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Dai K, Liu X, Hu J, Ren F, Jin Z, Xu S, Cao P. Insomnia-related brain functional correlates in first-episode drug-naïve major depressive disorder revealed by resting-state fMRI. Front Neurosci 2024; 18:1290345. [PMID: 39268040 PMCID: PMC11390676 DOI: 10.3389/fnins.2024.1290345] [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: 09/07/2023] [Accepted: 08/19/2024] [Indexed: 09/15/2024] Open
Abstract
Introduction Insomnia is a common comorbidity symptom in major depressive disorder (MDD) patients. Abnormal brain activities have been observed in both MDD and insomnia patients, however, the central pathological mechanisms underlying the co-occurrence of insomnia in MDD patients are still unclear. This study aimed to explore the differences of spontaneous brain activity between MDD patients with and without insomnia, as well as patients with different level of insomnia. Methods A total of 88 first-episode drug-naïve MDD patients including 44 with insomnia (22 with high insomnia and 22 with low insomnia) and 44 without insomnia, as well as 44 healthy controls (HC), were enrolled in this study. The level of depression and insomnia were evaluated by HAMD-17, adjusted HAMD-17 and its sleep disturbance subscale in all subjects. Resting-state functional and structural magnetic resonance imaging data were acquired from all participants and then were preprocessed by the software of DPASF. Regional homogeneity (ReHo) values of brain regions were calculated by the software of REST and were compared. Finally, receiver operating characteristic (ROC) curves were conducted to determine the values of abnormal brain regions for identifying MDD patients with insomnia and evaluating the severity of insomnia. Results Analysis of variance showed that there were significant differences in ReHo values in the left middle frontal gyrus, left pallidum, right superior frontal gyrus, right medial superior frontal gyrus and right rectus gyrus among three groups. Compared with HC, MDD patients with insomnia showed increased ReHo values in the medial superior frontal gyrus, middle frontal gyrus, triangular inferior frontal gyrus, calcarine fissure and right medial superior frontal gyrus, medial orbital superior frontal gyrus, as well as decreased ReHo values in the left middle occipital gyrus, pallidum and right superior temporal gyrus, inferior temporal gyrus, middle cingulate gyrus, hippocampus, putamen. MDD patients without insomnia demonstrated increased ReHo values in the left middle frontal gyrus, orbital middle frontal gyrus, anterior cingulate gyrus and right triangular inferior frontal gyrus, as well as decreased ReHo values in the left rectus gyrus, postcentral gyrus and right rectus gyrus, fusiform gyrus, pallidum. In addition, MDD patients with insomnia had decreased ReHo values in the left insula when compared to those without insomnia. Moreover, MDD patients with high insomnia exhibited increased ReHo values in the right middle temporal gyrus, and decreased ReHo values in the left orbital superior frontal gyrus, lingual gyrus, right inferior parietal gyrus and postcentral gyrus compared to those with low insomnia. ROC analysis demonstrated that impaired brain region might be helpful for identifying MDD patients with insomnia and evaluating the severity of insomnia. Conclusion These findings suggested that MDD patients with insomnia had wider abnormalities of brain activities in the prefrontal-limbic circuits including increased activities in the prefrontal cortex, which might be the compensatory mechanism underlying insomnia in MDD. In addition, decreased activity of left insula might be associated with the occurrence of insomnia in MDD patients and decreased activities of the frontal-parietal network might cause more serious insomnia related to MDD.
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Affiliation(s)
- Ke Dai
- Department of Radiology, Nanjing Brain Hospital, Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xianwei Liu
- Department of Radiology, Nanjing Brain Hospital, Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jun Hu
- Department of Radiology, Nanjing Brain Hospital, Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Fangfang Ren
- Department of Psychiatry, Nanjing Brain Hospital, Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhuma Jin
- Department of Psychiatry, Nanjing Brain Hospital, Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Shulan Xu
- Department of Gerontology, Nanjing Brain Hospital, Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ping Cao
- Department of Radiology, Nanjing Brain Hospital, Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Aquino G, Benz F, Dressle RJ, Gemignani A, Alfì G, Palagini L, Spiegelhalder K, Riemann D, Feige B. Towards the neurobiology of insomnia: A systematic review of neuroimaging studies. Sleep Med Rev 2024; 73:101878. [PMID: 38056381 DOI: 10.1016/j.smrv.2023.101878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 11/03/2023] [Accepted: 11/10/2023] [Indexed: 12/08/2023]
Abstract
Insomnia disorder signifies a major public health concern. The development of neuroimaging techniques has permitted to investigate brain mechanisms at a structural and functional level. The present systematic review aims at shedding light on functional, structural, and metabolic substrates of insomnia disorder by integrating the available published neuroimaging data. The databases PubMed, PsycARTICLES, PsycINFO, CINAHL and Web of Science were searched for case-control studies comparing neuroimaging data from insomnia patients and healthy controls. 85 articles were judged as eligible. For every observed finding of each study, the effect size was calculated from standardised mean differences, statistic parameters and figures, showing a marked heterogeneity that precluded a comprehensive quantitative analysis. From a qualitative point of view, considering the findings of significant group differences in the reported regions across the articles, this review highlights the major involvement of the anterior cingulate cortex, thalamus, insula, precuneus and middle frontal gyrus, thus supporting some central themes in the debate on the neurobiology of and offering interesting insights into the psychophysiology of sleep in this disorder.
