TX, United States
| | - Raymond C. Hawkins
- School of Psychology, Fielding Graduate University, Santa Barbara, CA, United States
| | - Allen E. Cornelius
- School of Psychology, Fielding Graduate University, Santa Barbara, CA, United States
| | - Muhammad Usman Baig
- Department of Pediatrics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Grace Yang
- Department of Pediatrics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Daniel C. Holland
- School of Psychology, Fielding Graduate University, Santa Barbara, CA, United States
| | - Wafik Zaky
- Department of Pediatrics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Peter L. Stavinoha
- Department of Pediatrics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- *Correspondence: Peter L. Stavinoha,
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Chronic Musculoskeletal Pain Moderates the Association between Sleep Quality and Dorsostriatal-Sensorimotor Resting State Functional Connectivity in Community-Dwelling Older Adults. Pain Res Manag 2022; 2022:4347759. [PMID: 35432664 PMCID: PMC9010216 DOI: 10.1155/2022/4347759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 03/16/2022] [Accepted: 03/22/2022] [Indexed: 02/01/2023]
Abstract
Aging is associated with poor sleep quality and greater chronic pain prevalence, with age-related changes in brain function as potential underlying mechanisms. Objective. The following cross-sectional study aimed to determine whether self-reported chronic musculoskeletal pain in community-dwelling older adults moderates the association between sleep quality and resting state functional brain connectivity (rsFC). Methods. Community-dwelling older individuals (mean age = 73.29 years) part of the NEPAL study who completed the Pittsburg Sleep Quality Index (PSQI) and a rsFC scan were included (n = 48) in the present investigation. To that end, we tested the effect of chronic pain-by-PSQI interaction on rsFC among atlas-based brain regions-of-interest, controlling for age and sex. Results and Discussion. A significant network connecting the bilateral putamen and left caudate with bilateral precentral gyrus, postcentral gyrus, and juxtapositional lobule cortex, survived global multiple comparisons (FDR; q < 0.05) and threshold-free network-based-statistics. Greater PSQI scores were significantly associated with greater dorsostriatal-sensorimotor rsFC in the no-pain group, suggesting that a state of somatomotor hyperarousal may be associated with poorer sleep quality in this group. However, in the pain group, greater PSQI scores were associated with less dorsostriatal-sensorimotor rsFC, possibly due to a shift of striatal functions toward regulation sensorimotor aspects of the pain experience, and/or aberrant cortico-striatal loops in the presence of chronic pain. This preliminary investigation advances knowledge about the neurobiology underlying the associations between chronic pain and sleep in community-dwelling older adults that may contribute to the development of effective therapies to decrease disability in geriatric populations.
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Worts PR, Mason JR, Burkhart SO, Sanchez-Gonzalez MA, Kim JS. The acute, systemic effects of aerobic exercise in recently concussed adolescent student-athletes: preliminary findings. Eur J Appl Physiol 2022; 122:1441-1457. [PMID: 35303160 DOI: 10.1007/s00421-022-04932-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 03/08/2022] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Examine the acute effects (pre-, during, post-intervention) of two different intensities of aerobic exercise or rest on autonomic, oculomotor, and vestibular function and symptom burden in patients with a recent sport-related concussion (SRC) and compare their responses to sex-matched, age-stratified, non-concussed (HEALTHY) student-athletes. METHODS Student-athletes between the ages of 13 and 18 that presented to the sports medicine clinic within Day 3-7 post-SRC and from local schools were recruited for a randomized controlled trial (RCT). The participants were administered the Vestibular/Ocular Motor Screening (VOMS), King-Devick (K-D), and Post-Concussion Symptom Scale (PCSS) before and after the intervention. Heart rate variability (HRV) and mean arterial pressure (MAP) were collected before, during, and after the intervention. The intervention was either a single, 20-min session of treadmill walking at 40% (40HR) or 60% of age-predicted max heart rate (60HR), or seated, rest (NOEX). RESULTS 30 participants completed the intervention with the SRC group treated 4.5 ± 1.3 days post-injury. Pre-exercise HRV and MAP were significantly different (p's < 0.001) during treatment but returned to pre-exercise values within 5 min of recovery in both the SRC and HEALTHY groups. Both the SRC and HEALTHY groups exhibited similar reductions pre- to post-intervention for symptom severity and count (p's < 0.05), three VOMS items (p's < 0.05) but not K-D time. CONCLUSIONS To date, this is the first adolescent RCT to report the acute, systemic effects of aerobic exercise on recently concussed adolescent athletes. The interventions appeared safe in SRC participants, were well-tolerated, and provided brief therapeutic benefit. TRIAL REGISTRATION Clinicaltrials.gov Identifier NCT03575455.
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Affiliation(s)
- P R Worts
- Tallahassee Orthopedic Clinic, Tallahassee, FL, USA. .,Department of Nutrition and Integrative Physiology, Florida State University, Tallahassee, FL, USA. .,Institute of Sports Sciences and Medicine, Florida State University, Tallahassee, FL, USA.
| | - J R Mason
- Department of Occupational Therapy, University of Florida, Gainesville, FL, USA
| | - S O Burkhart
- Children's Health Andrews Institute, Plano, TX, USA.,Department of Psychiatry, University of Texas Southwestern, Dallas, TX, USA
| | | | - J-S Kim
- Department of Nutrition and Integrative Physiology, Florida State University, Tallahassee, FL, USA.,Institute of Sports Sciences and Medicine, Florida State University, Tallahassee, FL, USA
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14
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Li X, Li Z, Zou Z, Wu X, Gao H, Wang C, Zhou J, Qi F, Zhang M, He J, Qi X, Yan F, Dou S, Zhang H, Tong L, Li Y. Real-Time fMRI Neurofeedback Training Changes Brain Degree Centrality and Improves Sleep in Chronic Insomnia Disorder: A Resting-State fMRI Study. Front Mol Neurosci 2022; 15:825286. [PMID: 35283729 PMCID: PMC8904428 DOI: 10.3389/fnmol.2022.825286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 01/31/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundChronic insomnia disorder (CID) is considered a major public health problem worldwide. Therefore, innovative and effective technical methods for studying the pathogenesis and clinical comprehensive treatment of CID are urgently needed.MethodsReal-time fMRI neurofeedback (rtfMRI-NF), a new intervention, was used to train 28 patients with CID to regulate their amygdala activity for three sessions in 6 weeks. Resting-state fMRI data were collected before and after training. Then, voxel-based degree centrality (DC) method was used to explore the effect of rtfMRI-NF training. For regions with altered DC, we determined the specific connections to other regions that most strongly contributed to altered functional networks based on DC. Furthermore, the relationships between the DC value of the altered regions and changes in clinical variables were determined.ResultsPatients with CID showed increased DC in the right postcentral gyrus, Rolandic operculum, insula, and superior parietal gyrus and decreased DC in the right supramarginal gyrus, inferior parietal gyrus, angular gyrus, middle occipital gyrus, and middle temporal gyrus. Seed-based functional connectivity analyses based on the altered DC regions showed more details about the altered functional networks. Clinical scores in Pittsburgh sleep quality index, insomnia severity index (ISI), Beck depression inventory, and Hamilton anxiety scale decreased. Furthermore, a remarkable positive correlation was found between the changed ISI score and DC values of the right insula.ConclusionsThis study confirmed that amygdala-based rtfMRI-NF training altered the intrinsic functional hubs, which reshaped the abnormal functional connections caused by insomnia and improved the sleep of patients with CID. These findings contribute to our understanding of the neurobiological mechanism of rtfMRI-NF in insomnia treatment. However, additional double-blinded controlled clinical trials with larger sample sizes need to be conducted to confirm the effect of rtfMRI-NF from this initial study.
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Affiliation(s)
- Xiaodong Li
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhonglin Li
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhi Zou
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaolin Wu
- Department of Nuclear Medicine, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui Gao
- Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China
| | - Caiyun Wang
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Jing Zhou
- Health Management Center, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Fei Qi
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Miao Zhang
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Junya He
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Xin Qi
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Fengshan Yan
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Shewei Dou
- Department of Radiology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Hongju Zhang
- Department of Neurology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Li Tong
- Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China
- *Correspondence: Li Tong,
| | - Yongli Li
- Health Management Center, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
- Yongli Li,
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15
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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: 7] [Impact Index Per Article: 3.5] [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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16
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Smith JL, Allen JW, Haack CI, Wehrmeyer KL, Alden KG, Lund MB, Mascaro JS. Impact of App-Delivered Mindfulness Meditation on Functional Connectivity, Mental Health, and Sleep Disturbances Among Physician Assistant Students: Randomized, Wait-list Controlled Pilot Study. JMIR Form Res 2021; 5:e24208. [PMID: 34665153 PMCID: PMC8564666 DOI: 10.2196/24208] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 04/23/2021] [Accepted: 07/23/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Health care provider and trainee burnout results in substantial national and institutional costs and profound social effects. Identifying effective solutions and interventions to cultivate resilience among health care trainees is critical. Although less is known about the mental health needs of physician assistants (PAs) or PA students, accumulating research indicates that they experience similarly alarming rates of burnout, depression, and emotional exhaustion. Mobile app-delivered mindfulness meditation may be an effective part of salubrious programming to bolster long-term resilience and health among PA students. OBJECTIVE This study aims to examine the impact of app-delivered mindfulness meditation on self-reported mental health symptoms among PA students. A secondary aim is to investigate changes in brain connectivity to identify neurobiological changes related to changes in mental health symptoms. METHODS We recruited PA students enrolled in their third semester of PA school and used a longitudinal, randomized, wait-list-controlled design. Participants randomized to the mindfulness group were provided 1-year subscriptions to the 10% Happier app, a consumer-based meditation app, and asked to practice every day for 8 weeks. Before randomization and again after completion of the 8-week program, all participants completed resting-state functional magnetic resonance imaging as well as self-report assessments of burnout, depression, anxiety, and sleep impairment. App use was acquired as a measure of mindfulness practice time. RESULTS PA students randomized to the mindfulness group reported improvements in sleep impairment compared with those randomized to the wait-list control group (ηp2=0.42; P=.01). Sleep impairment decreased significantly in the mindfulness group (19% reduction; P=.006) but not in the control group (1% reduction; P=.71). There were no other significant changes in mental health for those randomized to app-delivered mindfulness. Across all students, changes in sleep impairment were associated with increased resting-state functional connectivity between the medial prefrontal cortex (a component of the default mode network) and the superior temporal gyrus, as well as between areas important for working memory. Changes in connectivity predicted categorical conversion from impaired to nonimpaired sleep in the mindfulness group. CONCLUSIONS This pilot study is the first to examine app-based mindfulness for PA students' mental health and investigate the impact of mindfulness on PA students' brain function. These findings suggest that app-delivered mindfulness may be an effective tool to improve sleep dysfunction and that it may be an important part of the programming necessary to reduce the epidemic of suffering among health profession trainees.
