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Sarasso E, Gardoni A, Marelli S, Balestrino R, Zenere L, Castelnuovo A, Malcangi M, Basaia S, Grassi A, Tettamanti A, Canu E, Ferini-Strambi L, Filippi M, Agosta F. Gait Analysis and Magnetic Resonance Imaging Characteristics in Patients with Isolated Rapid Eye Movement Sleep Behavior Disorder. Mov Disord 2024. [PMID: 38962883 DOI: 10.1002/mds.29911] [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] [Received: 01/31/2024] [Revised: 05/20/2024] [Accepted: 06/17/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND Isolated rapid eye movement sleep behavioral disorder (iRBD) can precede neurodegenerative diseases. There is an urgent need for biomarkers to aid early intervention and neuroprotection. OBJECTIVE The aim is to assess quantitative motor, cognitive, and brain magnetic resonance imaging (MRI) characteristics in iRBD patients. METHODS Thirty-eight polysomnography-confirmed iRBD patients and 28 age- and sex-matched healthy controls underwent clinical, cognitive, and motor functional evaluations, along with brain MRI. Motor tasks included nine-hole peg test, five-times-sit-to-stand test, timed-up-and-go test, and 4-meter walking test with and without cognitive dual task. Quantitative spatiotemporal gait parameters were obtained using an optoelectronic system. Brain MRI analysis included functional connectivity (FC) of the main resting-state networks, gray matter (GM) volume using voxel-based morphometry, cortical thickness, and deep GM and brainstem volumes using FMRIB's Integrated Registration and Segmentation Tool and FreeSurfer. RESULTS iRBD patients relative to healthy subjects exhibited a poorer performance during the nine-hole peg test and five-times-sit-to-stand test, and greater asymmetry of arm-swing amplitude and stride length variability during dual-task gait. Dual task significantly worsened the walking performance of iRBD patients more than healthy controls. iRBD patients exhibited nonmotor symptoms, and memory, abstract reasoning, and visuospatial deficits. iRBD patients exhibited decreased FC of pallidum and putamen within the basal ganglia network and occipital and temporal areas within the visuo-associative network, and a reduced volume of the supramarginal gyrus. Brain functional alterations correlated with gait changes. CONCLUSIONS Subtle motor and nonmotor alterations were identified in iRBD patients, alongside brain structural and functional MRI changes. These findings may represent early signs of neurodegeneration and contribute to the development of predictive models for progression to parkinsonism. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Elisabetta Sarasso
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal Child Health, University of Genoa, Genoa, Italy
| | - Andrea Gardoni
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Sara Marelli
- Vita-Salute San Raffaele University, Milan, Italy
- Sleep Disorders Center, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Roberta Balestrino
- Vita-Salute San Raffaele University, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurosurgery and Gamma Knife Radiosurgery Unit, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Lucia Zenere
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alessandra Castelnuovo
- Vita-Salute San Raffaele University, Milan, Italy
- Sleep Disorders Center, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Malcangi
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Silvia Basaia
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Andrea Grassi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Andrea Tettamanti
- Vita-Salute San Raffaele University, Milan, Italy
- Department of Rehabilitation and Functional Recovery, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Elisa Canu
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Luigi Ferini-Strambi
- Vita-Salute San Raffaele University, Milan, Italy
- Sleep Disorders Center, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
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Ophey A, Röttgen S, Pauquet J, Weiß KL, Scharfenberg D, Doppler CEJ, Seger A, Hansen C, Fink GR, Sommerauer M, Kalbe E. Cognitive training and promoting a healthy lifestyle for individuals with isolated REM sleep behavior disorder: study protocol of the delayed-start randomized controlled trial CogTrAiL-RBD. Trials 2024; 25:428. [PMID: 38943191 PMCID: PMC11214208 DOI: 10.1186/s13063-024-08265-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 06/18/2024] [Indexed: 07/01/2024] Open
Abstract
BACKGROUND Isolated REM sleep behavior disorder (iRBD) is an early α-synucleinopathy often accompanied by incipient cognitive impairment. As executive dysfunctions predict earlier phenotypic conversion from iRBD to Parkinson's disease and Lewy body dementia, cognitive training focusing on executive functions could have disease-modifying effects for individuals with iRBD. METHODS The study CogTrAiL-RBD investigates the short- and long-term effectiveness and the feasibility and underlying neural mechanisms of a cognitive training intervention for individuals with iRBD. The intervention consists of a 5-week digital cognitive training accompanied by a module promoting a healthy, active lifestyle. In this monocentric, single-blinded, delayed-start randomized controlled trial, the intervention's effectiveness will be evaluated compared to an initially passive control group that receives the intervention in the second, open-label phase of the study. Eighty individuals with iRBD confirmed by polysomnography will be consecutively recruited from the continuously expanding iRBD cohort at the University Hospital Cologne. The evaluation will focus on cognition and additional neuropsychological and motor variables. Furthermore, the study will examine the feasibility of the intervention, effects on physical activity assessed by accelerometry, and interrogate the intervention's neural effects using magnetic resonance imaging and polysomnography. Besides, a healthy, age-matched control group (HC) will be examined at the first assessment time point, enabling a cross-sectional comparison between individuals with iRBD and HC. DISCUSSION This study will provide insights into whether cognitive training and psychoeducation on a healthy, active lifestyle have short- and long-term (neuro-)protective effects for individuals with iRBD. TRIAL REGISTRATION The study was prospectively registered in the German Clinical Trial Register (DRKS00024898) on 2022-03-11, https://drks.de/search/de/trial/DRKS00024898 . PROTOCOL VERSION V5 2023-04-24.
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Affiliation(s)
- Anja Ophey
- Department of Medical Psychology | Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Intervention (CeNDI), University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany.
- Cognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.
| | - Sinah Röttgen
- Cognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Julia Pauquet
- Department of Medical Psychology | Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Intervention (CeNDI), University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Kim-Lara Weiß
- Cognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Daniel Scharfenberg
- Department of Medical Psychology | Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Intervention (CeNDI), University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Christopher E J Doppler
- Cognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Aline Seger
- Cognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Clint Hansen
- Department of Neurology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Gereon R Fink
- Cognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Michael Sommerauer
- Cognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
- Center of Neurology, Department of Parkinson, Sleep and Movement Disorders, University of Bonn, Bonn, Germany
| | - Elke Kalbe
- Department of Medical Psychology | Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Intervention (CeNDI), University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
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Churchill L, Chen YC, Lewis SJG, Matar E. Understanding REM Sleep Behavior Disorder through Functional MRI: A Systematic Review. Mov Disord 2024. [PMID: 38934216 DOI: 10.1002/mds.29898] [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] [Received: 02/23/2024] [Revised: 05/08/2024] [Accepted: 06/03/2024] [Indexed: 06/28/2024] Open
Abstract
Neuroimaging studies in rapid eye movement sleep behavior disorder (RBD) can inform fundamental questions about the pathogenesis of Parkinson's disease (PD). Across modalities, functional magnetic resonance imaging (fMRI) may be better suited to identify changes between neural networks in the earliest stages of Lewy body diseases when structural changes may be subtle or absent. This review synthesizes the findings from all fMRI studies of RBD to gain further insight into the pathophysiology and progression of Lewy body diseases. A total of 32 studies were identified using a systematic review conducted according to PRISMA guidelines between January 2000 to February 2024 for original fMRI studies in patients with either isolated RBD (iRBD) or RBD secondary to PD. Common functional alterations were detectable in iRBD patients compared with healthy controls across brainstem nuclei, basal ganglia, frontal and occipital lobes, and whole brain network measures. Patients with established PD and RBD demonstrated decreased functional connectivity across the whole brain and brainstem nuclei, but increased functional connectivity in the cerebellum and frontal lobe compared with those PD patients without RBD. Finally, longitudinal changes in resting state functional connectivity were found to track with disease progression. Currently, fMRI studies in RBD have demonstrated early signatures of neurodegeneration across both motor and non-motor pathways. Although more work is needed, such findings have the potential to inform our understanding of disease, help to distinguish between prodromal PD and prodromal dementia with Lewy bodies, and support the development of fMRI-based outcome measures of phenoconversion and progression in future disease modifying trials. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Lachlan Churchill
- Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Yu-Chi Chen
- Brain Dynamic Centre, Westmead Institute for Medical Research, Westmead, New South Wales, Australia
| | - Simon J G Lewis
- Macquarie Medical School and Macquarie University Centre for Parkinson's Disease Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Elie Matar
- Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Centre for Integrated Research and Understanding of Sleep (CIRUS), Woolcock Institute of Medical Research, Sydney, New South Wales, Australia
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
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Abenza Abildua MJ, Lanz Santos E, Moreno Domínguez L, Mata Álvarez-Santullano M, Borrue Fernández C, Palmí Cortés I, Lobato Rodríguez R, Navacerrada Barrero FJ, Martínez Ubierna S, Gómez Aceña A Á, Suárez Gisbert E, Lores Gutiérrez V, Gómez de la Riva Á, Pérez López C, Novo Aparicio S. Early cortical atrophy in REM sleep behavior disorder. Med Clin (Barc) 2024:S0025-7753(24)00188-X. [PMID: 38679497 DOI: 10.1016/j.medcli.2024.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 01/30/2024] [Accepted: 02/01/2024] [Indexed: 05/01/2024]
Abstract
INTRODUCTION The presence of cortical atrophy (focal or diffuse) prior to the development of symptoms of cognitive impairment could predict the earliest cases of neurodegenerative disease in patients with REM sleep behavior disorder (RSBD). We reviewed the usefulness of cranial CT and MRI as early markers of cortical atrophy in patients with RSBD at our center. PATIENTS AND METHODS Retrospective observational descriptive analysis of patients diagnosed with RSBD from October 2012 to October 2022. All with cranial CT or MRI, evaluated by a neuroradiologist. RESULTS 54 patients were included, 21 women (38.88%), 33 men (61.12%), mean age at diagnosis of RSBD: 69.04±12.625 years. Of the 54 patients, 44 (81.48%) had imaging tests consistent with their age, and 10 had atrophy greater than expected for their age. Of the 54 patients, 21 (38.88%) with a diagnosis of neurodegenerative disease, 33 (61.12%) persist as idiopathic, almost all with more than 5years of evolution (range of 1 to 10years of evolution without diagnosis). Of the 10 (18.52%) patients with greater atrophy, all were diagnosed with neurodegenerative disease (8 in 1year, 2 in 8years). CONCLUSIONS Almost half of our series have developed a neurodegenerative disease in the first 10years of evolution. The majority of them presented global cortical atrophy measured by the GCA scale in the first year of diagnosis, without other neurological symptoms. Patients who did not show cortical atrophy at diagnosis have not yet developed the neurodegenerative disease in 10years of evolution. In our experience, the absence of cortical atrophy on cranial MRI or CT (measured by scales such as GCA) at the diagnosis of RSBD seems to predict slower progression cases. These data should be corroborated with larger series.