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Affiliation(s)
- Giulia Aquino
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine - University of Pisa, Pisa, Italy.
| | - Fee Benz
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Raphael J Dressle
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Angelo Gemignani
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine - University of Pisa, Pisa, Italy
| | - Gaspare Alfì
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine - University of Pisa, Pisa, Italy
| | - Laura Palagini
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Dieter Riemann
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Center for Basics in NeuroModulation (NeuroModulBasics), 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; Center for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, Freiburg, Germany
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3
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Aquino G, Schiel JE. Neuroimaging in insomnia: Review and reconsiderations. J Sleep Res 2023; 32:e14030. [PMID: 37730282 DOI: 10.1111/jsr.14030] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 08/16/2023] [Indexed: 09/22/2023]
Abstract
Over the last decades, neuroimaging has become a substantial component of insomnia research. While theoretical underpinnings of different studies vary just like methodological choices and the experimental design, it is suggested that major features of insomnia disorder rely on the impaired function, structure, metabolism and connectivity of brain areas involved in sleep generation, emotion regulation, self-processing/-awareness and attentional orientation. However, neuroimaging research on insomnia often suffers from small sample sizes, heterogeneous methodology and a lack of replicability. With respect to these issues, the field needs to address the questions: (1a) how sufficiently large sample sizes can be accumulated within a reasonable economic framework; (1b) how effect sizes in insomnia-related paradigms can be amplified; (2a) how a higher degree of standardisation and transparency in methodology can be provided; and (2b) how an adequate amount of flexibility/complexity in study design can be maintained. On condition that methodological consistency and a certain degree of adaptability are given, pooled data/large cohort analyses can be considered to be one way to answer these questions. Regarding experimental single-centre trials, it might be helpful to focus on insomnia-related transdiagnostic concepts. In doing so, expectable effect sizes (in between-subjects designs) can be increased by: (a) comparing groups that are truly distinct regarding the variables examined in a concept-specific paradigm; and (b) facilitated, intensified and precise elicitation of a target symptom.
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Affiliation(s)
- Giulia Aquino
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine - University of Pisa, Pisa, Italy
| | - Julian E Schiel
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
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Shah P, Kaneria A, Fleming G, Williams CRO, Sullivan RM, Lemon CH, Smiley J, Saito M, Wilson DA. Homeostatic NREM sleep and salience network function in adult mice exposed to ethanol during development. Front Neurosci 2023; 17:1267542. [PMID: 38033546 PMCID: PMC10682725 DOI: 10.3389/fnins.2023.1267542] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 10/30/2023] [Indexed: 12/02/2023] Open
Abstract
Developmental exposure to ethanol is a leading cause of cognitive, emotional and behavioral problems, with fetal alcohol spectrum disorder (FASD) affecting more than 1:100 children. Recently, comorbid sleep deficits have been highlighted in these disorders, with sleep repair a potential therapeutic target. Animal models of FASD have shown non-REM (NREM) sleep fragmentation and slow-wave oscillation impairments that predict cognitive performance. Here we use a mouse model of perinatal ethanol exposure to explore whether reduced sleep pressure may contribute to impaired NREM sleep, and compare the function of a brain network reported to be impacted by insomnia-the Salience network-in developmental ethanol-exposed mice with sleep-deprived, saline controls. Mice were exposed to ethanol or saline on postnatal day 7 (P7) and allowed to mature to adulthood for testing. At P90, telemetered cortical recordings were made for assessment of NREM sleep in home cage before and after 4 h of sleep deprivation to assess basal NREM sleep and homeostatic NREM sleep response. To assess Salience network functional connectivity, mice were exposed to the 4 h sleep deprivation period or left alone, then immediately sacrificed for immunohistochemical analysis of c-Fos expression. The results show that developmental ethanol severely impairs both normal rebound NREM sleep and sleep deprivation induced increases in slow-wave activity, consistent with reduced sleep pressure. Furthermore, the Salience network connectome in rested, ethanol-exposed mice was most similar to that of sleep-deprived, saline control mice, suggesting a sleep deprivation-like state of Salience network function after developmental ethanol even without sleep deprivation.