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Affiliation(s)
- Jeremy L Smith
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States
| | - Jason W Allen
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States
- Department of Neurology, Emory University, Atlanta, GA, United States
| | - Carla I Haack
- Department of Surgery, Emory University, Atlanta, GA, United States
| | - Kathryn L Wehrmeyer
- Department of Family and Preventative Medicine, Emory University, Atlanta, GA, United States
| | - Kayley G Alden
- Department of Family and Preventative Medicine, Emory University, Atlanta, GA, United States
| | - Maha B Lund
- Physician Assistant Program, Department of Family and Preventative Medicine, Emory University, Atlanta, GA, United States
| | - Jennifer S Mascaro
- Department of Family and Preventative Medicine, Emory University, Atlanta, GA, United States
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Shared Patterns of Brain Functional Connectivity for the Comorbidity between Migraine and Insomnia. Biomedicines 2021; 9:biomedicines9101420. [PMID: 34680538 PMCID: PMC8533078 DOI: 10.3390/biomedicines9101420] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 10/05/2021] [Accepted: 10/05/2021] [Indexed: 01/03/2023] Open
Abstract
Migraine is commonly comorbid with insomnia; both disorders are linked to functional disturbance of the default mode network (DMN). Evidence suggests that DMN could be segregated into multiple subnetworks with specific roles that underline different cognitive processes. However, the relative contributions of DMN subnetworks in the comorbidity of migraine and insomnia remain largely unknown. This study sought to identify altered functional connectivity (FC) profiles of DMN subnetworks in the comorbidity of migraine and insomnia. Direct group comparisons with healthy controls, followed by conjunction analyses, were used to identify shared FC alterations of DMN subnetworks. The shared FC changes of the DMN subnetworks in the migraine and insomnia groups were identified in the dorsomedial prefrontal and posteromedial cortex subnetworks. These shared FC changes were primarily associated with motor and somatosensory systems, and consistently found in patients with comorbid migraine and insomnia. Additionally, the magnitude of FC between the posteromedial cortex and postcentral gyrus correlated with insomnia duration in patients with comorbid migraine and insomnia. Our findings point to specific FC alterations of the DMN subnetwork in migraine and insomnia. The shared patterns of FC disturbance may be associated with the underlying mechanisms of the comorbidity of the two disorders.
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18
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Decreased modulation of segregated SEEKING and selective attention systems in chronic insomnia. Brain Imaging Behav 2021; 15:430-443. [PMID: 32367486 DOI: 10.1007/s11682-020-00271-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Sleep-related attentional bias and instinctual craving-sleep status may be associated with value-driven selective attention network and SEEKING system. We hypothesized that the two networks might be important components and underlie etiology of inability to initiate or/and maintain sleep in patients with chronic insomnia (PIs). Our aim is to investigate whether frequency-frequency couplings(temporal and spatial coupling, and differences of a set of imaging parameters) could elevate the sensibility to characterize the two insomnia-related networks in studying their relationships with sleep parameters and post-insomnia emotions. Forty-eight PIs and 48 status-matched good sleepers were requested to complete sleep and emotion-related questionnaires. Receiver operating characteristic curve was used to calculate the discriminatory power of a set of parameters. Granger causality and mediating causality analysis were used to address the causal relationships between the two networks and sleep/emotion-related parameters. Frequency-frequency couplings could characterize the two networks with high discriminatory power (AUC, 0.951; sensitivity, 87.5%; specificity, 95.8%), which suggested that the frequency-frequency couplings could be served as a useful biomarker to address the insomnia-related brain networks. Functional deficits of the SEEKING system played decreased mediator acting in post-insomnia negative emotions (decreased frequency-frequency coupling). Functional hyperarousal of the value-driven attention network played decreased mediator acting in sleep regulation (increased frequency-frequency coupling). Granger causality analysis showed decreased causal effect connectivity between and within the two networks. The between-network causal effect connectivity segregation played decreased mediator acting in sleep regulation (decreased connectivity). These findings suggest that the functional deficits and segregation of the two systems may underlie etiology of PIs.
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19
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Borserio BJ, Sharpley CF, Bitsika V, Sarmukadam K, Fourie PJ, Agnew LL. Default mode network activity in depression subtypes. Rev Neurosci 2021; 32:597-613. [PMID: 33583166 DOI: 10.1515/revneuro-2020-0132] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 01/12/2021] [Indexed: 01/07/2023]
Abstract
Depression continues to carry a major disease burden worldwide, with limitations on the success of traditional pharmacological or psychological treatments. Recent approaches have therefore focused upon the neurobiological underpinnings of depression, and on the "individualization" of depression symptom profiles. One such model of depression has divided the standard diagnostic criteria into four "depression subtypes", with neurological and behavioral pathways. At the same time, attention has been focused upon the region of the brain known as the "default mode network" (DMN) and its role in attention and problem-solving. However, to date, no review has been published of the links between the DMN and the four subtypes of depression. By searching the literature studies from the last 20 years, 62 relevant papers were identified, and their findings are described for the association they demonstrate between aspects of the DMN and the four depression subtypes. It is apparent from this review that there are potential positive clinical and therapeutic outcomes from focusing upon DMN activation and connectivity, via psychological therapies, transcranial magnetic stimulation, and some emerging pharmacological models.
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Affiliation(s)
- Bernard J Borserio
- Brain-Behaviour Research Group, University of New England, Armidale, NSW, Australia
| | - Christopher F Sharpley
- Brain-Behaviour Research Group, University of New England, Armidale, NSW, Australia.,School of Science and Technology, University of New England, Queen Elizabeth Drive, Armidale, NSW2351, Australia
| | - Vicki Bitsika
- Brain-Behaviour Research Group, University of New England, Armidale, NSW, Australia
| | - Kimaya Sarmukadam
- Brain-Behaviour Research Group, University of New England, Armidale, NSW, Australia
| | - Phillip J Fourie
- Brain-Behaviour Research Group, University of New England, Armidale, NSW, Australia
| | - Linda L Agnew
- Brain-Behaviour Research Group, University of New England, Armidale, NSW, Australia
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Zeng B, Zhou J, Li Z, Zhang H, Li Z, Yu P. Altered Percent Amplitude of Fluctuation in Healthy Subjects After 36 h Sleep Deprivation. Front Neurol 2021; 11:565025. [PMID: 33519662 PMCID: PMC7843545 DOI: 10.3389/fneur.2020.565025] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Accepted: 08/26/2020] [Indexed: 12/16/2022] Open
Abstract
Objective: To investigate regional brain activity alteration in healthy subjects in a sleep deprivation (SD) status relative to a rested wakefulness status using a percent amplitude of fluctuation (PerAF) method. Methods: A total of 20 healthy participants (12 males, 8 females; age, 22.25 ± 1.12 years) were recruited. All participants underwent attention tests and resting-state functional MRI scans during rested wakefulness before SD and after 36 h SD, respectively. The PerAF method was applied to identify SD-related regional brain activity alteration. A ROC curve was conducted to evaluate the ability of the PerAF method in distinguishing different sleep statuses. The relationships between SD-induced brain alterations and attention deficits were determined by Pearson correlation analysis. Results: SD resulted in a 2.23% decrease in accuracy rate and an 8.82% increase in reaction time. SD was associated with increased PerAF differences in the bilateral visual cortex and bilateral sensorimotor cortex, and was associated with decreased PerAF differences in bilateral dorsolateral prefrontal cortex and bilateral cerebellum posterior lobe. These SD-induced brain alterations exhibited a high discriminatory power of extremely high AUC values (0.993-1) in distinguishing the two statuses. The accuracy rate positively correlated with the bilateral cerebellum posterior lobe, and bilateral dorsolateral prefrontal cortex, and negatively correlated with the bilateral sensorimotor cortex. Conclusions: Acute SD could lead to an ~8% attention deficit, which was associated with regional brain activity deficits. The PerAF method might work as a potential sensitivity biomarker for identifying different sleep statuses.
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Affiliation(s)
- Bingliang Zeng
- Department of Radiology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Jian Zhou
- Department of Radiology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Zicong Li
- Department of Radiology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Hua Zhang
- Department of Imaging, The Third Affiliated Hospital of Nanchang University, Nanchang, China
- Department of Imaging, The First Hospital of Nanchang, Nanchang, China
| | - Zongliang Li
- Department of Radiology, Nanfeng County People's Hospital, Fuzhou, China
| | - Peng Yu
- Radiology Department, Jinxian County People's Hospital, Nanchang, China
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21
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Olaithe M, Ree M, McArdle N, Donaldson S, Pushpanathan M, Eastwood PR, Bucks RS. Cognitive Dysfunction in Insomnia Phenotypes: Further Evidence for Different Disorders. Front Psychiatry 2021; 12:688672. [PMID: 34349682 PMCID: PMC8326515 DOI: 10.3389/fpsyt.2021.688672] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 06/22/2021] [Indexed: 11/13/2022] Open
Abstract
Study Objectives: To determine cognitive profiles in individuals with short sleep duration insomnia (SSDI) and normal sleep duration insomnia (NSDI; also, paradoxical insomnia), compared to healthy sleepers. Method: Polysomnographic (PSG) and neuropsychological data were analysed from 902 community-based Raine Study participants aged 22 ± 0.6 years of whom 124 met criteria for insomnia (53 with NSDI and 71 with or SSDI) and 246 were classified as healthy with normal sleep (i.e., without insomnia or other sleep disorders). Measurements of self- report (attention and memory) and laboratory-assessed (attention, episodic memory, working memory, learning, and psychomotor function) cognition and mood, and PSG-based sleep stages (% total sleep time; %TST) were compared between these 3 groups. Results: In comparison to the healthy sleeper group, both insomnia groups had poorer self-reported attention, memory, mood, and sleep, and poorer laboratory-assessed attention (inconsistency). The NSDI group had less consistent working memory reaction time than healthy-sleepers or those with SSDI. The SSDI group had more inconsistency in executive function (shifting), and showed greater %TST in stage N1 and N3, and less REM sleep than either healthy-sleepers or those with NSDI. Conclusions: Individuals with NSDI demonstrated greater working memory inconsistency, despite no laboratory assessed sleep problems, implicating early signs of pathophysiology other than disturbed sleep. Those with SSDI demonstrated different sleep architecture, poorer attention (inconsistency), and greater executive function (inconsistency) compared to healthy-sleepers and those with NSDI, implicating sleep disturbance in the disease process of this phenotype.
