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Juvodden HT, Alnæs D, Agartz I, Andreassen OA, Server A, Thorsby PM, Westlye LT, Knudsen-Heier S. Cortical thickness and sub-cortical volumes in post-H1N1 narcolepsy type 1: A brain-wide MRI case-control study. Sleep Med 2024; 116:81-89. [PMID: 38432031 DOI: 10.1016/j.sleep.2024.02.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 02/16/2024] [Accepted: 02/16/2024] [Indexed: 03/05/2024]
Abstract
OBJECTIVE There was more than a 10-fold increase in the incidence of narcolepsy type 1 (NT1) after the H1N1 mass vaccination in 2009/2010 in several countries. NT1 is associated with loss and increase of cell groups in the hypothalamus which may be associated with secondary affected sub-cortical and cortical gray matter. We performed a case-control comparison of MRI-based global and sub-cortical volume and cortical thickness in post-H1N1 NT1 patients compared with controls. METHODS We included 54 post-H1N1 NT1 patients (51 with confirmed hypocretin-deficiency; 48 H1N1-vaccinated with Pandemrix®; 39 females, mean age 21.8 ± 11.0 years) and 114 healthy controls (77 females, mean age 23.2 ± 9.0 years). 3T MRI brain scans were obtained, and the T1-weighted MRI data were processed using FreeSurfer. Group differences among three global, 10 sub-cortical volume measures and 34 cortical thickness measures for bilateral brain regions were tested using general linear models with permutation testing. RESULTS Patients had significantly thinner brain cortex bilaterally in the temporal poles (Cohen's d = 0.68, p = 0.00080), entorhinal cortex (d = 0.60, p = 0.0018) and superior temporal gyrus (d = 0.60, p = 0.0020) compared to healthy controls. The analysis revealed no significant group differences for sub-cortical volumes. CONCLUSIONS Post-H1N1(largely Pandemrix®-vaccinated) NT1 patients have significantly thinner cortex in temporal brain regions compared to controls. We speculate that this effect can be partly attributed to the hypothalamic neuronal change in NT1, including loss of function of the widely projecting hypocretin-producing neurons and secondary effects of the abnormal sleep-wake pattern in NT1 or could be specific for post-H1N1 (largely Pandemrix®-vaccinated) NT1 patients.
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Affiliation(s)
- Hilde T Juvodden
- Norwegian Centre of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Department of Rare Disorders, Oslo University Hospital, Ullevål, Norway.
| | - Dag Alnæs
- NORMENT Centre, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Norway
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway; K.G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Norway
| | - Ole A Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Norway; K.G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Norway
| | - Andres Server
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Per M Thorsby
- Hormone Laboratory, Department of Medical Biochemistry, Biochemical Endocrinology and Metabolism Research Group, Oslo University Hospital, Aker, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lars T Westlye
- NORMENT Centre, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Norway; K.G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway
| | - Stine Knudsen-Heier
- Norwegian Centre of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Department of Rare Disorders, Oslo University Hospital, Ullevål, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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Valizadeh P, Momtazmanesh S, Plazzi G, Rezaei N. Connecting the dots: An updated review of the role of autoimmunity in narcolepsy and emerging immunotherapeutic approaches. Sleep Med 2024; 113:378-396. [PMID: 38128432 DOI: 10.1016/j.sleep.2023.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 12/08/2023] [Accepted: 12/09/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Narcolepsy type 1 (NT1) is a chronic disorder characterized by pathological daytime sleepiness and cataplexy due to the disappearance of orexin immunoreactive neurons in the hypothalamus. Genetic and environmental factors point towards a potential role for inflammation and autoimmunity in the pathogenesis of the disease. This study aims to comprehensively review the latest evidence on the autoinflammatory mechanisms and immunomodulatory treatments aimed at suspected autoimmune pathways in NT1. METHODS Recent relevant literature in the field of narcolepsy, its autoimmune hypothesis, and purposed immunomodulatory treatments were reviewed. RESULTS Narcolepsy is strongly linked to specific HLA alleles and T-cell receptor polymorphisms. Furthermore, animal studies and autopsies have found infiltration of T cells in the hypothalamus, supporting T cell-mediated immunity. However, the role of autoantibodies has yet to be definitively established. Increased risk of NT1 after H1N1 infection and vaccination supports the autoimmune hypothesis, and the potential role of coronavirus disease 2019 and vaccination in triggering autoimmune neurodegeneration is a recent finding. Alterations in cytokine levels, gut microbiota, and microglial activation indicate a potential role for inflammation in the disease's development. Reports of using immunotherapies in NT1 patients are limited and inconsistent. Early treatment with IVIg, corticosteroids, plasmapheresis, and monoclonal antibodies has seldomly shown some potential benefits in some studies. CONCLUSION The current body of literature supports that narcolepsy is an autoimmune disorder most likely caused by T-cell involvement. However, the potential for immunomodulatory treatments to reverse the autoinflammatory process remains understudied. Further clinical controlled trials may provide valuable insights into this area.