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Affiliation(s)
- María José Abenza Abildua
- Unidad del Sueño, Sección de Neurología, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, España.
| | - Elvira Lanz Santos
- Sección de Neurorradiología, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, España
| | - Luis Moreno Domínguez
- Sección de Neurorradiología, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, España
| | - Marina Mata Álvarez-Santullano
- Unidad del Sueño, Sección de Neurología, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, España
| | - Carmen Borrue Fernández
- Unidad del Sueño, Sección de Neurología, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, España
| | - Itziar Palmí Cortés
- Unidad del Sueño, Sección de Neurología, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, España
| | - Ricardo Lobato Rodríguez
- Unidad del Sueño, Sección de Neurología, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, España
| | | | - Sonia Martínez Ubierna
- Unidad del Sueño, Sección de Neurología, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, España
| | - Ángeles Gómez Aceña A
- Unidad del Sueño, Sección de Neumología, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, España
| | - Eugenio Suárez Gisbert
- Unidad del Sueño, Servicio de Psiquiatría, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, España
| | - Vanesa Lores Gutiérrez
- Unidad del Sueño, Sección de Neumología, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, España
| | - Álvaro Gómez de la Riva
- Servicio de Neurocirugía, Complejo Hospital Universitario La Paz-Cantoblanco-CarlosIII, Madrid, España
| | - Carlos Pérez López
- Servicio de Neurocirugía, Complejo Hospital Universitario La Paz-Cantoblanco-CarlosIII, Madrid, España
| | - Susana Novo Aparicio
- Sección de Neurorradiología, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, España
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Varga Z, Keller J, Robinson SD, Serranova T, Nepozitek J, Zogala D, Trnka J, Ruzicka E, Sonka K, Dusek P. Whole brain pattern of iron accumulation in REM sleep behavior disorder. Hum Brain Mapp 2024; 45:e26675. [PMID: 38590155 PMCID: PMC11002348 DOI: 10.1002/hbm.26675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 03/10/2024] [Accepted: 03/21/2024] [Indexed: 04/10/2024] Open
Abstract
Isolated REM sleep behavior disorder (iRBD) is an early stage of synucleinopathy with most patients progressing to Parkinson's disease (PD) or related conditions. Quantitative susceptibility mapping (QSM) in PD has identified pathological iron accumulation in the substantia nigra (SN) and variably also in basal ganglia and cortex. Analyzing whole-brain QSM across iRBD, PD, and healthy controls (HC) may help to ascertain the extent of neurodegeneration in prodromal synucleinopathy. 70 de novo PD patients, 70 iRBD patients, and 60 HCs underwent 3 T MRI. T1 and susceptibility-weighted images were acquired and processed to space standardized QSM. Voxel-based analyses of grey matter magnetic susceptibility differences comparing all groups were performed on the whole brain and upper brainstem levels with the statistical threshold set at family-wise error-corrected p-values <.05. Whole-brain analysis showed increased susceptibility in the bilateral fronto-parietal cortex of iRBD patients compared to both PD and HC. This was not associated with cortical thinning according to the cortical thickness analysis. Compared to iRBD, PD patients had increased susceptibility in the left amygdala and hippocampal region. Upper brainstem analysis revealed increased susceptibility within the bilateral SN for both PD and iRBD compared to HC; changes were located predominantly in nigrosome 1 in the former and nigrosome 2 in the latter group. In the iRBD group, abnormal dopamine transporter SPECT was associated with increased susceptibility in nigrosome 1. iRBD patients display greater fronto-parietal cortex involvement than incidental early-stage PD cohort indicating more widespread subclinical neuropathology. Dopaminergic degeneration in the substantia nigra is paralleled by susceptibility increase, mainly in nigrosome 1.
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Affiliation(s)
- Zsoka Varga
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
| | - Jiri Keller
- Radiodiagnostic DepartmentNa Homolce HospitalPragueCzech Republic
| | - Simon Daniel Robinson
- Department of Biomedical Imaging and Image‐guided TherapyMedical University of ViennaAustria
| | - Tereza Serranova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
| | - Jiri Nepozitek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
| | - David Zogala
- Department of Nuclear Medicine, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
| | - Jiri Trnka
- Department of Nuclear Medicine, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
| | - Evzen Ruzicka
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
| | - Karel Sonka
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
| | - Petr Dusek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
- Department of Radiology, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
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Rodríguez-Labrada R, Canales-Ochoa N, Galicia-Polo MDL, Cruz-Rivas E, Romanzetti S, Peña-Acosta A, Estupiñán-Rodríguez A, Vázquez-Mojena Y, Dogan I, Auburger G, Reetz K, Velázquez-Pérez L. Structural Brain Correlates of Sleep Microstructure in Spinocerebellar Ataxia Type 2 and its Role on Clinical Phenotype. CEREBELLUM (LONDON, ENGLAND) 2024:10.1007/s12311-024-01674-1. [PMID: 38438827 DOI: 10.1007/s12311-024-01674-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/20/2024] [Indexed: 03/06/2024]
Abstract
The influence of brain atrophy on sleep microstructure in Spinocerebellar Ataxias (SCAs) has not been extensively explored limiting the use of these sleep traits as surrogate biomarkers of neurodegeneration and clinical phenotype. The objective of the study is to explore the relationship between sleep microstructure and brain atrophy in SCA2 and its role in the clinical phenotype. Fourteen SCA2 mutation carriers (7 pre-manifest and 7 manifest subjects) underwent polysomnographic, structural MRI, and clinical assessments. Particularly, markers of REM and non-REM sleep microstructure, measures of cerebellar and brainstem atrophy, and clinical scores were analyzed through correlation and mediation analyses. The sleep spindle activity exhibited a negative correlation with the number of trials required to complete the verbal memory test (VMT), and a positive correlation with the cerebellar volume, but the significance of the latter correlation did not survive multiple testing corrections. However, the causal mediation analyses unveiled that sleep spindle activity significantly mediates the association between cerebellar atrophy and VMT performance. Regarding REM sleep, both phasic EMG activity and REM sleep without atonia exhibited significant associations with pontine atrophy and disease severity measures. However, they did not demonstrate a causal mediation effect between the atrophy measures and disease severity. Our study provides evidence about the association of the pontocerebellar atrophy with sleep microstructure in SCA2 offering insights into the cerebellar involvement in cognition via the control of the sleep spindle activity. Therefore, our findings may help to understand the disease pathogenesis and to better characterize sleep microstructure parameters as disease biomarkers.Clinical trial registration number (TRN): No applicable.
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Affiliation(s)
- Roberto Rodríguez-Labrada
- Centre for the Research and Rehabilitation of Hereditary Ataxias, Libertad St 16 between 12 St & 16 St. 80100, Holguin, Cuba.
- Cuban Centre for Neurosciences, 190 St, between 25 St & 27 St, 11300, Playa, Havana, Cuba.
| | - Nalia Canales-Ochoa
- Centre for the Research and Rehabilitation of Hereditary Ataxias, Libertad St 16 between 12 St & 16 St. 80100, Holguin, Cuba
| | | | | | - Sandro Romanzetti
- Department of Neurology, RWTH Aachen University, Pauwelsstr. 3052074, Aachen, Germany
- JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH, RWTH Aachen University, 52074, Aachen, Germany
| | - Arnoy Peña-Acosta
- Centre for the Research and Rehabilitation of Hereditary Ataxias, Libertad St 16 between 12 St & 16 St. 80100, Holguin, Cuba
| | - Annelié Estupiñán-Rodríguez
- Centre for the Research and Rehabilitation of Hereditary Ataxias, Libertad St 16 between 12 St & 16 St. 80100, Holguin, Cuba
| | - Yaimeé Vázquez-Mojena
- Cuban Centre for Neurosciences, 190 St, between 25 St & 27 St, 11300, Playa, Havana, Cuba
| | - Imis Dogan
- Department of Neurology, RWTH Aachen University, Pauwelsstr. 3052074, Aachen, Germany
- JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH, RWTH Aachen University, 52074, Aachen, Germany
| | - Georg Auburger
- Clinic of Neurology, Experimental Neurology, Goethe University Frankfurt, University Hospital, 60590, Frankfurt, Germany
| | - Kathrin Reetz
- Department of Neurology, RWTH Aachen University, Pauwelsstr. 3052074, Aachen, Germany
- JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH, RWTH Aachen University, 52074, Aachen, Germany
| | - Luis Velázquez-Pérez
- Centre for the Research and Rehabilitation of Hereditary Ataxias, Libertad St 16 between 12 St & 16 St. 80100, Holguin, Cuba.
- Cuban Academy of Sciences, Cuba St 460, Between Teniente Rey & Amargura , 10100, Habana Vieja, Havana, Cuba.
- Department of Human Physiology, Medical University of Havana, 146 St, 3102, 11300, Playa, Havana, Cuba.
- Faculty of Chemistry, University of Havana, Zapata St Between G St & Carlitos Aguirre St., 10400, Plaza de La Revolución, Havana, Cuba.
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Oltra J, Habich A, Schwarz CG, Nedelska Z, Przybelski SA, Inguanzo A, Diaz‐Galvan P, Lowe VJ, Oppedal K, Gonzalez MC, Philippi N, Blanc F, Barkhof F, Lemstra AW, Hort J, Padovani A, Rektorova I, Bonanni L, Massa F, Kramberger MG, Taylor J, Snædal JG, Walker Z, Antonini A, Dierks T, Segura B, Junque C, Westman E, Boeve BF, Aarsland D, Kantarci K, Ferreira D. Sex differences in brain atrophy in dementia with Lewy bodies. Alzheimers Dement 2024; 20:1815-1826. [PMID: 38131463 PMCID: PMC10947875 DOI: 10.1002/alz.13571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/13/2023] [Accepted: 11/10/2023] [Indexed: 12/23/2023]
Abstract
INTRODUCTION Sex influences neurodegeneration, but it has been poorly investigated in dementia with Lewy bodies (DLB). We investigated sex differences in brain atrophy in DLB using magnetic resonance imaging (MRI). METHODS We included 436 patients from the European-DLB consortium and the Mayo Clinic. Sex differences and sex-by-age interactions were assessed through visual atrophy rating scales (n = 327; 73 ± 8 years, 62% males) and automated estimations of regional gray matter volume and cortical thickness (n = 165; 69 ± 9 years, 72% males). RESULTS We found a higher likelihood of frontal atrophy and smaller volumes in six cortical regions in males and thinner olfactory cortices in females. There were significant sex-by-age interactions in volume (six regions) and cortical thickness (seven regions) across the entire cortex. DISCUSSION We demonstrate that males have more widespread cortical atrophy at younger ages, but differences tend to disappear with increasing age, with males and females converging around the age of 75. HIGHLIGHTS Male DLB patients had higher odds for frontal atrophy on radiological visual rating scales. Male DLB patients displayed a widespread pattern of cortical gray matter alterations on automated methods. Sex differences in gray matter measures in DLB tended to disappear with increasing age.