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Affiliation(s)
- Michelle Olaithe
- School of Psychological Science, University of Western Australia, Perth, WA, Australia
| | - Melissa Ree
- School of Psychological Science, University of Western Australia, Perth, WA, Australia.,Centre for Sleep Science, School of Human Sciences, University of Western Australia, Perth, WA, Australia
| | - Nigel McArdle
- Centre for Sleep Science, School of Human Sciences, University of Western Australia, Perth, WA, Australia.,Department of Pulmonary Physiology and Sleep Medicine, West Australian Sleep Disorders Research Institute, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - Sara Donaldson
- School of Psychological Science, University of Western Australia, Perth, WA, Australia
| | - Maria Pushpanathan
- School of Psychological Science, University of Western Australia, Perth, WA, Australia
| | - Peter R Eastwood
- Centre for Sleep Science, School of Human Sciences, University of Western Australia, Perth, WA, Australia.,Department of Pulmonary Physiology and Sleep Medicine, West Australian Sleep Disorders Research Institute, Sir Charles Gairdner Hospital, Nedlands, WA, Australia.,College of Medicine and Public Health, Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA, Australia
| | - Romola S Bucks
- School of Psychological Science, University of Western Australia, Perth, WA, Australia.,School of Population and Global Health, University of Western Australia, Perth, WA, Australia
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22
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Meng X, Zheng J, Liu Y, Yin Y, Hua K, Fu S, Wu Y, Jiang G. Increased Dynamic Amplitude of Low Frequency Fluctuation in Primary Insomnia. Front Neurol 2020; 11:609. [PMID: 32714271 PMCID: PMC7344192 DOI: 10.3389/fneur.2020.00609] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 05/25/2020] [Indexed: 01/05/2023] Open
Abstract
The physiological mechanism underlying primary insomnia (PI) is poorly understood. Resting-state functional magnetic resonance imaging (fMRI) has emerged as a powerful tool to explore PI. However, previous studies ignore the dynamics of the brain activity. In the current study, we aimed to explore altered dynamic intrinsic brain activity in PI. Fifty-nine patients with PI and 47 matched healthy controls (HCs) were recruited and underwent resting-state fMRI. The variance of dynamic amplitude of low frequency fluctuation (dALFF) maps across time was calculated to measure the temporal variability of intrinsic brain activity and then compared between patients with PI and HCs. As a result, patients with PI presented increased variance of dALFF in the bilateral hippocampus extending to the parahippocampus, the right putamen and the right anterior insula cortex. In addition, the variance of dALFF in the right putamen was positively correlated with Self-rating Anxiety Scale (SAS) score in PI. Our results revealed increased instability of intrinsic activity in PI.
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Affiliation(s)
- Xianyun Meng
- Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China
- Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, China
| | - Jianjun Zheng
- Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China
- Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, China
| | - Yingpeng Liu
- Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China
- Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, 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
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23
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Winiger EA, Huggett SB, Hatoum AS, Friedman NP, Drake CL, Wright KP, Hewitt JK. Onset of regular cannabis use and young adult insomnia: an analysis of shared genetic liability. Sleep 2020; 43:zsz293. [PMID: 31855253 PMCID: PMC7368342 DOI: 10.1093/sleep/zsz293] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 11/22/2019] [Indexed: 01/13/2023] Open
Abstract
STUDY OBJECTIVES Estimate the genetic and environmental influences on the relationship between onset of regular cannabis use and young adult insomnia. METHODS In a population-based twin cohort of 1882 twins (56% female, mean age = 22.99, SD = 2.97) we explored the genetic/environmental etiology of the relationship between onset of regular cannabis use and insomnia-related outcomes via multivariate twin models. RESULTS Controlling for sex, current depression symptoms, and prior diagnosis of an anxiety or depression disorder, adult twins who reported early onset for regular cannabis use (age 17 or younger) were more likely to have insomnia (β = 0.07, p = 0.024) and insomnia with short sleep on weekdays (β = 0.08, p = 0.003) as young adults. We found significant genetic contributions for the onset of regular cannabis use (a2 = 76%, p < 0.001), insomnia (a2 = 44%, p < 0.001), and insomnia with short sleep on weekdays (a2 = 37%, p < 0.001). We found significant genetic correlations between onset of regular use and both insomnia (rA = 0.20, p = 0.047) and insomnia with short sleep on weekdays (rA = 0.25, p = 0.008) but no significant environmental associations between these traits. CONCLUSIONS We found common genetic liabilities for early onset of regular cannabis use and insomnia, implying pleiotropic influences of genes on both traits.
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Affiliation(s)
- Evan A Winiger
- Institute for Behavioral Genetics, University of Colorado - Boulder, Boulder, CO
- Department of Psychology and Neuroscience, University of Colorado - Boulder, Boulder, CO
| | - Spencer B Huggett
- Institute for Behavioral Genetics, University of Colorado - Boulder, Boulder, CO
- Department of Psychology and Neuroscience, University of Colorado - Boulder, Boulder, CO
| | - Alexander S Hatoum
- Institute for Behavioral Genetics, University of Colorado - Boulder, Boulder, CO
- Department of Psychology and Neuroscience, University of Colorado - Boulder, Boulder, CO
| | - Naomi P Friedman
- Institute for Behavioral Genetics, University of Colorado - Boulder, Boulder, CO
- Department of Psychology and Neuroscience, University of Colorado - Boulder, Boulder, CO
| | | | - Kenneth P Wright
- Department of Integrative Physiology, University of Colorado - Boulder, Boulder, CO
| | - John K Hewitt
- Institute for Behavioral Genetics, University of Colorado - Boulder, Boulder, CO
- Department of Psychology and Neuroscience, University of Colorado - Boulder, Boulder, CO
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24
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Lunsford-Avery JR, Damme KSF, Engelhard MM, Kollins SH, Mittal VA. Sleep/Wake Regularity Associated with Default Mode Network Structure among Healthy Adolescents and Young Adults. Sci Rep 2020; 10:509. [PMID: 31949189 PMCID: PMC6965093 DOI: 10.1038/s41598-019-57024-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 12/20/2019] [Indexed: 12/31/2022] Open
Abstract
Sleep deprivation and disorders are linked to reduced DMN connectivity. Less is known about how naturalistic sleep patterns - specifically sleep irregularity - relate to the DMN, particularly among adolescents and young adults. Additionally, no studies have utilized graph theory analysis to clarify whether sleep-related decreases in connectivity reflect global or local DMN changes. Twenty-five healthy adolescents and young adults (age range = 12-22; mean = 18.08; SD = 2.64, 56% female) completed 7 days of actigraphy and resting-state fMRI. Sleep regularity was captured by the Sleep Regularity Index (SRI) and the relationship between the SRI and DMN was examined using graph theory analysis. Analogous analyses explored relationships between the SRI and additional resting-state networks. Greater sleep regularity related to decreased path length (increased network connectivity) in DMN regions, particularly the right and left lateral parietal lobule, and the Language Network, including the left inferior frontal gyrus and the left posterior superior frontal gyrus. Findings were robust to covariates including sex and age. Sleep and DMN function may be tightly linked during adolescence and young adulthood, and reduced DMN connectivity may reflect local changes within the network. Future studies should assess how this relationship impacts cognitive development and neuropsychiatric outcomes in this age group.
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Affiliation(s)
- Jessica R Lunsford-Avery
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA.
| | | | - Matthew M Engelhard
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Scott H Kollins
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA
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25
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Goldstein-Piekarski AN, Holt-Gosselin B, O'Hora K, Williams LM. Integrating sleep, neuroimaging, and computational approaches for precision psychiatry. Neuropsychopharmacology 2020; 45:192-204. [PMID: 31426055 PMCID: PMC6879628 DOI: 10.1038/s41386-019-0483-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 06/21/2019] [Accepted: 07/22/2019] [Indexed: 12/13/2022]
Abstract
In advancing precision psychiatry, we focus on what imaging technology and computational approaches offer for the future of diagnostic subtyping and personalized tailoring of interventions for sleep impairment in mood and anxiety disorders. Current diagnostic criteria for mood and anxiety tend to lump different forms of sleep disturbance together. Parsing the biological features of sleep impairment and brain circuit dysfunction is one approach to identifying subtypes within these disorders that are mechanistically coherent and offer targets for intervention. We focus on two large-scale neural circuits implicated in sleep impairment and in mood and anxiety disorders: the default mode network and negative affective network. Through a synthesis of existing knowledge about these networks, we pose a testable framework for understanding how hyper- versus hypo-engagement of these networks may underlie distinct features of mood and sleep impairment. Within this framework we consider whether poor sleep quality may have an explanatory role in previously observed associations between network dysfunction and mood symptoms. We expand this framework to future directions including the potential for connecting circuit-defined subtypes to more distal features derived from digital phenotyping and wearable technologies, and how new discovery may be advanced through machine learning approaches.
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Affiliation(s)
- Andrea N Goldstein-Piekarski
- Department of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road, Stanford, CA, 94305, USA
- Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA, 94304, USA
| | - Bailey Holt-Gosselin
- Department of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road, Stanford, CA, 94305, USA
| | - Kathleen O'Hora
- Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA, 94304, USA
| | - Leanne M Williams
- Department of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road, Stanford, CA, 94305, USA.
- Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA, 94304, USA.
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26
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Efficacy of Polygonatum sibiricum on Mild Insomnia: A Randomized Placebo-Controlled Trial. Nutrients 2019; 11:nu11081719. [PMID: 31349690 PMCID: PMC6723095 DOI: 10.3390/nu11081719] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 07/10/2019] [Accepted: 07/22/2019] [Indexed: 02/03/2023] Open
Abstract
Polygonatum sibiricum (PS) rhizome, which contains glyceryl-1-monolinoleate as its primary active component, has been shown to improve insomnia in animal models. Based on these findings, we aimed to investigate the safety and efficacy of PS rhizome extract in improving sleep quality in individuals with mild insomnia. Eighty individuals with mild insomnia were enrolled in a four-week, randomized, double-blind, placebo-controlled trial of PS rhizome extract (500 mg/day, n = 40, PS group) or placebo (n = 40, placebo group). The primary outcome measure was change in total score on the Athens Insomnia Scale (AIS) to indicate sleep quality. The secondary outcome measures included change in actigraphy data and perfusion levels in the brain regions within the default mode network (DMN), which is known to play a key role in insomnia. The PS group showed greater improvement in the total AIS score with a significant increase in total sleep time, relative to the placebo group. In addition, significant group-by-visit interactions were observed in the perfusion level of the medial prefrontal cortex within the DMN. Findings of the current study provide first evidence that PS rhizome extract could be an effective natural ingredient for improving sleep in mild insomnia using a human model.