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Affiliation(s)
- Parya Valizadeh
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Sara Momtazmanesh
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Giuseppe Plazzi
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Bologna, Italy; Department of Biomedical, Metabolic, and Neural Sciences, Università Degli Studi di Modena e Reggio Emilia, Modena, Italy
| | - Nima Rezaei
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran; Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
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Nitu NS, Sultana SZ, Haq A, Sumi SA, Bose SK, Sinha S, Kumar S, Haque M. Histological Study on the Thickness of Gray Matter at the Summit and Bottom of Folium in Different Age Groups of Bangladeshi People. Cureus 2023; 15:e42103. [PMID: 37476298 PMCID: PMC10354462 DOI: 10.7759/cureus.42103] [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] [Accepted: 07/18/2023] [Indexed: 07/22/2023] Open
Abstract
Context The cerebellum is a part of the hindbrain and consists of cortical gray matter (GM) at the surface and a medullary core of white matter (WM). The GM contains a cell body of neurons that helps process and transmit any command type through nerve fibers found in the WM. The main functions of GM in the central nervous system empower persons to control motor activity, recollection, and passion. So, this research aims to assess the thickness of GM at the summit and bottom of folia by histologically studying the cerebellum cortex. Methods The collection of data was a descriptive type of cross-sectional study. The method was the purposive type. This study was conducted from August 2016 to March 2017, and the research was carried out at Mymensingh Medical College's Department of Anatomy, Bangladesh. Specimens containing cerebellum were preserved from Bangladeshi cadavers according to sexes and ages ranging in years. We chose fresh specimens from people who died within the last 12 hours and preserved them in 10% formol saline. The size of the tissue that was collected for the histological study was not more than 2 cm2 and not more than 4-5 mm thick. Then the tissue was placed in 10% formol saline. This fluid was used for quick fixation and partial dehydration of the tissue. After dehydration, each tissue segment is processed for infiltration and embedding separately. Every section was stained with hematoxylin and eosin stain (H&E) before being coated with dibutyl phthalate polystyrene xylene (DPX) coverslips on slides. Result The mean (±SD) thickness of GM at the summit of folium was 886.2±29.7µm in Group A, 925.2±25.9µm in Group B, 912.7±22.3µm in Group C, and 839.9±40.7µm in Group D. Mean (±SD) GM thickness at the bottom of the fissure was 395.6±12.2 µm, 403.9±26.0µm, 380.4±23.4 µm, and 375.8±28.8 µm in Groups A, B, C, and D respectively. Conclusion The thickness of the cortex is an essential factor in the normal development process, and it was similar in the current study. Normal aging, Alzheimer's disease, and other dementias cause reduced GM which makes the cortical sheet thin. Huntington's disease, corticobasal degeneration, amyotrophic lateral sclerosis, and schizophrenia are all examples of neurological disorders. Cortical thinning is typically locally localized, and the progression of atrophy can thus disclose much about a disease's history and causal variables. The present study correspondingly found that GM was reduced after the age of 50 years onward. Furthermore, longitudinal investigations of cortical atrophy have the potential to be extremely useful in measuring the efficacy of a wide range of treatments.
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Affiliation(s)
| | | | - Ahsanul Haq
- Statistics, Gonoshasthaya-RNA Molecular Diagnostic and Research Center, Dhanmondi, BGD
| | - Sharmin A Sumi
- Anatomy, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, BGD
| | | | - Susmita Sinha
- Physiology, Khulna City Medical College and Hospital, Khulna, BGD
| | - Santosh Kumar
- Periodontology and Implantology, Karnavati School of Dentistry, Karnavati University, Gandhinagar, IND
| | - Mainul Haque
- Karnavati Scientific Research Center (KSRC), School of Dentistry, Karnavati University, Gandhinagar, IND
- Pharmacology and Therapeutics, National Defence University of Malaysia, Kuala Lumpur, MYS
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Yeung AWK, Leung WK. Functional Neuroplasticity of Adults with Partial or Complete Denture Rehabilitation with or without Implants: Evidence from fMRI Studies. Nutrients 2023; 15:nu15071577. [PMID: 37049418 PMCID: PMC10096841 DOI: 10.3390/nu15071577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/20/2023] [Accepted: 03/21/2023] [Indexed: 03/28/2023] Open
Abstract
Tooth loss may affect food ingestion and, consequently, nutrition intake. The neuroimaging literature using functional magnetic resonance imaging (fMRI) was reviewed to summarize the changes in brain functions in response to denture rehabilitation in patients with partial or complete edentulous dentition. Overall, this review covered nine fMRI studies on denture rehabilitation. Eight recruited complete edentulous patients, whereas one recruited partially edentulous patients. The risk-of-bias assessment revealed concerns regarding all nine studies. Due to the heterogeneity of the studies and the lack of brain coordinates reported, a meta-analysis could not be conducted, and this review could only summarize the findings without statistical validation. The evidence from jaw-clenching studies suggested that implant-supported fixed dentures could be the best option, as compared to implant-supported overdentures and complete dentures, as it was associated with higher brain activity levels in various brain regions, including those corresponding to the primary sensory (postcentral gyrus) and motor cortices (precentral gyrus). Gum-chewing studies indicated that perhaps the medial and middle frontal gyri were associated with food comminuting and food mixing, which could be improved by the full replacement of the dental arch, instead of only partial replacement. All the fMRI studies described the functional neuroplasticity of the patients undergoing denture rehabilitation and suggested that certain rehabilitation options were more beneficial in restoring masticatory functions, as well as their associated brain activity levels.
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Affiliation(s)
- Andy Wai Kan Yeung
- Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China
- Correspondence: (A.W.K.Y.); (W.K.L.)
| | - Wai Keung Leung
- Periodontology and Implant Dentistry, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China
- Correspondence: (A.W.K.Y.); (W.K.L.)
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Dworetz A, Trotti LM, Sharma S. Novel Objective Measures of Hypersomnolence. CURRENT SLEEP MEDICINE REPORTS 2023; 9:45-55. [PMID: 37193087 PMCID: PMC10168608 DOI: 10.1007/s40675-022-00245-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/15/2022] [Indexed: 01/11/2023]
Abstract
Purpose of review To provide a brief overview of current objective measures of hypersomnolence, discuss proposed measure modifications, and review emerging measures. Recent findings There is potential to optimize current tools using novel metrics. High-density and quantitative EEG-based measures may provide discriminative informative. Cognitive testing may quantify cognitive dysfunction common to hypersomnia disorders, particularly in attention, and objectively measure pathologic sleep inertia. Structural and functional neuroimaging studies in narcolepsy type 1 have shown considerable variability but so far implicate both hypothalamic and extra-hypothalamic regions; fewer studies of other CDH have been performed. There is recent renewed interest in pupillometry as a measure of alertness in the evaluation of hypersomnolence. Summary No single test captures the full spectrum of disorders and use of multiple measures will likely improve diagnostic precision. Research is needed to identify novel measures and disease-specific biomarkers, and to define combinations of measures optimal for CDH diagnosis.