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Affiliation(s)
- Javier Oltra
- Medical Psychology UnitDepartment of MedicineInstitute of NeuroscienceUniversity of BarcelonaBarcelonaCataloniaSpain
- Institute of Biomedical Research August Pi i Sunyer (IDIBAPS)BarcelonaCataloniaSpain
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
| | - Annegret Habich
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
- University Hospital of Psychiatry and Psychotherapy Bern, University of BernBernSwitzerland
| | | | - Zuzana Nedelska
- Memory ClinicDepartment of NeurologyCharles University2nd Faculty of Medicine and Motol University HospitalPragueCzech Republic
| | | | - Anna Inguanzo
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
| | | | - Val J. Lowe
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
| | - Ketil Oppedal
- Center for Age‐Related MedicineStavanger University HospitalStavangerNorway
- Stavanger Medical Imaging Laboratory (SMIL)Department of RadiologyStavanger University HospitalStavangerNorway
- The Norwegian Centre for Movement DisordersStavanger University HospitalStavangerNorway
| | - Maria C. Gonzalez
- Center for Age‐Related MedicineStavanger University HospitalStavangerNorway
- Stavanger Medical Imaging Laboratory (SMIL)Department of RadiologyStavanger University HospitalStavangerNorway
- The Norwegian Centre for Movement DisordersStavanger University HospitalStavangerNorway
- Department of Quality and Health TechnologyFaculty of Health SciencesUniversity of StavangerStavangerNorway
| | - Nathalie Philippi
- Geriatrics and Neurology UnitsResearch and Resources Memory Center (CM2R)Hôpitaux Universitaires de StrasbourgStrasbourgFrance
- ICube Laboratory (CNRS, UMR 7357)StrasbourgFrance
| | - Frederic Blanc
- Geriatrics and Neurology UnitsResearch and Resources Memory Center (CM2R)Hôpitaux Universitaires de StrasbourgStrasbourgFrance
- ICube Laboratory (CNRS, UMR 7357)StrasbourgFrance
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine (AMC)Amsterdam UMC, Vrije UniversiteitAmsterdamthe Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing (CMIC)University College LondonLondonUK
| | - Afina W. Lemstra
- Alzheimer Center AmsterdamNeurologyVrije Universiteit Amsterdam, Amsterdam UMC location VumcAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegeneration, Vrije Universiteit Amsterdam, Amsterdam UMC location VumcAmsterdamThe Netherlands
| | - Jakub Hort
- Memory ClinicDepartment of NeurologyCharles University2nd Faculty of Medicine and Motol University HospitalPragueCzech Republic
| | - Alessandro Padovani
- Neurology UnitDepartment of Clinical and Experimental Sciences (DSCS)University of BresciaBresciaItaly
| | - Irena Rektorova
- Brain and Mind ResearchCentral European Institute of Technology (CEITET)Masaryk UniversityBrnoCzech Republic
| | - Laura Bonanni
- Department of Medicine and Aging Sciences University G. d'Annunzio of Chieti‐Pescara ChietiChietiItaly
| | - Federico Massa
- Department of NeuroscienceRehabilitationOphthalmology, Genetics, Maternal and Child HealthUniversity of GenovaGenovaItaly
| | | | - John‐Paul Taylor
- Translational and Clinical Research InstituteFaculty of Medical SciencesNewcastle UniversityNewcastle upon TyneUK
| | | | - Zuzana Walker
- Division of PsychiatryUniversity College LondonLondonUK
- St Margaret's HospitalEssex Partnership University NHS Foundation TrustEssexUK
| | - Angelo Antonini
- Parkinson and Movement Disorders UnitStudy Center on Neurodegeneration (CESNE)PadovaItaly
| | - Thomas Dierks
- University Hospital of Psychiatry and Psychotherapy Bern, University of BernBernSwitzerland
| | - Barbara Segura
- Medical Psychology UnitDepartment of MedicineInstitute of NeuroscienceUniversity of BarcelonaBarcelonaCataloniaSpain
- Institute of Biomedical Research August Pi i Sunyer (IDIBAPS)BarcelonaCataloniaSpain
- Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED: CB06/05/0018‐ISCIII)BarcelonaCataloniaSpain
| | - Carme Junque
- Medical Psychology UnitDepartment of MedicineInstitute of NeuroscienceUniversity of BarcelonaBarcelonaCataloniaSpain
- Institute of Biomedical Research August Pi i Sunyer (IDIBAPS)BarcelonaCataloniaSpain
- Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED: CB06/05/0018‐ISCIII)BarcelonaCataloniaSpain
| | - Eric Westman
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
| | | | - Dag Aarsland
- Center for Age‐Related MedicineStavanger University HospitalStavangerNorway
- Department of Old Age PsychiatryInstitute of PsychiatryPsychology & Neuroscience (IoPPN)King's College LondonLondonUK
| | | | - Daniel Ferreira
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
- Facultad de Ciencias de la SaludUniversidad Fernando Pessoa CanariasLas PalmasEspaña
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Najafzadeh M, Mohammadian F, Mirabian S, Ganji Z, Akbari H, Rezaie M, Ranjbar E, Zare H, Nasseri S, Ferini‐Strambi L. Rapid eye movement sleep behavior disorder and its relation to Parkinson's disease: The potential of graph measures as brain biomarkers to identify the underlying physiopathology of the disorder. Brain Behav 2024; 14:e3460. [PMID: 38494747 PMCID: PMC10945078 DOI: 10.1002/brb3.3460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/09/2024] [Accepted: 02/13/2024] [Indexed: 03/19/2024] Open
Abstract
Rapid eye movement behavior disorder (RBD) is a parasomnia characterized by the loss of skeletal muscle atonia during the rapid eye movement (REM) sleep phase. On the other hand, idiopathic RDB (iRBD) is considered the prelude of the various α-synucleinopathies, including Parkinson's disease (PD), dementia with Lewy bodies and multiple system atrophy. Consequently, over 40% of patients eventually develop PD. Recent neuroimaging studies utilizing structural magnetic resonance imaging (s-MRI), diffusion-weighted imaging (DWI), and functional magnetic resonance imaging (fMRI) with graph theoretical analysis have demonstrated that patients with iRBD and Parkinson's disease have extensive brain abnormalities. Thus, it is crucial to identify new biomarkers that aid in determining the underlying physiopathology of iRBD group. This review was conducted systematically on the included full-text articles of s-MRI, DWI, and fMRI studies using graph theoretical analysis on patients with iRBD, per the procedures recommended by Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The literature search was conducted through the PubMed and Google scholar databases concentrating on studies from September to January 2022. Based on the three perspectives of integration, segregation, and centrality, the reviewed articles demonstrated that iRBD is associated with segregation disorders in frontal and limbic brain regions. Moreover, this study highlighted the need for additional longitudinal and multicenter studies to better understand the potential of graph metrics as brain biomarkers for identifying the underlying physiopathology of iRBD group.
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Affiliation(s)
- Milad Najafzadeh
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | - Fatemeh Mohammadian
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | - Sara Mirabian
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | - Zohre Ganji
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | - Hossein Akbari
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | - Masoud Rezaie
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | - Esmaeil Ranjbar
- Department of Anatomy and Cell Biology, School of MedicineMashhad University of Medical SciencesMashhadIran
| | - Hoda Zare
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
- Medical Physics Research CenterMashhad University of Medical SciencesMashhadIran
| | - Shahrokh Nasseri
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
- Medical Physics Research CenterMashhad University of Medical SciencesMashhadIran
| | - Luigi Ferini‐Strambi
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Sleep Disorders CenterSan Raffaele Scientific InstituteMilanItaly
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9
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Matsushima T, Yoshinaga K, Wakasugi N, Togo H, Hanakawa T. Functional connectivity-based classification of rapid eye movement sleep behavior disorder. Sleep Med 2024; 115:5-13. [PMID: 38295625 DOI: 10.1016/j.sleep.2024.01.019] [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: 04/23/2023] [Revised: 01/13/2024] [Accepted: 01/16/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND Isolated rapid eye movement sleep behavior disorder (iRBD) is a clinically important parasomnia syndrome preceding α-synucleinopathies, thereby prompting us to develop methods for evaluating latent brain states in iRBD. Resting-state functional magnetic resonance imaging combined with a machine learning-based classification technology may help us achieve this purpose. METHODS We developed a machine learning-based classifier using functional connectivity to classify 55 patients with iRBD and 97 healthy elderly controls (HC). Selecting 55 HCs randomly from the HC dataset 100 times, we conducted a classification of iRBD and HC for each sampling, using functional connectivity. Random forest ranked the importance of functional connectivity, which was subsequently used for classification with logistic regression and a support vector machine. We also conducted correlation analysis of the selected functional connectivity with subclinical variations in motor and non-motor functions in the iRBDs. RESULTS Mean classification performance using logistic regression was 0.649 for accuracy, 0.659 for precision, 0.662 for recall, 0.645 for f1 score, and 0.707 for the area under the receiver operating characteristic curve (p < 0.001 for all). The result was similar in the support vector machine. The classifier used functional connectivity information from nine connectivities across the motor and somatosensory areas, parietal cortex, temporal cortex, thalamus, and cerebellum. Inter-individual variations in functional connectivity were correlated with the subclinical motor and non-motor symptoms of iRBD patients. CONCLUSIONS Machine learning-based classifiers using functional connectivity may be useful to evaluate latent brain states in iRBD.
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Affiliation(s)
- Toma Matsushima
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-8501, Japan; Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Koganei, Tokyo, 184-8588, Japan
| | - Kenji Yoshinaga
- Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Noritaka Wakasugi
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-8501, Japan
| | - Hiroki Togo
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-8501, Japan; Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Takashi Hanakawa
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-8501, Japan; Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan.
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10
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Mala C, Havlík F, Mana J, Nepožitek J, Dostálová S, Růžička E, Šonka K, Keller J, Jech R, Dušek P, Bezdicek O, Krupička R. Cortical and subcortical morphometric changes and their relation to cognitive impairment in isolated REM sleep behavior disorder. Neurol Sci 2024; 45:613-627. [PMID: 37670125 PMCID: PMC10791856 DOI: 10.1007/s10072-023-07040-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 08/24/2023] [Indexed: 09/07/2023]
Abstract
OBJECTIVE To date, very few studies have focused on structural changes and their association with cognitive performance in isolated REM sleep behaviour disorder (iRBD). Moreover, the results of these studies are inconclusive. This study aims to evaluate differences in the associations between brain morphology and cognitive tests in iRBD and healthy controls. METHODS Sixty-three patients with iRBD and thirty-six controls underwent MRI with a 3 T scanner. The cognitive performance was assessed by a comprehensive neuropsychological battery. Based on performance, the iRBD group was divided into two subgroups with (iRBD-MCI) and without mild cognitive impairment (iRBD-NC). The high-resolution T1-weighted images were analysed using an automated atlas segmentation tool, voxel-based (VBM) and deformation-based (DBM) morphometry to identify between-group differences and correlations with cognitive performance. RESULTS VBM, DBM and the comparison of ROI volumes yielded no significant differences between iRBD and controls. In the iRBD group, significant correlations in VBM were found between several cortical and subcortical structures primarily located in the temporal, parietal, occipital lobe, cerebellum, and basal ganglia and three cognitive tests assessing psychomotor speed and one memory test. Between-group analysis of cognition revealed a significant difference between iRBD-MCI and iRBD-NC in tests including a processing speed component. CONCLUSIONS iRBD shows deficits in several cognitive tests that correlate with morphological changes, the most prominent of which is in psychomotor speed and visual attention as measured by the TMT-A and associated with the volume of striatum, insula, cerebellum, temporal lobe, pallidum and amygdala.
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Affiliation(s)
- Christiane Mala
- Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Filip Havlík
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.
| | - Josef Mana
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Jiří Nepožitek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Simona Dostálová
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Evžen Růžička
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Karel Šonka
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Jiří Keller
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
| | - Robert Jech
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Petr Dušek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Ondrej Bezdicek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Radim Krupička
- Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in Prague, Prague, Czech Republic
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11
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Zhang C, Zhu DM, Zhang Y, Chen T, Liu S, Chen J, Cai H, Zhu J, Yu Y. Neural substrates underlying REM sleep duration in patients with major depressive disorder: A longitudinal study combining multimodal MRI data. J Affect Disord 2024; 344:546-553. [PMID: 37848093 DOI: 10.1016/j.jad.2023.10.090] [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: 08/20/2023] [Revised: 10/11/2023] [Accepted: 10/13/2023] [Indexed: 10/19/2023]
Abstract
INTRODUCTION Prior studies have discussed rapid eye movement (REM) sleep disturbance as a potential endophenotype of major depressive disorder (MDD). However, the neural substrates underlying the percentage of REM sleep duration (REM%) and its association with disease progression in MDD remain unclear. METHODS One hundred and fourteen MDD patients and 74 healthy controls (HCs) underwent resting-state functional and perfusion magnetic resonance imaging (MRI) scans as well as overnight polysomnography examination to assess brain function and REM%, with 48 patients completing follow-up visits. Correlation and mediation analyses were conducted to investigate the associations among baseline REM%, multimodal brain imaging measures, and the improvement of depressive symptoms at follow-up in MDD. RESULTS We found voxel-wise correlations between baseline REM% and multimodal brain imaging metrics in many brain regions involved in sensorimotor, visual processing, emotion, and cognition in patients with MDD. Moreover, the baseline REM% was correlated with the improvement of depressive symptoms from acute to remitted status in patients through regulating brain activity in the left inferior temporal gyrus and cerebral blood flow in the bilateral paracentral lobule. CONCLUSION Our findings help to identify the neural underpinnings of REM% in depression and highlight REM% as a potential prognostic biomarker to predict disease progression. These may inform future novel interventions of MDD from the perspective of regulating REM sleep.
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Affiliation(s)
- Cun Zhang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China
| | - Dao-Min Zhu
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei 230022, China; Hefei Fourth People's Hospital, Hefei 230022, China; Anhui Mental Health Center, Hefei 230022, China
| | - Yu Zhang
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei 230022, China; Hefei Fourth People's Hospital, Hefei 230022, China; Anhui Mental Health Center, Hefei 230022, China
| | - Tao Chen
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei 230022, China; Hefei Fourth People's Hospital, Hefei 230022, China; Anhui Mental Health Center, Hefei 230022, China
| | - Siyu Liu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China
| | - Jingyao Chen
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China
| | - Huanhuan Cai
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China.
