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Hanania JU, Reimers E, Bevington CWJ, Sossi V. PET-based brain molecular connectivity in neurodegenerative disease. Curr Opin Neurol 2024; 37:353-360. [PMID: 38813843 DOI: 10.1097/wco.0000000000001283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2024]
Abstract
PURPOSE OF REVIEW Molecular imaging has traditionally been used and interpreted primarily in the context of localized and relatively static neurochemical processes. New understanding of brain function and development of novel molecular imaging protocols and analysis methods highlights the relevance of molecular networks that co-exist and interact with functional and structural networks. Although the concept and evidence of disease-specific metabolic brain patterns has existed for some time, only recently has such an approach been applied in the neurotransmitter domain and in the context of multitracer and multimodal studies. This review briefly summarizes initial findings and highlights emerging applications enabled by this new approach. RECENT FINDINGS Connectivity based approaches applied to molecular and multimodal imaging have uncovered molecular networks with neurodegeneration-related alterations to metabolism and neurotransmission that uniquely relate to clinical findings; better disease stratification paradigms; an improved understanding of the relationships between neurochemical and functional networks and their related alterations, although the directionality of these relationships are still unresolved; and a new understanding of the molecular underpinning of disease-related alteration in resting-state brain activity. SUMMARY Connectivity approaches are poised to greatly enhance the information that can be extracted from molecular imaging. While currently mostly contributing to enhancing understanding of brain function, they are highly likely to contribute to the identification of specific biomarkers that will improve disease management and clinical care.
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Affiliation(s)
| | - Erik Reimers
- Department of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
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Raheel K, See QR, Munday V, Fakhroo B, Ivanenko O, Salvatelli ML, Mutti C, Goadsby PJ, Delogu A, Naismith SL, Holland P, Parrino L, Chaudhuri KR, Rosenzweig I. Orexin and Sleep Disturbances in Alpha-Synucleinopathies: a Systematic Review. Curr Neurol Neurosci Rep 2024:10.1007/s11910-024-01359-6. [PMID: 39031323 DOI: 10.1007/s11910-024-01359-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/02/2024] [Indexed: 07/22/2024]
Abstract
PURPOSE OF REVIEW Sleep disturbances are amongst most frequent non-motor symptoms of Parkinson's Disease (PD), and they are similarly frequently reported in other alpha-syncleinopathies, such as Dementia with Lewy Bodies (DLB) and Multiple System Atrophy (MSA). More recently, the orexin system has been implicated in control of arousal based on salient environmental set points, and its dysregulation in sleep issues in alpha-synucleinopathies suggested by the findings from the translational animal models. However, its role in the patients with alpha-synucleinopathies remains unclear. We thus set to systematically review, and to critically assess, contemporary evidence on the association of the orexinergic system and sleep disturbances in alpha-synucleinopathies. In this systematic review, studies investigating orexin and sleep in alpha-synucleinopathies (Rapid Eye Movement (REM) Behaviour Disorder (RBD), Parkinson's Disease (PD), Dementia with Lewy Bodies (DLB), Multiple System Atrophy (MSA)) were identified using electronic database searches of PubMed, Web of Science and PsychINFO using MeSH terms, keywords, and title words such as "Alpha-synucleinopathies" AND "Orexin" AND "Sleep Disturbances". RECENT FINDINGS 17 studies were included in this systemic review, of which 2 studies on RBD, 10 on PD, 4 on DLB, and 1 on MSA patients. Taken together, RBD and PD studies suggest a potential adaptive increase in orexin levels in early stages of the neurodegenerative process, with reduced levels more often reported for later, more advanced stages of illness. To date, no differences in orexin levels were demonstrated between MSA patients and healthy controls. There is a dearth of studies on the role of orexin levels in alpha-synucleinopathies. Moreover, significant methodologic limitations in the current body of work, including use of non-standardised research protocols and lack of prospective, multi-centre studies, disallow for any finite conclusion in regards to underlying pathomechanisms. Nonetheless, a picture of a complex, multifaceted relationship between the dysregulation of the orexinergic pathway and sleep disturbances in alpha-synucleinopathies is emerging. Hence, future studies disentangling orexinergic pathomechanisms of alpha-syncleinopathies are urgently needed to obtain a more comprehensive account of the role of orexinergic pathway in alpha-synucleinopathies. Pharmacological manipulations of orexins may have multiple therapeutic applications in treatment strategies, disease diagnosis, and might be effective for treating both motor and non-motor symptoms.
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Affiliation(s)
- Kausar Raheel
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Qi Rui See
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Veronica Munday
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Basma Fakhroo
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Olga Ivanenko
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Marcello Luigi Salvatelli
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, De Crespigny Park, London, SE5 8AF, UK
- Sleep Disorders Center, Department of General and Specialized Medicine, University Hospital of Parma, 43125, Parma, Italy
| | - Carlotta Mutti
- Sleep Disorders Center, Department of General and Specialized Medicine, University Hospital of Parma, 43125, Parma, Italy
| | - Peter J Goadsby
- NIHR-Wellcome Trust King's Clinical Research Facility, King's College London, London, WC2R 2LS, UK
| | - Alessio Delogu
- Basic and Clinical Neuroscience, IoPPN, King's College London, London, WC2R 2LS, UK
| | - Sharon L Naismith
- Healthy Brain Ageing Program, School of Psychology; Brain and Mind Centre, The University of Sydney, & Charles Perkins Centre, Camperdown, Sydney, Australia
| | - Phil Holland
- Basic and Clinical Neuroscience, IoPPN, King's College London, London, WC2R 2LS, UK
| | - Liborio Parrino
- Sleep Disorders Center, Department of General and Specialized Medicine, University Hospital of Parma, 43125, Parma, Italy
- Department of Medicine and Surgery, Neurology Unit, University of Parma, 43125, Parma, Italy
| | - K Ray Chaudhuri
- Movement Disorders Unit, King's College Hospital and Department of Clinical and Basic Neurosciences, Institute of Psychiatry, Psychology & Neuroscience and Parkinson Foundation Centre of Excellence, King's College London, London, UK
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, De Crespigny Park, London, SE5 8AF, UK.
- Sleep Disorders Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK.
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Kobayashi R, Iwata-Endo K, Fujishiro H. Clinical presentations and diagnostic application of proposed biomarkers in psychiatric-onset prodromal dementia with Lewy bodies. Psychogeriatrics 2024; 24:1004-1022. [PMID: 38837629 DOI: 10.1111/psyg.13147] [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: 04/05/2024] [Revised: 05/19/2024] [Accepted: 05/21/2024] [Indexed: 06/07/2024]
Abstract
Research criteria for the diagnosis of prodromal dementia with Lewy bodies (DLB) include three clinical subtypes: mild cognitive impairment with Lewy bodies (MCI-LB), delirium-onset prodromal DLB, and psychiatric-onset prodromal DLB. Late-onset psychiatric manifestations are at a higher risk of developing dementia, but its relation to prodromal DLB remains unclear. In addition to the risk of severe antipsychotic hypersensitivity reactions, accurate discrimination from non-DLB cases is important due to the potential differences in management and prognosis. This article aims to review a rapidly evolving psychiatric topic and outline clinical pictures of psychiatric-onset prodromal DLB, including the proposed biomarker findings of MCI-LB: polysomnography-confirmed rapid eye movement sleep behaviour disorder, cardiac [123I]metaiodobenzylguanidine scintigraphy, and striatal dopamine transporter imaging. We first reviewed clinical pictures of patients with autopsy-confirmed DLB. Regarding clinical reports, we focused on the patients who predominantly presented with psychiatric manifestations and subsequently developed DLB. Thereafter, we reviewed clinical studies regarding the diagnostic applications of the proposed biomarkers to patients with late-onset psychiatric disorders. Clinical presentations were mainly late-onset depression and psychosis; however, other clinical manifestations were also reported. Psychotropic medications before a DLB diagnosis may cause extrapyramidal signs, and potentially influences the proposed biomarker findings. These risks complicate clinical manifestation interpretation during the management of psychiatric symptoms. Longitudinal follow-up studies with standardised evaluations until conversion to DLB are needed to investigate the temporal trajectories of core features and proposed biomarker findings. In patients with late-onset psychiatric disorders, identification of patients with psychiatric-onset prodromal DLB provides the opportunity to better understanding the distinct prognostic subgroup that is at great risk of incident dementia. Advances in the establishment of direct biomarkers for the detection of pathological α-synuclein may encourage reorganising the phenotypic variability of prodromal DLB.
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Affiliation(s)
- Ryota Kobayashi
- Department of Psychiatry, Yamagata University School of Medicine, Yamagata, Japan
| | - Kuniyuki Iwata-Endo
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hiroshige Fujishiro
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Zheng Y, Li Y, Cai H, Kou W, Yang C, Li S, Wang J, Zhang N, Feng T. Alterations of Peripheral Lymphocyte Subsets in Isolated Rapid Eye Movement Sleep Behavior Disorder. Mov Disord 2024; 39:1179-1189. [PMID: 38529776 DOI: 10.1002/mds.29798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/05/2024] [Accepted: 03/07/2024] [Indexed: 03/27/2024] Open
Abstract
BACKGROUND Adaptive immune dysfunction may play a crucial role in Parkinson's disease (PD) development. Isolated rapid eye movement sleep behavior disorder (iRBD) represents the prodromal stage of synucleinopathies, including PD. Elucidating the peripheral adaptive immune system is crucial in iRBD, but current knowledge remains limited. OBJECTIVE This study aimed to characterize peripheral lymphocyte profiles in iRBD patients compared with healthy control subjects (HCs). METHODS This cross-sectional study recruited polysomnography-confirmed iRBD patients and age- and sex-matched HCs. Venous blood was collected from each participant. Flow cytometry was used to evaluate surface markers and intracellular cytokine production in peripheral blood mononuclear cells. RESULTS Forty-four iRBD patients and 36 HCs were included. Compared with HCs, patients with iRBD exhibited significant decreases in absolute counts of total lymphocytes and CD3+ T cells. In terms of T cell subsets, iRBD patients showed higher frequencies and counts of proinflammatory T helper 1 cells and INF-γ+ CD8+ T cells, along with lower frequencies and counts of anti-inflammatory T helper 2 cells. A significant increase in the frequency of central memory T cells in CD8+ T cells was also observed in iRBD. Regarding B cells, iRBD patients demonstrated reduced frequencies and counts of double-negative memory B cells compared with control subjects. CONCLUSIONS This study demonstrated alterations in the peripheral adaptive immune system in iRBD, specifically in CD4+ and INF-γ+ CD8+ T cell subsets. An overall shift toward a proinflammatory state of adaptive immunity was already evident in iRBD. These observations might provide insights into the optimal timing for initiating immune interventions in PD. © 2024 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Yuanchu Zheng
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yatong Li
- Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Huihui Cai
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wenyi Kou
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chen Yang
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Siming Li
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jiawei Wang
- Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Ning Zhang
- Department of Neuropsychiatry and Behavioral Neurology and Clinical Psychology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Tao Feng
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
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Carpi M, Fernandes M, Risino I, Benedetti R, Testone G, Cirillo F, Nuccetelli M, Bernardini S, Mercuri NB, Liguori C. Alteration of circadian sleep-wake rhythm and salivary melatonin secretion in idiopathic/isolated REM sleep behavior disorder: Preliminary evidence. Sleep Med 2024; 119:135-138. [PMID: 38678756 DOI: 10.1016/j.sleep.2024.04.020] [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: 02/03/2024] [Revised: 04/05/2024] [Accepted: 04/14/2024] [Indexed: 05/01/2024]
Abstract
OBJECTIVE/BACKGROUND Idiopathic/isolated REM sleep behavior disorder (iRBD) is widely regarded as an early sign of neurodegeneration leading to synucleinopathies. While circadian rhythm alterations in iRBD have been preliminarily demonstrated, evidence on melatonin secretion patterns in this clinical condition is limited. To address this knowledge gap, this exploratory study aimed to integrate salivary melatonin measurement with actigraphic monitoring in individuals with iRBD and age-matched healthy controls (HC) under real-life conditions. METHODS Participants diagnosed with iRBD and HC underwent clinical evaluation and wore an actigraph for seven days and nights. Salivary melatonin concentrations were measured at five time points during the last night of recording. Comparative analyses were conducted on clinical data, actigraphic parameters, and melatonin levels between the two groups. RESULTS iRBD participants (n = 18) showed greater motor (p < 0.01) and non-motor symptoms (p < 0.001), alongside disruptions in circadian sleep-wake rhythm compared to HC (n = 10). Specifically, actigraphy revealed a delayed central phase measurement (p < 0.05), reduced activity during the most active hours (p < 0.001), and decreased relative amplitude (p < 0.05). Total salivary melatonin concentration was significantly lower in iRBD (p < 0.05), with a slight but non-significant phase delay in dim light melatonin onset. CONCLUSIONS This exploratory study highlights a dysregulation of circadian sleep-wake rhythm coupled with reduced melatonin secretion in iRBD. Future research could add to these preliminary findings to evaluate novel treatment approaches to regulate the sleep-wake cycle and elucidate the implications of circadian dysregulation in the conversion from iRBD to neurodegeneration.