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Affiliation(s)
- Alex Dworetz
- Sleep Disorders Center, Atlanta Veterans Affairs Medical Center, Atlanta, GA
| | - Lynn Marie Trotti
- Sleep Center, Emory Healthcare, Atlanta, GA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA
| | - Surina Sharma
- Sleep Center, Emory Healthcare, Atlanta, GA
- Deparment of Medicine, Emory University School of Medicine, Atlanta, GA
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Yuan J, Yu H, Yu M, Liang X, Huang C, He R, Lei W, Chen J, Chen J, Tan Y, Liu K, Zhang T, Luo H, Xiang B. Altered spontaneous brain activity in major depressive disorder: An activation likelihood estimation meta-analysis. J Affect Disord 2022; 314:19-26. [PMID: 35750093 DOI: 10.1016/j.jad.2022.06.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/30/2022] [Accepted: 06/16/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND Wide application of resting-state functional magnetic resonance imaging (fMRI) in psychiatric research has revealed that major depressive disorder (MDD) manifest abnormal neural activities in several brain regions involving key resting state networks. However, inconsistent results have hampered our understanding of the exact neuropathology associated with MDD. Therefore, our aim was to conduct a meta-analysis to identify the consistent vulnerable brain regions of MDD in resting state, and to reveal the potential pathogenesis of MDD. METHODS A systematic review analysis was conducted on studies involving brain resting-state changes in MDD using low-frequency amplitude (ALFF), fractional low-frequency amplitude (fALFF) and regional homogeneity (ReHo) analysis. The meta-analysis was based on the activation likelihood estimation method, using the software of Ginger ALE 2.3. RESULTS 25 studies (892 MDD and 799 healthy controls) were included. Based on the meta-analysis results of ReHo, we found robust reduction of resting-state spontaneous brain activity in MDD, including the left cuneus and right middle occipital gyrus (cluster size = 216, 256 mm3, uncorrected P < 0.0001), while no increased spontaneous activation in any of the brain regions. We also found reduced ALFF in the left middle occipital gyrus (cluster size = 224 mm3, uncorrected P < 0.0001), and no increased spontaneous brain activation in any regions. CONCLUSION Our meta-analysis study using the activation likelihood estimation method demonstrated that MDD showed significant abnormalities in spontaneous neural activity, compared with healthy controls, mainly in areas associated with visual processing, such as the cuneus and the middle occipital gyrus. Dysfunction of these brain regions may be one of the pathogenesis of MDD.
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Affiliation(s)
- Jixiang Yuan
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Hua Yu
- Mental Health Center and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Minglan Yu
- Medical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Xuemei Liang
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Chaohua Huang
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Rongfang He
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Wei Lei
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Jing Chen
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Jianning Chen
- School of Pharmacy, Southwest Medical University, Luzhou, Sichuan Province, China; Central Nervous System Drug Key Laboratory of Sichuan Province, Luzhou, Sichuan Province, China
| | - Youguo Tan
- Mental Health Research Center, Zigong Mental Health Center, Zigong, Sichuan Province, China; Mental Health Research Center, Zigong Institute of Brain Science, Zigong, Sichuan Province, China
| | - Kezhi Liu
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Tao Zhang
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Huairong Luo
- School of Pharmacy, Southwest Medical University, Luzhou, Sichuan Province, China.
| | - Bo Xiang
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China; Mental Health Research Center, Zigong Institute of Brain Science, Zigong, Sichuan Province, China; Mental Health Center and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China; Central Nervous System Drug Key Laboratory of Sichuan Province, Luzhou, Sichuan Province, China.
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You WR, Lin LC, Lin WC, Tsai MC. Differences in orexin-A level in the functional brain network of HUD patients undergoing harm reduction therapy. Medicine (Baltimore) 2022; 101:e30093. [PMID: 35984180 PMCID: PMC9387983 DOI: 10.1097/md.0000000000030093] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Orexins regulate the reward-seeking pathway and also play a role in drug addiction. The aim of this study was an investigation of the changes in serum level of orexin-A as well as changes in the functional brain network in heroin use disorder (HUD) patients undergoing harm reduction therapy (HRT). Twenty-five HUD patients undergoing HRT that included methadone and buprenorphine, and 31 healthy control (HC) subjects, were enrolled for this study. Serum orexin-A levels and brain-derived neurotrophic factor were measured with assay kits. The functional brain network in HUD patients and HC was investigated and assessed using seed-based analysis and functional brain MRI scans. t Tested orexin-A levels were found to be significantly higher in HUD patients undergoing HRT than in HCs (P < .05). Analysis showed the functional activity of the right ventral anterior insula (RVAI) in HUD patients to be significantly lower than in HCs (P < .05, Family-Wise Error) corrected). In addition, the internetwork functional connectivity was significantly lower in the left nucleus accumbens and left dorsal anterior insula in the HUD subjects than in HCs (P < .05, Family-Wise Error corrected). In this study, no significant correlation between orexin-A levels and functional brain networks was found. However, the results suggest that HRT might increase orexin-A levels and decrease functional activity in RVAI in HUD patients.