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China.
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12
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Zhao G, Cheng Y, Wang M, Wu Y, Yan J, Feng K, Yin S. Exploring the network effects of deep brain stimulation for rapid eye movement sleep behavior disorder in Parkinson's disease. Acta Neurochir (Wien) 2023; 165:3375-3384. [PMID: 37770797 DOI: 10.1007/s00701-023-05806-0] [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: 07/03/2023] [Accepted: 09/07/2023] [Indexed: 09/30/2023]
Abstract
BACKGROUND The research findings on the effects of subthalamic nucleus (STN) deep brain stimulation (DBS) in Parkinson's disease (PD) with Rapid Eye Movement Sleep Behavior Disorder (RBD) are inconsistent, and there is a lack of research on DBS electrode sites and their network effects for the explanation of the differences. Our objective is to explore the optimal stimulation sites (that is the sweet spot) and the brain network effects of STN-DBS for RBD in PD. METHODS In this study, among the 50 PD patients who underwent STN-DBS treatment, 24 PD patients with RBD were screened. According to clinical scores and imaging data, the sweet spot of STN-DBS was analyzed in PD patients with RBD, and the optimal structure and functional network models of subthalamic stimulation were constructed. RESULTS Bilateral STN-DBS can effectively improve the symptoms of RBD and other non-motor symptoms in 24 PD patients with RBD. RBD Questionnaire-Hong Kong (RBDQ-HK) score was 41.33 ± 17.45 at baseline and 30.83 ± 15.83 at 1-year follow-up, with statistical significance between them (P < 0.01). However, the MoCA score was an exception with a baseline of 22.04 ± 4.28 and a 1-year follow-up of 21.58 ± 4.33, showing no statistical significance (P = 0.12). The sweet spot and optimal network connectivity models for RBD improvement have been validated as effective. CONCLUSIONS Bilateral STN-DBS can improve the symptoms of RBD in PD. There exist the sweet spot and brain network effects of bilateral STN-DBS in the treatment of PD with RBD. Our study also demonstrates that RBD is a brain network disease.
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Affiliation(s)
- Guangrui Zhao
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300070, China
- Department of Neurosurgery, Lu'an Hospital Affiliated to Anhui Medical University, Lu'an, 237000, China
| | - Yifeng Cheng
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300070, China
- Department of Neurosurgery, Huanhu Hospital, Tianjin University, Tianjin, 300350, China
| | - Min Wang
- Department of Neurology, Huanhu Hospital, Tianjin University, Tianjin, 300350, China
| | - Yuzhang Wu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300070, China
| | - Jingtao Yan
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300070, China
| | - Keke Feng
- Department of Neurosurgery, Huanhu Hospital, Tianjin University, Tianjin, 300350, China.
| | - Shaoya Yin
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, 300070, China.
- Department of Neurosurgery, Huanhu Hospital, Tianjin University, Tianjin, 300350, China.
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13
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Grimaldi S, Guye M, Bianciardi M, Eusebio A. Brain MRI Biomarkers in Isolated Rapid Eye Movement Sleep Behavior Disorder: Where Are We? A Systematic Review. Brain Sci 2023; 13:1398. [PMID: 37891767 PMCID: PMC10604962 DOI: 10.3390/brainsci13101398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 09/22/2023] [Accepted: 09/28/2023] [Indexed: 10/29/2023] Open
Abstract
The increasing number of MRI studies focused on prodromal Parkinson's Disease (PD) demonstrates a strong interest in identifying early biomarkers capable of monitoring neurodegeneration. In this systematic review, we present the latest information regarding the most promising MRI markers of neurodegeneration in relation to the most specific prodromal symptoms of PD, namely isolated rapid eye movement (REM) sleep behavior disorder (iRBD). We reviewed structural, diffusion, functional, iron-sensitive, neuro-melanin-sensitive MRI, and proton magnetic resonance spectroscopy studies conducted between 2000 and 2023, which yielded a total of 77 relevant papers. Among these markers, iron and neuromelanin emerged as the most robust and promising indicators for early neurodegenerative processes in iRBD. Atrophy was observed in several regions, including the frontal and temporal cortices, limbic cortices, and basal ganglia, suggesting that neurodegenerative processes had been underway for some time. Diffusion and functional MRI produced heterogeneous yet intriguing results. Additionally, reduced glymphatic clearance function was reported. Technological advancements, such as the development of ultra-high field MRI, have enabled the exploration of minute anatomical structures and the detection of previously undetectable anomalies. The race to achieve early detection of neurodegeneration is well underway.
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Affiliation(s)
- Stephan Grimaldi
- Department of Neurology and Movement Disorders, APHM, Hôpital Universitaire Timone, 265 rue Saint-Pierre, 13005 Marseille, France
- Centre d’Exploration Métabolique par Résonnance Magnétique, Assistance Publique des Hôpitaux de Marseille, Hôpital Universitaire Timone, 265 rue Saint-Pierre, 13005 Marseille, France
- Center for Magnetic Resonance in Biology and Medicine, Aix Marseille University, Centre National de la Recherche Scientifique, 27 Bd Jean Moulin, 13385 Marseille, France
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, 149 13th St., Charlestown, MA 02129, USA
| | - Maxime Guye
- Centre d’Exploration Métabolique par Résonnance Magnétique, Assistance Publique des Hôpitaux de Marseille, Hôpital Universitaire Timone, 265 rue Saint-Pierre, 13005 Marseille, France
- Center for Magnetic Resonance in Biology and Medicine, Aix Marseille University, Centre National de la Recherche Scientifique, 27 Bd Jean Moulin, 13385 Marseille, France
| | - Marta Bianciardi
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, 149 13th St., Charlestown, MA 02129, USA
- Division of Sleep Medicine, Harvard University, Boston, MA 02114, USA
| | - Alexandre Eusebio
- Department of Neurology and Movement Disorders, APHM, Hôpital Universitaire Timone, 265 rue Saint-Pierre, 13005 Marseille, France
- Institut de Neurosciences de la Timone, Aix Marseille University, Centre National de la Recherche Scientifique, 27 Bd Jean Moulin, 13385 Marseille, France
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14
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Rahayel S, Tremblay C, Vo A, Misic B, Lehéricy S, Arnulf I, Vidailhet M, Corvol JC, Gagnon JF, Postuma RB, Montplaisir J, Lewis S, Matar E, Ehgoetz Martens K, Borghammer P, Knudsen K, Hansen AK, Monchi O, Gan-Or Z, Dagher A. Mitochondrial function-associated genes underlie cortical atrophy in prodromal synucleinopathies. Brain 2023; 146:3301-3318. [PMID: 36826230 PMCID: PMC10393413 DOI: 10.1093/brain/awad044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 01/12/2023] [Accepted: 02/03/2023] [Indexed: 02/25/2023] Open
Abstract
Isolated rapid eye movement sleep behaviour disorder (iRBD) is a sleep disorder characterized by the loss of rapid eye movement sleep muscle atonia and the appearance of abnormal movements and vocalizations during rapid eye movement sleep. It is a strong marker of incipient synucleinopathy such as dementia with Lewy bodies and Parkinson's disease. Patients with iRBD already show brain changes that are reminiscent of manifest synucleinopathies including brain atrophy. However, the mechanisms underlying the development of this atrophy remain poorly understood. In this study, we performed cutting-edge imaging transcriptomics and comprehensive spatial mapping analyses in a multicentric cohort of 171 polysomnography-confirmed iRBD patients [67.7 ± 6.6 (49-87) years; 83% men] and 238 healthy controls [66.6 ± 7.9 (41-88) years; 77% men] with T1-weighted MRI to investigate the gene expression and connectivity patterns associated with changes in cortical thickness and surface area in iRBD. Partial least squares regression was performed to identify the gene expression patterns underlying cortical changes in iRBD. Gene set enrichment analysis and virtual histology were then done to assess the biological processes, cellular components, human disease gene terms, and cell types enriched in these gene expression patterns. We then used structural and functional neighbourhood analyses to assess whether the atrophy patterns in iRBD were constrained by the brain's structural and functional connectome. Moreover, we used comprehensive spatial mapping analyses to assess the specific neurotransmitter systems, functional networks, cytoarchitectonic classes, and cognitive brain systems associated with cortical changes in iRBD. All comparisons were tested against null models that preserved spatial autocorrelation between brain regions and compared to Alzheimer's disease to assess the specificity of findings to synucleinopathies. We found that genes involved in mitochondrial function and macroautophagy were the strongest contributors to the cortical thinning occurring in iRBD. Moreover, we demonstrated that cortical thinning was constrained by the brain's structural and functional connectome and that it mapped onto specific networks involved in motor and planning functions. In contrast with cortical thickness, changes in cortical surface area were related to distinct genes, namely genes involved in the inflammatory response, and to different spatial mapping patterns. The gene expression and connectivity patterns associated with iRBD were all distinct from those observed in Alzheimer's disease. In summary, this study demonstrates that the development of brain atrophy in synucleinopathies is constrained by specific genes and networks.
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Affiliation(s)
- Shady Rahayel
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada
- Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal H4J 1C5, Canada
| | - Christina Tremblay
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada
| | - Andrew Vo
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada
| | - Bratislav Misic
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada
| | - Stéphane Lehéricy
- Institut du Cerveau–Paris Brain Institute–ICM, INSERM, CNRS, Sorbonne Université, Paris 75013, France
| | - Isabelle Arnulf
- Institut du Cerveau–Paris Brain Institute–ICM, INSERM, CNRS, Sorbonne Université, Paris 75013, France
| | - Marie Vidailhet
- Institut du Cerveau–Paris Brain Institute–ICM, INSERM, CNRS, Sorbonne Université, Paris 75013, France
| | - Jean-Christophe Corvol
- Institut du Cerveau–Paris Brain Institute–ICM, INSERM, CNRS, Sorbonne Université, Paris 75013, France
| | - Jean-François Gagnon
- Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal H4J 1C5, Canada
- Department of Psychology, University of Quebec in Montreal, Montreal H2X 3P2, Canada
- Research Centre, Institut universitaire de gériatrie de Montréal, Montreal H3W 1W5, Canada
| | - Ronald B Postuma
- Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal H4J 1C5, Canada
- Department of Neurology, Montreal General Hospital, Montreal H3G 1A4, Canada
| | - Jacques Montplaisir
- Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal H4J 1C5, Canada
- Department of Psychiatry, University of Montreal, Montreal H3T 1J4, Canada
| | - Simon Lewis
- ForeFront Parkinson’s Disease Research Clinic, Brain and Mind Centre, University of Sydney, Camperdown NSW 2050, Australia
| | - Elie Matar
- ForeFront Parkinson’s Disease Research Clinic, Brain and Mind Centre, University of Sydney, Camperdown NSW 2050, Australia
| | - Kaylena Ehgoetz Martens
- ForeFront Parkinson’s Disease Research Clinic, Brain and Mind Centre, University of Sydney, Camperdown NSW 2050, Australia
- Department of Kinesiology, University of Waterloo, Waterloo N2L 3G1, Canada
| | - Per Borghammer
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus DK-8200, Denmark
| | - Karoline Knudsen
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus DK-8200, Denmark
| | - Allan K Hansen
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus DK-8200, Denmark
| | - Oury Monchi
- Research Centre, Institut universitaire de gériatrie de Montréal, Montreal H3W 1W5, Canada
- Department of Radiology, Radio-Oncology, and Nuclear Medicine, University of Montreal, Montreal H3T 1A4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal H3A 1A1, Canada
| | - Ziv Gan-Or
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal H3A 1A1, Canada
- Department of Human Genetics, McGill University, Montreal H3A 0C7, Canada
| | - Alain Dagher
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal H3A 1A1, Canada
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15
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Figorilli M, Meloni M, Lanza G, Casaglia E, Lecca R, Saibene FL, Congiu P, Puligheddu M. Considering REM Sleep Behavior Disorder in the Management of Parkinson's Disease. Nat Sci Sleep 2023; 15:333-352. [PMID: 37180094 PMCID: PMC10167974 DOI: 10.2147/nss.s266071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 04/25/2023] [Indexed: 05/15/2023] Open
Abstract
Rapid eye movement (REM) sleep behavior disorder (RBD) is the result of the loss of physiological inhibition of muscle tone during REM sleep, characterized by dream-enacting behavior and widely recognized as a prodromal manifestation of alpha-synucleinopathies. Indeed, patients with isolated RBD (iRBD) have an extremely high estimated risk to develop a neurodegenerative disease after a long follow up. Nevertheless, in comparison with PD patients without RBD (PDnoRBD), the occurrence of RBD in the context of PD (PDRBD) seems to identify a unique, more malignant phenotype, characterized by a more severe burden of disease in terms of both motor and non-motor symptoms and increased risk for cognitive decline. However, while some medications (eg, melatonin, clonazepam, etc.) and non-pharmacological options have been found to have some therapeutic benefits on RBD there is no available treatment able to modify the disease course or, at least, slow down the neurodegenerative process underlying phenoconversion. In this scenario, the long prodromal phase may allow an early therapeutic window and, therefore, the identification of multimodal biomarkers of disease onset and progression is becoming increasingly crucial. To date, several clinical (motor, cognitive, olfactory, visual, and autonomic features) neurophysiological, neuroimaging, biological (biofluids or tissue biopsy), and genetic biomarkers have been identified and proposed, also in combination, as possible diagnostic or prognostic markers, along with a potential role for some of them as outcome measures and index of treatment response. In this review, we provide an insight into the present knowledge on both existing and future biomarkers of iRBD and highlight the difference with PDRBD and PDnoRBD, including currently available treatment options.