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Affiliation(s)
- Matteo Carpi
- Sleep and Epilepsy Centre, Neurology Unit, University Hospital Tor Vergata, Rome, Italy; Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Mariana Fernandes
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Irene Risino
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Riccardo Benedetti
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Greta Testone
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Flavia Cirillo
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Marzia Nuccetelli
- Department of Experimental Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Sergio Bernardini
- Department of Experimental Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Nicola Biagio Mercuri
- Sleep and Epilepsy Centre, Neurology Unit, University Hospital Tor Vergata, Rome, Italy; Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Claudio Liguori
- Sleep and Epilepsy Centre, Neurology Unit, University Hospital Tor Vergata, Rome, Italy; Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
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Sharon O, Ben Simon E, Shah VD, Desel T, Walker MP. The new science of sleep: From cells to large-scale societies. PLoS Biol 2024; 22:e3002684. [PMID: 38976664 PMCID: PMC11230563 DOI: 10.1371/journal.pbio.3002684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/10/2024] Open
Abstract
In the past 20 years, more remarkable revelations about sleep and its varied functions have arguably been made than in the previous 200. Building on this swell of recent findings, this essay provides a broad sampling of selected research highlights across genetic, molecular, cellular, and physiological systems within the body, networks within the brain, and large-scale social dynamics. Based on this raft of exciting new discoveries, we have come to realize that sleep, in this moment of its evolution, is very much polyfunctional (rather than monofunctional), yet polyfunctional for reasons we had never previously considered. Moreover, these new polyfunctional insights powerfully reaffirm sleep as a critical biological, and thus health-sustaining, requisite. Indeed, perhaps the only thing more impressive than the unanticipated nature of these newly emerging sleep functions is their striking divergence, from operations of molecular mechanisms inside cells to entire group societal dynamics.
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Affiliation(s)
- Omer Sharon
- Department of Psychology, University of California, Berkeley, California, United States of America
- Helen Wills Neuroscience Institute, University of California, Berkeley, California, United States of America
| | - Eti Ben Simon
- Department of Psychology, University of California, Berkeley, California, United States of America
- Helen Wills Neuroscience Institute, University of California, Berkeley, California, United States of America
| | - Vyoma D. Shah
- Department of Psychology, University of California, Berkeley, California, United States of America
- Helen Wills Neuroscience Institute, University of California, Berkeley, California, United States of America
| | - Tenzin Desel
- Department of Psychology, University of California, Berkeley, California, United States of America
- Helen Wills Neuroscience Institute, University of California, Berkeley, California, United States of America
| | - Matthew P. Walker
- Department of Psychology, University of California, Berkeley, California, United States of America
- Helen Wills Neuroscience Institute, University of California, Berkeley, California, United States of America
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Lee M, Kim TK, Hong JK, Yoon IY. Minimal effect of long-term clonazepam on cognitive function in patients with isolated rapid eye movement sleep behavior disorder. J Clin Sleep Med 2024; 20:1173-1182. [PMID: 38494993 PMCID: PMC11217636 DOI: 10.5664/jcsm.11126] [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: 12/17/2023] [Revised: 03/10/2024] [Accepted: 03/12/2024] [Indexed: 03/19/2024]
Abstract
STUDY OBJECTIVES Despite its widespread use in patients with isolated rapid eye movement sleep behavior disorder (iRBD), the cognitive effect of clonazepam is uncertain. This study aimed to investigate the effect of cumulative clonazepam on cognitive function in patients with iRBD. METHODS Demographic characteristics, baseline cognitive test, and most recent cognitive test information were collected retrospectively. Based on cumulative clonazepam doses, patients were classified into 4 subgroups: group 1, < 365 mg (1 mg × 1 year); group 2, 365 mg to < 1,095 mg (1 mg × 3 years); group 3, 1,095 mg to < 2,190 mg (1 mg × 6 years); and group 4, 2,190 mg or more. Cognitive test scores were calculated as z scores adjusted for age, education, and sex. RESULTS This study included 101 patients with iRBD (63 males). Groups 1, 2, 3, and 4 had 14, 20, 32, and 35 patients, respectively. In within-group comparisons, follow-up Digit Span Backward test and the Trail Making Test A scores decreased in group 3, and follow-up Trail Making Test A and the Trail Making Test B scores decreased significantly in group 4. In the multiple regression analysis to determine influential factors on cognitive decline, cumulative clonazepam dose did not show a significant correlation with any cognitive domain. Follow-up cognitive function showed significant correlation only with baseline cognitive function. CONCLUSIONS Memory and executive functions tended to decline in patients with iRBD. However, there was no significant effect of cumulative clonazepam. There was no evidence that long-term use of clonazepam was related to cognitive decline in patients with iRBD. CITATION Lee M, Kim TK, Hong JK, Yoon I-Y. Minimal effect of long-term clonazepam on cognitive function in patients with isolated rapid eye movement sleep behavior disorder. J Clin Sleep Med. 2024;20(7):1173-1182.
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Affiliation(s)
- Minji Lee
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Tong Keon Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Jung Kyung Hong
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea
| | - In-Young Yoon
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea
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Li X, Shen M, Shen Z, Han Z, Jiao J, Tong X. Reading the mind in the eyes in patients with idiopathic REM sleep behavior disorder. Neurol Sci 2024; 45:2697-2703. [PMID: 38190083 DOI: 10.1007/s10072-024-07303-3] [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: 09/27/2023] [Accepted: 01/01/2024] [Indexed: 01/09/2024]
Abstract
OBJECTIVES Idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD) is characterized by vocalizations, jerks, and motor behaviors during REM sleep, often associated with REM-related dream content, which is considered a prodromal stage of α-synucleinopathy. The results of the Reading the Mind in the Eyes (RME) reflecting affective Theory of Mind (ToM) are inconsistent in α-synucleinopathy. The present study tried to investigate the RME in patients with iRBD. METHODS A total of 35 patients with iRBD and 26 healthy controls were included in the study. All participants were administered the RME and the cognitive assessments according to a standard procedure. The patients with iRBD were further divided into two groups (high or low RME) according to the scores of the RME (> 21, or ≤ 20). RESULTS The patients with iRBD had worse scores on cognitive tests compared with healthy controls involving global cognitive screening, memory, and visuospatial abilities (p < 0.05), but the scores of the RME were similar between the two groups (20.83 ± 3.38, 20.58 ± 3.43) (p ˃ 0.05). Patients with low RME had more obvious cognitive impairments than healthy controls. After applying Bonferroni correction for multiple tests, the low REM group only performed worse on the Sum of trials 1 to 5 and delayed recall of the RAVLT compared with the healthy control group (p < 0.001, = 0.002). The RME correlated with the scores of cognitive tests involving executive function, attention, memory, and visuospatial function. CONCLUSIONS The changes in RME had a relationship with cognitive impairments, especially memory, in patients with iRBD.
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Affiliation(s)
- Xudong Li
- Department of Cognitive Disorder, Beijing Tiantan Hospital, Capital Medical University, Fengtai District, South 4th Ring Road West 119, Beijing, 100070, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
| | - Miaoxin Shen
- Department of Cognitive Disorder, Beijing Tiantan Hospital, Capital Medical University, Fengtai District, South 4th Ring Road West 119, Beijing, 100070, China
| | | | - Ziling Han
- Department of Cognitive Disorder, Beijing Tiantan Hospital, Capital Medical University, Fengtai District, South 4th Ring Road West 119, Beijing, 100070, China
| | - Jinsong Jiao
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Xiaopeng Tong
- Department of Microbiology and Immunology, Medical School, Xizang Minzu University, Xianyang, China
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Ye M, Ji Q, Liu Q, Xu Y, Tao E, Zhan Y. Olfactory Dysfunction and Long-Term Trajectories of Sleep Disorders among early Parkinson's Disease: Findings from a Longitudinal Cohort. Neuroepidemiology 2024:1-10. [PMID: 38768570 DOI: 10.1159/000539330] [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: 02/16/2024] [Accepted: 04/29/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Previous studies have suggested a connection between impaired olfactory function and an increased risk of rapid eye movement sleep behavior disorder (RBD) in individuals diagnosed with Parkinson's disease (PD). However, there is a gap in knowledge regarding the potential impact of olfactory dysfunction on the long-term patterns of sleep disorders among early PD patients. METHODS Data from the Parkinson's Progression Markers Initiative program included 589 participants with assessments of sleep disorders using the Epworth Sleepiness Scale (ESS) and RBD Screening Questionnaire (RBDSQ). Olfactory dysfunction at baseline was measured using the University of Pennsylvania Smell Identification Test. Trajectories of sleep disorders over a 5-year follow-up were identified using group-based trajectory modeling, and the relationship between olfactory dysfunction and sleep disorder trajectories was examined through binomial logistic regression. RESULTS Two distinct trajectories of sleep disorders over the 5-year follow-up period were identified, characterized by maintaining a low or high ESS score and a low or high RBDSQ score. An inversion association was observed between olfactory function measures and trajectories of excessive daytime sleepiness (odds ratio [OR] = 0.97, 95% confidence interval [CI] 0.95, 1.00, p = 0.038), after controlling for potential covariates. Similarly, olfactory function showed a significant association with lower trajectories of probable RBD (OR = 0.96, 95% CI 0.94, 0.98, p = 0.001) among early PD individuals. Consistent findings were replicated across alternative analytical models. CONCLUSIONS Our findings indicated that olfactory dysfunction was associated with unfavorable long-term trajectories of sleep disorders among early PD.
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Affiliation(s)
- Meijie Ye
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China,
| | - Qianqian Ji
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China
| | - Qi Liu
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China
| | - Yue Xu
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China
| | - Enxiang Tao
- Department of Neurology, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Yiqiang Zhan
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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10
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Bartl M, Nilsson J, Dakna M, Weber S, Schade S, Xylaki M, Fernandes Gomes B, Ernst M, Muntean ML, Sixel-Döring F, Trenkwalder C, Zetterberg H, Brinkmalm A, Mollenhauer B. Lysosomal and synaptic dysfunction markers in longitudinal cerebrospinal fluid of de novo Parkinson's disease. NPJ Parkinsons Dis 2024; 10:102. [PMID: 38760408 PMCID: PMC11101466 DOI: 10.1038/s41531-024-00714-1] [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: 11/24/2023] [Accepted: 04/19/2024] [Indexed: 05/19/2024] Open
Abstract
Lysosomal and synaptic dysfunctions are hallmarks in neurodegeneration and potentially relevant as biomarkers, but data on early Parkinson's disease (PD) is lacking. We performed targeted mass spectrometry with an established protein panel, assessing autophagy and synaptic function in cerebrospinal fluid (CSF) of drug-naïve de novo PD, and sex-/age-matched healthy controls (HC) cross-sectionally (88 PD, 46 HC) and longitudinally (104 PD, 58 HC) over 10 years. Multiple markers of autophagy, synaptic plasticity, and secretory pathways were reduced in PD. We added samples from prodromal subjects (9 cross-sectional, 12 longitudinal) with isolated REM sleep behavior disorder, revealing secretogranin-2 already decreased compared to controls. Machine learning identified neuronal pentraxin receptor and neurosecretory protein VGF as most relevant for discriminating between groups. CSF levels of LAMP2, neuronal pentraxins, and syntaxins in PD correlated with clinical progression, showing predictive potential for motor- and non-motor symptoms as a valid basis for future drug trials.