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Affiliation(s)
- Prachi Shah
- Emotional Brain Institute, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY,United States
| | - Aayush Kaneria
- Emotional Brain Institute, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY,United States
| | - Gloria Fleming
- Emotional Brain Institute, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY,United States
| | - Colin R. O. Williams
- Emotional Brain Institute, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY,United States
| | - Regina M. Sullivan
- Emotional Brain Institute, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY,United States
- School of Biological Sciences, University of Oklahoma, Norman, OK, United States
- Department of Child and Adolescent Psychiatry, NYU School of Medicine, New York, NY, United States
| | - Christian H. Lemon
- School of Biological Sciences, University of Oklahoma, Norman, OK, United States
| | - John Smiley
- Division of Neurochemistry, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY,United States
- Department of Psychiatry, New York University Medical Center, New York, NY,United States
| | - Mariko Saito
- Division of Neurochemistry, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY,United States
- Department of Psychiatry, New York University Medical Center, New York, NY,United States
| | - Donald A. Wilson
- Emotional Brain Institute, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY,United States
- School of Biological Sciences, University of Oklahoma, Norman, OK, United States
- Department of Child and Adolescent Psychiatry, NYU School of Medicine, New York, NY, United States
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Kweon W, Lee KH, Choi SH, Shin J, Seo M, Jeon JE, Lee HY, Park C, Kim SY, Kim JW, Chang JH, Lee YJ. Amygdala resting-state functional connectivity alterations in patients with chronic insomnia disorder: correlation with electroencephalography beta power during sleep. Sleep 2023; 46:zsad205. [PMID: 37531589 DOI: 10.1093/sleep/zsad205] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 07/09/2023] [Indexed: 08/04/2023] Open
Abstract
STUDY OBJECTIVES This study investigated alterations in resting-state functional connectivity (RSFC) and hyperarousal biomarkers in patients with chronic insomnia disorder (CID), compared with good sleepers (GS). We also examined the relationships between altered RSFC and hyperarousal biomarkers. METHODS Fifty patients with CID and 52 GS completed self-reporting questionnaires, and then underwent polysomnography and resting-state functional magnetic resonance imaging. We analyzed RSFC in the amygdala (AMG) and anterior insula (aINS), which are core regions of the salience network that are likely to be involved in hyperarousal. We also analyzed electroencephalography (EEG) relative beta power and heart rate variability (HRV) parameters (e.g. low and high frequency) during sleep. We then tested between-group differences in the RSFC and hyperarousal biomarkers; we examined correlations of RSFC with EEG beta power and HRV. RESULTS Compared with GS, patients with CID showed more negative RSFC between the right amygdala (R.AMG) and left supramarginal gyrus (L.SMG), but less positive RSFC between the left aINS and bilateral lateral prefrontal cortex. The R.AMG-L.SMG RSFC was negatively correlated with EEG beta power in central regions (C3: r = -0.336, p = 0.012; C4: r = -0.314, p = 0.024). CONCLUSIONS Decreased RSFC between the R.AMG and L.SMG in patients with insomnia may reflect the difficulty in cortical top-down regulation of the AMG, indicating daytime hyperarousal. Individuals who experience hyperarousal during the daytime may also exhibit cortical hyperarousal during sleep, as indicated by increased EEG beta power.
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Affiliation(s)
- Woojin Kweon
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Kyung Hwa Lee
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry and Center for Sleep and Chronobiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sang Ho Choi
- School of Computer and Information Engineering, Kwangwoon University, Seoul, Republic of Korea
| | - Jiyoon Shin
- Department of Psychiatry and Center for Sleep and Chronobiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Mincheol Seo
- Department of Psychiatry, Veteran Health Service Medical Center, Seoul, Republic of Korea
- Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jeong Eun Jeon
- Department of Psychiatry and Center for Sleep and Chronobiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Ha Young Lee
- Department of Psychiatry and Center for Sleep and Chronobiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Chowon Park
- Department of Psychiatry and Center for Sleep and Chronobiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sun-Young Kim
- Department of Psychiatry, Ewha Womans University College of Medicine, Ewha Womans University Seoul Hospital, Seoul, Republic of Korea
| | - Jong Won Kim
- Department of Healthcare IT, Inje University, Kimhae, Kyunsangnam-do, Republic of Korea
| | - Jun Hyuk Chang
- Department of Computer Science, University of Chicago, Chicago, IL, USA
| | - Yu Jin Lee
- Department of Psychiatry and Center for Sleep and Chronobiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
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Perrier J, Bruijel J, Naveau M, Ramautar J, Delcroix N, Coppens J, Lakbila‐Kamal O, Stoffers D, Bessot N, Van Someren EJW. Functional connectivity correlates of attentional networks in insomnia disorder: A pilot study. J Sleep Res 2022; 32:e13796. [PMID: 36436510 DOI: 10.1111/jsr.13796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 10/29/2022] [Accepted: 11/10/2022] [Indexed: 11/29/2022]
Abstract
Insomnia disorder has been associated with poor executive functioning. Functional imaging studies of executive functioning in insomnia are scarce and inconclusive. Because the Attentional Network Test relies on well-defined cortical networks and sensitively distinguishes different aspects of executive function, it might reveal brain functional alterations in relatively small samples of patients. The current pilot study assessed functional connectivity during the Attentional Network Test performed using magnetic resonance imaging in 12 participants with insomnia and 13 self-defined good sleepers. ANCOVAs were used to evaluate group differences in performance and functional connectivity in the regions of interest representing the attentional networks (i.e. alerting, orienting and executive control) at p < 0.05, uncorrected. During the orienting part, participants with insomnia showed weaker connectivity of the precentral gyrus with the superior parietal lobe (false discovery rate-corrected), while they showed stronger connectivity between premotor and visual regions. Individual differences in connectivity between premotor and visual regions correlated inversely with reaction time. Reaction times suggested more efficient executive control in participants with insomnia compared with good sleepers. During the executive control part, participants with insomnia showed stronger connectivity of thalamic parts of the arousal circuit with the middle frontal and the occipital gyri. Conversely, connectivity between the inferior and superior frontal gyri was weaker. Participants with insomnia seem to recruit more cortical resources in visuo-motor regions to orient attention than good sleepers do, and seem to have enhanced executive control that relates to stronger connectivity of arousal-related thalamic areas. This latter result should be treated with caution and requires confirmation.