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Affiliation(s)
- Michela Figorilli
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Mario Meloni
- IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Giuseppe Lanza
- Department of Surgery and Medical-Surgical Specialties, University of Catania, Catania, Italy
- Clinical Neurophysiology Research Unit, Oasi Research Institute-IRCCS, Troina, Italy
| | - Elisa Casaglia
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Rosamaria Lecca
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | | | - Patrizia Congiu
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Monica Puligheddu
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
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16
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Azzarito M, Emmenegger T, Ziegler G, Huber E, Grabher P, Callaghan MF, Thompson A, Friston K, Weiskopf N, Killeen T, Freund P. Coherent, time-shifted patterns of microstructural plasticity during motor-skill learning. Neuroimage 2023; 274:120128. [PMID: 37116765 DOI: 10.1016/j.neuroimage.2023.120128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 04/14/2023] [Accepted: 04/17/2023] [Indexed: 04/30/2023] Open
Abstract
Motor skill learning relies on neural plasticity in the motor and limbic systems. However, the spatial and temporal characteristics of these changes-and their microstructural underpinnings-remain unclear. Eighteen healthy males received 1 hour of training in a computer-based motion game, 4 times a week, for 4 consecutive weeks, while 14 untrained participants underwent scanning only. Performance improvements were observed in all trained participants. Serial myelin- and iron-sensitive multiparametric mapping at 3T during this period of intensive motor skill acquisition revealed temporally and spatially distributed, performance-related microstructural changes in the grey and white matter across a corticospinal-cerebellar-hippocampal circuit. Analysis of the trajectory of these transient changes suggested time-shifted cascades of plasticity from the dominant sensorimotor system to the contralateral hippocampus. In the cranial corticospinal tracts, changes in myelin-sensitive metrics during training in the posterior limb of the internal capsule were of greater magnitude in those who trained their upper limbs vs. lower limb trainees. Motor skill learning is associated with waves of grey and white matter plasticity, across a broad sensorimotor network.
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Affiliation(s)
- Michela Azzarito
- Spinal Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Tim Emmenegger
- Spinal Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Gabriel Ziegler
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Eveline Huber
- Spinal Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Patrick Grabher
- Spinal Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Martina F Callaghan
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Alan Thompson
- Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, UK
| | - Karl Friston
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Nikolaus Weiskopf
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany
| | - Tim Killeen
- Spinal Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Patrick Freund
- Spinal Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland; Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK; Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
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17
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Oltra J, Habich A, Schwarz CG, Nedelska Z, Przybelski SA, Inguanzo A, Diaz-Galvan P, Lowe VJ, Oppedal K, Blanc F, Lemstra AW, Hort J, Padovani A, Rektorova I, Bonanni L, Massa F, Kramberge MG, Taylor JP, Snædal J, Walker Z, Antonini A, Segura B, Junque C, Westman E, Boeve BF, Aarsland D, Kantarci K, Ferreira D. Sex differences in brain atrophy in dementia with Lewy bodies. RESEARCH SQUARE 2023:rs.3.rs-2516427. [PMID: 36747755 PMCID: PMC9901042 DOI: 10.21203/rs.3.rs-2516427/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Background and objectives Sex is an important contributing factor to neuroimaging phenotypes in brain disorders. However, little is known about the contribution of sex differences to the neurodegeneration in dementia with Lewy bodies (DLB). We investigated sex differences in probable DLB patients by using both visual rating scales of lobar atrophy and automated estimations of regional atrophy. Methods We included 442 probable DLB patients from the European-DLB consortium and the Mayo Clinic who have magnetic resonance imaging (MRI) data available. We assessed sex differences and the sex-by-age interaction in two largely independent samples through visual rating scales of lobar atrophy (n = 333; mean age 73 ± 8 years, 62% males) and automated regional estimations of gray matter (GM) volume and mean cortical thickness (CTh) (n = 165; mean age 69 ± 9 years, 72% males). We used binary logistic regression and ANOVA for statistical analysis. Results We found a statistically significantly higher likelihood of frontal atrophy measured by the global cortical atrophy-frontal subscale (GCA-F) in males (40% of males had an abnormal GCA-F score versus 29% of females, P-value = 0.006). Using automated estimations, we found smaller GM volumes in 6 cortical regions in males compared with females, as well as smaller GM volume in the entorhinal cortex and thinner olfactory cortices in females, compared with males. The sex-by-age interaction showed statistically significant results in 6 cortical volumes and 7 mean CTh estimations (P-value ≤ 0.05), accentuated in the right middle frontal gyrus (FDR-adjusted P-value = 0.047). These cross-sectional interactions indicated that while females have statistically significantly less atrophy than males at younger ages, differences become non-significant at older ages, with females showing the same level of atrophy than males around the age of 75. Conclusions This study demonstrates sex differences on brain atrophy in probable DLB. While male DLB patients have a more widespread pattern of cortical atrophy at younger ages, these sex differences tend to disappear with increasing age. Longitudinal studies will help establish these cross-sectional findings and inform on sex and age considerations to the use of MRI in clinical routine, as the field moves towards precision medicine.
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18
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Resting-state network connectivity changes in drug-naive Parkinson's disease patients with probable REM sleep behavior disorder. J Neural Transm (Vienna) 2023; 130:43-51. [PMID: 36474090 DOI: 10.1007/s00702-022-02565-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 11/01/2022] [Indexed: 12/12/2022]
Abstract
Epidemiological studies have shown that Parkinson's disease (PD) patients with probable REM sleep behavior disorder (pRBD) present an increased risk of worse cognitive progression over the disease course. The aim of this study was to investigate, using resting-state functional MRI (RS-fMRI), the functional connectivity (FC) changes associated with the presence of pRBD in a cohort of newly diagnosed, drug-naive and cognitively unimpaired PD patients compared to healthy controls (HC). Fifty-six drug-naïve patients (25 PD-pRBD+ and 31 PD-pRBD-) and 23 HC underwent both RS-fMRI and clinical assessment. Single-subject and group-level independent component analysis was used to analyze intra- and inter-network FC differences within the major large-scale neurocognitive networks, namely the default mode (DMN), frontoparietal (FPN), salience (SN) and executive-control (ECN) networks. Widespread FC changes were found within the most relevant neurocognitive networks in PD patients compared to HC. Moreover, PD-pRBD+ patients showed abnormal intrinsic FC within the DMN, ECN and SN compared to PD-pRBD-. Finally, PD-pRBD+ patients showed functional decoupling between left and right FPN. In the present study, we revealed that FC changes within the most relevant neurocognitive networks are already detectable in early drug-naïve PD patients, even in the absence of clinical overt cognitive impairment. These changes are even more evident in PD patients with RBD, potentially leading to profound impairment in cognitive processing and cognitive/behavioral integration, as well as to fronto-striatal maladaptive compensatory mechanisms.
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19
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Xu S, Faust O, Seoni S, Chakraborty S, Barua PD, Loh HW, Elphick H, Molinari F, Acharya UR. A review of automated sleep disorder detection. Comput Biol Med 2022; 150:106100. [PMID: 36182761 DOI: 10.1016/j.compbiomed.2022.106100] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 09/04/2022] [Accepted: 09/12/2022] [Indexed: 12/22/2022]
Abstract
Automated sleep disorder detection is challenging because physiological symptoms can vary widely. These variations make it difficult to create effective sleep disorder detection models which support hu-man experts during diagnosis and treatment monitoring. From 2010 to 2021, authors of 95 scientific papers have taken up the challenge of automating sleep disorder detection. This paper provides an expert review of this work. We investigated whether digital technology and Artificial Intelligence (AI) can provide automated diagnosis support for sleep disorders. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines during the content discovery phase. We compared the performance of proposed sleep disorder detection methods, involving differ-ent datasets or signals. During the review, we found eight sleep disorders, of which sleep apnea and insomnia were the most studied. These disorders can be diagnosed using several kinds of biomedical signals, such as Electrocardiogram (ECG), Polysomnography (PSG), Electroencephalogram (EEG), Electromyogram (EMG), and snore sound. Subsequently, we established areas of commonality and distinctiveness. Common to all reviewed papers was that AI models were trained and tested with labelled physiological signals. Looking deeper, we discovered that 24 distinct algorithms were used for the detection task. The nature of these algorithms evolved, before 2017 only traditional Machine Learning (ML) was used. From 2018 onward, both ML and Deep Learning (DL) methods were used for sleep disorder detection. The strong emergence of DL algorithms has considerable implications for future detection systems because these algorithms demand significantly more data for training and testing when compared with ML. Based on our review results, we suggest that both type and amount of labelled data is crucial for the design of future sleep disorder detection systems because this will steer the choice of AI algorithm which establishes the desired decision support. As a guiding principle, more labelled data will help to represent the variations in symptoms. DL algorithms can extract information from these larger data quantities more effectively, therefore; we predict that the role of these algorithms will continue to expand.
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Affiliation(s)
- Shuting Xu
- Cogninet Brain Team, Sydney, NSW, 2010, Australia
| | - Oliver Faust
- Anglia Ruskin University, East Rd, Cambridge CB1 1PT, UK.
| | - Silvia Seoni
- Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy
| | - Subrata Chakraborty
- School of Science and Technology, Faculty of Science, Agriculture, Business and Law, University of New England, Armidale, NSW, 2351, Australia; Centre for Advanced Modelling and Geospatial Lnformation Systems (CAMGIS), Faculty of Engineer and Information Technology, University of Technology Sydney, Sydney, NSW, 2007, Australia
| | - Prabal Datta Barua
- Cogninet Brain Team, Sydney, NSW, 2010, Australia; Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, 2007, Australia; School of Business (Information System), University of Southern Queensland, Australia
| | - Hui Wen Loh
- School of Science and Technology, Singapore University of Social Sciences, 463 Clementi Road, 599494, Singapore
| | | | - Filippo Molinari
- Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy
| | - U Rajendra Acharya
- School of Business (Information System), University of Southern Queensland, Australia; School of Science and Technology, Singapore University of Social Sciences, 463 Clementi Road, 599494, Singapore; Department of Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore; Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan.