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Affiliation(s)
- Michael Bartl
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany.
- Institute for Neuroimmunology and Multiple Sclerosis Research, University Medical Center Goettingen, Goettingen, Germany.
| | - Johanna Nilsson
- Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Mohammed Dakna
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
| | - Sandrina Weber
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
| | | | - Mary Xylaki
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
| | - Bárbara Fernandes Gomes
- Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Marielle Ernst
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Goettingen, Goettingen, Germany
| | | | - Friederike Sixel-Döring
- Paracelsus-Elena-Klinik, Kassel, Germany
- Department of Neurology, Philipps-University, Marburg, Germany
| | - Claudia Trenkwalder
- Paracelsus-Elena-Klinik, Kassel, Germany
- Department of Neurosurgery, University Medical Center Goettingen, Goettingen, Germany
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Ann Brinkmalm
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
- Paracelsus-Elena-Klinik, Kassel, Germany
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11
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Miyamoto T, Miyamoto M. Reduced cardiac 123I-MIBG uptake is a robust biomarker of Lewy body disease in isolated rapid eye movement sleep behaviour disorder. Brain Commun 2024; 6:fcae148. [PMID: 38725707 PMCID: PMC11081076 DOI: 10.1093/braincomms/fcae148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 02/14/2024] [Accepted: 04/24/2024] [Indexed: 05/12/2024] Open
Abstract
Cardiac 123I-MIBG scintigraphy is used to assess the function of postganglionic presynaptic cardiac sympathetic nerve endings. 123I-MIBG cardiac uptake is markedly reduced in patients with isolated rapid eye movement sleep behaviour disorder, similar to Parkinson's disease and dementia with Lewy bodies. As a result, it can be used as an early biomarker of isolated rapid eye movement sleep behaviour disorder. Most patients with isolated rapid eye movement sleep behaviour disorder develop synucleinopathies: Parkinson's disease, dementia with Lewy bodies or multiple system atrophy. We aimed to investigate whether cardiac postganglionic denervation is present in patients with isolated rapid eye movement sleep behaviour disorder, as well as its possible usefulness as a marker for Lewy body disease status. This retrospective cohort study examined 306 patients (236 men and 70 women; mean age: 68.2 years; age range: 43-87 years) with polysomnography-confirmed isolated rapid eye movement sleep behaviour disorder who were followed for 1-3 months and underwent 123I-MIBG scintigraphy. We retrospectively analysed data from 306 patients with polysomnography-confirmed isolated rapid eye movement sleep behaviour disorder, and their longitudinal outcomes were documented at two centres. Among isolated rapid eye movement sleep behaviour disorder patients, reduced 123I-MIBG uptake was observed in the early and delayed images in 84.4 and 93.4% of patients, respectively, whereas 88.6% of the patients had a high washout rate. This large Japanese two-cohort study (n = 306) found that 91 patients (29.7%) developed an overt synucleinopathy (51 Parkinson's disease, 35 dementia with Lewy bodies, 4 multiple system atrophy, and 1 cerebellar ataxia) during a mean follow-up duration of 4.72 ± 3.94 years, with a conversion risk of 14.5% at 3 years, 25.4% at 5 years, 41.4% at 8 years and 52.5% at 10 years. On the other hand, among patients with heart-to-mediastinum ratio < 2.2 in the delayed images (n = 286), 85 (29.7%) developed Parkinson's disease or dementia with Lewy bodies during a mean follow-up duration of 4.71 ± 3.94 years, with a conversion risk of 14.5% at 3 years, 25.6% at 5 years, 42.0% at 8 years and 51.0% at 10 years. Among the 33 patients who underwent repeat 123I-MIBG scintigraphy, there was a progressive decline in uptake over the next 4.2 years, with patients exhibiting reduced uptake progressing to Parkinson's disease or dementia with Lewy bodies. In contrast, patients without decreased 123I-MIBG uptake progressed to multiple system atrophy. Reduced cardiac 123I-MIBG uptake was detected in over 90% of isolated rapid eye movement sleep behaviour disorder patients, with progression to Parkinson's disease or dementia with Lewy bodies, rather than multiple system atrophy, over time. Reduced 123I-MIBG uptake is a robust maker for Lewy body disease among isolated rapid eye movement sleep behaviour disorder patients.
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Affiliation(s)
- Tomoyuki Miyamoto
- Department of Neurology, Dokkyo Medical University Saitama Medical Center, Saitama, 343-8555, Japan
| | - Masayuki Miyamoto
- Center of Sleep Medicine, Dokkyo Medical University Hospital, Tochigi, 321-0293, Japan
- Graduate School of Nursing, Dokkyo Medical University, Tochigi, 321-0293, Japan
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12
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Iftikhar IH, AlShimemeri S, Rabah H, Rao ST, BaHammam AS. Alpha-synuclein pathology in isolated rapid eye movement sleep behaviour disorder: a meta-analysis. J Sleep Res 2024:e14204. [PMID: 38586895 DOI: 10.1111/jsr.14204] [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: 11/12/2023] [Revised: 03/07/2024] [Accepted: 03/21/2024] [Indexed: 04/09/2024]
Abstract
Accumulating evidence indicates that patients with isolated rapid eye movement sleep behaviour disorder (iRBD), a prodromal stage of synucleinopathies, show abnormal deposition of misfolded alpha-synuclein (a-Syn) in peripheral tissues. The clinical utility of testing for a-Syn in iRBD is unclear. This meta-analysis focused on the utility of testing for the abnormal a-Syn phosphorylated at Ser129 (p-syn) and a-Syn seeding activity (a-Syn seed amplification assays [aSyn-SAA]). Following an electronic database search, 15 studies were included that provided at a minimum data on test positivity in participants with iRBD. Test positivity from cerebrospinal fluid (CSF) was 80% (95% confidence interval [CI] 68-88%, I2 = 71%) and for skin was 74.8% (95% CI 53.2-88.5%, I2 = 64%) for aSyn-SAA and 78.5% (95% CI 70.4-84.9%, I2 = 14%) for p-syn. The phenoconversion rate ratio of biopsy-positive versus biopsy-negative iRBD was 1.28 (95% CI 0.68-2.41, I2 = 0%). Skin as a source had a specificity of 99% (95% CI 95-100%, I2 = 0%; p = 0.01 compared to CSF). As a test, p-syn, had a specificity of 100% (95% CI 93-100%, I2 = 0%; p < 0.001) compared to aSyn-SAA. The odds ratio of a-Syn test positivity in iRBD versus other RBDs was 112 (95% CI 20-629, I2 = 0%). These results demonstrate clinically significant test positivity in iRBD and favour skin over CSF as the source of a-Syn pathological analysis, and p-syn over aSyn-SAA as the testing method. Overall, these findings indicate that testing for a-Syn could help in differentiating iRBD from RBD secondary to other conditions.
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Affiliation(s)
- Imran H Iftikhar
- Department of Medicine, Division of Pulmonary, Allergy, Critical Care & Sleep Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
- Atlanta Veterans Affairs Medical Center, Decatur, Georgia, USA
| | - Sohaila AlShimemeri
- Neurology Unit, Department of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Hussein Rabah
- Department of Medicine, Division of Pulmonary, Allergy, Critical Care & Sleep Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Saad Tauheed Rao
- Shifa College of Medicine (medical student), Shifa Tameer-e-Millat University, Islamabad, Pakistan
| | - Ahmed S BaHammam
- Department of Medicine, University Sleep Disorders Center, and Pulmonary Service, King Saud University, Riyadh, Saudi Arabia
- Strategic Technologies Program of the National Plan for Sciences and Technology and Innovation in the Kingdom of Saudi Arabia, Riyadh, Saudi Arabia
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13
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Kulcsarova K, Skorvanek M. Challenges and Future of the International Parkinson and Movement Disorder Society Prodromal Parkinson's Disease Criteria: Are We On the Right Track? Mov Disord 2024; 39:637-643. [PMID: 38310367 DOI: 10.1002/mds.29724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/20/2023] [Accepted: 12/22/2023] [Indexed: 02/05/2024] Open
Affiliation(s)
- Kristina Kulcsarova
- Department of Neurology, P. J. Safarik University, Kosice, Slovakia
- Department of Neurology, University Hospital of L. Pasteur, Kosice, Slovakia
- Department of Clinical Neurosciences, University Scientific Park MEDIPARK, P. J. Safarik University, Kosice, Slovakia
| | - Matej Skorvanek
- Department of Neurology, P. J. Safarik University, Kosice, Slovakia
- Department of Neurology, University Hospital of L. Pasteur, Kosice, Slovakia
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14
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Puigròs M, Calderon A, Martín-Ruiz D, Serradell M, Fernández M, Muñoz-Lopetegi A, Mayà G, Santamaria J, Gaig C, Colell A, Tolosa E, Iranzo A, Trullas R. Mitochondrial DNA deletions in the cerebrospinal fluid of patients with idiopathic REM sleep behaviour disorder. EBioMedicine 2024; 102:105065. [PMID: 38502973 PMCID: PMC10963194 DOI: 10.1016/j.ebiom.2024.105065] [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: 09/18/2023] [Revised: 03/01/2024] [Accepted: 03/04/2024] [Indexed: 03/21/2024] Open
Abstract
BACKGROUND Idiopathic rapid eye movement (REM) sleep behaviour disorder (IRBD) represents the prodromal stage of Lewy body disorders (Parkinson's disease (PD) and dementia with Lewy bodies (DLB)) which are linked to variations in circulating cell-free mitochondrial DNA (cf-mtDNA). Here, we assessed whether altered cf-mtDNA release and integrity are already present in IRBD. METHODS We used multiplex digital PCR (dPCR) to quantify cf-mtDNA copies and deletion ratio in cerebrospinal fluid (CSF) and serum in a cohort of 71 participants, including 1) 17 patients with IRBD who remained disease-free (non-converters), 2) 34 patients initially diagnosed with IRBD who later developed either PD or DLB (converters), and 3) 20 age-matched controls without IRBD or Parkinsonism. In addition, we investigated whether CD9-positive extracellular vesicles (CD9-EVs) from CSF and serum samples contained cf-mtDNA. FINDINGS Patients with IRBD, both converters and non-converters, exhibited more cf-mtDNA with deletions in the CSF than controls. This finding was confirmed in CD9-EVs. The high levels of deleted cf-mtDNA in CSF corresponded to a significant decrease in cf-mtDNA copies in CD9-EVs in both IRBD non-converters and converters. Conversely, a significant increase in cf-mtDNA copies was found in serum and CD9-EVs from the serum of patients with IRBD who later converted to a Lewy body disorder. INTERPRETATION Alterations in cf-mtDNA copy number and deletion ratio known to occur in Lewy body disorders are already present in IRBD and are not a consequence of Lewy body disease conversion. This suggests that mtDNA dysfunction is a primary molecular mechanism of the pathophysiological cascade that precedes the full clinical motor and cognitive manifestation of Lewy body disorders. FUNDING Funded by Michael J. Fox Foundation research grant MJFF-001111. Funded by MICIU/AEI/10.13039/501100011033 "ERDF A way of making Europe", grants PID2020-115091RB-I00 (RT) and PID2022-143279OB-I00 (ACo). Funded by Instituto de Salud Carlos III and European Union NextGenerationEU/PRTR, grant PMP22/00100 (RT and ACo). Funded by AGAUR/Generalitat de Catalunya, grant SGR00490 (RT and ACo). MP has an FPI fellowship, PRE2018-083297, funded by MICIU/AEI/10.13039/501100011033 "ESF Investing in your future".