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Affiliation(s)
- Joy Perrier
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience Institute of the Royal Netherlands Academy of Arts and Sciences Amsterdam The Netherlands
- Normandie Univ, UNICAEN, INSERM, COMETE Caen France
| | - Jessica Bruijel
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience Institute of the Royal Netherlands Academy of Arts and Sciences Amsterdam The Netherlands
- Department of Neuropsychology & Psychopharmacology, Faculty of Psychology and Neuroscience Maastricht University Maastricht The Netherlands
| | - Mikaël Naveau
- UMS 3408 Cyceron, CNRS Caen Normandy University, GIP CYCERON Caen France
| | - Jennifer Ramautar
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience Institute of the Royal Netherlands Academy of Arts and Sciences Amsterdam The Netherlands
| | - Nicolas Delcroix
- UMS 3408 Cyceron, CNRS Caen Normandy University, GIP CYCERON Caen France
| | - Joris Coppens
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience Institute of the Royal Netherlands Academy of Arts and Sciences Amsterdam The Netherlands
| | - Oti Lakbila‐Kamal
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience Institute of the Royal Netherlands Academy of Arts and Sciences Amsterdam The Netherlands
| | - Diederick Stoffers
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience Institute of the Royal Netherlands Academy of Arts and Sciences Amsterdam The Netherlands
| | | | - Eus J. W. Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience Institute of the Royal Netherlands Academy of Arts and Sciences Amsterdam The Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience VU University Amsterdam Amsterdam The Netherlands
- Department of Psychiatry, Amsterdam UMC, Amsterdam Neuroscience VU University Amsterdam Amsterdam The Netherlands
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Wang Y, Li M, Li W, Xiao L, Huo X, Ding J, Sun T. Is the insula linked to sleep? A systematic review and narrative synthesis. Heliyon 2022; 8:e11406. [DOI: 10.1016/j.heliyon.2022.e11406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 10/12/2022] [Accepted: 10/31/2022] [Indexed: 11/08/2022] Open
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Wang Y, Yang X, Xiao L, Li W, Huo X, Wang C, Li M, Sun T. Altered anterior insula-superior frontal gyrus functional connectivity is correlated with cognitive impairment following total sleep deprivation. Biochem Biophys Res Commun 2022; 624:47-52. [DOI: 10.1016/j.bbrc.2022.07.078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 07/15/2022] [Accepted: 07/19/2022] [Indexed: 11/29/2022]
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9
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Liu QY, Pan YC, Shu HY, Zhang LJ, Li QY, Ge QM, Shao Y, Zhou Q. Brain Activity in Age-Related Macular Degeneration Patients From the Perspective of Regional Homogeneity: A Resting-State Functional Magnetic Resonance Imaging Study. Front Aging Neurosci 2022; 14:865430. [PMID: 35615597 PMCID: PMC9124803 DOI: 10.3389/fnagi.2022.865430] [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: 01/29/2022] [Accepted: 03/30/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveIn this study, the regional homogeneity (ReHo) method was used to investigate levels of cerebral homogeneity in individuals with age-related macular degeneration (AMD), with the aim of exploring whether these measures are associated with clinical characteristics.Materials and MethodsPatients with AMD and healthy controls attending the First Affiliated Hospital of Nanchang University were invited to participate. Resting state functional magnetic resonance images were recorded in each participant and levels of synchronous neural activity were evaluated using ReHo. Receiver operating characteristic (ROC) curves were used to evaluate the sensitivity and specificity of this method.ResultsEighteen patients with AMD (9 males and 9 females) and 15 healthy controls (HCs) were recruited. The two groups were approximately matched in age, gender and weight. Compared with controls, the ReHo values were significantly higher in the AMD group at the limbic lobe and parahippocampal gyrus, and were significantly reduced at the cingulate gyrus, superior frontal gyrus, middle frontal gyrus, inferior parietal lobule, and precentral gyrus. Mean ReHo values at the cingulate gyrus and the superior frontal gyrus were negatively correlated with clinical symptoms.ConclusionBrain neural homogeneity dysfunction is a manifestation of visual pathways in AMD patients, and may be one of the pathological mechanisms of chronic vision loss, anxiety and depression in AMD patients. In addition, the ReHo data may be useful for early screening for AMD.
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Zhang T, Xie X, Li Q, Zhang L, Chen Y, Ji GJ, Hou Q, Li T, Zhu C, Tian Y, Wang K. Hypogyrification in Generalized Anxiety Disorder and Associated with Insomnia Symptoms. Nat Sci Sleep 2022; 14:1009-1019. [PMID: 35642211 PMCID: PMC9148579 DOI: 10.2147/nss.s358763] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 05/03/2022] [Indexed: 01/04/2023] Open
Abstract
PURPOSE Insomnia is a recognized feature of generalized anxiety disorder (GAD). The underlying neural substrate of insomnia in GAD is still unclear. Cortical folding is a reliable index and possibly an endophenotype of psychiatric disease. The aim of this study was to explore whether the aberrant cortical morphology was associated with insomnia in GAD. PATIENTS AND METHODS We enrolled 73 patients with GAD and 74 matched healthy controls (HCs) to undergo neuropsychiatric assessment and 3.0 T magnetic resonance imaging scanning. Neuropsychiatric batteries included the 14-item Hamilton Anxiety Rating Scale (HAMA) and the Insomnia Severity Index (ISI). Using FreeSurfer7.1.1, we calculated local gyrification index, cortical thickness and surface area and identified group differences in these parameters. Then, we calculated the functional connectivity of these identified regions and determined functional alterations. The relationship between these neuroimaging indicators and clinical measurement was explored. RESULTS Compared with HCs, the LGI in the bilateral orbitofrontal cortex (OFC), bilateral insula, left middle frontal gyrus, left temporal pole, and left fusiform area was significantly decreased in GAD. GAD patients had concurrent decreased surface area in the left OFC and thicker right OFC. GAD patients also exhibited increased functional connectivity between the left insula and frontoparietal control network. In addition, a negative relationship was observed between decreased LGI in these limbic regions and ISI score. CONCLUSION GAD patients presented aberrant cortical folding in limbic network. Cortical morphology is a potential endophenotype in GAD, corresponding to an insomnia phenotype.