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20
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Geng C, Zhang H. Research progress on neuromolecular imaging of REM sleep behavior disorder. Front Neurol 2022; 13:1009907. [PMID: 36299269 PMCID: PMC9589429 DOI: 10.3389/fneur.2022.1009907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 09/21/2022] [Indexed: 11/28/2022] Open
Abstract
Idiopathic rapid eye movement sleep behavior disorder (iRBD) is an important non-motor complication of Parkinson's disease. At the same time, iRBD is considered to be the prodromal stage of α-synucleinopathy. This high risk of conversion suggests that iRBD becomes a nerve It is a window for early research on degenerative diseases and is the best candidate for neuroprotection trials. A wide range of neuroimaging techniques has improved our understanding of iRBD as a prodromal stage of the disease. In addition, neuroimaging of abnormal iRBD is expected to be a potential biomarker for predicting clinical phenotypic transformation. This article reviews the research progress of neuromolecular imaging in patients with iRBD from the perspective of iRBD transforming synucleinopathies.
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Affiliation(s)
- Chaofan Geng
- Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
| | - Hongju Zhang
- Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
- Department of Neurology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
- *Correspondence: Hongju Zhang
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21
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Byun JI, Oh S, Sunwoo JS, Shin JW, Kim TJ, Jun JS, Kim HJ, Shin WC, Seong JK, Jung KY. White matter tract-specific microstructural disruption is associated with depressive symptoms in isolated RBD. Neuroimage Clin 2022; 36:103186. [PMID: 36116164 PMCID: PMC9483791 DOI: 10.1016/j.nicl.2022.103186] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 07/23/2022] [Accepted: 09/02/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVE White matter (WM) tract-specific changes may precede gray matter loss in isolated rapid eye movement sleep behavior disorder (iRBD). We aimed to evaluate tract-specific WM changes using tract-specific statistical analysis (TSSA) and their correlation with clinical variables in iRBD patients. METHODS This was a cross-sectional single-center study of 50 polysomnography-confirmed iRBD patients and 20 age- and sex-matched controls. We used TSSA to identify tract-specific fractional anisotropy (FA) and mean diffusivity (MD) in fourteen major fiber tracts and analyzed between-group differences in these values. Correlations between FA or MD values and clinical variables, including RBD symptom severity, depression and cognition, were evaluated. RESULTS Patients with iRBD showed lower FA in the right anterior thalamic radiation (ATR) and higher MD in the bilateral ATR and right inferior fronto-occipital fasciculus (IF-OF) than controls after adjusting for age, sex, and years of education. MD values in the IF-OF positively correlated with scores on the Korean version of the Rapid Eye Movement Sleep Behavior Disorder Questionnaire-Hong Kong (RBDQ-KR, p = 0.042) and the Korean version of the geriatric depression scale (GDS-K, p = 0.002) in iRBD patients. Only GDS-K scores independently correlated with IF-OF MD values after adjusting for RBDQ-KR scores (adjusted p = 0.026). CONCLUSION This study suggests WM microstructural disruption in the bilateral ATR and right IF-OF in patients with iRBD and that alterations in the IF-OF may contribute to depressive symptoms.
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Affiliation(s)
- Jung-Ick Byun
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Seunghwan Oh
- Department of Artificial Intelligence, Korea University, Seoul, South Korea
| | - Jun-Sang Sunwoo
- Department of Neurology, Kangbuk Samsung Hospital, Seoul, Korea
| | - Jung-Won Shin
- Department of Neurology, CHA University, CHA Bundang Medical Center, Seongnam, South Korea
| | - Tae-Joon Kim
- Department of Neurology, Ajou University School of Medicine, Suwon, Republic of South Korea
| | - Jin-Sun Jun
- Department of Neurology, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Han-Joon Kim
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Won Chul Shin
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Joon-Kyung Seong
- Department of Artificial Intelligence, Korea University, Seoul, South Korea,Interdisciplinary Program in Precision Public Health, Korea University, Seoul, South Korea,School of Biomedical Engineering, Korea University, Seoul, South Korea,Corresponding authors at: School of Biomedical Engineering, Korea University, 145, Anam-ro, Anam-dong 5-ga, Seongbuk-gu, Seoul 02841, South Korea (Joon-Kyung Seong), Department of Neurology, Seoul National University Hospital, Neuroscience Research Institute, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul 110-744, South Korea (Ki-Young Jung)
| | - Ki-Young Jung
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea,Corresponding authors at: School of Biomedical Engineering, Korea University, 145, Anam-ro, Anam-dong 5-ga, Seongbuk-gu, Seoul 02841, South Korea (Joon-Kyung Seong), Department of Neurology, Seoul National University Hospital, Neuroscience Research Institute, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul 110-744, South Korea (Ki-Young Jung)
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22
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Kim R, Kim H, Kim YK, Yoon EJ, Nam HW, Jeon B, Lee J. Brain Metabolic Correlates of Dopaminergic Denervation in Prodromal and Early Parkinson's Disease. Mov Disord 2022; 37:2099-2109. [DOI: 10.1002/mds.29177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 06/22/2022] [Accepted: 07/12/2022] [Indexed: 11/10/2022] Open
Affiliation(s)
- Ryul Kim
- Department of Neurology Inha University Hospital, Inha University College of Medicine Incheon South Korea
| | - Heejung Kim
- Institute of Radiation Medicine, Medical Research Center Seoul National University Seoul South Korea
- Department of Nuclear Medicine Seoul Metropolitan Government – Seoul National University Boramae Medical Center Seoul South Korea
| | - Yu Kyeong Kim
- Department of Nuclear Medicine Seoul Metropolitan Government – Seoul National University Boramae Medical Center Seoul South Korea
- Memory Network Medical Research Center Seoul National University Seoul South Korea
| | - Eun Jin Yoon
- Department of Nuclear Medicine Seoul Metropolitan Government – Seoul National University Boramae Medical Center Seoul South Korea
- Memory Network Medical Research Center Seoul National University Seoul South Korea
| | - Hyun Woo Nam
- Department of Neurology Seoul Metropolitan Government–Seoul National University Boramae Medical Center, Seoul National University College of Medicine Seoul South Korea
| | - Beomseok Jeon
- Department of Neurology Seoul National University Hospital, Seoul National University College of Medicine Seoul South Korea
| | - Jee‐Young Lee
- Department of Neurology Seoul Metropolitan Government–Seoul National University Boramae Medical Center, Seoul National University College of Medicine Seoul South Korea
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23
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Ota Y, Kanel P, Bohnen N. Imaging of sleep disorders in pre-Parkinsonian syndromes. Curr Opin Neurol 2022; 35:443-452. [PMID: 35788559 PMCID: PMC9308698 DOI: 10.1097/wco.0000000000001084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW Neuroimaging has been advanced in the last years and enabled clinicians to evaluate sleep disorders, especially isolated rapid eye movement sleep disorder (iRBD), which can be seen in alpha-synucleinopathies. iRBD is the best prodromal clinical marker for phenoconversion to these neurodegenerative diseases. This review aims to provide an update on advanced neuroimaging biomarkers in iRBD. RECENT FINDINGS Advanced structural MRI techniques, such as diffusion tensor imaging and functional MRI, neuromelanin-sensitive MRI, and scintigraphic neuroimaging such as cholinergic PET, dopamine transporter imaging - single-photon emission computerized tomography, perfusional single-photon emission computerized tomography, and cardiac metaiodobenzylguanidine can provide diagnostic and prognostic imaging biomarkers for iRBD, in isolation and more robustly when combined. SUMMARY New advanced neuroimaging can provide imaging biomarkers and aid in the appropriate clinical assessment and future therapeutic trials.
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Affiliation(s)
- Yoshiaki Ota
- The Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Prabesh Kanel
- The Division of Nuclear Medicine, Department of Radiology, University of Michigan, Ann Arbor, MI, USA
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI, USA
- University of Michigan Parkinson’s Foundation Research Center of Excellence, Ann Arbor, MI, USA
| | - Nicolaas Bohnen
- The Division of Nuclear Medicine, Department of Radiology, University of Michigan, Ann Arbor, MI, USA
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI, USA
- University of Michigan Parkinson’s Foundation Research Center of Excellence, Ann Arbor, MI, USA
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
- GRECC & Neurology Service, VAAAHS, Ann Arbor, MI, USA
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24
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Valli M, Uribe C, Mihaescu A, Strafella AP. Neuroimaging of rapid eye movement sleep behavior disorder and its relation to Parkinson's disease. J Neurosci Res 2022; 100:1815-1833. [DOI: 10.1002/jnr.25099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 05/10/2022] [Accepted: 06/08/2022] [Indexed: 11/12/2022]
Affiliation(s)
- Mikaeel Valli
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health University of Toronto Toronto Ontario Canada
- Division of Brain, Imaging and Behaviour – Systems Neuroscience, Krembil Brain Institute, UHN University of Toronto Toronto Ontario Canada
- Institute of Medical Science University of Toronto Toronto Ontario Canada
| | - Carme Uribe
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health University of Toronto Toronto Ontario Canada
- Medical Psychology Unit, Department of Medicine, Institute of Neuroscience University of Barcelona Barcelona Spain
| | - Alexander Mihaescu
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health University of Toronto Toronto Ontario Canada
- Division of Brain, Imaging and Behaviour – Systems Neuroscience, Krembil Brain Institute, UHN University of Toronto Toronto Ontario Canada
- Institute of Medical Science University of Toronto Toronto Ontario Canada
| | - Antonio P. Strafella
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health University of Toronto Toronto Ontario Canada
- Division of Brain, Imaging and Behaviour – Systems Neuroscience, Krembil Brain Institute, UHN University of Toronto Toronto Ontario Canada
- Institute of Medical Science University of Toronto Toronto Ontario Canada
- Edmond J. Safra Parkinson Disease Program & Morton and Gloria Shulman Movement Disorder Unit, Neurology Division, Department of Medicine, Toronto Western Hospital, UHN University of Toronto Toronto Ontario Canada
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Rahayel S, Tremblay C, Vo A, Zheng YQ, Lehéricy S, Arnulf I, Vidailhet M, Corvol JC, Gagnon JF, Postuma RB, Montplaisir J, Lewis S, Matar E, Ehgoetz Martens K, Borghammer P, Knudsen K, Hansen A, Monchi O, Misic B, Dagher A. Brain atrophy in prodromal synucleinopathy is shaped by structural connectivity and gene expression. Brain 2022; 145:3162-3178. [PMID: 35594873 DOI: 10.1093/brain/awac187] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 05/06/2022] [Accepted: 05/12/2022] [Indexed: 11/14/2022] Open
Abstract
Isolated REM sleep behaviour disorder (iRBD) is a synucleinopathy characterized by abnormal behaviours and vocalizations during REM sleep. Most iRBD patients develop dementia with Lewy bodies, Parkinson's disease, or multiple system atrophy over time. Patients with iRBD exhibit brain atrophy patterns that are reminiscent of those observed in overt synucleinopathies. However, the mechanisms linking brain atrophy to the underlying alpha-synuclein pathophysiology are poorly understood. Our objective was to investigate how the prion-like and regional vulnerability hypotheses of alpha-synuclein might explain brain atrophy in iRBD. Using a multicentric cohort of 182 polysomnography-confirmed iRBD patients who underwent T1-weighted MRI, we performed vertex-based cortical surface and deformation-based morphometry analyses to quantify brain atrophy in patients (67.8 years, 84% men) and 261 healthy controls (66.2 years, 75%) and investigated the morphological correlates of motor and cognitive functioning in iRBD. Next, we applied the agent-based Susceptible-Infected-Removed model (i.e., a computational model that simulates in silico the spread of pathologic alpha-synuclein based on structural connectivity and gene expression) and tested if it recreated atrophy in iRBD by statistically comparing simulated regional brain atrophy to the atrophy observed in patients. The impact of SNCA and GBA gene expression and brain connectivity was then evaluated by comparing the model fit to the one obtained in null models where either gene expression or connectivity was randomized. The results showed that iRBD patients present with cortical thinning and tissue deformation, which correlated with motor and cognitive functioning. Next, we found that the computational model recreated cortical thinning (r = 0.51, p = 0.0007) and tissue deformation (r = 0.52, p = 0.0005) in patients, and that the connectome's architecture along with SNCA and GBA gene expression contributed to shaping atrophy in iRBD. We further demonstrated that the full agent-based model performed better than network measures or gene expression alone in recreating the atrophy pattern in iRBD. In summary, atrophy in iRBD is extensive, correlates with motor and cognitive function, and can be recreated using the dynamics of agent-based modelling, structural connectivity, and gene expression. These findings support the concepts that both prion-like spread and regional susceptibility account for the atrophy observed in prodromal synucleinopathies. Therefore, the agent-based Susceptible-Infected-Removed model may be a useful tool for testing hypotheses underlying neurodegenerative diseases and new therapies aimed at slowing or stopping the spread of alpha-synuclein pathology.