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Affiliation(s)
- Margalida Puigròs
- Neurobiology Unit, Institut d'Investigacions Biomèdiques de Barcelona, Consejo Superior de Investigaciones Científicas (IIBB-CSIC), 08036, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036, Barcelona, Spain; Neurophysiology Laboratory, School of Medicine, Institute of Neurosciences, Universitat de Barcelona, Casanova 143, 08036, Barcelona, Spain; CIBER de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Anna Calderon
- Neurobiology Unit, Institut d'Investigacions Biomèdiques de Barcelona, Consejo Superior de Investigaciones Científicas (IIBB-CSIC), 08036, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036, Barcelona, Spain; CIBER de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Daniel Martín-Ruiz
- Neurobiology Unit, Institut d'Investigacions Biomèdiques de Barcelona, Consejo Superior de Investigaciones Científicas (IIBB-CSIC), 08036, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036, Barcelona, Spain; CIBER de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Mònica Serradell
- Sleep Disorders Center, Neurology Service, Institut Clínic de Neurociències, Hospital Clínic de Barcelona, University of Barcelona, 08036, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036, Barcelona, Spain; CIBER de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Manel Fernández
- Parkinson's disease and Movement Disorders Unit, Institut Clínic de Neurociències, Hospital Clínic de Barcelona, University of Barcelona, 08036, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036, Barcelona, Spain
| | - Amaia Muñoz-Lopetegi
- Sleep Disorders Center, Neurology Service, Institut Clínic de Neurociències, Hospital Clínic de Barcelona, University of Barcelona, 08036, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036, Barcelona, Spain; CIBER de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Gerard Mayà
- Sleep Disorders Center, Neurology Service, Institut Clínic de Neurociències, Hospital Clínic de Barcelona, University of Barcelona, 08036, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036, Barcelona, Spain; CIBER de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Joan Santamaria
- Sleep Disorders Center, Neurology Service, Institut Clínic de Neurociències, Hospital Clínic de Barcelona, University of Barcelona, 08036, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036, Barcelona, Spain; CIBER de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Carles Gaig
- Sleep Disorders Center, Neurology Service, Institut Clínic de Neurociències, Hospital Clínic de Barcelona, University of Barcelona, 08036, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036, Barcelona, Spain; CIBER de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Anna Colell
- Neurobiology Unit, Institut d'Investigacions Biomèdiques de Barcelona, Consejo Superior de Investigaciones Científicas (IIBB-CSIC), 08036, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036, Barcelona, Spain; CIBER de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Eduard Tolosa
- Parkinson's disease and Movement Disorders Unit, Institut Clínic de Neurociències, Hospital Clínic de Barcelona, University of Barcelona, 08036, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036, Barcelona, Spain; CIBER de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Alex Iranzo
- Sleep Disorders Center, Neurology Service, Institut Clínic de Neurociències, Hospital Clínic de Barcelona, University of Barcelona, 08036, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036, Barcelona, Spain; CIBER de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain.
| | - Ramon Trullas
- Neurobiology Unit, Institut d'Investigacions Biomèdiques de Barcelona, Consejo Superior de Investigaciones Científicas (IIBB-CSIC), 08036, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036, Barcelona, Spain; CIBER de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain.
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15
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Summa KC, Jiang P, González-Rodríguez P, Huang X, Lin X, Vitaterna MH, Dan Y, Surmeier DJ, Turek FW. Disrupted sleep-wake regulation in the MCI-Park mouse model of Parkinson's disease. NPJ Parkinsons Dis 2024; 10:54. [PMID: 38467673 PMCID: PMC10928107 DOI: 10.1038/s41531-024-00670-w] [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: 09/07/2023] [Accepted: 02/26/2024] [Indexed: 03/13/2024] Open
Abstract
Disrupted sleep has a profound adverse impact on lives of Parkinson's disease (PD) patients and their caregivers. Sleep disturbances are exceedingly common in PD, with substantial heterogeneity in type, timing, and severity. Among the most common sleep-related symptoms reported by PD patients are insomnia, excessive daytime sleepiness, and sleep fragmentation, characterized by interruptions and decreased continuity of sleep. Alterations in brain wave activity, as measured on the electroencephalogram (EEG), also occur in PD, with changes in the pattern and relative contributions of different frequency bands of the EEG spectrum to overall EEG activity in different vigilance states consistently observed. The mechanisms underlying these PD-associated sleep-wake abnormalities are poorly understood, and they are ineffectively treated by conventional PD therapies. To help fill this gap in knowledge, a new progressive model of PD - the MCI-Park mouse - was studied. Near the transition to the parkinsonian state, these mice exhibited significantly altered sleep-wake regulation, including increased wakefulness, decreased non-rapid eye movement (NREM) sleep, increased sleep fragmentation, reduced rapid eye movement (REM) sleep, and altered EEG activity patterns. These sleep-wake abnormalities resemble those identified in PD patients. Thus, this model may help elucidate the circuit mechanisms underlying sleep disruption in PD and identify targets for novel therapeutic approaches.
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Affiliation(s)
- K C Summa
- Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
- Center for Sleep & Circadian Biology, Northwestern University, Evanston, IL, USA.
| | - P Jiang
- Center for Sleep & Circadian Biology, Northwestern University, Evanston, IL, USA
- Department of Neurobiology, Weinberg College of Arts and Sciences, Northwestern University, Evanston, IL, USA
- Neuroscience Discovery, Informatics and Predictive Sciences, Bristol Myers Squibb, Cambridge, MA, USA
| | - P González-Rodríguez
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla and CIBERNED, Seville, Spain
| | - X Huang
- Department of Molecular & Cell Biology, University of California Berkeley, Berkeley, CA, USA
| | - X Lin
- Center for Sleep & Circadian Biology, Northwestern University, Evanston, IL, USA
- Department of Neurobiology, Weinberg College of Arts and Sciences, Northwestern University, Evanston, IL, USA
| | - M H Vitaterna
- Center for Sleep & Circadian Biology, Northwestern University, Evanston, IL, USA
- Department of Neurobiology, Weinberg College of Arts and Sciences, Northwestern University, Evanston, IL, USA
| | - Y Dan
- Department of Molecular & Cell Biology, University of California Berkeley, Berkeley, CA, USA
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA
| | - D J Surmeier
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA
| | - F W Turek
- Center for Sleep & Circadian Biology, Northwestern University, Evanston, IL, USA
- Department of Neurobiology, Weinberg College of Arts and Sciences, Northwestern University, Evanston, IL, USA
- The Ken & Ruth Davee Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Psychiatry & Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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16
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Leitner C, D'Este G, Verga L, Rahayel S, Mombelli S, Sforza M, Casoni F, Zucconi M, Ferini-Strambi L, Galbiati A. Neuropsychological Changes in Isolated REM Sleep Behavior Disorder: A Systematic Review and Meta-analysis of Cross-sectional and Longitudinal Studies. Neuropsychol Rev 2024; 34:41-66. [PMID: 36588140 DOI: 10.1007/s11065-022-09572-1] [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: 05/31/2022] [Accepted: 11/28/2022] [Indexed: 01/03/2023]
Abstract
The aim of this meta-analysis is twofold: (a) to assess cognitive impairments in isolated rapid eye movement (REM) sleep behavior disorder (iRBD) patients compared to healthy controls (HC); (b) to quantitatively estimate the risk of developing a neurodegenerative disease in iRBD patients according to baseline cognitive assessment. To address the first aim, cross-sectional studies including polysomnography-confirmed iRBD patients, HC, and reporting neuropsychological testing were included. To address the second aim, longitudinal studies including polysomnography-confirmed iRBD patients, reporting baseline neuropsychological testing for converted and still isolated patients separately were included. The literature search was conducted based on PRISMA guidelines and the protocol was registered at PROSPERO (CRD42021253427). Cross-sectional and longitudinal studies were searched from PubMed, Web of Science, Scopus, and Embase databases. Publication bias and statistical heterogeneity were assessed respectively by funnel plot asymmetry and using I2. Finally, a random-effect model was performed to pool the included studies. 75 cross-sectional (2,398 HC and 2,460 iRBD patients) and 11 longitudinal (495 iRBD patients) studies were selected. Cross-sectional studies showed that iRBD patients performed significantly worse in cognitive screening scores (random-effects (RE) model = -0.69), memory (RE model = -0.64), and executive function (RE model = -0.50) domains compared to HC. The survival analyses conducted for longitudinal studies revealed that lower executive function and language performance, as well as the presence of mild cognitive impairment (MCI), at baseline were associated with an increased risk of conversion at follow-up. Our study underlines the importance of a comprehensive neuropsychological assessment in the context of iRBD.
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Affiliation(s)
- Caterina Leitner
- "Vita-Salute" San Raffaele University, Milan, Italy
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Giada D'Este
- "Vita-Salute" San Raffaele University, Milan, Italy
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Laura Verga
- Comparative Bioacoustics Group, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Faculty of Psychology and Neuroscience, Department NP&PP, Maastricht University, Maastricht, The Netherlands
| | - Shady Rahayel
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, QC, Canada
- Center for Advanced Research in Sleep Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal - Hôpital du Sacré-Cœur de Montréal, Montréal, QC, Canada
| | - Samantha Mombelli
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Marco Sforza
- "Vita-Salute" San Raffaele University, Milan, Italy
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Francesca Casoni
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Marco Zucconi
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Luigi Ferini-Strambi
- "Vita-Salute" San Raffaele University, Milan, Italy
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Andrea Galbiati
- "Vita-Salute" San Raffaele University, Milan, Italy.
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy.
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17
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Tóth Š, Kulcsárová K, Maretta M, Kunová A, Mechírová E, Gdovinová Z, Feketeová E, Ribeiro Ventosa J, Baloghová J, Bekeová M, Christová P, Mrázová S, Muránska S, Zeidan D, Škorvánek M. α-synuclein antibody 5G4 identifies idiopathic REM-sleep behavior disorder in abdominal skin biopsies. Parkinsonism Relat Disord 2024; 120:105956. [PMID: 38217955 DOI: 10.1016/j.parkreldis.2023.105956] [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: 08/15/2023] [Revised: 11/25/2023] [Accepted: 12/06/2023] [Indexed: 01/15/2024]
Abstract
INTRODUCTION Idiopathic REM-sleep behavior disorder (iRBD) is considered the most specific prodromal marker of Parkinson's disease (PD). With the need to improve early detection of prodromal α-synucleinopathies, several methods to identify peripheral α-synuclein (α-syn) pathology have been exploited in manifest and prodromal PD with varying diagnostic accuracy. Recently, a disease specific 5G4 antibody has been evaluated in skin biopsies of manifest PD patients. The aim of our study was to analyze the 5G4 α-syn immunoreactivity in skin biopsies of deeply phenotyped subjects with iRBD and controls. METHODS The study cohort consisted of 28 patients with PD, 24 subjects with iRBD and 27 healthy controls, recruited from the CEGEMOD, PDBIOM and PARCAS cohorts. All subjects were deeply phenotyped and assessed for prodromal PD (pPD) probability based on MDS research criteria. Abdominal skin punch biopsies were processed and stained using a conformation specific 5G4 α-syn antibody as well as axonal markers SMI-31 and S100. RESULTS 5G4-positivity was identified in 23/28 PD patients, 20/24 iRBD subjects and 8/27 healthy controls. Compared to healthy controls, sensitivity and specificity reached 83.33 % and 70.37 % for iRBD; and 82.14 % and 70.37 % for PD, respectively. 5G4-positivity rate in our study was irrespective of the calculated pPD probability of iRBD subjects. CONCLUSIONS This work establishes the diagnostic yield of conformation specific 5G4 α-syn antibody testing in skin biopsies of subjects with pPD, specifically iRBD. The diagnostic accuracy for this method seems to be similar for both manifest and prodromal PD and is not dependent on the pPD probability ratios.