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Affiliation(s)
- Wan-Ru You
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Liang-Chun Lin
- Department of Radiation Oncology, China Medical University Hospital, Taichung, Taiwan
| | - Wei-Che Lin
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Meng-Chang Tsai
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, Taiwan
- *Correspondence: Meng-Chang Tsai, Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, 123 Ta-Pei Road, Niao-Sung, Kaohsiung 83305, Taiwan (e-mail: )
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Zhang Y, Ren R, Yang L, Zhang H, Shi Y, Vitiello MV, Tang X, Sanford LD. Comparative polysomnography parameters between narcolepsy type 1/type 2 and idiopathic hypersomnia: A systematic review and meta-analysis. Sleep Med Rev 2022; 63:101610. [DOI: 10.1016/j.smrv.2022.101610] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 01/23/2022] [Accepted: 02/08/2022] [Indexed: 11/29/2022]
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Tahmasian M, Aleman A, Andreassen OA, Arab Z, Baillet M, Benedetti F, Bresser T, Bright J, Chee MW, Chylinski D, Cheng W, Deantoni M, Dresler M, Eickhoff SB, Eickhoff CR, Elvsåshagen T, Feng J, Foster-Dingley JC, Ganjgahi H, Grabe HJ, Groenewold NA, Ho TC, Hong SB, Houenou J, Irungu B, Jahanshad N, Khazaie H, Kim H, Koshmanova E, Kocevska D, Kochunov P, Lakbila-Kamal O, Leerssen J, Li M, Luik AI, Muto V, Narbutas J, Nilsonne G, O’Callaghan VS, Olsen A, Osorio RS, Poletti S, Poudel G, Reesen JE, Reneman L, Reyt M, Riemann D, Rosenzweig I, Rostampour M, Saberi A, Schiel J, Schmidt C, Schrantee A, Sciberras E, Silk TJ, Sim K, Smevik H, Soares JC, Spiegelhalder K, Stein DJ, Talwar P, Tamm S, Teresi GI, Valk SL, Van Someren E, Vandewalle G, Van Egroo M, Völzke H, Walter M, Wassing R, Weber FD, Weihs A, Westlye LT, Wright MJ, Wu MJ, Zak N, Zarei M. ENIGMA-Sleep: Challenges, opportunities, and the road map. J Sleep Res 2021; 30:e13347. [PMID: 33913199 PMCID: PMC8803276 DOI: 10.1111/jsr.13347] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 03/14/2021] [Accepted: 03/16/2021] [Indexed: 12/26/2022]
Abstract
Neuroimaging and genetics studies have advanced our understanding of the neurobiology of sleep and its disorders. However, individual studies usually have limitations to identifying consistent and reproducible effects, including modest sample sizes, heterogeneous clinical characteristics and varied methodologies. These issues call for a large-scale multi-centre effort in sleep research, in order to increase the number of samples, and harmonize the methods of data collection, preprocessing and analysis using pre-registered well-established protocols. The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) consortium provides a powerful collaborative framework for combining datasets across individual sites. Recently, we have launched the ENIGMA-Sleep working group with the collaboration of several institutes from 15 countries to perform large-scale worldwide neuroimaging and genetics studies for better understanding the neurobiology of impaired sleep quality in population-based healthy individuals, the neural consequences of sleep deprivation, pathophysiology of sleep disorders, as well as neural correlates of sleep disturbances across various neuropsychiatric disorders. In this introductory review, we describe the details of our currently available datasets and our ongoing projects in the ENIGMA-Sleep group, and discuss both the potential challenges and opportunities of a collaborative initiative in sleep medicine.
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Affiliation(s)
- Masoud Tahmasian
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - André Aleman
- University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Ole A. Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Inst of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Zahra Arab
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Marion Baillet
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Francesco Benedetti
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
| | - Tom Bresser
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, Netherlands
| | - Joanna Bright
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Michael W.L. Chee
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Daphne Chylinski
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Wei Cheng
- Institute of Science and Technology for Brain-inspired intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, Shanghai, China
| | - Michele Deantoni
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Martin Dresler
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Simon B. Eickhoff
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty,, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Claudia R. Eickhoff
- Institute of Neuroscience and Medicine, Structural and functional organisation of the brain (INM-1), Research Centre Jülich, Jülich, Germany
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-inspired intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, Shanghai, China
- Department of Computer Science, University of Warwick, Coventry, UK
| | - Jessica C. Foster-Dingley
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Habib Ganjgahi
- Department of Statistics, University of Oxford, Oxford, UK
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Nynke A. Groenewold
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Tiffany C. Ho
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Seung Bong Hong
- Department of Neurology, Samsung Medical Center, SBRI (Samsung Biomedical Research Institute), Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Josselin Houenou
- Univ Paris Saclay, NeuroSpin neuroimaging platform, Psychiatry Team, UNIACT Lab, CEA Saclay, Gif-Sur-Yvette Cedex, France
- DMU IMPACT de Psychiatrie et d'Addictologie, APHP, Hôpitaux Universitaires Mondor, Créteil, France
- Univ Paris Est Créteil, INSERM U 955, IMRB Team 15 « Translational Neuropsychiatry », Foundation FondaMental, Créteil, France
| | - Benson Irungu
- Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Hosung Kim
- Laboratory of Neuro Imaging at USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Ekaterina Koshmanova
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Desi Kocevska
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Oti Lakbila-Kamal
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, Netherlands
| | - Jeanne Leerssen
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, Netherlands
| | - Meng Li
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Annemarie I. Luik
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Vincenzo Muto
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Justinas Narbutas
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Gustav Nilsonne
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, Stress Research Institute, Stockholm University, Stockholm, Sweden
| | | | - Alexander Olsen
- Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ricardo S. Osorio
- Healthy Brain Aging and Sleep Center, Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, USA
- Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Sara Poletti
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
| | - Govinda Poudel
- Mary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, Vic., Australia
| | - Joyce E. Reesen
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, Netherlands
| | - Liesbeth Reneman
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, AMC, Amsterdam, The Netherlands
| | - Mathilde Reyt
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Dieter Riemann
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, UK
- Sleep Disorders Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Masoumeh Rostampour
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Amin Saberi
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Julian Schiel
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Christina Schmidt
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, AMC, Amsterdam, The Netherlands
| | - Emma Sciberras
- Department of Paediatrics, University of Melbourne, Parkville, Vic., Australia
- Murdoch Children's Research Institute, Parkville, Vic., Australia
- School of Psychology, Deakin University, Geelong, Vic., Australia
| | - Tim J. Silk
- Department of Paediatrics, University of Melbourne, Parkville, Vic., Australia
- Murdoch Children's Research Institute, Parkville, Vic., Australia
- School of Psychology, Deakin University, Geelong, Vic., Australia
| | - Kang Sim
- Institute of Mental Health, Buangkok, Singapore
| | - Hanne Smevik
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jair C. Soares
- Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Dan J. Stein
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Puneet Talwar
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Sandra Tamm
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, Stress Research Institute, Stockholm University, Stockholm, Sweden
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Giana I. Teresi
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Sofie L. Valk
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty,, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Eus Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, Netherlands
- Vrije Universiteit, Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Gilles Vandewalle
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Maxime Van Egroo
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Henry Völzke
- Institute for Community Medicine, Department SHIP/Clinical Epidemiological Research, University Medicine Greifswald, Greifswald, Germany
- German Centre for Cardiovascular Research (DZHK), Greifswald, Germany
| | - Martin Walter
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Rick Wassing
- Department of Sleep and Circadian Research, Woolcock Institute of Medical Research, The University of Sydney, Sydney, Australia
| | - Frederik D. Weber
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Antoine Weihs
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Lars Tjelta Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Inst of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- K.G Jebsen Center for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Margaret J. Wright
- Queensland Brain Institute, The University of Queensland, Brisbane, Qld, Australia
- Centre for Advanced Imaging, The University of Queensland, St Lucia, Qld, Australia
| | - Mon-Ju Wu
- Department of Psychology and Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Nathalia Zak
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Inst of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Mojtaba Zarei
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
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10
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Rahimi-Jafari S, Sarebannejad S, Saberi A, Khazaie H, Camilleri JA, Eickhoff CR, Eickhoff SB, Tahmasian M. Is there any consistent structural and functional brain abnormality in narcolepsy? A meta-analytic perspective. Neurosci Biobehav Rev 2021; 132:1181-1182. [PMID: 34756895 DOI: 10.1016/j.neubiorev.2021.10.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 10/07/2021] [Accepted: 10/26/2021] [Indexed: 10/20/2022]
Affiliation(s)
- Sama Rahimi-Jafari
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Sara Sarebannejad
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Amin Saberi
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Julia A Camilleri
- Institute of Neuroscience and Medicine Research, Brain and Behaviour (INM-7), Jülich Research Center, Jülich, Germany; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Claudia R Eickhoff
- Institute of Neuroscience and Medicine Research, Brain and Behaviour (INM-7), Jülich Research Center, Jülich, Germany; Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University, Düsseldorf, Germany; Institute of Neuroscience and Medicine Research, Structural and functional organisation of the brain (INM-1), Jülich Research Center, Jülich, Germany
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine Research, Brain and Behaviour (INM-7), Jülich Research Center, Jülich, Germany; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Masoud Tahmasian
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran; Institute of Neuroscience and Medicine Research, Brain and Behaviour (INM-7), Jülich Research Center, Jülich, Germany; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.
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11
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Zhang Y, Ren R, Yang L, Zhang H, Shi Y, Sanford LD, Tang X. Polysomnographic nighttime features of narcolepsy: A systematic review and meta-analysis. Sleep Med Rev 2021; 58:101488. [PMID: 33934047 DOI: 10.1016/j.smrv.2021.101488] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 03/27/2021] [Accepted: 03/28/2021] [Indexed: 02/08/2023]
Abstract
Polysomnographic studies have been conducted to explore nighttime sleep features in narcolepsy, but their relationship to narcolepsy is still imperfectly understood. We conducted a systematic review of the literature exploring polysomnographic differences between narcolepsy patients and healthy controls (HCs) in EMBASE, MEDLINE, All EBM databases, CINAHL, and PsycINFO. 108 studies were identified for this review, 105 of which were used for meta-analysis. Meta-analyses revealed significant reductions in sleep latency, sleep efficiency, slow wave sleep percentage, rapid eye movement sleep (REM) latency, cyclic alternating pattern rate, and increases in total sleep time, wake time after sleep onset (WASO), awakening numbers (AWN) per hour, stage shift (SS) per hour, N1 percentage, apnea hypopnea index, and periodic limb movement index in narcolepsy patients compared with HCs. Furthermore, narcolepsy type 1 patients showed more disturbed nighttime sleep compared with narcolepsy type 2 patients. Children and adolescent narcolepsy patients show increased WASO, AWN, and SS compared with adult patients. Macro- and micro-structurally, our study suggests that narcolepsy patients have poor nighttime sleep. Sex, age, body mass index, disease duration, disease type, medication status, and adaptation night are demographic, clinical and methodological factors that contribute to heterogeneity between studies.
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Affiliation(s)
- Ye Zhang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Rong Ren
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
| | - Linghui Yang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Haipeng Zhang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Yuan Shi
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Larry D Sanford
- Sleep Research Laboratory, Center for Integrative Neuroscience and Inflammatory Diseases, Department of Pathology and Anatomy, Eastern Virginia Medical School, Norfolk, VA, USA.
| | - Xiangdong Tang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
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12
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Gool JK, Cross N, Fronczek R, Lammers GJ, van der Werf YD, Dang-Vu TT. Neuroimaging in Narcolepsy and Idiopathic Hypersomnia: from Neural Correlates to Clinical Practice. CURRENT SLEEP MEDICINE REPORTS 2020. [DOI: 10.1007/s40675-020-00185-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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13
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Yang C, Chang J, Liang X, Bao X, Wang R. Gray Matter Alterations in Parkinson's Disease With Rapid Eye Movement Sleep Behavior Disorder: A Meta-Analysis of Voxel-Based Morphometry Studies. Front Aging Neurosci 2020; 12:213. [PMID: 32903450 PMCID: PMC7434963 DOI: 10.3389/fnagi.2020.00213] [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: 12/03/2019] [Accepted: 06/17/2020] [Indexed: 02/06/2023] Open
Abstract
Background: Gray matter (GM) alterations in Parkinson's disease (PD) patients with rapid eye movement sleep behavior disorder (RBD) have been demonstrated in many neuroimaging studies using voxel-based morphometry (VBM). However, the inconsistent findings between studies cannot be applied to clinical practice as a neuroimaging biomarker. We performed a meta-analysis of VBM studies at a whole-brain level to investigate GM differences between PD patients with and without RBD. Methods: A systematic search was conducted in PubMed, Embase, and Web of Science from inception to November 2019 to identify eligible VBM studies. We adopted the latest Seed-based d Mapping with Permutation of Subject Images technique to quantitatively estimate the difference of regional GM volume between PD patients with and without RBD. Results: We included five studies comprising 105 PD patients with RBD and 140 PD patients without RBD. The pooled meta-analysis revealed that PD patients with RBD showed a significant reduction of GM volume in the right superior temporal gyrus (STG) compared with those without RBD. This result was confirmed to be robust by the jackknife sensitivity analysis. Conclusion: Our finding shows significantly and robustly reduced GM volume in the right STG in PD patients with RBD, preliminarily suggesting the association of GM atrophy in this brain region with the occurrence of RBD in PD patients.