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Affiliation(s)
- Ting Zhang
- Department of Psychiatry, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, People's Republic of China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, People's Republic of China
| | - Xiaohui Xie
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, People's Republic of China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, People's Republic of China.,Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China
| | - Qianqian Li
- Department of Psychiatry, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, People's Republic of China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, People's Republic of China
| | - Lei Zhang
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, People's Republic of China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, People's Republic of China.,School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, People's Republic of China.,Department of Psychiatry, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China
| | - Yue Chen
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, People's Republic of China.,Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China
| | - Gong-Jun Ji
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, People's Republic of China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, People's Republic of China.,School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, People's Republic of China
| | - Qiangqiang Hou
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, People's Republic of China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, People's Republic of China.,Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China
| | - Tianxia Li
- Anhui Mental Health Center, Hefei, Anhui Province, People's Republic of China
| | - Chunyan Zhu
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, People's Republic of China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, People's Republic of China.,School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, People's Republic of China.,Department of Psychiatry, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China
| | - Yanghua Tian
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.,Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, People's Republic of China
| | - Kai Wang
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, People's Republic of China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, People's Republic of China.,Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China.,School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, People's Republic of China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, People's Republic of China
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Capezuti E, Pain K, Alamag E, Chen X, Philibert V, Krieger AC. Systematic review: auditory stimulation and sleep. J Clin Sleep Med 2021; 18:1697-1709. [PMID: 34964434 DOI: 10.5664/jcsm.9860] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES Auditory stimulation devices (white and pink noise) are used to mask sounds and facilitate relaxation and sleep; however, the effectiveness of this intervention is not well established. This systematic review examined the scientific literature for the effect of specific types of auditory stimulation on sleep outcomes in adults. METHODS The PRISMA Statement guided this review. Searches were conducted in nine databases for intervention studies that could easily be employed in clinical practice. We excluded other types of auditory stimulation (music alone, binaural tones, and synchronization). Two reviewers screened abstracts and full-text articles for eligibility, with conflicts resolved by a third reviewer, and extracted data. Risk of bias was assessed with the Effective Public Health Practice Project Quality Assessment Tool for Quantitative Studies. RESULTS 34 studies reported results of 1,103 persons participating in three categories of interventions: white noise (18), pink noise (11), and six multi-audio (some combination of white, pink, music, or silence). Nineteen studies had positive findings in terms of improving sleep outcomes: 6 white noise (33%), 9 pink noise (81.9%), and 4 multi-audio (66.7%). Multi-audio had the lowest (better) risk of bias (mean/SD: 1.67/0.82) compared to white (2.38/0.69) and pink noise (2.36/0.81). CONCLUSIONS Although there was no strong evidence to support use of auditory stimulation, none of the studies reported any adverse effects with short-term application of auditory stimulation during sleep. Future research needs to include confounding factors that can affect outcomes, including one's noise sensitivity, personality, and other conditions or medications that may affect sleep.
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Affiliation(s)
| | | | - Evelyn Alamag
- Hunter College of the City University of New York, New York, NY
| | - XinQing Chen
- Hunter College of the City University of New York, New York, NY
| | | | - Ana C Krieger
- Departments of Medicine, Neurology and Genetic Medicine, Weill Cornell Medical College
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12
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Abnormal functional connectivity of the salience network in insomnia. Brain Imaging Behav 2021; 16:930-938. [PMID: 34686967 DOI: 10.1007/s11682-021-00567-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/25/2021] [Indexed: 10/20/2022]
Abstract
The salience network plays an important role in detecting stimuli related to behavior and integrating neural processes. The aim of this study was to investigate changes in functional connectivity of the salience network in insomnia patients. Independent component analysis combined with a dual regression approach was used to examine functional connectivity differences in the salience network between patients with insomnia (n = 33) and healthy controls (n = 33). Pearson correlation analysis was used to analyze the relationship between differences in functional connectivity and the clinical characteristics of insomnia patients. Compared to healthy controls, insomnia patients showed increased functional connectivity in the dorsal anterior cingulate cortex within the salience network, as well as greater connectivity between the salience network and other brain regions including the dorsolateral prefrontal cortex, superior frontal gyrus, sensorimotor area and brain stem. The correlation analysis showed that increased functional connectivity between the salience network and left dorsolateral prefrontal cortex was positively correlated with Pittsburgh Sleep Quality Index score. Increased functional connectivity between salience network and several brain regions may be related to hyperarousal in insomnia patients. The connectivity between salience network and dorsolateral prefrontal cortex may potentially be used as a neuroimaging biomarker of sleep quality.