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Affiliation(s)
- Štefan Tóth
- Department of Histology and Embryology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic.
| | - Kristína Kulcsárová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic; Department of Clinical Neurosciences, University Scientific Park MEDIPARK, P. J. Šafárik University, Kosice, Slovak Republic
| | - Milan Maretta
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic
| | - Alexandra Kunová
- Department of Histology and Embryology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Eva Mechírová
- Department of Histology and Embryology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Zuzana Gdovinová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic
| | - Eva Feketeová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic
| | - Joaquim Ribeiro Ventosa
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic; Department of Clinical Neurosciences, University Scientific Park MEDIPARK, P. J. Šafárik University, Kosice, Slovak Republic
| | - Janette Baloghová
- Department of Dermatovenerology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Dermatovenerology, University Hospital of L. Pasteur, Košice, Slovak Republic
| | - Martina Bekeová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Petronela Christová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Soňa Mrázová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Soňa Muránska
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Dema Zeidan
- Department of Histology and Embryology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Matej Škorvánek
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic
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18
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Šubert M, Novotný M, Tykalová T, Hlavnička J, Dušek P, Růžička E, Škrabal D, Pelletier A, Postuma RB, Montplaisir J, Gagnon JF, Galbiati A, Ferini-Strambi L, Marelli S, St Louis EK, Timm PC, Teigen LN, Janzen A, Oertel W, Heim B, Holzknecht E, Stefani A, Högl B, Dauvilliers Y, Evangelista E, Šonka K, Rusz J. Spoken Language Alterations can Predict Phenoconversion in Isolated Rapid Eye Movement Sleep Behavior Disorder: A Multicenter Study. Ann Neurol 2024; 95:530-543. [PMID: 37997483 DOI: 10.1002/ana.26835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 11/13/2023] [Accepted: 11/20/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVE This study assessed the relationship between speech and language impairment and outcome in a multicenter cohort of isolated/idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD). METHODS Patients with iRBD from 7 centers speaking Czech, English, German, French, and Italian languages underwent a detailed speech assessment at baseline. Story-tale narratives were transcribed and linguistically annotated using fully automated methods based on automatic speech recognition and natural language processing algorithms, leading to the 3 distinctive linguistic and 2 acoustic patterns of language deterioration and associated composite indexes of their overall severity. Patients were then prospectively followed and received assessments for parkinsonism or dementia during follow-up. The Cox proportional hazard was performed to evaluate the predictive value of language patterns for phenoconversion over a follow-up period of 5 years. RESULTS Of 180 patients free of parkinsonism or dementia, 156 provided follow-up information. After a mean follow-up of 2.7 years, 42 (26.9%) patients developed neurodegenerative disease. Patients with higher severity of linguistic abnormalities (hazard ratio [HR = 2.35]) and acoustic abnormalities (HR = 1.92) were more likely to develop a defined neurodegenerative disease, with converters having lower content richness (HR = 1.74), slower articulation rate (HR = 1.58), and prolonged pauses (HR = 1.46). Dementia-first (n = 16) and parkinsonism-first with mild cognitive impairment (n = 9) converters had higher severity of linguistic abnormalities than parkinsonism-first with normal cognition converters (n = 17). INTERPRETATION Automated language analysis might provide a predictor of phenoconversion from iRBD into synucleinopathy subtypes with cognitive impairment, and thus can be used to stratify patients for neuroprotective trials. ANN NEUROL 2024;95:530-543.
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Affiliation(s)
- Martin Šubert
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Michal Novotný
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Tereza Tykalová
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Jan Hlavnička
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, 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
| | - Evžen Růžička
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Dominik Škrabal
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Amelie Pelletier
- Department of Neurology, Research Institute of the McGill University Health Centre, Montreal General Hospital, Montreal, Quebec, Canada
- Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada
| | - Ronald B Postuma
- Department of Neurology, Research Institute of the McGill University Health Centre, Montreal General Hospital, Montreal, Quebec, Canada
- Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada
| | - Jacques Montplaisir
- Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada
| | - Jean-François Gagnon
- Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada
| | - Andrea Galbiati
- Sleep Disorders Center, Division of Neuroscience, Ospedale San Raffaele, Università Vita-Salute, Milan, Italy
- Department of Psychology, "Vita-Salute" San Raffaele University, Milan, Italy
| | - Luigi Ferini-Strambi
- Sleep Disorders Center, Division of Neuroscience, Ospedale San Raffaele, Università Vita-Salute, Milan, Italy
- Department of Psychology, "Vita-Salute" San Raffaele University, Milan, Italy
| | - Sara Marelli
- Sleep Disorders Center, Division of Neuroscience, Ospedale San Raffaele, Università Vita-Salute, Milan, Italy
| | - Erik K St Louis
- Mayo Center for Sleep Medicine, and Sleep Behavior and Neurophysiology Research Laboratory, Departments of Neurology and Medicine, Division of Pulmonary and Critical Care Medicine Mayo Clinic College of Medicine and Science Rochester, Rochester, MN, USA
- Mayo Clinic Health System Southwest Wisconsin, La Crosse, WI, USA
| | - Paul C Timm
- Mayo Center for Sleep Medicine, and Sleep Behavior and Neurophysiology Research Laboratory, Departments of Neurology and Medicine, Division of Pulmonary and Critical Care Medicine Mayo Clinic College of Medicine and Science Rochester, Rochester, MN, USA
| | - Luke N Teigen
- Mayo Center for Sleep Medicine, and Sleep Behavior and Neurophysiology Research Laboratory, Departments of Neurology and Medicine, Division of Pulmonary and Critical Care Medicine Mayo Clinic College of Medicine and Science Rochester, Rochester, MN, USA
| | - Annette Janzen
- Department of Neurology, Philipps University Marburg, Marburg, Germany
| | - Wolfgang Oertel
- Department of Neurology, Philipps University Marburg, Marburg, Germany
| | - Beatrice Heim
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Evi Holzknecht
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ambra Stefani
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Birgit Högl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Yves Dauvilliers
- National Reference Network for Narcolepsy, Sleep-Wake Disorder Unit, Department of Neurology, Gui-de-Chauliac Hospital, CHU Montpellier, INSERM, University of Montpellier, Montpellier, France
| | - Elisa Evangelista
- National Reference Network for Narcolepsy, Sleep-Wake Disorder Unit, Department of Neurology, Gui-de-Chauliac Hospital, CHU Montpellier, INSERM, University of Montpellier, Montpellier, France
| | - Karel Šonka
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Jan Rusz
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
- Department of Neurology & ARTORG Center, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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19
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Jones BM, McCarter SJ. Rapid Eye Movement Sleep Behavior Disorder: Clinical Presentation and Diagnostic Criteria. Sleep Med Clin 2024; 19:71-81. [PMID: 38368071 DOI: 10.1016/j.jsmc.2023.10.004] [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] [Indexed: 02/19/2024]
Abstract
Rapid eye movement (REM) sleep behavior disorder (RBD) classically presents with repetitive complex motor behavior during sleep with associated dream mentation. The diagnosis requires a history of repetitive complex motor behaviors and polysomnographic demonstration of REM sleep without atonia (RSWA) or capturing dream enactment behaviors. RSWA is best evaluated in the chin or flexor digitorum superficialis muscles. The anterior tibialis muscle is insufficiently accurate to be relied upon solely for RBD diagnosis. RBD may present with parkinsonism or cognitive impairment or may present in isolation. Patients should be monitored for parkinsonism, autonomic failure, or cognitive impairment.
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Affiliation(s)
- Brandon M Jones
- Department of Neurology, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905, USA
| | - Stuart J McCarter
- Department of Neurology; Center for Sleep Medicine, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905, USA.
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20
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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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21
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Winer JR, Lok R, Weed L, He Z, Poston KL, Mormino EC, Zeitzer JM. Impaired 24-h activity patterns are associated with an increased risk of Alzheimer's disease, Parkinson's disease, and cognitive decline. Alzheimers Res Ther 2024; 16:35. [PMID: 38355598 PMCID: PMC10865579 DOI: 10.1186/s13195-024-01411-0] [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: 09/12/2023] [Accepted: 02/05/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND Sleep-wake regulating circuits are affected during prodromal stages in the pathological progression of both Alzheimer's disease (AD) and Parkinson's disease (PD), and this disturbance can be measured passively using wearable devices. Our objective was to determine whether accelerometer-based measures of 24-h activity are associated with subsequent development of AD, PD, and cognitive decline. METHODS This study obtained UK Biobank data from 82,829 individuals with wrist-worn accelerometer data aged 40 to 79 years with a mean (± SD) follow-up of 6.8 (± 0.9) years. Outcomes were accelerometer-derived measures of 24-h activity (derived by cosinor, nonparametric, and functional principal component methods), incident AD and PD diagnosis (obtained through hospitalization or primary care records), and prospective longitudinal cognitive testing. RESULTS One hundred eighty-seven individuals progressed to AD and 265 to PD. Interdaily stability (a measure of regularity, hazard ratio [HR] per SD increase 1.25, 95% confidence interval [CI] 1.05-1.48), diurnal amplitude (HR 0.79, CI 0.65-0.96), mesor (mean activity; HR 0.77, CI 0.59-0.998), and activity during most active 10 h (HR 0.75, CI 0.61-0.94), were associated with risk of AD. Diurnal amplitude (HR 0.28, CI 0.23-0.34), mesor (HR 0.13, CI 0.10-0.16), activity during least active 5 h (HR 0.24, CI 0.08-0.69), and activity during most active 10 h (HR 0.20, CI 0.16-0.25) were associated with risk of PD. Several measures were additionally predictive of longitudinal cognitive test performance. CONCLUSIONS In this community-based longitudinal study, accelerometer-derived metrics were associated with elevated risk of AD, PD, and accelerated cognitive decline. These findings suggest 24-h rhythm integrity, as measured by affordable, non-invasive wearable devices, may serve as a scalable early marker of neurodegenerative disease.
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Affiliation(s)
- Joseph R Winer
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 94304, USA.
| | - Renske Lok
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Lara Weed
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Zihuai He
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 94304, USA
| | - Kathleen L Poston
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 94304, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Elizabeth C Mormino
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 94304, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Jamie M Zeitzer
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
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22
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Salsone M, Vescio B, Quattrone A, Marelli S, Castelnuovo A, Casoni F, Quattrone A, Ferini-Strambi L. Periodic Leg Movements during Sleep Associated with REM Sleep Behavior Disorder: A Machine Learning Study. Diagnostics (Basel) 2024; 14:363. [PMID: 38396401 PMCID: PMC10888394 DOI: 10.3390/diagnostics14040363] [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: 12/07/2023] [Revised: 01/20/2024] [Accepted: 02/01/2024] [Indexed: 02/25/2024] Open
Abstract
Most patients with idiopathic REM sleep behavior disorder (iRBD) present peculiar repetitive leg jerks during sleep in their clinical spectrum, called periodic leg movements (PLMS). The clinical differentiation of iRBD patients with and without PLMS is challenging, without polysomnographic confirmation. The aim of this study is to develop a new Machine Learning (ML) approach to distinguish between iRBD phenotypes. Heart rate variability (HRV) data were acquired from forty-two consecutive iRBD patients (23 with PLMS and 19 without PLMS). All participants underwent video-polysomnography to confirm the clinical diagnosis. ML models based on Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost) were trained on HRV data, and classification performances were assessed using Leave-One-Out cross-validation. No significant clinical differences emerged between the two groups. The RF model showed the best performance in differentiating between iRBD phenotypes with excellent accuracy (86%), sensitivity (96%), and specificity (74%); SVM and XGBoost had good accuracy (81% and 78%, respectively), sensitivity (83% for both), and specificity (79% and 72%, respectively). In contrast, LR had low performances (accuracy 71%). Our results demonstrate that ML algorithms accurately differentiate iRBD patients from those without PLMS, encouraging the use of Artificial Intelligence to support the diagnosis of clinically indistinguishable iRBD phenotypes.