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27
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Wang L, Wang K, Liu JH, Wang YP. Altered Default Mode and Sensorimotor Network Connectivity With Striatal Subregions in Primary Insomnia: A Resting-State Multi-Band fMRI Study. Front Neurosci 2018; 12:917. [PMID: 30574065 PMCID: PMC6291517 DOI: 10.3389/fnins.2018.00917] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 11/22/2018] [Indexed: 11/15/2022] Open
Abstract
Background: Primary insomnia is a high prevalent sleep disorder. Disturbed brain activity during reward, emotional, and cognitive processing have been observed in insomnia patients. Studies have implicated a critical role of the striatum in these dysfunctions. However, there have been no direct investigations on the whole-brain functional connectivity (FC) of the striatum in insomnia. Methods: We analyzed the group differences in the FC images of 6 predefined striatal subregions based on the multi-band resting-state fMRI data of 18 insomnia patients and 16 healthy controls. Results: We found increased positive FC in the bilateral medial frontal gyrus for bilateral dorsal caudate (DC) and left inferior ventral striatum (VS) subregions, but increased negative FC in the bilateral inferior parietal lobe for the left inferior VSi and right dorsal caudal putamen (DCP) subregions, and in the lateral temporal, occipital, and primary sensorimotor areas for the bilateral DC and left superior VS subregions. The FC between the right DCP and right inferior parietal lobe showed significant positive correlation with Pittsburgh Sleep Quality Index (PSQI). Conclusion: The findings indicate disturbed striatal FC with the default mode network (DMN), the visual and somatosensory areas in insomnia, which likely reflects an inappropriate reward or emotional significance attribute to self-reflection, episodic memory, sensory-perception processes. The altered striatal FC might increase the risk of insomnia patients to develop depression and anxiety.
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Affiliation(s)
- Li Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Kun Wang
- Beijing Puren Hospital, Beijing, China
| | - Jiang-Hong Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yu-Ping Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
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28
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Yu S, Shen Z, Lai R, Feng F, Guo B, Wang Z, Yang J, Hu Y, Gong L. The Orbitofrontal Cortex Gray Matter Is Associated With the Interaction Between Insomnia and Depression. Front Psychiatry 2018; 9:651. [PMID: 30564152 PMCID: PMC6288475 DOI: 10.3389/fpsyt.2018.00651] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Accepted: 11/16/2018] [Indexed: 01/18/2023] Open
Abstract
Insomnia and depression are highly comorbid symptoms in both primary insomnia (PI) and major depressive disorder (MDD). In the current study, we aimed at exploring both the homogeneous and heterogeneous brain structure alteration in PI and MDD patients. Sixty-five MDD patients and 67 matched PI patients were recruited and underwent a structural MRI scan. The subjects were sub-divided into four groups, namely MDD patients with higher or lower insomnia, and PI patients with higher or lower severe depression. A general linear model was employed to explore the changes in cortical thickness and volume as a result of depression or insomnia, and their interaction. In addition, partial correlation analysis was conducted to detect the clinical significance of the altered brain structural regions. A main effect of depression on cortical thickness was seen in the superior parietal lobe, middle cingulate cortex, and parahippocampal gyrus, while a main effect of insomnia on cortical thickness was found in the posterior cingulate cortex. Importantly, the interaction between depression and insomnia was associated with decreased gray matter volume in the right orbitofrontal cortex, i.e., patients with co-occurring depression and insomnia showed smaller brain volume in the right orbitofrontal cortex when compared to patients with lower insomnia/depression. These findings highlighted the role of the orbitofrontal cortex in the neuropathology of the comorbidity of insomnia and depression. Our findings provide new insights into the understanding of the brain mechanism underlying comorbidity of insomnia and depression.
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Affiliation(s)
- Siyi Yu
- Department of Acupuncture & Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Zhifu Shen
- Department of Acupuncture & Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Rui Lai
- Department of Anesthesiology, People's Hospital of Deyang, Deyang, China
| | - Fen Feng
- Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Baojun Guo
- Department of Acupuncture & Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Zhengyan Wang
- Department of Pain Management, Sichuan Integrative Medicine Hospital, Chengdu, China
| | - Jie Yang
- Department of Acupuncture & Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Youping Hu
- Department of Acupuncture & Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Liang Gong
- Department of Neurology, Chengdu Second People's Hospital, Chengdu, China
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
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29
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Tahmasian M, Noori K, Samea F, Zarei M, Spiegelhalder K, Eickhoff SB, Van Someren E, Khazaie H, Eickhoff CR. A lack of consistent brain alterations in insomnia disorder: An activation likelihood estimation meta-analysis. Sleep Med Rev 2018; 42:111-118. [PMID: 30093361 PMCID: PMC7965842 DOI: 10.1016/j.smrv.2018.07.004] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Revised: 07/02/2018] [Accepted: 07/06/2018] [Indexed: 10/28/2022]
Abstract
Insomnia disorder is a prevalent sleep disorder, which affects about 10% of general population. However, its neural mechanisms are poorly understood. Recently, several structural and functional neuroimaging studies have been conducted in patients with insomnia disorder, but these studies have yielded diverse findings. Here, we aimed to identify consistent patterns of abnormal brain alterations in insomnia disorder by performing a quantitative coordinate-based meta-analysis. Following the preferred reporting for systematic reviews and meta-analyses statement, we searched PubMed database and used reference tracking and finally retrieved 19 eligible studies (six task-based functional magnetic resonance imaging, eight resting-state functional magnetic resonance imaging, three voxel-based morphometry, and two positron emission tomography). We extracted peak coordinates from these studies and tested for convergence using the activation likelihood estimation method. Using this method, we found no significant convergent evidence for combination of structural atrophy and functional disturbances across previous studies (p = 0.914). Inconsistencies across these studies might be related to heterogonous clinical populations, the explorative nature of these studies in combination with small sample sizes, different experimental designs, and various preprocessing and statistical approaches. Future neuroimaging studies on insomnia disorder should include larger well-characterized samples, as well as standard imaging and analysis protocols.
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Affiliation(s)
- Masoud Tahmasian
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Khadijeh Noori
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Fateme Samea
- Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran
| | - Mojtaba Zarei
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Medical Centre - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-1; INM-7), Research Center Jülich, Jülich, Germany
| | - Eus Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Meibergdreef 47, 1105 Amsterdam BA, The Netherlands; Department of Psychiatry and Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Neuroscience Campus Amsterdam, VU University and Medical Center, De Boelelaan 1187, 1081 Amsterdam HV, The Netherlands
| | - Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.
| | - Claudia R Eickhoff
- Institute of Neuroscience and Medicine (INM-1; INM-7), Research Center Jülich, Jülich, Germany; Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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30
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Amorim L, Magalhães R, Coelho A, Moreira PS, Portugal-Nunes C, Castanho TC, Marques P, Sousa N, Santos NC. Poor Sleep Quality Associates With Decreased Functional and Structural Brain Connectivity in Normative Aging: A MRI Multimodal Approach. Front Aging Neurosci 2018; 10:375. [PMID: 30524267 PMCID: PMC6257343 DOI: 10.3389/fnagi.2018.00375] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Accepted: 10/29/2018] [Indexed: 12/19/2022] Open
Abstract
Sleep is a ubiquitous phenomenon, essential to the organism homeostasis. Notwithstanding, there has been an increasing concern with its disruption, not only within the context of pathological conditions, such as neurologic and psychiatric diseases, but also in health. In fact, sleep complaints are becoming particularly common, especially in middle-aged and older adults, which may suggest an underlying susceptibility to sleep quality loss and/or its consequences. Thus, a whole-brain modeling approach to study the shifts in the system can cast broader light on sleep quality mechanisms and its associated morbidities. Following this line, we sought to determine the association between the standard self-reported measure of sleep quality, the Pittsburgh Sleep Quality Index (PSQI) and brain correlates in a normative aging cohort. To this purpose, 86 participants (age range 52–87 years) provided information regarding sociodemographic parameters, subjective sleep quality and associated psychological variables. A multimodal magnetic resonance imaging (MRI) approach was used, with whole-brain functional and structural connectomes being derived from resting-state functional connectivity (FC) and probabilistic white matter tractography (structural connectivity, SC). Brain regional volumes and white matter properties associations were also explored. Results show that poor sleep quality was associated with a decrease in FC and SC of distinct networks, overlapping in right superior temporal pole, left middle temporal and left inferior occipital regions. Age displayed important associations with volumetric changes in the cerebellum cortex and white matter, thalamus, hippocampus, right putamen, left supramarginal and left lingual regions. Overall, results suggest that not only the PSQI global score may act as a proxy of changes in FC/SC in middle-aged and older individuals, but also that the age-related regional volumetric changes may be associated to an adjustment of brain connectivity. These findings may also represent a step further in the comprehension of the role of sleep disturbance in disease, since the networks found share regions that have been shown to be affected in pathologies, such as depression and Alzheimer's disease.
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Affiliation(s)
- Liliana Amorim
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, Braga, Portugal.,Clinical Academic Center-Braga, Braga, Portugal
| | - Ricardo Magalhães
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, Braga, Portugal.,Clinical Academic Center-Braga, Braga, Portugal
| | - Ana Coelho
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, Braga, Portugal.,Clinical Academic Center-Braga, Braga, Portugal
| | - Pedro Silva Moreira
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, Braga, Portugal.,Clinical Academic Center-Braga, Braga, Portugal
| | - Carlos Portugal-Nunes
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, Braga, Portugal.,Clinical Academic Center-Braga, Braga, Portugal
| | - Teresa Costa Castanho
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, Braga, Portugal.,Clinical Academic Center-Braga, Braga, Portugal
| | - Paulo Marques
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, Braga, Portugal.,Clinical Academic Center-Braga, Braga, Portugal
| | - Nuno Sousa
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, Braga, Portugal.,Clinical Academic Center-Braga, Braga, Portugal
| | - Nadine Correia Santos
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, Braga, Portugal.,Clinical Academic Center-Braga, Braga, Portugal
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Yan CQ, Wang X, Huo JW, Zhou P, Li JL, Wang ZY, Zhang J, Fu QN, Wang XR, Liu CZ, Liu QQ. Abnormal Global Brain Functional Connectivity in Primary Insomnia Patients: A Resting-State Functional MRI Study. Front Neurol 2018; 9:856. [PMID: 30450072 PMCID: PMC6224336 DOI: 10.3389/fneur.2018.00856] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 09/24/2018] [Indexed: 12/18/2022] Open
Abstract
Background: Resting-state functional magnetic resonance imaging (fMRI) studies have uncovered the disruptions of functional brain networks in primary insomnia (PI) patients. However, the etiology and pathogenesis underlying this disorder remains ambiguous, and the insomnia related symptoms are influenced by a complex network organization in the brain. The purpose of this study was to explore the abnormal intrinsic functional hubs in PI patients using a voxel-wise degree centrality (DC) analysis and seed-based functional connectivity (FC) approach. Methods: A total of 26 PI patients and 28 healthy controls were enrolled, and they underwent resting-state fMRI. Degree centrality was measured across the whole brain, and group differences in DC were compared. The peak points, which significantly altered DC between the two groups, were defined as the seed regions and were further used to calculate FC of the whole brain. Later, correlation analyses were performed between the changes in brain function and clinical features. Results: Primary insomnia patients showed DC values lower than healthy controls in the left inferior frontal gyrus (IFG) and middle temporal gyrus (MTG) and showed a higher DC value in the right precuneus. The seed-based analyses demonstrated decreased FC between the left MTG and the left posterior cingulate cortex (PCC), and decreased FC was observed between the right precuneus and the right lateral occipital cortex. Reduced DC in the left IFG and decreased FC in the left PCC were positively correlated with the Pittsburgh sleep quality index and the insomnia severity index. Conclusions: This study revealed that PI patients exhibited abnormal intrinsic functional hubs in the left IFG, MTG, and the right precuneus, as well as abnormal seed-based FC in these hubs. These results contribute to better understanding of how brain function influences the symptoms of PI.