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Affiliation(s)
- Shady Rahayel
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada.,Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal H4J 1C5, Montreal, Canada
| | - Christina Tremblay
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada
| | - Andrew Vo
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada
| | - Ying-Qiu Zheng
- Wellcome Centre for Integrative Neuroimaging, Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom
| | - Stéphane Lehéricy
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris 75013, France
| | - Isabelle Arnulf
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris 75013, France
| | - Marie Vidailhet
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris 75013, France
| | - Jean-Christophe Corvol
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris 75013, France
| | | | - Jean-François Gagnon
- Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal H4J 1C5, Montreal, Canada.,Department of Psychology, Université du Québec à Montréal, Montreal H2X 3P2, Canada.,Research Centre, Institut universitaire de gériatrie de Montréal, Montreal H3W 1W5, Canada
| | - Ronald B Postuma
- Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal H4J 1C5, Montreal, Canada.,Department of Neurology, Montreal General Hospital, Montreal H3G 1A4, Canada
| | - Jacques Montplaisir
- Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal H4J 1C5, Montreal, Canada.,Department of Psychiatry, Université de Montréal, Montreal H3 T 1J4, Canada
| | - Simon Lewis
- ForeFront Parkinson's Disease Research Clinic, Brain and Mind Centre, University of Sydney, Camperdown NSW 2050, Australia
| | - Elie Matar
- ForeFront Parkinson's Disease Research Clinic, Brain and Mind Centre, University of Sydney, Camperdown NSW 2050, Australia
| | - Kaylena Ehgoetz Martens
- ForeFront Parkinson's Disease Research Clinic, Brain and Mind Centre, University of Sydney, Camperdown NSW 2050, Australia.,Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo N2L 3G1, Canada
| | - Per Borghammer
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus DK-8200, Denmark
| | - Karoline Knudsen
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus DK-8200, Denmark
| | - Allan Hansen
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus DK-8200, Denmark
| | - Oury Monchi
- Research Centre, Institut universitaire de gériatrie de Montréal, Montreal H3W 1W5, Canada.,Departments of Clinical Neurosciences, Radiology, and Hotchkiss Brain Institute, University of Calgary, Calgary T2N 4N1, Canada
| | - Bratislav Misic
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada
| | - Alain Dagher
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal H3A 2B4, Canada
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Chen S, Wang SH, Bai YY, Zhang JW, Zhang HJ. Comparative Study on Topological Properties of the Whole-Brain Functional Connectome in Idiopathic Rapid Eye Movement Sleep Behavior Disorder and Parkinson’s Disease Without RBD. Front Aging Neurosci 2022; 14:820479. [PMID: 35478699 PMCID: PMC9036484 DOI: 10.3389/fnagi.2022.820479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 03/07/2022] [Indexed: 11/18/2022] Open
Abstract
Purpose Idiopathic rapid eye movement Sleep Behavior Disorder (iRBD) is considered as a prodromal and most valuable warning symptom for Parkinson’s disease (PD). Although iRBD and PD without RBD (nRBD-PD) are both α-synucleinopathies, whether they share the same neurodegeneration process is not clear enough. In this study, the pattern and extent of neurodegeneration were investigated and compared between early-stage nRBD-PD and iRBD from the perspective of whole-brain functional network changes. Methods Twenty-one patients with iRBD, 23 patients with early-stage nRBD-PD, and 22 matched healthy controls (HCs) were enrolled. Functional networks were constructed using resting-state functional MRI (fMRI) data. Network topological properties were analyzed and compared among groups by graph theory approaches. Correlation analyses were performed between network topological properties and cognition in the iRBD and nRBD-PD groups. Results Both patients with iRBD and patients with early-stage nRBD-PD had attention, executive function, and some memory deficits. On global topological organization, iRBD and nRBD-PD groups still presented small-worldness, but both groups exhibited decreased global/local efficiency and increased characteristic path length. On regional topological organization, compared with HC, nRBD-PD presented decreased nodal efficiency, decreased degree centrality, and increased nodal shortest path length, while iRBD presented decreased nodal efficiency and nodal shortest path. For iRBD, brain regions with decreased nodal efficiency were included in the corresponding regions of nRBD-PD. Nodal shortest path changes were significantly different in terms of brain regions and directions between nRBD-PD and iRBD. Attention deficits were correlated with local topological properties of the occipital lobe in both iRBD and nRBD-PD groups. Conclusion Both global and local efficiency of functional networks declined in nRBD-PD and iRBD groups. The overlaps and differences in local topological properties between nRBD-PD and iRBD indicate that iRBD not only shares functional changes of PD but also presents distinct features.
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Paulekiene G, Pajarskiene M, Pajediene E, Radziunas A. Sleep Dysfunction and Grey Matter Volume. Curr Neurol Neurosci Rep 2022; 22:275-283. [PMID: 35364772 DOI: 10.1007/s11910-022-01190-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/14/2022] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW With the voxel-based morphometry (VBM), structural imaging studies turned into new directions aiming to explore neurological disorders differently. This approach helps identify possible pathophysiological correlations between neuroanatomical grey matter (GM) structures in patients with sleep dysfunction. This article reviews recent findings on GM structure in various sleep disorders and possible causes of disturbed sleep and discusses the future perspectives. RECENT FINDINGS At present, research on the effect of GM volume changes in specific brain areas on the pathogenesis of sleep disturbances is incomplete. It remains unknown if the GM thickness reduction in patients with REM sleep behaviour disorder, obstructive sleep apnea, restless legs syndrome, and insomnia is due to complex disease presentation or direct response to disturbed sleep. Additionally, many VBM studies have yielded inconsistent results showing either reduction or increase in GM. The spatiotemporal complexity of whole-brain networks and state transitions during sleep and the role of GM changes increase new debates. Having multimodal data from large sample studies can help model sleep network dynamics in different disorders and provide novel data for possible therapeutic interventions.
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Affiliation(s)
- Gintare Paulekiene
- Department of Neurology, Medical Academy, Lithuanian University of Health Sciences, Kaunas , Lithuania
| | - Milda Pajarskiene
- Department of Neurology, Medical Academy, Lithuanian University of Health Sciences, Kaunas , Lithuania
| | - Evelina Pajediene
- Department of Neurology, Medical Academy, Lithuanian University of Health Sciences, Kaunas , Lithuania.
| | - Andrius Radziunas
- Department of Neurosurgery, Medical Academy, Lithuanian University of Health Sciences , Kaunas, Lithuania
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28
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Makarious MB, Leonard HL, Vitale D, Iwaki H, Sargent L, Dadu A, Violich I, Hutchins E, Saffo D, Bandres-Ciga S, Kim JJ, Song Y, Maleknia M, Bookman M, Nojopranoto W, Campbell RH, Hashemi SH, Botia JA, Carter JF, Craig DW, Van Keuren-Jensen K, Morris HR, Hardy JA, Blauwendraat C, Singleton AB, Faghri F, Nalls MA. Multi-modality machine learning predicting Parkinson's disease. NPJ Parkinsons Dis 2022; 8:35. [PMID: 35365675 PMCID: PMC8975993 DOI: 10.1038/s41531-022-00288-w] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 02/01/2022] [Indexed: 02/06/2023] Open
Abstract
Personalized medicine promises individualized disease prediction and treatment. The convergence of machine learning (ML) and available multimodal data is key moving forward. We build upon previous work to deliver multimodal predictions of Parkinson's disease (PD) risk and systematically develop a model using GenoML, an automated ML package, to make improved multi-omic predictions of PD, validated in an external cohort. We investigated top features, constructed hypothesis-free disease-relevant networks, and investigated drug-gene interactions. We performed automated ML on multimodal data from the Parkinson's progression marker initiative (PPMI). After selecting the best performing algorithm, all PPMI data was used to tune the selected model. The model was validated in the Parkinson's Disease Biomarker Program (PDBP) dataset. Our initial model showed an area under the curve (AUC) of 89.72% for the diagnosis of PD. The tuned model was then tested for validation on external data (PDBP, AUC 85.03%). Optimizing thresholds for classification increased the diagnosis prediction accuracy and other metrics. Finally, networks were built to identify gene communities specific to PD. Combining data modalities outperforms the single biomarker paradigm. UPSIT and PRS contributed most to the predictive power of the model, but the accuracy of these are supplemented by many smaller effect transcripts and risk SNPs. Our model is best suited to identifying large groups of individuals to monitor within a health registry or biobank to prioritize for further testing. This approach allows complex predictive models to be reproducible and accessible to the community, with the package, code, and results publicly available.
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Affiliation(s)
- Mary B Makarious
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
- UCL Movement Disorders Centre, University College London, London, UK
| | - Hampton L Leonard
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International LLC, Glen Echo, MD, USA
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Dan Vitale
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International LLC, Glen Echo, MD, USA
| | - Hirotaka Iwaki
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International LLC, Glen Echo, MD, USA
| | - Lana Sargent
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
- School of Nursing, Virginia Commonwealth University, Richmond, VA, USA
- Geriatric Pharmacotherapy Program, School of Pharmacy, Virginia Commonwealth University, Richmond, VA, USA
| | - Anant Dadu
- Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Ivo Violich
- Institute of Translational Genomics, University of Southern California, Los Angeles, CA, USA
| | - Elizabeth Hutchins
- Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - David Saffo
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA
| | - Sara Bandres-Ciga
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Jonggeol Jeff Kim
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
| | - Yeajin Song
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International LLC, Glen Echo, MD, USA
| | | | - Matt Bookman
- Verily Life Sciences, South San Francisco, CA, USA
| | | | - Roy H Campbell
- Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Sayed Hadi Hashemi
- Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Juan A Botia
- Department of Molecular Neuroscience, UCL Queen Square Institute of Neurology, London, UK
- Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain
| | | | - David W Craig
- Institute of Translational Genomics, University of Southern California, Los Angeles, CA, USA
| | | | - Huw R Morris
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
- UCL Movement Disorders Centre, University College London, London, UK
| | - John A Hardy
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
- UCL Movement Disorders Centre, University College London, London, UK
- UK Dementia Research Institute and Department of Neurodegenerative Disease and Reta Lila Weston Institute, London, UK
- Institute for Advanced Study, The Hong Kong University of Science and Technology, Hong Kong, Hong Kong SAR, China
| | - Cornelis Blauwendraat
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Andrew B Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
| | - Faraz Faghri
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA.
- Data Tecnica International LLC, Glen Echo, MD, USA.
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA.
- Data Tecnica International LLC, Glen Echo, MD, USA.