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Affiliation(s)
- Maria Salsone
- Institute of Molecular Bioimaging and Physiology, National Research Council, 20054 Segrate, Italy
- Sleep Disorders Center, Division of Neuroscience, San Raffaele Scientific Institute, 20132 Milan, Italy; (S.M.); (F.C.); (L.F.-S.)
| | - Basilio Vescio
- Neuroimaging Research Unit, Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), 88100 Catanzaro, Italy;
- Biotecnomed S.C.aR.L., c/o Magna Graecia University, G Building, lev.1, 88100 Catanzaro, Italy
| | - Andrea Quattrone
- Institute of Neurology, Magna Graecia University, 88100 Catanzaro, Italy;
| | - Sara Marelli
- Sleep Disorders Center, Division of Neuroscience, San Raffaele Scientific Institute, 20132 Milan, Italy; (S.M.); (F.C.); (L.F.-S.)
| | - Alessandra Castelnuovo
- Sleep Disorders Center, Division of Neuroscience, Vita-Salute San Raffaele University, 20132 Milan, Italy;
| | - Francesca Casoni
- Sleep Disorders Center, Division of Neuroscience, San Raffaele Scientific Institute, 20132 Milan, Italy; (S.M.); (F.C.); (L.F.-S.)
| | - Aldo Quattrone
- Neuroscience Research Center, Magna Graecia University, 88100 Catanzaro, Italy
| | - Luigi Ferini-Strambi
- Sleep Disorders Center, Division of Neuroscience, San Raffaele Scientific Institute, 20132 Milan, Italy; (S.M.); (F.C.); (L.F.-S.)
- Sleep Disorders Center, Division of Neuroscience, Vita-Salute San Raffaele University, 20132 Milan, Italy;
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23
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Peixoto VGMNP, Facci LA, Barbalho TCS, Souza RN, Duarte AM, Almondes KM. The context of COVID-19 affected the long-term sleep quality of older adults more than SARS-CoV-2 infection. Front Psychiatry 2024; 15:1305945. [PMID: 38380125 PMCID: PMC10877719 DOI: 10.3389/fpsyt.2024.1305945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 01/18/2024] [Indexed: 02/22/2024] Open
Abstract
Introduction Sleep problems are one of the most persistent symptoms of post-COVID syndrome in adults. However, most recent research on sleep quality has relied on the impact of the pandemic, with scarcely any data for older adults on the long-term consequences of COVID infection. This study aims to understand whether older individuals present persistently impaired sleep quality after COVID-19 infection and possible moderators for this outcome. Methods This is a cross-sectional analysis of a longitudinal cohort study with 70 elders with 6-month-previous SARS-CoV-2 infection and 153 controls. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality; Geriatric Depression Scale and Geriatric Anxiety Inventory for screening depression and anxiety. Demographics and comorbid conditions were collected. Results The mean age of participants was 66,97 ± 4,64 years. There were no statistical differences in depression and anxiety between groups. Poor sleep quality was found in 52,9% and 43,8% of the COVID and control groups (p=.208). After controlling for multiple variables, all the following factors resulted in greater chances of poor sleep quality: female gender (OR, 2.12; p=.027), memory complaints (OR, 2.49; p=.074), insomnia (OR, 3.66; p=.032), anxiety (OR, 5.46; p<.001), depression (OR, 7.26; p=.001), joint disease (OR, 1.80; p=.050), glucose intolerance (OR, 2.20; p=.045), psychoactive drugs (OR, 8.36; p<.001), diuretics (OR, 2.46; p=.034), and polypharmacy (OR, 2.84; p=.016). Conclusion Psychosocial burden in the context of the COVID-19 pandemic and pre-existing conditions seems to influence the sleep quality of older adults more than SARS-CoV-2 infection.
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Affiliation(s)
- Vanessa Giffoni M. N. P. Peixoto
- Post-graduation Program in Psychobiology, Universidade Federal do Rio Grande do Norte, Natal, Brazil
- Department of Clinical Medicine, Universidade Federal do Rio Grande do Norte, Natal, Brazil
| | - Lucas Alves Facci
- Department of Clinical Medicine Universidade Federal do Rio Grande do Norte, Natal, Brazil
| | - Thiago C. S. Barbalho
- Department of Clinical Medicine Universidade Federal do Rio Grande do Norte, Natal, Brazil
| | | | - Alice Mendes Duarte
- Department of Clinical Medicine Universidade Federal do Rio Grande do Norte, Natal, Brazil
| | - Katie Moraes Almondes
- Post-graduation Program in Psychobiology, Universidade Federal do Rio Grande do Norte, Natal, Brazil
- Department of Psychology, Universidade Federal do Rio Grande do Norte, Natal, Brazil
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24
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Wang S, An N, Wang Y, Li Y, Li H, Bai Y. Knowledge mapping of prodromal Parkinson's disease: A bibliometric review and analysis (2000-2023). Medicine (Baltimore) 2024; 103:e36985. [PMID: 38306521 PMCID: PMC10843421 DOI: 10.1097/md.0000000000036985] [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: 11/22/2023] [Accepted: 12/22/2023] [Indexed: 02/04/2024] Open
Abstract
The prodromal period of Parkinson's disease (PD) is currently a hot topic in PD research. However, no bibliometric analysis has been conducted in this research field. This study aimed to provide a comprehensive overview of the status, hotspots, and trends in the prodromal period of PD using bibliometrics. CiteSpace and visualization of similarities viewer were used to analyze articles and reviews on the prodromal period of PD in the Web of Science Core Collection (WoSCC) database. We analyzed the data on countries, institutions, journals, authors, keywords, and cited references. In total, 909 articles from 65 countries, including the United States (n = 265, 29.15%) and Germany (n = 174, 19.14%), were included. The number of articles and reviews related to the prodromal period of PD has increased yearly. The University of Tubingen (n = 45, 4.95%), McGill University (n = 33, 3.63%), and University of London (n = 33, 3.63%) were the research institutions with the most published studies. Movement Disorders is the journal with the largest number of published papers (n = 98, 10.8%) and the most cited publications (co-citation = 7035). These publications are from 4681 authors, with Berg (n = 49, 5.39%) and Postuma (n = 40, 4.40%) publishing the most publications, and Postuma's study (n = 1206) having the most citations. Studying the nonmotor symptoms of PD precursors is a major topic in this research field. This is the first bibliometric study to comprehensively summarize the research trends and developments in the prodromal period of PD. This information identifies recent research frontiers and hotspots and provides a reference for scholars studying the prodromal period of PD.
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Affiliation(s)
- Shun Wang
- Department of Acupuncture and Moxibustion, The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, China
| | - Ning An
- Second Clinical Medical College, Heilongjiang University of Traditional Chinese Medicine, Heilongjiang, China
| | - Yulin Wang
- Department of Science and Technology, Heilongjiang University of Traditional Chinese Medicine, Heilongjiang, China
| | - Yuan Li
- Department of Acupuncture and Moxibustion, The First Affiliated Hospital of Harbin Medical University, Heilongjiang, China
| | - Hailong Li
- Department of Acupuncture and Moxibustion, Heilongjiang Academy of Traditional Chinese Medicine, Heilongjiang, China
| | - Yan Bai
- Department of Acupuncture and Moxibustion, Heilongjiang Academy of Traditional Chinese Medicine, Institute of Acupuncture and Moxibustion, Heilongjiang, China
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25
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Liu L, Shi Z, Gan J, Liu S, Wen C, Yang Y, Yang F, Ji Y. Characterization of de novo Dementia with Lewy Body with different duration of rapid eye movement sleep behavior disorder. Sleep Med 2024; 114:101-108. [PMID: 38176204 DOI: 10.1016/j.sleep.2023.12.025] [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: 10/16/2023] [Revised: 12/06/2023] [Accepted: 12/25/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND Cognitive disorder, parkinsonism, autonomic dysfunction (AuD) and rapid eye movement sleep behavior disorder (RBD) can occur prior to or simultaneously with Dementia with Lewy Body (DLB) onset. RBD is generally linked with progressive neurodegenerative traits. However, associations between RBD with DLB, RBD without DLB, and RBD duration effects on DLB symptoms remain unclear. OBJECTIVES To examine DLB symptom frequency and subtypes in RBD, and explore the effects of different RBD onset times on symptoms in de novo DLB patients. METHODS In this multicenter investigation, we consecutively recruited 271 de novo DLB patients. All had standardized clinical and comprehensive neuropsychological evaluations. Subgroup analyses, performed based on the duration of RBD confirmed by polysomnography before the DLB diagnosis, we compared the proportion of patients with cognitive impairment, parkinsonism, and AuD features between groups. RESULTS Parkinsonism and AuD incidences were significantly elevated in DLB patients with RBD when compared with patients without RBD. Subgroup analyses indicated no significant differences in parkinsonism between DLB patients who developed RBD ≥10 years prior to the DLB diagnosis and DLB patients without RBD. The incidence of non-tremor-predominant parkinsonism and AuD was significantly higher in DLB patients whose RBD duration before the DLB diagnosis was <10 years when compared with DLB patients without RBD. CONCLUSIONS We identified significant symptom and phenotypic variability between DLB patients with and without RBD. Also, different RBD duration effects before the DLB diagnosis had a significant impact on symptomatic phenotypes, suggesting the existence of a slowly progressive DLB neurodegenerative subtype.
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Affiliation(s)
- Lixin Liu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China; The Psycho Department of Beijing Geriatric Hospital, Beijing, China
| | - Zhihong Shi
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China
| | - Jinghuan Gan
- Department of Neurology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Shuai Liu
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China
| | - Chen Wen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yaqi Yang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Fan Yang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Yong Ji
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China; Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China.
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26
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Perinova P, Nepozitek J, Dostalova S, Bezdicek O, Ruzicka E, Dusek P, Sonka K. Comparison of quantitative REM without atonia parameters in isolated REM sleep behavior disorder and early untreated Parkinson's disease. Sleep Med 2024; 114:290-296. [PMID: 38295508 DOI: 10.1016/j.sleep.2024.01.003] [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: 10/16/2022] [Revised: 01/01/2024] [Accepted: 01/02/2024] [Indexed: 02/02/2024]
Abstract
OBJECTIVES To analyze REM sleep without atonia (RWA) metrics in patients with isolated REM sleep behavior disorder (iRBD), Parkinson's disease (PD) and healthy subjects and compare them in terms of degree of presumed brainstem damage. METHODS Forty-nine iRBD patients, 62 PD patients and 38 healthy controls were included into the analysis. Detailed polysomnographic and clinical data including motor, olfactory, autonomic, and cognitive assessment were obtained in all participants and subsequently compared within groups without RBD (i.e., healthy controls, PD-RBD-) and with RBD (i.e., iRBD, PD-RBD+). SINBAR criteria were used to score RWA. RESULTS Twenty-one PD patients (33.8 %) had RBD. When comparing PD-RBD-patients and controls, RWA tonic (p = 0.001) and RWA mixed (p = 0.03) were higher in PD-RBD-group. PD-RBD-patients had worse olfactory function than controls (p < 0.001); no significant difference in autonomic or cognitive function was registered. There were no significant differences in RWA parameters when comparing iRBD and PD-RBD + groups. iRBD patients had better olfactory function than PD-RBD+ (p = 0.006); no significant difference in autonomic or cognitive function was registered. PD-RBD + had worse autonomic (p = 0.006) and olfactory (p = 0.001) but not motor and cognitive function compared to PD-RBD-. CONCLUSIONS Untreated de-novo PD patients without RBD have increased RWA metrics compared to healthy subjects indicating subclinical degeneration of brainstem nuclei responsible for RWA. iRBD patients do not differ in RWA metrics from untreated de-novo PD patients with premotor RBD suggesting a similar level of brainstem degeneration caudal to substantia nigra in both groups. Groups with RBD are associated with autonomic dysfunction.