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Affiliation(s)
- Chengxian Yang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianbo Chang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaohang Liang
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Xinjie Bao
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Renzhi Wang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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14
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Cavaliere C, Longarzo M, Fogel S, Engström M, Soddu A. Neuroimaging of Narcolepsy and Primary Hypersomnias. Neuroscientist 2020; 26:310-327. [PMID: 32111133 DOI: 10.1177/1073858420905829] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Advances in neuroimaging open up the possibility for new powerful tools to be developed that potentially can be applied to clinical populations to improve the diagnosis of neurological disorders, including sleep disorders. At present, the diagnosis of narcolepsy and primary hypersomnias is largely limited to subjective assessments and objective measurements of behavior and sleep physiology. In this review, we focus on recent neuroimaging findings that provide insight into the neural basis of narcolepsy and the primary hypersomnias Kleine-Levin syndrome and idiopathic hypersomnia. We describe the role of neuroimaging in confirming previous genetic, neurochemical, and neurophysiological findings and highlight studies that permit a greater understanding of the symptoms of these sleep disorders. We conclude by considering some of the remaining challenges to overcome, the existing knowledge gaps, and the potential role for neuroimaging in understanding the pathogenesis and clinical features of narcolepsy and primary hypersomnias.
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Affiliation(s)
| | | | - Stuart Fogel
- Brain and Mind Institute, Western University, London, Ontario, Canada.,School of Psychology, University of Ottawa, Ottawa, Ontario, Canada.,Sleep Unit, The Royal's Institute for Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada.,University of Ottawa Brain and Mind Research Institute, Ottawa, Ontario, Canada
| | - Maria Engström
- Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Andrea Soddu
- Brain and Mind Institute, Western University, London, Ontario, Canada.,Physics & Astronomy Department, Brain and Mind Institute, Western University, London, Ontario, Canada
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15
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Tench C, Tanasescu R, Cottam W, Constantinescu C, Auer D. Coordinate based meta-analysis does not show grey matter atrophy in narcolepsy. Neurosci Biobehav Rev 2019; 102:427-429. [DOI: 10.1016/j.neubiorev.2016.10.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Revised: 10/14/2016] [Accepted: 10/24/2016] [Indexed: 11/29/2022]
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16
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Drissi NM, Warntjes M, Wessén A, Szakacs A, Darin N, Hallböök T, Landtblom AM, Gauffin H, Engström M. Structural anomaly in the reticular formation in narcolepsy type 1, suggesting lower levels of neuromelanin. NEUROIMAGE-CLINICAL 2019; 23:101875. [PMID: 31174102 PMCID: PMC6551567 DOI: 10.1016/j.nicl.2019.101875] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 04/04/2019] [Accepted: 05/25/2019] [Indexed: 12/18/2022]
Abstract
The aim of this study was to investigate structural changes in the brain stem of adolescents with narcolepsy, a disorder characterized by excessive daytime sleepiness, fragmented night-time sleep, and cataplexy. For this purpose, we used quantitative magnetic resonance imaging to obtain R1 and R2 relaxation rates, proton density, and myelin maps in adolescents with narcolepsy (n = 14) and healthy controls (n = 14). We also acquired resting state functional magnetic resonance imaging (fMRI) for brainstem connectivity analysis. We found a significantly lower R2 in the rostral reticular formation near the superior cerebellar peduncle in narcolepsy patients, family wise error corrected p = .010. Narcolepsy patients had a mean R2 value of 1.17 s-1 whereas healthy controls had a mean R2 of 1.31 s-1, which was a large effect size with Cohen d = 4.14. We did not observe any significant differences in R1 relaxation, proton density, or myelin content. The sensitivity of R2 to metal ions in tissue and the transition metal ion chelating property of neuromelanin indicate that the R2 deviant area is one of the neuromelanin containing nuclei of the brain stem. The close proximity and its demonstrated involvement in sleep-maintenance, specifically through orexin projections from the hypothalamus regulating sleep stability, as well as the results from the connectivity analysis, suggest that the observed deviant area could be the locus coeruleus or other neuromelanin containing nuclei in the proximity of the superior cerebellar peduncle. Hypothetically, the R2 differences described in this paper could be due to lower levels of neuromelanin in this area of narcolepsy patients.
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Affiliation(s)
- Natasha Morales Drissi
- Department of Medical and Health Sciences (IMH), Linköping University, 581 83 Linköping, Sweden; Center for Medical Image Science and Visualization, Linköping University, 581 83 Linköping, Sweden
| | - Marcel Warntjes
- Department of Medical and Health Sciences (IMH), Linköping University, 581 83 Linköping, Sweden; Center for Medical Image Science and Visualization, Linköping University, 581 83 Linköping, Sweden
| | | | - Attila Szakacs
- Department of Pediatrics, Queen Silvia Children's Hospital, Institute of Clinical Sciences, The Sahlgrenska Academy at the University of Gothenburg, 416 50 Gothenburg, Sweden
| | - Niklas Darin
- Department of Pediatrics, Queen Silvia Children's Hospital, Institute of Clinical Sciences, The Sahlgrenska Academy at the University of Gothenburg, 416 50 Gothenburg, Sweden
| | - Tove Hallböök
- Department of Pediatrics, Queen Silvia Children's Hospital, Institute of Clinical Sciences, The Sahlgrenska Academy at the University of Gothenburg, 416 50 Gothenburg, Sweden
| | - Anne-Marie Landtblom
- Center for Medical Image Science and Visualization, Linköping University, 581 83 Linköping, Sweden; Department of Clinical and Experimental Medicine (IKE), Linköping University, 581 83 Linköping, Sweden; Department of Neuroscience, Uppsala University, 752 36 Uppsala, Sweden
| | - Helena Gauffin
- Department of Clinical and Experimental Medicine (IKE), Linköping University, 581 83 Linköping, Sweden
| | - Maria Engström
- Department of Medical and Health Sciences (IMH), Linköping University, 581 83 Linköping, Sweden; Center for Medical Image Science and Visualization, Linköping University, 581 83 Linköping, Sweden.