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Geng C, Wang S, Li Z, Xu P, Bai Y, Zhou Y, Zhang X, Li Y, Zhang J, Zhang H. Resting-State Functional Network Topology Alterations of the Occipital Lobe Associated With Attention Impairment in Isolated Rapid Eye Movement Behavior Disorder. Front Aging Neurosci 2022; 14:844483. [PMID: 35431890 PMCID: PMC9012114 DOI: 10.3389/fnagi.2022.844483] [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: 12/28/2021] [Accepted: 02/11/2022] [Indexed: 11/13/2022] Open
Abstract
PurposeThis study investigates the topological properties of brain functional networks in patients with isolated rapid eye movement sleep behavior disorder (iRBD).Participants and MethodsA total of 21 patients with iRBD (iRBD group) and 22 healthy controls (HCs) were evaluated using resting-state functional MRI (rs-fMRI) and neuropsychological measures in cognitive and motor function. Data from rs-fMRI were analyzed using graph theory, which included small-world properties, network efficiency, network local efficiency, nodal shortest path, node efficiency, and network connectivity, as well as the relationship between behavioral characteristics and altered brain topological features.ResultsRey-Osterrieth complex figure test (ROCFT-copy), symbol digital modalities test (SDMT), auditory verbal learning test (AVLT)-N1, AVLT-N2, AVLT-N3, and AVLT-N1-3 scores were significantly lower in patients with iRBD than in HC (P < 0.05), while trail making test A (TMT-A), TMT-B, and Unified Parkinson’s Disease Rating Scale Part-III (UPDRS-III) scores were higher in patients with iRBD (P < 0.05). Compared with the HCs, patients with iRBD had no difference in the small-world attributes (P > 0.05). However, there was a significant decrease in network global efficiency (P = 0.0052) and network local efficiency (P = 0.0146), while an increase in characteristic path length (P = 0.0071). There was lower nodal efficiency in occipital gyrus and nodal shortest path in frontal, parietal, temporal lobe, and cingulate gyrus. Functional connectivities were decreased between the nodes of occipital with the regions where they had declined nodal shortest path. There was a positive correlation between TMT-A scores and the nodal efficiency of the right middle occipital gyrus (R = 0.602, P = 0.014).ConclusionThese results suggest that abnormal behaviors may be associated with disrupted brain network topology and functional connectivity in patients with iRBD and also provide novel insights to understand pathophysiological mechanisms in iRBD.
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Affiliation(s)
- Chaofan Geng
- Henan University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Shenghui Wang
- Department of Neurology, Zhengzhou University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Zhonglin Li
- Department of Radiology, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Pengfei Xu
- Henan University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Yingying Bai
- Department of Neurology, Zhengzhou University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Yao Zhou
- Department of Neurology, Zhengzhou University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Xinyu Zhang
- Department of Neurology, Henan Provincial People’s Hospital Affiliated to Xinxiang Medical University, Zhengzhou, China
| | - Yongli Li
- Department of Functional Imaging, Henan Key Laboratory for Medical Imaging of Neurological Diseases, Zhengzhou, China
| | - Jiewen Zhang
- Department of Neurology, Zhengzhou University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Hongju Zhang
- Henan University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Neurology, Zhengzhou University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Neurology, Henan Provincial People’s Hospital Affiliated to Xinxiang Medical University, Zhengzhou, China
- *Correspondence: Hongju Zhang,
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de Natale ER, Wilson H, Politis M. Predictors of RBD progression and conversion to synucleinopathies. Curr Neurol Neurosci Rep 2022; 22:93-104. [PMID: 35274191 PMCID: PMC9001233 DOI: 10.1007/s11910-022-01171-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/15/2021] [Indexed: 12/17/2022]
Abstract
Purpose of review Rapid eye movement (REM) sleep behaviour disorder (RBD) is considered the expression of the initial neurodegenerative process underlying synucleinopathies and constitutes the most important marker of their prodromal phase. This article reviews recent research from longitudinal research studies in isolated RBD (iRBD) aiming to describe the most promising progression biomarkers of iRBD and to delineate the current knowledge on the level of prediction of future outcome in iRBD patients at diagnosis. Recent findings Longitudinal studies revealed the potential value of a variety of biomarkers, including clinical markers of motor, autonomic, cognitive, and olfactory symptoms, neurophysiological markers such as REM sleep without atonia and electroencephalography, genetic and epigenetic markers, cerebrospinal fluid and serum markers, and neuroimaging markers to track the progression and predict phenoconversion. To-date the most promising neuroimaging biomarker in iRBD to aid the prediction of phenoconversion is striatal presynaptic striatal dopaminergic dysfunction. Summary There is a variety of potential biomarkers for monitoring disease progression and predicting iRBD conversion into synucleinopathies. A combined multimodal biomarker model could offer a more sensitive and specific tool. Further longitudinal studies are warranted to iRBD as a high-risk population for early neuroprotective interventions and disease-modifying therapies.
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Affiliation(s)
| | - Heather Wilson
- Neurodegeneration Imaging Group, University of Exeter Medical School, London, UK
| | - Marios Politis
- Neurodegeneration Imaging Group, University of Exeter Medical School, London, UK.
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A multidisciplinary perspective on the complex interactions between sleep, circadian, and metabolic disruption in cancer patients. Cancer Metastasis Rev 2021; 40:1055-1071. [PMID: 34958429 PMCID: PMC8825432 DOI: 10.1007/s10555-021-10010-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 12/08/2021] [Indexed: 01/24/2023]
Abstract
Sleep is a basic need that is frequently set aside in modern societies. This leads to profound but complex physiological maladaptations in the body commonly referred to as circadian disruption, which recently has been characterized as a carcinogenic factor and reason for poor treatment outcomes, shortened survival, and reduced quality of life in cancer patients. As sleep and circadian physiology in cancer patients spans several disciplines including nursing science, neurology, oncology, molecular biology and medical technology, there is a lack of comprehensive and integrated approaches to deal with this serious and growing issue and at best a fractionated understanding of only part of the problem among researchers within each of these segments. Here, we take a multidisciplinary approach to comprehensively review the diagnosis and impact of sleep and circadian disruption in cancer patients. We discuss recent discoveries on molecular regulation of the circadian clock in healthy and malignant cells, the neurological and endocrine pathways controlling sleep and circadian rhythmicity, and their inputs to and outputs from the organism. The benefits and drawbacks of the various technologies, devices, and instruments used to assess sleep and circadian function, as well as the known consequences of sleep disruption and how sleep can be corrected in cancer patients, will be analyzed. We will throughout the review highlight the extensive crosstalk between sleep, circadian rhythms, and metabolic pathways involved in malignancy and identify current knowledge gaps and barriers for addressing the issue of sleep and circadian disruption in cancer patients. By addressing these issues, we hope to provide a foundation for further research as well as better and more effective care for the patients in the future.
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32
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Brcina N, Hohenfeld C, Heidbreder A, Mirzazade S, Krahe J, Wojtala J, Binkofski F, Schulz JB, Schiefer J, Reetz K, Dogan I. Increased neural motor activation and functional reorganization in patients with idiopathic rapid eye movement sleep behavior disorder. Parkinsonism Relat Disord 2021; 92:76-82. [PMID: 34715608 DOI: 10.1016/j.parkreldis.2021.10.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 10/05/2021] [Accepted: 10/18/2021] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Altered brain activity and functional reorganization patterns during self-initiated movements have been reported in early pre-motor and motor stages of Parkinson's disease. The aim of this study was to investigate whether similar alterations can be observed in patients with idiopathic REM-sleep behavior disorder (RBD). METHODS 13 polysomnography-confirmed male and right-handed RBD patients and 13 healthy controls underwent a bilateral hand-movement fMRI task including internally selected (INT) and externally-guided (EXT) movement conditions for each hand. We examined functional activity and connectivity differences between groups and task-conditions, structural differences using voxel-based morphometry, as well as associations between functional activity and clinical variables. RESULTS No group differences were observed in fMRI-task performance or in voxel-based morphometry. Both groups showed faster reaction times and exhibited greater neural activation when movements were internally selected compared to externally-guided tasks. Compared to controls, RBD patients displayed stronger activation in the dorsolateral prefrontal cortex and primary somatosensory cortex during INT-tasks, and in the right fronto-insular cortex during EXT-tasks performed with the non-dominant hand. Stronger activation in RBD patients was associated with cognitive and olfactory impairment. Connectivity analysis demonstrated overall less interregional coupling in patients compared to controls. In particular, patients showed reduced temporo-cerebellar, occipito-cerebellar and intra-cerebellar connectivity, but stronger connectivity in fronto-cerebellar and fronto-occipital pathways. CONCLUSION The observed stronger activation during hand-movement tasks and connectivity changes in RBD may reflect early compensatory and reorganization patterns in order to preserve motor functioning. Our findings may contribute to a better understanding and prognosis of prodromal stages of α-synucleinopathies.
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Affiliation(s)
- Nikolina Brcina
- RWTH Aachen University, Department of Neurology, Aachen, Germany
| | - Christian Hohenfeld
- RWTH Aachen University, Department of Neurology, Aachen, Germany; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Juelich Research Center GmbH and RWTH Aachen University, Aachen, Germany
| | - Anna Heidbreder
- Department of Neurology with Institute of Sleep Medicine and Neuromuscular Disease, University Hospital Muenster, Muenster, Germany; Medical University Innsbruck, Department of Neurology, Innsbruck, Austria
| | - Shahram Mirzazade
- RWTH Aachen University, Department of Neurology, Aachen, Germany; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Juelich Research Center GmbH and RWTH Aachen University, Aachen, Germany
| | - Janna Krahe
- RWTH Aachen University, Department of Neurology, Aachen, Germany; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Juelich Research Center GmbH and RWTH Aachen University, Aachen, Germany
| | - Jennifer Wojtala
- RWTH Aachen University, Department of Neurology, Aachen, Germany; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Juelich Research Center GmbH and RWTH Aachen University, Aachen, Germany
| | - Ferdinand Binkofski
- Division for Clinical Cognitive Sciences, Department of Neurology, University Hospital RWTH, Aachen, Germany; Institute for Neuroscience and Medicine (INM-4), Research Center Juelich GmbH, Germany
| | - Jörg B Schulz
- RWTH Aachen University, Department of Neurology, Aachen, Germany; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Juelich Research Center GmbH and RWTH Aachen University, Aachen, Germany
| | | | - Kathrin Reetz
- RWTH Aachen University, Department of Neurology, Aachen, Germany; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Juelich Research Center GmbH and RWTH Aachen University, Aachen, Germany.
| | - Imis Dogan
- RWTH Aachen University, Department of Neurology, Aachen, Germany; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Juelich Research Center GmbH and RWTH Aachen University, Aachen, Germany
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Jiménez-Jiménez FJ, Alonso-Navarro H, García-Martín E, Agúndez JAG. Neurochemical Features of Rem Sleep Behaviour Disorder. J Pers Med 2021; 11:jpm11090880. [PMID: 34575657 PMCID: PMC8468296 DOI: 10.3390/jpm11090880] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Revised: 08/30/2021] [Accepted: 08/30/2021] [Indexed: 12/13/2022] Open
Abstract
Dopaminergic deficiency, shown by many studies using functional neuroimaging with Single Photon Emission Computerized Tomography (SPECT) and Positron Emission Tomography (PET), is the most consistent neurochemical feature of rapid eye movement (REM) sleep behaviour disorder (RBD) and, together with transcranial ultrasonography, and determination of alpha-synuclein in certain tissues, should be considered as a reliable marker for the phenoconversion of idiopathic RBD (iRBD) to a synucleopathy (Parkinson’s disease –PD- or Lewy body dementia -LBD). The possible role in the pathogenesis of RBD of other neurotransmitters such as noradrenaline, acetylcholine, and excitatory and inhibitory neurotransmitters; hormones such as melatonin, and proinflammatory factors have also been suggested by recent reports. In general, brain perfusion and brain glucose metabolism studies have shown patterns resembling partially those of PD and LBD. Finally, the results of structural and functional MRI suggest the presence of structural changes in deep gray matter nuclei, cortical gray matter atrophy, and alterations in the functional connectivity within the basal ganglia, the cortico-striatal, and the cortico-cortical networks, but they should be considered as preliminary.
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Affiliation(s)
- Félix Javier Jiménez-Jiménez
- Section of Neurology, Hospital Universitario del Sureste, Arganda del Rey, C/Marroquina 14, 3 B, E28030 Madrid, Spain;
- Correspondence: or ; Tel.: +34-636968395; Fax: +34-913280704
| | - Hortensia Alonso-Navarro
- Section of Neurology, Hospital Universitario del Sureste, Arganda del Rey, C/Marroquina 14, 3 B, E28030 Madrid, Spain;
| | - Elena García-Martín
- UNEx, ARADyAL, Instituto de Salud Carlos III, University Institute of Molecular Pathology, E10071 Cáceres, Spain; (E.G.-M.); (J.A.G.A.)
| | - José A. G. Agúndez
- UNEx, ARADyAL, Instituto de Salud Carlos III, University Institute of Molecular Pathology, E10071 Cáceres, Spain; (E.G.-M.); (J.A.G.A.)
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