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13
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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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14
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Shi K, Pang X, Wang Y, Li C, Long Q, Zheng J. Altered interhemispheric functional homotopy and connectivity in temporal lobe epilepsy based on fMRI and multivariate pattern analysis. Neuroradiology 2021; 63:1873-1882. [PMID: 33938990 DOI: 10.1007/s00234-021-02706-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 03/29/2021] [Indexed: 01/25/2023]
Abstract
PURPOSE This study aimed to investigate how the functional homotopy and further functional connectivity (FC) of whole brain changed in temporal lobe epilepsy (TLE). We also evaluated which brain regions played a decisive role in classification by using functional magnetic resonance imaging (fMRI). METHODS Patients with TLE and matched healthy controls were included to collect the fMRI data and perform the voxel-mirrored homotopic connectivity (VMHC) and FC analyses. The correlation between the changed functional homotopy and neuropsychology tests was examined. Based on VMHC, the weight of each region in the classification was obtained using multivariate pattern analysis (MVPA). RESULTS The patients exhibited decreased functional coordination in the bilateral inferior temporal gyrus (ITG) and increased functional homotopy in the bilateral lingual gyrus compared with the control group in the VMHC analysis. Compared with healthy controls, the Montreal Cognitive Assessment score was lower, and the scores of Hamilton Anxiety (HAMA) and Hamilton Depression Scales were higher. The score of the HAMA Scale was positively correlated with the altered bilateral ITG. The FC analysis revealed increased connections between the right lingual gyrus and the left superior temporal gyrus/left insula. The MVPA showed that the accuracy, sensitivity, and specificity of classification were 68.49, 66.67 and 70.27%, respectively, and it confirmed that the temporal lobe, cerebellum, and parietal lobe provided significant contributions. CONCLUSION These findings demonstrated that the VMHC and FC changed in TLE, and the alterations were correlated with the anxiety state. The MVPA indicated that the abnormal VMHC was a crucial fMRI feature.
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Affiliation(s)
- Ke Shi
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xiaomin Pang
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yiling Wang
- Department of Radiology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Chunyan Li
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Qijia Long
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jinou Zheng
- Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
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15
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Chou KH, Lee PL, Liang CS, Lee JT, Kao HW, Tsai CL, Lin GY, Lin YK, Lin CP, Yang FC. Identifying neuroanatomical signatures in insomnia and migraine comorbidity. Sleep 2021; 44:5911972. [PMID: 32979047 DOI: 10.1093/sleep/zsaa202] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 08/26/2020] [Indexed: 01/03/2023] Open
Abstract
STUDY OBJECTIVES While insomnia and migraine are often comorbid, the shared and distinct neuroanatomical substrates underlying these disorders and the brain structures associated with the comorbidity are unknown. We aimed to identify patterns of neuroanatomical substrate alterations associated with migraine and insomnia comorbidity. METHODS High-resolution T1-weighted images were acquired from subjects with insomnia, migraine, and comorbid migraine and insomnia, respectively, and healthy controls (HC). Direct group comparisons with HC followed by conjunction analyses identified shared regional gray matter volume (GMV) alterations between the disorders. To further examine large-scale anatomical network changes, a seed-based structural covariance network (SCN) analysis was applied. Conjunction analyses also identified common SCN alterations in two disease groups, and we further evaluated these shared regional and global neuroanatomical signatures in the comorbid group. RESULTS Compared with controls, patients with migraine and insomnia showed GMV changes in the cerebellum and the lingual, precentral, and postcentral gyri (PCG). The bilateral PCG were common GMV alteration sites in both groups, with decreased structural covariance integrity observed in the cerebellum. In patients with comorbid migraine and insomnia, shared regional GMV and global SCN changes were consistently observed. The GMV of the right PCG also correlated with sleep quality in these patients. CONCLUSION These findings highlight the specific role of the PCG in the shared pathophysiology of insomnia and migraine from a regional and global brain network perspective. These multilevel neuroanatomical changes could be used as potential image markers to decipher the comorbidity of the two disorders.
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Affiliation(s)
- Kun-Hsien Chou
- Brain Research Center, National Yang-Ming University, Taipei, Taiwan.,Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan
| | - Pei-Lin Lee
- Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan
| | - Chih-Sung Liang
- Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Jiunn-Tay Lee
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.,Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan
| | - Hung-Wen Kao
- Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Chia-Lin Tsai
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Guan-Yu Lin
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Yu-Kai Lin
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.,Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan
| | - Ching-Po Lin
- Brain Research Center, National Yang-Ming University, Taipei, Taiwan.,Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan.,Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan
| | - Fu-Chi Yang
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
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16
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Li X, Wang F, Liu X, Cao D, Cai L, Jiang X, Yang X, Yang T, Asakawa T. Changes in Brain Function Networks in Patients With Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study. Front Neurol 2020; 11:554032. [PMID: 33101173 PMCID: PMC7554345 DOI: 10.3389/fneur.2020.554032] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 09/02/2020] [Indexed: 12/12/2022] Open
Abstract
Patients with amnestic mild cognitive impairment (aMCI) are at high risk of developing dementia. This study used resting-state functional magnetic resonance imaging (rs-fMRI) and an independent component analysis (ICA) approach to explore changes in functional connectivity (FC) in the default mode network (DMN), executive control network (ECN), and salience network (SN). Thirty patients with aMCI and 30 healthy controls (HCs) were enrolled. All the participants underwent an rs-fMRI scan. The brain FC in DMN, ECN, and SN was calculated using the ICA approach. We found that the FC of brain regions in DMN decreased significantly and that of brain regions in ECN increased, which was in accordance with the findings of previous studies on Alzheimer's disease (AD) and aMCI. We also found that the FC of brain regions in SN increased, which was different from the findings of previous studies on AD. The increase in FC in brain regions in SN might result from different pathophysiological states in AD and aMCI, indicating that a decrease in FC in SN does not occur in a person with aMCI. These results are consistent with those of previous studies using the voxel-mirrored homotopic connectivity approach and seed-based correlation analysis. We therefore considered that the decrease in FC in DMN and the increase in FC in ECN and SN might be peculiar patterns observed on the rs-fMRI of a person with aMCI. These findings may contribute to the development of imaging biomarkers for the diagnosis of aMCI.