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Affiliation(s)
- Pavla Perinova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.
| | - Jiri Nepozitek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Simona Dostalova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Ondrej Bezdicek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Evzen Ruzicka
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Petr Dusek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Karel Sonka
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
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27
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Ndayisaba A, Pitaro AT, Willett AS, Jones KA, de Gusmao CM, Olsen AL, Kim J, Rissanen E, Woods JK, Srinivasan SR, Nagy A, Nagy A, Mesidor M, Cicero S, Patel V, Oakley DH, Tuncali I, Taglieri-Noble K, Clark EC, Paulson J, Krolewski RC, Ho GP, Hung AY, Wills AM, Hayes MT, Macmore JP, Warren L, Bower PG, Langer CB, Kellerman LR, Humphreys CW, Glanz BI, Dielubanza EJ, Frosch MP, Freeman RL, Gibbons CH, Stefanova N, Chitnis T, Weiner HL, Scherzer CR, Scholz SW, Vuzman D, Cox LM, Wenning G, Schmahmann JD, Gupta AS, Novak P, Young GS, Feany MB, Singhal T, Khurana V. Clinical Trial-Ready Patient Cohorts for Multiple System Atrophy: Coupling Biospecimen and iPSC Banking to Longitudinal Deep-Phenotyping. CEREBELLUM (LONDON, ENGLAND) 2024; 23:31-51. [PMID: 36190676 PMCID: PMC9527378 DOI: 10.1007/s12311-022-01471-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 08/26/2022] [Indexed: 11/30/2022]
Abstract
Multiple system atrophy (MSA) is a fatal neurodegenerative disease of unknown etiology characterized by widespread aggregation of the protein alpha-synuclein in neurons and glia. Its orphan status, biological relationship to Parkinson's disease (PD), and rapid progression have sparked interest in drug development. One significant obstacle to therapeutics is disease heterogeneity. Here, we share our process of developing a clinical trial-ready cohort of MSA patients (69 patients in 2 years) within an outpatient clinical setting, and recruiting 20 of these patients into a longitudinal "n-of-few" clinical trial paradigm. First, we deeply phenotype our patients with clinical scales (UMSARS, BARS, MoCA, NMSS, and UPSIT) and tests designed to establish early differential diagnosis (including volumetric MRI, FDG-PET, MIBG scan, polysomnography, genetic testing, autonomic function tests, skin biopsy) or disease activity (PBR06-TSPO). Second, we longitudinally collect biospecimens (blood, CSF, stool) and clinical, biometric, and imaging data to generate antecedent disease-progression scores. Third, in our Mass General Brigham SCiN study (stem cells in neurodegeneration), we generate induced pluripotent stem cell (iPSC) models from our patients, matched to biospecimens, including postmortem brain. We present 38 iPSC lines derived from MSA patients and relevant disease controls (spinocerebellar ataxia and PD, including alpha-synuclein triplication cases), 22 matched to whole-genome sequenced postmortem brain. iPSC models may facilitate matching patients to appropriate therapies, particularly in heterogeneous diseases for which patient-specific biology may elude animal models. We anticipate that deeply phenotyped and genotyped patient cohorts matched to cellular models will increase the likelihood of success in clinical trials for MSA.
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Affiliation(s)
- Alain Ndayisaba
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
- Division of Clinical Neurobiology, Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Ariana T Pitaro
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Andrew S Willett
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Kristie A Jones
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Claudio Melo de Gusmao
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Abby L Olsen
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Jisoo Kim
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Eero Rissanen
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Jared K Woods
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Sharan R Srinivasan
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
- Department of Neurology, University of Michigan, Ann Arbor, MI , 48103, USA
| | - Anna Nagy
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Amanda Nagy
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Merlyne Mesidor
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Steven Cicero
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Viharkumar Patel
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Derek H Oakley
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Idil Tuncali
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Katherine Taglieri-Noble
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Emily C Clark
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Jordan Paulson
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Richard C Krolewski
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Gary P Ho
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Albert Y Hung
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Anne-Marie Wills
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Michael T Hayes
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Jason P Macmore
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | | | - Pamela G Bower
- The Multiple System Atrophy Coalition, Inc., 7918 Jones Branch Drive, Suite 300, McLean, VA, 22102, USA
| | - Carol B Langer
- The Multiple System Atrophy Coalition, Inc., 7918 Jones Branch Drive, Suite 300, McLean, VA, 22102, USA
| | - Lawrence R Kellerman
- The Multiple System Atrophy Coalition, Inc., 7918 Jones Branch Drive, Suite 300, McLean, VA, 22102, USA
| | - Christopher W Humphreys
- Department of Pulmonary, Sleep and Critical Care Medicine, Salem Hospital, MassGeneral Brigham, Salem, MA, 01970, USA
| | - Bonnie I Glanz
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Elodi J Dielubanza
- Department of Urology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Matthew P Frosch
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Roy L Freeman
- Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02115, USA
| | - Christopher H Gibbons
- Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02115, USA
| | - Nadia Stefanova
- Division of Clinical Neurobiology, Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Tanuja Chitnis
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Howard L Weiner
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Clemens R Scherzer
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Sonja W Scholz
- Laboratory of Neurogenetics, Disorders and Stroke, National Institute of Neurological, National Institute of Neurological Disorders and Stroke, Bethesda, MD, 20892, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, 21287, USA
| | - Dana Vuzman
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Laura M Cox
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Gregor Wenning
- Division of Clinical Neurobiology, Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Jeremy D Schmahmann
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Anoopum S Gupta
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Peter Novak
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Geoffrey S Young
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Mel B Feany
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Tarun Singhal
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA
| | - Vikram Khurana
- Department of Neurology, Building for Transformative Medicine Room 10016L, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Road, Boston, 02115, USA.
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28
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Ferini-Strambi L, Liguori C, Lucey BP, Mander BA, Spira AP, Videnovic A, Baumann C, Franco O, Fernandes M, Gnarra O, Krack P, Manconi M, Noain D, Saxena S, Kallweit U, Randerath W, Trenkwalder C, Rosenzweig I, Iranzo A, Bradicich M, Bassetti C. Role of sleep in neurodegeneration: the consensus report of the 5th Think Tank World Sleep Forum. Neurol Sci 2024; 45:749-767. [PMID: 38087143 DOI: 10.1007/s10072-023-07232-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 11/26/2023] [Indexed: 01/18/2024]
Abstract
Sleep abnormalities may represent an independent risk factor for neurodegeneration. An international expert group convened in 2021 to discuss the state-of-the-science in this domain. The present article summarizes the presentations and discussions concerning the importance of a strategy for studying sleep- and circadian-related interventions for early detection and prevention of neurodegenerative diseases. An international expert group considered the current state of knowledge based on the most relevant publications in the previous 5 years; discussed the current challenges in the field of relationships among sleep, sleep disorders, and neurodegeneration; and identified future priorities. Sleep efficiency and slow wave activity during non-rapid eye movement (NREM) sleep are decreased in cognitively normal middle-aged and older adults with Alzheimer's disease (AD) pathology. Sleep deprivation increases amyloid-β (Aβ) concentrations in the interstitial fluid of experimental animal models and in cerebrospinal fluid in humans, while increased sleep decreases Aβ. Obstructive sleep apnea (OSA) is a risk factor for dementia. Studies indicate that positive airway pressure (PAP) treatment should be started in patients with mild cognitive impairment or AD and comorbid OSA. Identification of other measures of nocturnal hypoxia and sleep fragmentation could better clarify the role of OSA as a risk factor for neurodegeneration. Concerning REM sleep behavior disorder (RBD), it will be crucial to identify the subset of RBD patients who will convert to a specific neurodegenerative disorder. Circadian sleep-wake rhythm disorders (CSWRD) are strong predictors of caregiver stress and institutionalization, but the absence of recommendations or consensus statements must be considered. Future priorities include to develop and validate existing and novel comprehensive assessments of CSWRD in patients with/at risk for dementia. Strategies for studying sleep-circadian-related interventions for early detection/prevention of neurodegenerative diseases are required. CSWRD evaluation may help to identify additional biomarkers for phenotyping and personalizing treatment of neurodegeneration.
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Affiliation(s)
- Luigi Ferini-Strambi
- Sleep Disorders Center, Division of Neuroscience, Università Vita-Salute San Raffaele, Milan, Italy.
| | - Claudio Liguori
- Sleep Medicine Center, University of Rome Tor Vergata, Rome, Italy
| | - Brendan P Lucey
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Bryce A Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Adam P Spira
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Aleksandar Videnovic
- Department of Neurology, Division of Sleep Medicine, Massachussets General Hospital, Harvard Medical School, Boston, MA, USA
| | - Christian Baumann
- Department of Neurology, University Hospital Zurich, Zurich, Switzerland
| | - Oscar Franco
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | | | - Oriella Gnarra
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Paul Krack
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Mauro Manconi
- Sleep Medicine Unit, Faculty of Biomedical Sciences, Neurocenter of the Southern Switzerland, Regional Hospital of Lugano, Università Della Svizzera Italiana, Lugano, Switzerland
| | - Daniela Noain
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Smita Saxena
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Ulf Kallweit
- Clinical Sleep and Neuroimmunology, University Witten/Herdecke, Witten, Germany
| | | | - C Trenkwalder
- Department of Neurosurgery, Paracelsus-Elena Klinik, University Medical Center, KasselGoettingen, Germany
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, King's College London, London, UK
| | - Alex Iranzo
- Sleep Center, Neurology Service, Hospital Clinic de Barcelona, Barcelona, IDIBAPS, CIBERNED, Barcelona, Spain
| | - Matteo Bradicich
- Department of Pulmonology and Sleep Disorders Centre, University Hospital Zurich, Zurich, Switzerland
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29
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Rahayel S, Postuma R, Baril AA, Misic B, Pelletier A, Soucy JP, Montplaisir J, Dagher A, Gagnon JF. 99mTc-HMPAO SPECT Perfusion Signatures Associated With Clinical Progression in Patients With Isolated REM Sleep Behavior Disorder. Neurology 2024; 102:e208015. [PMID: 38315966 PMCID: PMC10890831 DOI: 10.1212/wnl.0000000000208015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 10/03/2023] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Idiopathic/isolated REM sleep behavior disorder (iRBD) is associated with dementia with Lewy bodies and Parkinson disease. Despite evidence of abnormal cerebral perfusion in iRBD, there is currently no pattern that can predict whether an individual will develop dementia with Lewy bodies or Parkinson disease. The objective was to identify a perfusion signature associated with conversion to dementia with Lewy bodies in iRBD. METHODS Patients with iRBD underwent video-polysomnography, neurologic and neuropsychological assessments, and baseline 99mTc-HMPAO SPECT to assess relative cerebral blood flow. Partial least squares correlation was used to identify latent variables that maximized covariance between 27 clinical features and relative gray matter perfusion. Patient-specific scores on the latent variables were used to test the association with conversion to dementia with Lewy bodies compared with that with Parkinson disease. The signature's expression was also assessed in 24 patients with iRBD who underwent a second perfusion scan, 22 healthy controls, and 19 individuals with Parkinson disease. RESULTS Of the 137 participants, 93 underwent SPECT processing, namely 52 patients with iRBD (67.9 years, 73% men), 19 patients with Parkinson disease (67.3 years, 37% men), and 22 controls (67.0 years, 73% men). Of the 47 patients with iRBD followed up longitudinally (4.5 years), 12 (26%) developed a manifest synucleinopathy (4 dementia with Lewy bodies and 8 Parkinson disease). Analysis revealed 2 latent variables between relative blood flow and clinical features: the first was associated with a broad set of features that included motor, cognitive, and perceptual variables, age, and sex; the second was mostly associated with cognitive features and RBD duration. When brought back into the patient's space, the expression of the first variable was associated with conversion to a manifest synucleinopathy, whereas the second was associated with conversion to dementia with Lewy bodies. The expression of the patterns changed over time and was associated with worse motor features. DISCUSSION This study identified a brain perfusion signature associated with cognitive impairment in iRBD and transition to dementia with Lewy bodies. This signature, which can be derived from individual scans, has the potential to be developed into a biomarker that predicts dementia with Lewy bodies in at-risk individuals.