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Affiliation(s)
- Chao-Qun Yan
- Department of Acupuncture and Moxibustion, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.,Department of Psychosomatic Medicine, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
| | - Xu Wang
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Jian-Wei Huo
- Department of Radiology, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
| | - Ping Zhou
- Department of Psychosomatic Medicine, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
| | - Jin-Ling Li
- Department of Acupuncture and Moxibustion, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Zhong-Yan Wang
- Department of Radiology, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
| | - Jie Zhang
- Department of Psychosomatic Medicine, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
| | - Qing-Nan Fu
- Department of Psychosomatic Medicine, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
| | - Xue-Rui Wang
- Department of Psychosomatic Medicine, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
| | - Cun-Zhi Liu
- Department of Acupuncture and Moxibustion, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Qing-Quan Liu
- Department of Psychosomatic Medicine, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
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Kong D, Liu R, Song L, Zheng J, Zhang J, Chen W. Altered Long- and Short-Range Functional Connectivity Density in Healthy Subjects After Sleep Deprivations. Front Neurol 2018; 9:546. [PMID: 30061857 PMCID: PMC6054999 DOI: 10.3389/fneur.2018.00546] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Accepted: 06/19/2018] [Indexed: 12/14/2022] Open
Abstract
Objective: To investigate the brain functional organization induced by sleep deprivation (SD) using functional connectivity density (FCD) analysis. Methods: Twenty healthy subjects (12 female, 8 male; mean age, 20.6 ± 1.9 years) participated a 24 h sleep deprivation (SD) design. All subjects underwent the MRI scan and attention network test twice, once during rested wakefulness (RW) status, and the other was after 24 h acute SD. FCD was divided into the shortFCD and longFCD. Receiver operating characteristic (ROC) curve was used to evaluate the discriminating ability of those FCD differences in brain areas during the SD status from the RW status, while Pearson correlations was used to evaluate the relationships between those differences and behavioral performances. Results: Subjects at SD status exhibited lower accuracy rate and longer reaction time relative to RW status. Compared with RW, SD had a significant decreased shortFCD in the left cerebellum posterior lobe, right cerebellum anterior lobe, and right orbitofrontal cortex, and increased shortFCD in the left occipital gyrus, bilateral thalamus, right paracentral lobule, bilateral precentral gyrus, and bilateral postcentral gyrus. Compared with RW, SD had a significant increased longFCD in the right precentral gyrus, bilateral postcentral gyrus, and right visuospatial network, and decreased longFCD in the default mode network. The area under the curve values of those specific FCD differences in brain areas were (mean ± std, 0.933 ± 0.035; 0.863~0.977). Further ROC curve analysis demonstrated that the FCD differences in those brain areas alone discriminated the SD status from the RW status with high degree of sensitivities (89.19 ± 6%; 81.3~100%) and specificities (89.15 ± 6.87%; 75~100%). Reaction time showed a negative correlation with the right orbitofrontal cortex (r = −0.48, p = 0.032), and accuracy rate demonstrated a positive correlation with the right default mode network (r = 0.573, p = 0.008). Conclusions: The longFCD and shortFCD analysis might be potential indicator biomarkers to locate the underlying altered intrinsic brain functional organization disturbed by SD. SD sustains the cognitive performance by the decreased high-order cognition related areas and the arousal and sensorimotor related areas.
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Affiliation(s)
- Dan Kong
- Department of Medical Imaging, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Run Liu
- Department of Radiology, The Affiliated Xi'an Central Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Lixiao Song
- Department of Hematology, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Jiyong Zheng
- Department of Medical Imaging, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Jiandong Zhang
- Department of Medical Imaging, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Wei Chen
- Department of Interventional Radiology, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, China
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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: 23] [Impact Index Per Article: 3.8] [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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Liu X, Zheng J, Liu BX, Dai XJ. Altered connection properties of important network hubs may be neural risk factors for individuals with primary insomnia. Sci Rep 2018; 8:5891. [PMID: 29651014 PMCID: PMC5897381 DOI: 10.1038/s41598-018-23699-3] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 03/14/2018] [Indexed: 12/18/2022] Open
Abstract
Primary insomnia (PIs) is highly prevalent and can lead to adverse socioeconomic impacts, but the underlying mechanism of its complex brain network impairment remains largely unknown. Functional studies are too few and diverse in methodology, which makes it difficult to glean general conclusions. To answer this question, we first used graph theory-based network analyse, together with seed-based functional connectivity approach, to characterize the topology architecture of whole-brain functional networks associated with PIs. Forty-eight subjects with PIs and 48 age/sex/education-matched good sleepers were recruited. We found PIs is associated with altered connection properties of intra-networks within the executive control network, default mode network and salience network, and inter-network between auditory language comprehension center and executive control network. These complex networks were correlated with negative emotions and insomnia severity in the PIs group. Altered connection properties of these network hubs appeared to be neural risk factors for neuropsychological changes of PIs, and might be used as potential neuroimaging markers to distinguish the PIs from the good sleepers. These findings highlight the role of functional connectivity in the pathophysiology of PIs, and may underlie the neural mechanisms of etiology of PIs.
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Affiliation(s)
- Xuming Liu
- Department of Radiology, The Third Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Jiyong Zheng
- Department of Medical Imaging, The affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huai'an, 223300, Jiangsu, People's Republic of China
| | - Bi-Xia Liu
- Department of Respiration, the First Hospital Affiliated to Soochow University, Suzhou, 215006, People's Republic of China.,Department of ICU, Jiangxi Provincial Cancer Hospital, Nanchang, 330029, Jiangxi, People's Republic of China
| | - Xi-Jian Dai
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, People's Republic of China. .,Department of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.
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Dong X, Qin H, Wu T, Hu H, Liao K, Cheng F, Gao D, Lei X. Rest but busy: Aberrant resting-state functional connectivity of triple network model in insomnia. Brain Behav 2018; 8:e00876. [PMID: 29484254 PMCID: PMC5822570 DOI: 10.1002/brb3.876] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Revised: 10/04/2017] [Accepted: 10/12/2017] [Indexed: 01/01/2023] Open
Abstract
Introduction One classical hypothesis among many models to explain the etiology and maintenance of insomnia disorder (ID) is hyperarousal. Aberrant functional connectivity among resting-state large-scale brain networks may be the underlying neurological mechanisms of this hypothesis. The aim of current study was to investigate the functional network connectivity (FNC) among large-scale brain networks in patients with insomnia disorder (ID) during resting state. Methods In the present study, the resting-state fMRI was used to evaluate whether patients with ID showed aberrant FNC among dorsal attention network (DAN), frontoparietal control network (FPC), anterior default mode network (aDMN), and posterior default mode network (pDMN) compared with healthy good sleepers (HGSs). The Pearson's correlation analysis was employed to explore whether the abnormal FNC observed in patients with ID was associated with sleep parameters, cognitive and emotional scores, and behavioral performance assessed by questionnaires and tasks. Results Patients with ID had worse subjective thought control ability measured by Thought Control Ability Questionnaire (TCAQ) and more negative affect than HGSs. Intriguingly, relative to HGSs, patients with ID showed a significant increase in FNC between DAN and FPC, but a significant decrease in FNC between aDMN and pDMN. Exploratory analysis in patients with ID revealed a significantly positive correlation between the DAN-FPC FNC and reaction time (RT) of psychomotor vigilance task (PVT). Conclusion The current study demonstrated that even during the resting state, the task-activated and task-deactivated large-scale brain networks in insomniacs may still maintain a hyperarousal state, looking quite similar to the pattern in a task condition with external stimuli. Those results support the hyperarousal model of insomnia.
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Affiliation(s)
- Xiaojuan Dong
- Sleep and NeuroImaging CenterFaculty of PsychologySouthwest UniversityChongqingChina
- Key Laboratory of Cognition and Personality of Ministry of EducationChongqingChina
| | - Haixia Qin
- Sleep and NeuroImaging CenterFaculty of PsychologySouthwest UniversityChongqingChina
- Key Laboratory of Cognition and Personality of Ministry of EducationChongqingChina
| | - Taoyu Wu
- School of Psychological and Cognitive SciencesPKU‐IDG/McGovern Institute for Brain ResearchBeijing Key Laboratory of Behavior and Mental HealthPeking UniversityBeijingChina
| | - Hua Hu
- Department of Psychiatrythe First Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Keren Liao
- Sleep and NeuroImaging CenterFaculty of PsychologySouthwest UniversityChongqingChina
- Key Laboratory of Cognition and Personality of Ministry of EducationChongqingChina
| | - Fei Cheng
- Sleep and NeuroImaging CenterFaculty of PsychologySouthwest UniversityChongqingChina
- Key Laboratory of Cognition and Personality of Ministry of EducationChongqingChina
| | - Dong Gao
- Sleep Psychology CenterDaping HospitalThird Military Medical UniversityChongqingChina
| | - Xu Lei
- Sleep and NeuroImaging CenterFaculty of PsychologySouthwest UniversityChongqingChina
- Key Laboratory of Cognition and Personality of Ministry of EducationChongqingChina
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Li Z, Chen R, Guan M, Wang E, Qian T, Zhao C, Zou Z, Beck T, Shi D, Wang M, Zhang H, Li Y. Disrupted brain network topology in chronic insomnia disorder: A resting-state fMRI study. NEUROIMAGE-CLINICAL 2018; 18:178-185. [PMID: 29387533 PMCID: PMC5789127 DOI: 10.1016/j.nicl.2018.01.012] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Revised: 12/26/2017] [Accepted: 01/15/2018] [Indexed: 01/01/2023]
Abstract
This study investigated the topological characteristics of brain functional networks in chronic insomnia disorder (CID) patients. The resting-state functional magnetic resonance imaging and graph theory analysis method were applied to investigate the brain functional connectome patterns among 45 CID patients and 32 healthy controls. The brain functional connectome was constructed by thresholding partial correlation matrices of 90 brain regions from an automated anatomical labeling atlas. The topologic properties of brain functional connectomes at both global and nodal levels were tested. The CID patients had decreased number of module (p = .014) and hierarchy (p = .038), and increased assortativity (p = .035). Furthermore, some brain regions located in the default mode network, dorsal attention network, and sensory-motor network in these patients showed altered nodal centralities. Within these areas, the node betweenness of right central paracentral lobule had positive correlation with the Pittsburgh Sleep Quality Index score (R = 0.319, p = .039). The results imply that functional disruptions of CID patients may be related to disruptions in global and regional topological organization of the brain functional connectome, and provide new and important insights to understand the pathophysiological mechanisms of CID. Chronic insomnia disorder (CID) patients had disrupted global topological properties. Many brain regions of CID patients showed altered nodal centralities involving three different resting networks. Functional disruption of right central paracentral lobule may be a target for therapeutic intervention in pediatric CID. The disruption of topological organization might be explain the mechanism/reason of functional disruptions of CID.