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Affiliation(s)
- Xiaoling Li
- First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Feng Wang
- First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China
- Division of CT and MRI, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Xiaohui Liu
- Division of CT and MRI, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Danna Cao
- First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China
- Division of CT and MRI, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Lina Cai
- Division of CT and MRI, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Xiaoxu Jiang
- Division of CT and MRI, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Xu Yang
- Division of CT and MRI, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Tiansong Yang
- First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Tetsuya Asakawa
- Department of Neurosurgery, Hamamatsu University School of Medicine, Hamamatsu, Japan
- Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou, China
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17
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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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18
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Zabrecky G, Shahrampour S, Whitely C, Alizadeh M, Conklin C, Wintering N, Doghramji K, Zhan T, Mohamed F, Newberg A, Monti D. An fMRI Study of the Effects of Vibroacoustic Stimulation on Functional Connectivity in Patients with Insomnia. SLEEP DISORDERS 2020; 2020:7846914. [PMID: 32089894 PMCID: PMC7024098 DOI: 10.1155/2020/7846914] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 01/23/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND It is well known that vibratory and auditory stimuli from vehicles such as cars and trains can help induce sleep. More recent literature suggests that specific types of vibratory and acoustic stimulation might help promote sleep, but this has not been tested with neuroimaging. Thus, the purpose of this study was to observe the effects of vibroacoustic stimulation (providing both vibratory and auditory stimuli) on functional connectivity changes in the brain using resting state functional magnetic resonance imaging (rs-fMRI), and compare these changes to improvements in sleep in patients with insomnia. METHODS For this study, 30 patients with insomnia were randomly assigned to receive one month of a vibroacoustic stimulation or be placed in a waitlist control. Patients were evaluated pre- and postprogram with qualitative sleep questionnaires and measurement of sleep duration with an actigraphy watch. In addition, patients underwent rs-fMRI to assess functional connectivity. RESULTS The results demonstrated that those patients receiving the vibroacoustic stimulation had significant improvements in measured sleep minutes as well as in scores on the Insomnia Severity Index questionnaire. In addition, significant changes were noted in functional connectivity in association with the vermis, cerebellar hemispheres, thalamus, sensorimotor area, nucleus accumbens, and prefrontal cortex. CONCLUSIONS The results of this study show that vibroacoustic stimulation alters the brain's functional connectivity as well as improves sleep in patients with insomnia.
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Affiliation(s)
- George Zabrecky
- Department of Integrative Medicine and Nutritional Sciences, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Shiva Shahrampour
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Cutler Whitely
- Department of Integrative Medicine and Nutritional Sciences, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Mahdi Alizadeh
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Chris Conklin
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Nancy Wintering
- Department of Integrative Medicine and Nutritional Sciences, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Karl Doghramji
- Sleep Disorders Center, Department of Psychiatry and Human Behavior, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Tingting Zhan
- Department of Biostatistics, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Feroze Mohamed
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Andrew Newberg
- Department of Integrative Medicine and Nutritional Sciences, Thomas Jefferson University, Philadelphia, PA 19107, USA
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Daniel Monti
- Department of Integrative Medicine and Nutritional Sciences, Thomas Jefferson University, Philadelphia, PA 19107, USA
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19
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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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20
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Effect-size seed-based d mapping of resting-state fMRI for persistent insomnia disorder. Sleep Breath 2019; 24:653-659. [DOI: 10.1007/s11325-019-02001-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 12/05/2019] [Accepted: 12/16/2019] [Indexed: 12/11/2022]
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21
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Zhang Z, Zhou X, Liu J, Qin L, Ye W, Zheng J. Aberrant executive control networks and default mode network in patients with right-sided temporal lobe epilepsy: a functional and effective connectivity study. Int J Neurosci 2019; 130:683-693. [PMID: 31851554 DOI: 10.1080/00207454.2019.1702545] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Objective: We aimed to explore functional connectivity (FC) and effective connectivity (EC) of the executive control networks (ECNs) and the default mode network (DMN) in patients with right-sided TLE (rTLE) by applying independent component analysis (ICA) and Granger causal analysis (GCA).Methods: Twenty-seven patients with rTLE and 20 healthy controls (HCs) matched for age, gender underwent resting-state functional magnetic resonance imaging and Attention Network Test (ANT).Results: The FC analysis showed compared to HCs, patients with rTLE demonstrated reduced FC strength in the right inferior parietal gyrus (IPG) and the right middle temporal gyrus (MTG). The left superior temporal gyrus (STG) displayed reduced FC values whereas the left thalamus revealed increased FC values in rTLE. ROI-wise GCA revealed that patients with rTLE displayed increased EC from the left thalamus to the left STG, and as well as enhanced EC from the right IPG to the right MTG compared to HCs. Voxel-wise GCA showed positive EC from the left thalamus to the left insula while the right middle occipital gyrus (MOG) exhibited increased EC to the right MTG in patients. The ANT results demonstrated executive dysfunction in patients compared to HCs. The increased FC in the left thalamus showed a negative association with ECF in patients.Conclusion: We speculated that recurrent seizures take effect on disruption among the brain networks, and self-modulation occurs simultaneously to compensate for cognitive decline. Our findings revealed new insights on the neuropathophysiological mechanisms of rTLE.