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17
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Wada M, Mimura M, Noda Y, Takasu S, Plitman E, Honda M, Natsubori A, Ogyu K, Tarumi R, Graff-Guerrero A, Nakajima S. Neuroimaging correlates of narcolepsy with cataplexy: A systematic review. Neurosci Res 2018; 142:16-29. [PMID: 29580887 DOI: 10.1016/j.neures.2018.03.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Revised: 03/15/2018] [Accepted: 03/22/2018] [Indexed: 11/29/2022]
Abstract
Recent developments in neuroimaging techniques have advanced our understanding of biological mechanisms underpinning narcolepsy. We used MEDLINE to retrieve neuroimaging studies to compare patients with narcolepsy and healthy controls. Thirty-seven studies were identified and demonstrated several replicated abnormalities: (1) gray matter reductions in superior frontal, superior and inferior temporal, and middle occipital gyri, hypothalamus, amygdala, insula, hippocampus, cingulate cortex, thalamus, and nucleus accumbens, (2) decreased fractional anisotropy in white matter of fronto-orbital and cingulate area, (3) reduced brain metabolism or cerebral blood flow in middle and superior frontal, and cingulate cortex (4) increased activity in inferior frontal gyri, insula, amygdala, and nucleus accumbens, and (5) N-acetylaspartate/creatine-phosphocreatine level reduction in hypothalamus. In conclusion, all the replicated findings are still controversial due to the limitations such as heterogeneity or size of the samples and lack of multimodal imaging or follow-up. Thus, future neuroimaging studies should employ multimodal imaging methods in a large sample size of patients with narcolepsy and consider age, duration of disease, age at onset, severity, human leukocyte antigen type, cerebrospinal fluid hypocretin levels, and medication intake in order to elucidate possible neuroimaging characteristic of narcolepsy and identify therapeutic targets.
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Affiliation(s)
- Masataka Wada
- Department of Neuropsychiatry, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
| | - Masaru Mimura
- Department of Neuropsychiatry, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
| | - Yoshihiro Noda
- Department of Neuropsychiatry, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
| | - Shotaro Takasu
- Department of Neuropsychiatry, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
| | - Eric Plitman
- Multimodal Imaging Group - Research Imaging Centre, Centre for Addiction and Mental Health, 250 College, Toronto, Ontario, M5T 1R8, Canada; Institute of Medical Science, University of Toronto, 1 King's College Circle, Toronto, Ontario, M5S 1A8, Canada.
| | - Makoto Honda
- Tokyo Metropolitan Institute of Medical Science, 2-1-6 Kamikitazawa, Setagaya-ku, Tokyo, 156-8506, Japan; Seiwa Hospital, 91 Bententyo, Sinjyuku-ku, Tokyo, 162-0851, Japan.
| | - Akiyo Natsubori
- Tokyo Metropolitan Institute of Medical Science, 2-1-6 Kamikitazawa, Setagaya-ku, Tokyo, 156-8506, Japan.
| | - Kamiyu Ogyu
- Department of Neuropsychiatry, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
| | - Ryosuke Tarumi
- Department of Neuropsychiatry, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
| | - Ariel Graff-Guerrero
- Multimodal Imaging Group - Research Imaging Centre, Centre for Addiction and Mental Health, 250 College, Toronto, Ontario, M5T 1R8, Canada; Geriatric Mental Health Division, Centre for Addiction and Mental Health, 80 Workman Way, Toronto, Ontario, M6J 1H4, Canada; Department of Psychiatry, University of Toronto, 250 College Street, Toronto, Ontario, M5T 1R8, Canada.
| | - Shinichiro Nakajima
- Department of Neuropsychiatry, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan; Multimodal Imaging Group - Research Imaging Centre, Centre for Addiction and Mental Health, 250 College, Toronto, Ontario, M5T 1R8, Canada; Department of Psychiatry, University of Toronto, 250 College Street, Toronto, Ontario, M5T 1R8, Canada.
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Tondelli M, Pizza F, Vaudano AE, Plazzi G, Meletti S. Cortical and Subcortical Brain Changes in Children and Adolescents With Narcolepsy Type 1. Sleep 2017; 41:4737104. [DOI: 10.1093/sleep/zsx192] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Affiliation(s)
- Manuela Tondelli
- Department of Biomedical, Metabolic, and Neural Science, University of Modena and Reggio Emilia, Modena, Italy
| | - Fabio Pizza
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
- IRCCS Istituto delle Scienze Neurologiche, AUSL di Bologna, Bologna, Italy
| | - Anna Elisabetta Vaudano
- Department of Biomedical, Metabolic, and Neural Science, University of Modena and Reggio Emilia, Modena, Italy
| | - Giuseppe Plazzi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
- IRCCS Istituto delle Scienze Neurologiche, AUSL di Bologna, Bologna, Italy
| | - Stefano Meletti
- Department of Biomedical, Metabolic, and Neural Science, University of Modena and Reggio Emilia, Modena, Italy
- Center for Neuroscience and Neurotechnology, University of Modena and Reggio Emilia, Modena, Italy
- Neurology Unit, OCSAE Hospital, AOU Modena, Italy
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19
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Xia W, Chen YC, Ma J. Resting-State Brain Anomalies in Type 2 Diabetes: A Meta-Analysis. Front Aging Neurosci 2017; 9:14. [PMID: 28197096 PMCID: PMC5281680 DOI: 10.3389/fnagi.2017.00014] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Accepted: 01/17/2017] [Indexed: 11/16/2022] Open
Abstract
Resting-state functional magnetic resonance imaging (fMRI) studies have revealed abnormal neural activity in patients with type 2 diabetes mellitus (T2DM). Nonetheless, these findings are heterogeneous and have not been quantitatively reviewed. Thus, we aimed to conduct a meta-analysis that identified consistent results of existing resting-state fMRI studies to determine concordant resting-state neural brain activity alterations in T2DM patients. A systematic search was conducted for resting-state fMRI studies comparing T2DM patients with healthy controls. Coordinates were extracted from clusters with significant differences. The meta-analysis was performed using the activation likelihood estimation method, and nine studies were included. This meta-analysis identified robustly reduced resting-state brain activity in the whole brain of T2DM patients, including the bilateral lingual gyrus, left postcentral gyrus, right inferior temporal gyrus, right cerebellar culmen, right insula and right posterior cingulate cortex (PCC). The present study demonstrates a characteristic pattern of resting-state brain anomalies that will contribute to the understanding of neuropathophysiological mechanisms underlying T2DM.