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Affiliation(s)
- Zhonglin Li
- People's Hospital of Zhengzhou University, Department of Radiology, China; Henan Key Laboratory for Medical Imaging of Neurological Diseases, Department of Functional Imaging, China
| | - Rui Chen
- People's Hospital of Zhengzhou University, Department of Radiology, China; Henan Key Laboratory for Medical Imaging of Neurological Diseases, Department of Functional Imaging, China
| | - Min Guan
- People's Hospital of Zhengzhou University, Department of Radiology, China; Henan Key Laboratory for Medical Imaging of Neurological Diseases, Department of Functional Imaging, China
| | - Enfeng Wang
- People's Hospital of Zhengzhou University, Department of Radiology, China; Henan Key Laboratory for Medical Imaging of Neurological Diseases, Department of Functional Imaging, China
| | - Tianyi Qian
- Siemens Healthcare, MR Collaboration, NEA, Beijing, China
| | - Cuihua Zhao
- People's Hospital of Zhengzhou University, Department of Radiology, China; Henan Key Laboratory for Medical Imaging of Neurological Diseases, Department of Functional Imaging, China
| | - Zhi Zou
- People's Hospital of Zhengzhou University, Department of Radiology, China; Henan Key Laboratory for Medical Imaging of Neurological Diseases, Department of Functional Imaging, China
| | - Thomas Beck
- Siemens Healthcare, MR Strategy and Innovation, Erlangen, Germany
| | - Dapeng Shi
- People's Hospital of Zhengzhou University, Department of Radiology, China; Henan Key Laboratory for Medical Imaging of Neurological Diseases, Department of Functional Imaging, China
| | - Meiyun Wang
- People's Hospital of Zhengzhou University, Department of Radiology, China; Henan Key Laboratory for Medical Imaging of Neurological Diseases, Department of Functional Imaging, China
| | - Hongju Zhang
- People's Hospital of Zhengzhou University, Department of Neurology, China.
| | - Yongli Li
- People's Hospital of Zhengzhou University, Department of Radiology, China; Henan Key Laboratory for Medical Imaging of Neurological Diseases, Department of Functional Imaging, China.
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Dai XJ, Jiang J, Zhang Z, Nie X, Liu BX, Pei L, Gong H, Hu J, Lu G, Zhan Y. Plasticity and Susceptibility of Brain Morphometry Alterations to Insufficient Sleep. Front Psychiatry 2018; 9:266. [PMID: 29997530 PMCID: PMC6030367 DOI: 10.3389/fpsyt.2018.00266] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2018] [Accepted: 05/31/2018] [Indexed: 12/20/2022] Open
Abstract
UNLABELLED Background: Insufficient sleep is common in daily life and can lead to cognitive impairment. Sleep disturbance also exists in neuropsychiatric diseases. However, whether and how acute and chronic sleep loss affect brain morphology remain largely unknown. Methods: We used voxel-based morphology method to study the brain structural changes during sleep deprivation (SD) at six time points of rested wakefulness, 20, 24, 32, 36 h SD, and after one night sleep in 22 healthy subjects, and in 39 patients with chronic primary insomnia relative to 39 status-matched good sleepers. Attention network and spatial memory tests were performed at each SD time point in the SD Procedure. The longitudinal data were analyzed using one-way repeated measures ANOVA, and post-hoc analysis was used to determine the between-group differences. Results: Acute SD is associated with widespread gray matter volume (GMV) changes in the thalamus, cerebellum, insula and parietal cortex. Insomnia is associated with increased GMV in temporal cortex, insula and cerebellum. Acute SD is associated with brain atrophy and as SD hours prolong more areas show reduced GMV, and after one night sleep the brain atrophy is restored and replaced by increased GMV in brain areas. SD has accumulative negative effects on attention and working memory. Conclusions: Acute SD and insomnia exhibit distinct morphological changes of GMV. SD has accumulative negative effects on brain morphology and advanced cognitive function. The altered GMV may provide neurobiological basis for attention and memory impairments following sleep loss. STATEMENT OF SIGNIFICANCE Sleep is less frequently studied using imaging techniques than neurological and psychiatric disorders. Whether and how acute and chronic sleep loss affect brain morphology remain largely unknown. We used voxel-based morphology method to study brain structural changes in healthy subjects over multiple time points during sleep deprivation (SD) status and in patients with chronic insomnia. We found that prolonged acute SD together with one night sleep recovery exhibits accumulative atrophic effect and recovering plasticity on brain morphology, in line with behavioral changes on attentional tasks. Furthermore, acute SD and chronic insomnia exhibit distinct morphological changes of gray matter volume (GMV) but they also share overlapping GMV changes. The altered GMV may provide structural basis for attention and memory impairments following sleep loss.
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Affiliation(s)
- Xi-Jian Dai
- Department of Medical Imaging, Medical School of Nanjing University, Jinling Hospital, Nanjing, China.,Department of Radiology, The First Affiliated Hospital of Nanchang University, Nangchang, China
| | - Jian Jiang
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Nangchang, China
| | - Zhiqiang Zhang
- Department of Medical Imaging, Medical School of Nanjing University, Jinling Hospital, Nanjing, China
| | - Xiao Nie
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Nangchang, China.,Department of Radiology, Yiyang Central Hospital, Yiyang, China
| | - Bi-Xia Liu
- Department of ICU, Jiangxi Cancer Hospital, Nanchang, China
| | - Li Pei
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Nangchang, China
| | - Honghan Gong
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Nangchang, China
| | - Jianping Hu
- Department of Medical Imaging, Medical School of Nanjing University, Jinling Hospital, Nanjing, China
| | - Guangming Lu
- Department of Medical Imaging, Medical School of Nanjing University, Jinling Hospital, Nanjing, China
| | - Yang Zhan
- Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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Role of Sleep Aids and Wake-Promoting Agents During Cognitive Behavior Therapy for Insomnia. CURRENT SLEEP MEDICINE REPORTS 2017. [DOI: 10.1007/s40675-017-0095-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Lee YJG, Kim S, Kim N, Choi JW, Park J, Kim SJ, Gwak AR, Lee YJ. Changes in subcortical resting-state functional connectivity in patients with psychophysiological insomnia after cognitive-behavioral therapy: Changes in resting-state FC after CBT for insomnia patients. Neuroimage Clin 2017; 17:115-123. [PMID: 29062688 PMCID: PMC5647526 DOI: 10.1016/j.nicl.2017.10.013] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Revised: 09/30/2017] [Accepted: 10/10/2017] [Indexed: 11/24/2022]
Abstract
STUDY OBJECTIVES To examine the resting-state functional connectivity (FC) between subcortical regions in relation to whole-brain activity in patients with psychophysiological insomnia (PI) and changes following cognitive-behavioral therapy for insomnia (CBTi). METHODS The FC between subcortical seed regions (caudate, putamen, pallidum, amygdala, thalamus, and hippocampus) and whole-brain voxels were compared between the PI group (n = 13, mean age: 51.0 ± 10.2 years) and good sleepers (GS, n = 18, mean age: 42.7 ± 12.3 years). Also, in the PI group, FC was compared before and after 5 weeks of CBTi. RESULTS Compared to the GS group, the PI group exhibited stronger FC between the thalamus and prefrontal cortex and between the pallidum and precuneus but weaker FC between the pallidum and angular gyrus, the caudate and orbitofrontal cortex, and the hippocampus and fusiform gyrus. After CBTi, the PI group exhibited decreased FC between the thalamus and parietal cortex, the putamen and motor cortices, and the amygdala and lingual gyrus, but increased FC between the caudate and supramarginal gyrus, the pallidum and orbitofrontal cortex, and the hippocampus and frontal/parietal gyri. CONCLUSIONS The present findings demonstrate different FC in PI patients compared to GS and provide insight into the neurobiological rationale for CBTi.
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Affiliation(s)
- Yu-Jin G Lee
- Department of Psychiatry, Eunpyeong Seoul Metropolitan Hospital, Seoul, Republic of Korea
| | - Soohyun Kim
- Department of Psychiatry, Center for Sleep and Chronobiology, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Nambeom Kim
- Gachon University, Neuroresearch Institute, Republic of Korea
| | - Jae-Won Choi
- Department of Psychiatry, Center for Sleep and Chronobiology, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Juhyun Park
- Department of Psychology, University at Buffalo, New York, USA
| | - Seog Ju Kim
- Department of Psychiatry, Sungkyunkwan University College of Medicine, Seoul, Republic of Korea
| | - Ah Reum Gwak
- Department of Psychiatry, Center for Sleep and Chronobiology, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Yu Jin Lee
- Department of Psychiatry, Center for Sleep and Chronobiology, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea.