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Affiliation(s)
- Zhao Zhang
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xia Zhou
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jinping Liu
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Lu Qin
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Wei Ye
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jinou Zheng
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
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22
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Li C, Mai Y, Dong M, Yin Y, Hua K, Fu S, Wu Y, Jiang G. Multivariate Pattern Classification of Primary Insomnia Using Three Types of Functional Connectivity Features. Front Neurol 2019; 10:1037. [PMID: 31632335 PMCID: PMC6783513 DOI: 10.3389/fneur.2019.01037] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 09/12/2019] [Indexed: 01/09/2023] Open
Abstract
Objective: To explore whether or not functional connectivity (FC) could be used as a potential biomarker for classification of primary insomnia (PI) at the individual level by using multivariate pattern analysis (MVPA). Methods: Thirty-eight drug-naive patients with PI, and 44 healthy controls (HC) underwent resting-state functional MR imaging. Voxel-wise functional connectivity strength (FCS), large-scale functional connectivity (large-scale FC) and regional homogeneity (ReHo) were calculated for each participant. We used support vector machine (SVM) with the three types of metrics as features separately to classify patients from healthy controls. Then we evaluated its classification performances. Finally, FC metrics with significant high classification performance were compared between the two groups and were correlated with clinical characteristics, i.e., Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS) in the patients' group. Results: The best classifier could reach up to an accuracy of 81.5%, with a sensitivity of 84.9%, specificity of 79.1%, and area under the receiver operating characteristic curve (AUC) of 83.0% (all P < 0.001). Right anterior insular cortex (BA48), left precuneus (BA7), and left middle frontal gyrus (BA8) showed high classification weights. In addition, the right anterior insular cortex (BA48) and left middle frontal gyrus (BA8) were the overlapping regions between MVPA and group comparison. Correlation analysis showed that FCS in left middle frontal gyrus and head of right caudate nucleus were correlated with PSQI and SDS, respectively. Conclusion: The current study suggests abnormal FCS in right anterior insular cortex (BA48) and left middle frontal gyrus (BA8) might serve as a potential neuromarkers for PI.
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Affiliation(s)
- Chao Li
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Yuanqi Mai
- Maoming People's Hospital, Guangdong, China
| | - Mengshi Dong
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Yi Yin
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Kelei Hua
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Shishun Fu
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Yunfan Wu
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Guihua Jiang
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
- Department of Medical Imaging, The Affiliated Guangdong Second Provincial General Hospital of Southern Medical University, Guangzhou, China
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23
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Xu MW, Liu HM, Tan G, Su T, Xiang CQ, Wu W, Li B, Lin Q, Xu XW, Min YL, Liu WF, Gao GP, Shao Y. Altered Regional Homogeneity in Patients With Corneal Ulcer: A Resting-State Functional MRI Study. Front Neurosci 2019; 13:743. [PMID: 31396034 PMCID: PMC6664059 DOI: 10.3389/fnins.2019.00743] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 07/05/2019] [Indexed: 12/30/2022] Open
Abstract
Objective To investigate the potential regional homogeneity (ReHo) brain activity changes in patients with corneal ulcer (CU) and their possible relationship with clinical symptoms. Materials and Methods Forty patients with CU (26 men and 14 women), and 40 healthy controls (HCs) (26 men and 14 women) closely matched in age, sex, and weight underwent resting-state functional MRI scans, respectively. The ReHo method was applied to evaluate synchronous neural activity changes. Receiver operating characteristic curve (ROC curve) was used to show high test-retest stability and high degree of sensitivity and specificity. We utilized the correlation analysis to calculate the relationship between the average ReHo signal values in different brain areas and the clinical symptoms in CU patients. Results Compared with the HCs, CU patients had significantly increased ReHo values in right cerebellum posterior lobe, left cerebellum posterior lobe, left inferior temporal gyrus, right lingual gyrus, left middle frontal gyrus, left angular gyrus, left cingulate gyrus, right angular gyrus and bilateral superior frontal gyrus, and decreased ReHo values in right anterior cingulate and left precentral gyrus. ROC curve analysis of each brain regions showed the accuracy of AUC was perfect except the right cerebellum posterior lobe. Nevertheless, there was no clear evidence of prominent relevance between the average ReHo values in brain areas and the clinical symptoms. Conclusion Corneal ulcer caused dysfunctional adaption in different brain areas, which including relatively increased values and decreased values. This finding may help us take a further step in exploring the underlying pathologic mechanisms of CU.
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Affiliation(s)
- Man-Wei Xu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, China
| | - Hui-Min Liu
- Department of Ophthalmology, University of South China, Hengyang, China
| | - Gang Tan
- Department of Ophthalmology, University of South China, Hengyang, China
| | - Ting Su
- Eye Institute of Xiamen University, Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Xiamen, China
| | - Chu-Qi Xiang
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, China
| | - Wei Wu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, China
| | - Biao Li
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, China
| | - Qi Lin
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, China
| | - Xiao-Wei Xu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, China
| | - You-Lan Min
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, China
| | - Wen-Feng Liu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, China
| | - Gui-Ping Gao
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, China
| | - Yi Shao
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, China
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Song P, Lin H, Li S, Wang L, Liu J, Li N, Wang Y. Repetitive transcranial magnetic stimulation (rTMS) modulates time-varying electroencephalography (EEG) network in primary insomnia patients: a TMS-EEG study. Sleep Med 2019; 56:157-163. [DOI: 10.1016/j.sleep.2019.01.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 12/04/2018] [Accepted: 01/07/2019] [Indexed: 12/11/2022]
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