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Affiliation(s)
- Wenqing Xia
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University Nanjing, China
| | - Yu-Chen Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University Nanjing, China
| | - Jianhua Ma
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University Nanjing, China
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20
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Chen YC, Wang F, Wang J, Bo F, Xia W, Gu JP, Yin X. Resting-State Brain Abnormalities in Chronic Subjective Tinnitus: A Meta-Analysis. Front Hum Neurosci 2017; 11:22. [PMID: 28174532 PMCID: PMC5258692 DOI: 10.3389/fnhum.2017.00022] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2016] [Accepted: 01/11/2017] [Indexed: 11/13/2022] Open
Abstract
Purpose: The neural mechanisms that give rise to the phantom sound of tinnitus have not been fully elucidated. Neuroimaging studies have revealed abnormalities in resting-state activity that could represent the neural signature of tinnitus, but there is considerable heterogeneity in the data. To address this issue, we conducted a meta-analysis of published neuroimaging studies aimed at identifying a common core of resting-state brain abnormalities in tinnitus patients. Methods: A systematic search was conducted for whole-brain resting-state neuroimaging studies with SPECT, PET and functional MRI that compared chronic tinnitus patients with healthy controls. The authors searched PubMed, Science Direct, Web of Knowledge and Embase databases for neuroimaging studies on tinnitus published up to September 2016. From each study, coordinates were extracted from clusters with significant differences between tinnitus subjects and controls. Meta-analysis was performed using the activation likelihood estimation (ALE) method. Results: Data were included from nine resting-state neuroimaging studies that reported a total of 51 distinct foci. The meta-analysis identified consistent regions of increased resting-state brain activity in tinnitus patients relative to controls that included, bilaterally, the insula, middle temporal gyrus (MTG), inferior frontal gyrus (IFG), parahippocampal gyrus, cerebellum posterior lobe and right superior frontal gyrus. Moreover, decreased brain activity was only observed in the left cuneus and right thalamus. Conclusions: The current meta-analysis is, to our knowledge, the first to demonstrate a characteristic pattern of resting-state brain abnormalities that may serve as neuroimaging markers and contribute to the understanding of neuropathophysiological mechanisms for chronic tinnitus.
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Affiliation(s)
- Yu-Chen Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University Nanjing, China
| | - Fang Wang
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University Nanjing, China
| | - Jie Wang
- Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University Nanjing, China
| | - Fan Bo
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University Nanjing, China
| | - Wenqing Xia
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University Nanjing, China
| | - Jian-Ping Gu
- Department of Vascular and Interventional Radiology, Nanjing First Hospital, Nanjing Medical University Nanjing, China
| | - Xindao Yin
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University Nanjing, China
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21
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Gray Matter Atrophy within the Default Mode Network of Fibromyalgia: A Meta-Analysis of Voxel-Based Morphometry Studies. BIOMED RESEARCH INTERNATIONAL 2016; 2016:7296125. [PMID: 28105430 PMCID: PMC5220433 DOI: 10.1155/2016/7296125] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Accepted: 12/06/2016] [Indexed: 12/30/2022]
Abstract
Over the years, studies have demonstrated morphological changes in the brain of fibromyalgia (FMS). We aimed to conduct a coordinate-based meta-analytic research through systemic review on voxel-based morphometry (VBM) imaging results to identify consistent gray matter (GM) difference between FMS patients and healthy subjects. We performed a comprehensive literature search in PubMed (January 2000–December 2015) and included six VBM publication on FMS. Stereotactic data were extracted from 180 patients of FMS and 123 healthy controls. By means of activation likelihood estimation (ALE) technique, regional GM reduction in left medial prefrontal cortex and right dorsal posterior cingulate cortex was identified. Both regions are within the default mode network. In conclusion, the gray matter deficit is related to the both affective and nonaffective components of pain processing. This result also provided the neuroanatomical correlates for emotional and cognitive symptoms in FMS.
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Zhong J, Shi H, Ma H, Sheng L. Voxelwise meta-analysis of grey matter atrophy in narcolepsy. Neurosci Biobehav Rev 2016; 68:1001-1003. [DOI: 10.1016/j.neubiorev.2016.06.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2015] [Revised: 05/23/2016] [Accepted: 06/12/2016] [Indexed: 12/14/2022]
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Susta M, Nemcova V, Bizik G, Sonka K. Emotion stimulus processing in narcolepsy with cataplexy. J Sleep Res 2016; 26:30-37. [DOI: 10.1111/jsr.12444] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Accepted: 07/06/2016] [Indexed: 12/15/2022]
Affiliation(s)
- Marek Susta
- St Elisabeth University of Health and Social Sciences; Bratislava Slovakia
- 1st Faculty of Medicine; Department of Neurology; Charles University and General University Hospital; Prague 2 Czech Republic
| | - Veronika Nemcova
- 1st Faculty of Medicine; Department of Anatomy; Charles University; Prague 2 Czech Republic
| | - Gustav Bizik
- Department of Psychiatry; Aalborg University Hospital; Aalborg Denmark
| | - Karel Sonka
- 1st Faculty of Medicine; Department of Neurology; Charles University and General University Hospital; Prague 2 Czech Republic
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Coordinate based meta-analysis does not show grey matter atrophy in narcolepsy. Neurosci Biobehav Rev 2015; 57:297-8. [DOI: 10.1016/j.neubiorev.2015.07.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2015] [Accepted: 07/20/2015] [Indexed: 01/21/2023]
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