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Pace-Schott EF, Zimmerman JP, Bottary RM, Lee EG, Milad MR, Camprodon JA. Resting state functional connectivity in primary insomnia, generalized anxiety disorder and controls. Psychiatry Res 2017; 265:26-34. [PMID: 28500965 PMCID: PMC5505504 DOI: 10.1016/j.pscychresns.2017.05.003] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 05/05/2017] [Accepted: 05/07/2017] [Indexed: 11/17/2022]
Abstract
Sleep abnormalities are extremely common in anxiety disorders and may contribute to their development and persistence. Their shared pathophysiological mechanisms could thus serve as biomarkers or targets for novel therapeutics. Individuals with Primary Insomnia were age- and sex-matched to controls and to persons with Generalized Anxiety Disorder. All underwent fMRI resting-state scans at 3-T. In Primary Insomnia and controls, sleep was recorded for 2 weeks using diaries and actigraphy. All participants completed state-anxiety and neuroticism inventories. Whole-brain connectivity of 6 fear- and extinction-related seeds were compared between the 3 groups using ANOVA. The only significant between-group main effect was seen for connectivity between the left amygdala seed and a bilateral cluster in the rostral anterior cingulate cortex. The latter is believed to exert top-down control over amygdala activity and their interaction may thus constitute an emotion regulatory circuit. This connectivity was significantly greatest in controls while Primary Insomnia was intermediate between that of controls and Generalized Anxiety Disorder. Across Primary Insomnia and control subjects, mean connectivity decreased with poorer sleep. Across all 3 groups, connectivity decreased with greater neuroticism and pre-scan anxiety. Decreased top-down control of the amygdala may increase risk of developing an anxiety disorder with preexisting Primary Insomnia.
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Affiliation(s)
- Edward F Pace-Schott
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; MGH/HST Martinos Center for Biomedical Imaging, Charlestown, MA, USA.
| | - Jared P Zimmerman
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; MGH/HST Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | - Ryan M Bottary
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; MGH/HST Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | - Erik G Lee
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; MGH/HST Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | - Mohammed R Milad
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; MGH/HST Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | - Joan A Camprodon
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; MGH/HST Martinos Center for Biomedical Imaging, Charlestown, MA, USA
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42
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Lu FM, Liu CH, Lu SL, Tang LR, Tie CL, Zhang J, Yuan Z. Disrupted Topology of Frontostriatal Circuits Is Linked to the Severity of Insomnia. Front Neurosci 2017; 11:214. [PMID: 28469552 PMCID: PMC5395640 DOI: 10.3389/fnins.2017.00214] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Accepted: 03/30/2017] [Indexed: 11/29/2022] Open
Abstract
Insomnia is one of the most common health complaints, with a high prevalence of 30~50% in the general population. In particular, neuroimaging research has revealed that widespread dysfunctions in brain regions involved in hyperarousal are strongly correlated with insomnia. However, whether the topology of the intrinsic connectivity is aberrant in insomnia remains largely unknown. In this study, resting-state functional magnetic resonance imaging (rsfMRI) in conjunction with graph theoretical analysis, was used to construct functional connectivity matrices and to extract the attribute features of the small-world networks in insomnia. We examined the alterations in global and local small-world network properties of the distributed brain regions that are predominantly implicated in the frontostriatal network between 30 healthy subjects with insomnia symptoms (IS) and 62 healthy subjects without insomnia symptoms (NIS). Correlations between the small-world properties and clinical measurements were also generated to identify the differences between the two groups. Both the IS group and the NIS group exhibited a small-worldness topology. Meanwhile, the global topological properties didn't show significant difference between the two groups. By contrast, participants in the IS group showed decreased regional degree and efficiency in the left inferior frontal gyrus (IFG) compared with subjects in the NIS group. More specifically, significantly decreased nodal efficiency in the IFG was found to be negatively associated with insomnia scores, whereas the abnormal changes in nodal betweenness centrality of the right putamen were positively correlated with insomnia scores. Our findings suggested that the aberrant topology of the salience network and frontostriatal connectivity is linked to insomnia, which can serve as an important biomarker for insomnia.
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Affiliation(s)
- Feng-Mei Lu
- Bioimaging Core, Faculty of Health Sciences, University of MacauMacau, China
| | - Chun-Hong Liu
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese MedicineBeijing, China.,Department of Radiology, Beijing Anding Hospital, Capital Medical UniversityBeijing, China
| | - Shun-Li Lu
- Department of Radiology, Beijing Anding Hospital, Capital Medical UniversityBeijing, China
| | - Li-Rong Tang
- Department of Radiology, Beijing Anding Hospital, Capital Medical UniversityBeijing, China
| | - Chang-Le Tie
- Department of Radiology, Beijing Anding Hospital, Capital Medical UniversityBeijing, China
| | - Juan Zhang
- Faculty of Education, University of MacauMacau, China
| | - Zhen Yuan
- Bioimaging Core, Faculty of Health Sciences, University of MacauMacau, China
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43
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Khazaie H, Veronese M, Noori K, Emamian F, Zarei M, Ashkan K, Leschziner GD, Eickhoff CR, Eickhoff SB, Morrell MJ, Osorio RS, Spiegelhalder K, Tahmasian M, Rosenzweig I. Functional reorganization in obstructive sleep apnoea and insomnia: A systematic review of the resting-state fMRI. Neurosci Biobehav Rev 2017; 77:219-231. [PMID: 28344075 PMCID: PMC6167921 DOI: 10.1016/j.neubiorev.2017.03.013] [Citation(s) in RCA: 104] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2016] [Revised: 02/24/2017] [Accepted: 03/21/2017] [Indexed: 12/12/2022]
Abstract
Resting state functional MRI studies is a promising non-invasive tool for better understanding of the pathophysiology of sleep disorders. The salience network is involved in hyperarousal and affective symptoms in insomnia. The posterior default mode network appears to underlie cognitive and depressive symptoms of obstructive sleep apnoea. Disruption of intrinsic networks have been demonstrated in major depression, which is a common co-morbidity of sleep disorders.
Functional neuroimaging techniques have accelerated progress in the study of sleep disorders. Considering the striking prevalence of these disorders in the general population, however, as well as their strong bidirectional relationship with major neuropsychiatric disorders, including major depressive disorder, their numbers are still surprisingly low. This review examines the contribution of resting state functional MRI to current understanding of two major sleep disorders, insomnia disorder and obstructive sleep apnoea. An attempt is made to learn from parallels of previous resting state functional neuroimaging findings in major depressive disorder. Moreover, shared connectivity biomarkers are suggested for each of the sleep disorders. Taken together, despite some inconsistencies, the synthesis of findings to date highlights the importance of the salience network in hyperarousal and affective symptoms in insomnia. Conversely, dysfunctional connectivity of the posterior default mode network appears to underlie cognitive and depressive symptoms of obstructive sleep apnoea.
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Affiliation(s)
- Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Mattia Veronese
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK
| | - Khadijeh Noori
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Farnoosh Emamian
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran; Department of Psychiatry, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Mojtaba Zarei
- Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
| | - Keyoumars Ashkan
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK; Department of Neurosurgery, King's College Hospital, London, UK
| | - Guy D Leschziner
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK
| | - Claudia R Eickhoff
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Institute of Clinical Neuroscience & Medical Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Mary J Morrell
- Academic Unit of Sleep and Breathing, National Heart and Lung Institute, Imperial College London, UK and NIHR Respiratory Disease Biomedical Research Unit at the Royal Brompton and Harefield NHS Foundation Trust,Sydney Street, London, SW3 6NP, UK
| | - Ricardo S Osorio
- Center for Brain Health, NYU School of Medicine, New York, NY, United States
| | - Kai Spiegelhalder
- Department of Clinical Psychology and Psychophysiology/Sleep Medicine, Center for Mental Disorders, University of Freiburg Medical Center, Freiburg, Germany
| | - Masoud Tahmasian
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran; Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK
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44
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Hyperarousal and Beyond: New Insights to the Pathophysiology of Insomnia Disorder through Functional Neuroimaging Studies. Brain Sci 2017; 7:brainsci7030023. [PMID: 28241468 PMCID: PMC5366822 DOI: 10.3390/brainsci7030023] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 02/09/2017] [Accepted: 02/16/2017] [Indexed: 01/04/2023] Open
Abstract
Neuroimaging studies have produced seemingly contradictory findings in regards to the pathophysiology of insomnia. Although most study results are interpreted from the perspective of a "hyperarousal" model, the aggregate findings from neuroimaging studies suggest a more complex model is needed. We provide a review of the major findings from neuroimaging studies, then discuss them in relation to a heuristic model of sleep-wake states that involves three major factors: wake drive, sleep drive, and level of conscious awareness. We propose that insomnia involves dysregulation in these factors, resulting in subtle dysregulation of sleep-wake states throughout the 24 h light/dark cycle.
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45
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Dai XJ, Nie X, Liu X, Pei L, Jiang J, Peng DC, Gong HH, Zeng XJ, Wáng YXJ, Zhan Y. Gender Differences in Regional Brain Activity in Patients with Chronic Primary Insomnia: Evidence from a Resting-State fMRI Study. J Clin Sleep Med 2017; 12:363-74. [PMID: 26715399 DOI: 10.5664/jcsm.5586] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2015] [Accepted: 11/23/2015] [Indexed: 12/15/2022]
Abstract
STUDY OBJECTIVES To explore the regional brain activities in patients with chronic primary insomnia (PCPIs) and their sex differences. METHODS Forty-two PCPIs (27 females, 15 males) and 42 good sleepers (GSs; 24 females, 18 males) were recruited. Six PCPIs (3 males, 3 females) were scanned twice by MRI to examine the test-retest reliability. Amplitude of low frequency fluctuation (ALFF) method was used to assess the local brain features. The mean signal values of the different ALFF areas were analyzed with a receiver operating characteristic (ROC) curve. Simple linear regression analysis was performed to investigate the relationships between clinical features and different brain areas. RESULTS Both female and male PCPIs showed higher ALFF in the temporal lobe and occipital lobe, especially in female PCPIs. Female PCPIs had lower ALFF in the bilateral cerebellum posterior lobe, left dorsolateral prefrontal cortex, and bilateral limbic lobe; however, male PCPIs showed lower ALFF in the left occipital gyrus. The mean signal value of the cerebellum in female PCPIs showed negative correlations with negative emotions. Compared with male PCPIs, female PCPIs showed higher ALFF in the bilateral middle temporal gyrus and lower ALFF in the left limbic lobe. The different areas showed high test-retest stability (Clusters of contiguous volumes ≥ 1080 mm(3) with an intraclass correlation coefficient ≥ 0.80) and high degree of sensitivity and specificity. CONCLUSIONS Female PCPIs showed more regional brain differences with higher and lower ALFF responses than male PCPIs. However, they shared analogous excessive hyperarousal mechanism and wide variations in aberrant brain areas.
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Affiliation(s)
- Xi-Jian Dai
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, China.,Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xiao Nie
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Xuming Liu
- Department of Radiology, The Third Clinical Institute Affiliated To Wenzhou Medical University, Zhejiang, China
| | - Li Pei
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Jian Jiang
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, China
| | - De-chang Peng
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Hong-Han Gong
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Xian-Jun Zeng
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Yì-Xiáng J Wáng
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong
| | - Yang Zhan
- Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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46
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Chen W, Zhang L, Xu YG, Zhu K, Luo M. Primary angle-closure glaucomas disturb regional spontaneous brain activity in the visual pathway: an fMRI study. Neuropsychiatr Dis Treat 2017; 13:1409-1417. [PMID: 28579788 PMCID: PMC5449125 DOI: 10.2147/ndt.s134258] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE To explore the underlying regional brain activity deficits in the visual cortex in patients with primary angle-closure glaucoma (PACG) relative to normal controls (NCs) using regional homogeneity (ReHo) method, and its relationship with behavioral performances. PATIENTS Twenty PACG patients (10 females, 10 males; mean age ± standard deviation [SD]: 54.42±9.46 years) and 20 age-, and sex status-matched NCs (10 females, 10 males; mean age ± SD: 53.75±9.16 years) were included in this study. MEASUREMENTS AND RESULTS Compared with NCs, patients with PACG showed significant atrophic peripapillary retinal nerve fiber layer (pRNFL) and neuroretinal rim area, increased optic disk cup-to-disc ratio (CDR) and optic disk volume (P<0.05), higher ReHo value in the left fusiform gyrus, left cerebellum anterior lobe, right frontal-temporal space, and right insula, and lower ReHo value in the bilateral middle occipital gyrus, left claustrum, and right paracentral lobule lobe. The receiver operating characteristic analysis revealed these different areas with high value of area under curve, and high degree of sensitivity and specificity. The mean beta values of these different areas were extracted. In PACG, the duration of disease showed a negative correlation with the mean beta value of left cerebellum anterior lobe (r=-0.453, P=0.045) and a positive correlation with right middle occipital gyrus (r=0.586, P=0.007); left middle occipital gyrus showed positive correlations with duration of disease (r=0.562, P=0.01) and left pRNFL (r=0.49, P=0.028); left claustrum had a positive correlation with left CDR (r=0.515, P=0.02); and right paracentral lobule lobe demonstrated a positive correlation with left pRNFL (r=0.623, P=0.003). CONCLUSION PACG is involved in abnormal spontaneous brain activity in multiple brain areas, and such changes are associated with clinical performances, which may reflect the underlying pathologic mechanism and play important roles in the initiation and progression of PACG.
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Affiliation(s)
- Wei Chen
- Department of Ophthalmology, Shaoxing People's Hospital, Shaoxing, Zhejiang, People's Republic of China
| | - Li Zhang
- Department of Ophthalmology, Shaoxing People's Hospital, Shaoxing, Zhejiang, People's Republic of China
| | - Yong-Gen Xu
- Department of Ophthalmology, Shaoxing People's Hospital, Shaoxing, Zhejiang, People's Republic of China
| | - Kai Zhu
- Department of Ophthalmology, Shaoxing People's Hospital, Shaoxing, Zhejiang, People's Republic of China
| | - Man Luo
- Department of Ophthalmology, Shaoxing People's Hospital, Shaoxing, Zhejiang, People's Republic of China
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47
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Li C, Dong M, Yin Y, Hua K, Fu S, Jiang G. Abnormal whole-brain functional connectivity in patients with primary insomnia. Neuropsychiatr Dis Treat 2017; 13:427-435. [PMID: 28243094 PMCID: PMC5315348 DOI: 10.2147/ndt.s128811] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
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.
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Affiliation(s)
- Chao Li
- Department of Medical Imaging, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, The Third Clinical Medical College of Southern Medical University, Guangzhou, People's Republic of China
| | - Mengshi Dong
- Department of Medical Imaging, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, The Third Clinical Medical College of Southern Medical University, Guangzhou, People's Republic of China
| | - Yi Yin
- Department of Medical Imaging, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, The Third Clinical Medical College of Southern Medical University, Guangzhou, People's Republic of China
| | - Kelei Hua
- Department of Medical Imaging, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, The Third Clinical Medical College of Southern Medical University, Guangzhou, People's Republic of China
| | - Shishun Fu
- Department of Medical Imaging, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, The Third Clinical Medical College of Southern Medical University, Guangzhou, People's Republic of China
| | - Guihua Jiang
- Department of Medical Imaging, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, The Third Clinical Medical College of Southern Medical University, Guangzhou, People's Republic of China
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48
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Kay DB, Karim HT, Soehner AM, Hasler BP, Wilckens KA, James JA, Aizenstein HJ, Price JC, Rosario BL, Kupfer DJ, Germain A, Hall MH, Franzen PL, Nofzinger EA, Buysse DJ. Sleep-Wake Differences in Relative Regional Cerebral Metabolic Rate for Glucose among Patients with Insomnia Compared with Good Sleepers. Sleep 2016; 39:1779-1794. [PMID: 27568812 PMCID: PMC5020360 DOI: 10.5665/sleep.6154] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Accepted: 05/30/2016] [Indexed: 01/15/2023] Open
Abstract
STUDY OBJECTIVES The neurobiological mechanisms of insomnia may involve altered patterns of activation across sleep-wake states in brain regions associated with cognition, self-referential processes, affect, and sleep-wake promotion. The objective of this study was to compare relative regional cerebral metabolic rate for glucose (rCMRglc) in these brain regions across wake and nonrapid eye movement (NREM) sleep states in patients with primary insomnia (PI) and good sleeper controls (GS). METHODS Participants included 44 PI and 40 GS matched for age (mean = 37 y old, range 21-60), sex, and race. We conducted [18F]fluoro-2-deoxy-D-glucose positron emission tomography scans in PI and GS during both morning wakefulness and NREM sleep at night. Repeated measures analysis of variance was used to test for group (PI vs. GS) by state (wake vs. NREM sleep) interactions in relative rCMRglc. RESULTS Significant group-by-state interactions in relative rCMRglc were found in the precuneus/posterior cingulate cortex, left middle frontal gyrus, left inferior/superior parietal lobules, left lingual/fusiform/occipital gyri, and right lingual gyrus. All clusters were significant at Pcorrected < 0.05. CONCLUSIONS Insomnia was characterized by regional alterations in relative glucose metabolism across NREM sleep and wakefulness. Significant group-by-state interactions in relative rCMRglc suggest that insomnia is associated with impaired disengagement of brain regions involved in cognition (left frontoparietal), self-referential processes (precuneus/posterior cingulate), and affect (left middle frontal, fusiform/lingual gyri) during NREM sleep, or alternatively, to impaired engagement of these regions during wakefulness.
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Affiliation(s)
- Daniel B. Kay
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Helmet T. Karim
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA
| | - Adriane M. Soehner
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Brant P. Hasler
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Kristine A. Wilckens
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Jeffrey A. James
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA
| | - Howard J. Aizenstein
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Julie C. Price
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA
| | - Bedda L. Rosario
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - David J. Kupfer
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Anne Germain
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Martica H. Hall
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Peter L. Franzen
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Eric A. Nofzinger
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Cerêve Inc. Oakmont, PA
| | - Daniel J. Buysse
- Department of Psychiatry, Sleep and Chronobiology Center, University of Pittsburgh School of Medicine, Pittsburgh, PA
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49
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Wang L, Chen Y, Yao Y, Pan Y, Sun Y. Sleep deprivation disturbed regional brain activity in healthy subjects: evidence from a functional magnetic resonance-imaging study. Neuropsychiatr Dis Treat 2016; 12:801-7. [PMID: 27110113 PMCID: PMC4835129 DOI: 10.2147/ndt.s99644] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE The aim of this study was to use amplitude of low-frequency fluctuation (ALFF) to explore regional brain activities in healthy subjects after sleep deprivation (SD). MATERIALS AND METHODS A total of 16 healthy subjects (eight females, eight males) underwent the session twice: once was after normal sleep (NS), and the other was after SD. ALFF was used to assess local brain features. The mean ALFF-signal values of the different brain areas were evaluated to investigate relationships with clinical features and were analyzed with a receiver-operating characteristic curve. RESULTS Compared with NS subjects, SD subjects showed a lower response-accuracy rate, longer response time, and higher lapse rate. Compared with NS subjects, SD subjects showed higher ALFF area in the right cuneus and lower ALFF area in the right lentiform nucleus, right claustrum, left dorsolateral prefrontal cortex, and left inferior parietal cortex. ALFF differences in regional brain areas showed high sensitivity and specificity. In the SD group, mean ALFF of the right claustrum showed a significant positive correlation with accuracy rate (r=0.687, P=0.013) and a negative correlation with lapse rate (r=-0.706, P=0.01). Mean ALFF of the dorsolateral prefrontal cortex showed a significant positive correlation with response time (r=0.675, P=0.016). CONCLUSION SD disturbed the regional brain activity of the default-mode network, its anticorrelated "task-positive" network, and the advanced cognitive function brain areas.
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Affiliation(s)
- Li Wang
- Department of Neurology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, People's Republic of China
| | - Yin Chen
- Department of Neurology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, People's Republic of China
| | - Ying Yao
- Department of Neurology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, People's Republic of China
| | - Yu Pan
- Department of Neurology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, People's Republic of China
| | - Yi Sun
- Department of Neurology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, People's Republic of China
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50
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Li C, Ma X, Dong M, Yin Y, Hua K, Li M, Li C, Zhan W, Li C, Jiang G. Abnormal spontaneous regional brain activity in primary insomnia: a resting-state functional magnetic resonance imaging study. Neuropsychiatr Dis Treat 2016; 12:1371-8. [PMID: 27366068 PMCID: PMC4913992 DOI: 10.2147/ndt.s109633] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE 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. METHODS 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. RESULTS 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. CONCLUSION The present study added information to limited studies on functional specialization and provided evidence for hyperarousal hypothesis in PI.
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Affiliation(s)
- Chao Li
- Department of Medical Imaging, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, The Third Clinical Medical College of Southern Medical University, Guangzhou, People's Republic of China
| | - Xiaofen Ma
- Department of Medical Imaging, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, Guangzhou, People's Republic of China
| | - Mengshi Dong
- Department of Medical Imaging, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, Guangzhou, People's Republic of China
| | - Yi Yin
- Department of Medical Imaging, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, The Third Clinical Medical College of Southern Medical University, Guangzhou, People's Republic of China
| | - Kelei Hua
- Department of Medical Imaging, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, The Third Clinical Medical College of Southern Medical University, Guangzhou, People's Republic of China
| | - Meng Li
- Department of Medical Imaging, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, Guangzhou, People's Republic of China
| | - Changhong Li
- Department of Medical Imaging, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, Guangzhou, People's Republic of China
| | - Wenfeng Zhan
- Department of Medical Imaging, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, Guangzhou, People's Republic of China
| | - Cheng Li
- Department of Medical Imaging, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, Guangzhou, People's Republic of China; Department of Renal Transplantation, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, Guangzhou, People's Republic of China
| | - Guihua Jiang
- Department of Medical Imaging, The Affiliated Guangdong No 2 Provincial People's Hospital of Southern Medical University, Guangzhou, People's Republic of China
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