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Affiliation(s)
- Shady Rahayel
- From the Department of Medicine (S.R., A.-A.B.), University of Montreal; Centre for Advanced Research in Sleep Medicine (S.R., R.P., A.-A.B., A.P., J.M., J.-F.G.), CIUSSS-NÎM - Hôpital du Sacré-Cœur de Montréal; Department of Neurology (R.P., A.P.), Montreal General Hospital; The Neuro (Montreal Neurological Institute-Hospital) (B.M., J.-P.S., A.D.), McGill University; Department of Psychiatry (J.M.), University of Montreal; and Department of Psychology (J.-F.G.), Université du Québec à Montréal, Canada
| | - Ronald Postuma
- From the Department of Medicine (S.R., A.-A.B.), University of Montreal; Centre for Advanced Research in Sleep Medicine (S.R., R.P., A.-A.B., A.P., J.M., J.-F.G.), CIUSSS-NÎM - Hôpital du Sacré-Cœur de Montréal; Department of Neurology (R.P., A.P.), Montreal General Hospital; The Neuro (Montreal Neurological Institute-Hospital) (B.M., J.-P.S., A.D.), McGill University; Department of Psychiatry (J.M.), University of Montreal; and Department of Psychology (J.-F.G.), Université du Québec à Montréal, Canada
| | - Andrée-Ann Baril
- From the Department of Medicine (S.R., A.-A.B.), University of Montreal; Centre for Advanced Research in Sleep Medicine (S.R., R.P., A.-A.B., A.P., J.M., J.-F.G.), CIUSSS-NÎM - Hôpital du Sacré-Cœur de Montréal; Department of Neurology (R.P., A.P.), Montreal General Hospital; The Neuro (Montreal Neurological Institute-Hospital) (B.M., J.-P.S., A.D.), McGill University; Department of Psychiatry (J.M.), University of Montreal; and Department of Psychology (J.-F.G.), Université du Québec à Montréal, Canada
| | - Bratislav Misic
- From the Department of Medicine (S.R., A.-A.B.), University of Montreal; Centre for Advanced Research in Sleep Medicine (S.R., R.P., A.-A.B., A.P., J.M., J.-F.G.), CIUSSS-NÎM - Hôpital du Sacré-Cœur de Montréal; Department of Neurology (R.P., A.P.), Montreal General Hospital; The Neuro (Montreal Neurological Institute-Hospital) (B.M., J.-P.S., A.D.), McGill University; Department of Psychiatry (J.M.), University of Montreal; and Department of Psychology (J.-F.G.), Université du Québec à Montréal, Canada
| | - Amélie Pelletier
- From the Department of Medicine (S.R., A.-A.B.), University of Montreal; Centre for Advanced Research in Sleep Medicine (S.R., R.P., A.-A.B., A.P., J.M., J.-F.G.), CIUSSS-NÎM - Hôpital du Sacré-Cœur de Montréal; Department of Neurology (R.P., A.P.), Montreal General Hospital; The Neuro (Montreal Neurological Institute-Hospital) (B.M., J.-P.S., A.D.), McGill University; Department of Psychiatry (J.M.), University of Montreal; and Department of Psychology (J.-F.G.), Université du Québec à Montréal, Canada
| | - Jean-Paul Soucy
- From the Department of Medicine (S.R., A.-A.B.), University of Montreal; Centre for Advanced Research in Sleep Medicine (S.R., R.P., A.-A.B., A.P., J.M., J.-F.G.), CIUSSS-NÎM - Hôpital du Sacré-Cœur de Montréal; Department of Neurology (R.P., A.P.), Montreal General Hospital; The Neuro (Montreal Neurological Institute-Hospital) (B.M., J.-P.S., A.D.), McGill University; Department of Psychiatry (J.M.), University of Montreal; and Department of Psychology (J.-F.G.), Université du Québec à Montréal, Canada
| | - Jacques Montplaisir
- From the Department of Medicine (S.R., A.-A.B.), University of Montreal; Centre for Advanced Research in Sleep Medicine (S.R., R.P., A.-A.B., A.P., J.M., J.-F.G.), CIUSSS-NÎM - Hôpital du Sacré-Cœur de Montréal; Department of Neurology (R.P., A.P.), Montreal General Hospital; The Neuro (Montreal Neurological Institute-Hospital) (B.M., J.-P.S., A.D.), McGill University; Department of Psychiatry (J.M.), University of Montreal; and Department of Psychology (J.-F.G.), Université du Québec à Montréal, Canada
| | - Alain Dagher
- From the Department of Medicine (S.R., A.-A.B.), University of Montreal; Centre for Advanced Research in Sleep Medicine (S.R., R.P., A.-A.B., A.P., J.M., J.-F.G.), CIUSSS-NÎM - Hôpital du Sacré-Cœur de Montréal; Department of Neurology (R.P., A.P.), Montreal General Hospital; The Neuro (Montreal Neurological Institute-Hospital) (B.M., J.-P.S., A.D.), McGill University; Department of Psychiatry (J.M.), University of Montreal; and Department of Psychology (J.-F.G.), Université du Québec à Montréal, Canada
| | - Jean-François Gagnon
- From the Department of Medicine (S.R., A.-A.B.), University of Montreal; Centre for Advanced Research in Sleep Medicine (S.R., R.P., A.-A.B., A.P., J.M., J.-F.G.), CIUSSS-NÎM - Hôpital du Sacré-Cœur de Montréal; Department of Neurology (R.P., A.P.), Montreal General Hospital; The Neuro (Montreal Neurological Institute-Hospital) (B.M., J.-P.S., A.D.), McGill University; Department of Psychiatry (J.M.), University of Montreal; and Department of Psychology (J.-F.G.), Université du Québec à Montréal, Canada
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Mogavero MP, Ferri R, Marelli S, Lanza G, Terzaghi M, Castelnuovo A, DelRosso LM, Schenck CH, Ferini‐Strambi L. Polysomnographic features associated with clonazepam and melatonin treatment in isolated REM sleep behavior disorder: Time for new therapeutic approaches? CNS Neurosci Ther 2024; 30:e14569. [PMID: 38421131 PMCID: PMC10850928 DOI: 10.1111/cns.14569] [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: 05/01/2023] [Revised: 09/06/2023] [Accepted: 12/02/2023] [Indexed: 03/02/2024] Open
Abstract
AIMS Although clonazepam (CLO) and melatonin (MLT) are the most frequently used treatments for REM sleep behavior disorder, the polysomnographic features associated with their use are little known. The aim of this study was to evaluate polysomnographic and clinical parameters of patients with idiopathic/isolated REM sleep behavior disorder (iRBD) treated chronically with CLO, sustained-release MLT, alone or in combination, and in a group of drug-free iRBD patients. METHODS A total of 96 patients were enrolled: 43 drug-free, 21 with CLO (0.5-2 mg), 20 with sustained-release MLT (1-4 mg), and 12 taking a combination of them (same doses). Clinical variables and polysomnography were collected. RESULTS Although clinical improvement was reported in all groups, MLT impacted sleep architecture more than the other treatments, with significant and large increase in N3 stage, moderate reduction in N2 and REM sleep, and moderate increase in REM latency. CLO moderately increased the percentage of both REM sleep and especially N2, while reducing N1 and wakefulness. Patients treated with both CLO and MLT did not show major changes in sleep architecture. CONCLUSION These results suggest that the administration of MLT or CLO impacts (positively) on sleep parameters of iRBD patients. However, there is a need to better stratify patients, in order to treat them in a targeted manner, depending on the patient's individual sleep architecture and expected differential effects of these agents.
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Affiliation(s)
- Maria P. Mogavero
- Vita‐Salute San Raffaele UniversityMilanItaly
- Sleep Disorders Center, Division of NeuroscienceSan Raffaele Scientific InstituteMilanItaly
| | - Raffaele Ferri
- Sleep Research Centre and Clinical Neurophysiology Research UnitOasi Research Institute – IRCCSTroinaItaly
| | - Sara Marelli
- Vita‐Salute San Raffaele UniversityMilanItaly
- Sleep Disorders Center, Division of NeuroscienceSan Raffaele Scientific InstituteMilanItaly
| | - Giuseppe Lanza
- Sleep Research Centre and Clinical Neurophysiology Research UnitOasi Research Institute – IRCCSTroinaItaly
- Department of Surgery and Medical‐Surgical SpecialtiesUniversity of CataniaCataniaItaly
| | - Michele Terzaghi
- Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly
- Unit of Sleep Medicine and EpilepsyIRCCS Mondino FoundationPaviaItaly
| | - Alessandra Castelnuovo
- Vita‐Salute San Raffaele UniversityMilanItaly
- Sleep Disorders Center, Division of NeuroscienceSan Raffaele Scientific InstituteMilanItaly
| | | | - Carlos H. Schenck
- Minnesota Regional Sleep Disorders Center, Department of Psychiatry, Hennepin County Medical CenterUniversity of Minnesota Medical SchoolMinneapolisMinnesotaUSA
| | - Luigi Ferini‐Strambi
- Vita‐Salute San Raffaele UniversityMilanItaly
- Sleep Disorders Center, Division of NeuroscienceSan Raffaele Scientific InstituteMilanItaly
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31
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Fernandes M, Maio S, Eusebi P, Placidi F, Izzi F, Spanetta M, De Masi C, Lupo C, Calvello C, Nuccetelli M, Bernardini S, Mercuri NB, Liguori C. Cerebrospinal-fluid biomarkers for predicting phenoconversion in patients with isolated rapid-eye movement sleep behavior disorder. Sleep 2024; 47:zsad198. [PMID: 37542734 DOI: 10.1093/sleep/zsad198] [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: 02/24/2023] [Revised: 05/22/2023] [Indexed: 08/07/2023] Open
Abstract
STUDY OBJECTIVES Patients with isolated rapid-eye-movement sleep behavior disorder (iRBD) have an increased risk of developing neurodegenerative diseases. This study assessed cerebrospinal-fluid (CSF) biomarkers of neurodegeneration and blood-brain barrier (BBB) alteration in patients with iRBD compared to controls and ascertain whether these biomarkers may predict phenoconversion to alpha-synucleinopathies (Parkinson's Disease (PD), Dementia with Lewy bodies (DLB), Multiple System Atrophy (MSA)). METHODS Patients and controls underwent between 2012 and 2016 a neurological assessment, a lumbar puncture for CSF biomarker analysis (β-amyloid42 - Aβ42; total-tau, and phosphorylated tau), and BBB alteration (CSF/serum albumin ratio). All patients with iRBD were followed until 2021 and then classified into patients who converted to alpha-synucleinopathies (iRBD converters, cRBD) or not (iRBD non-converters, ncRBD). RESULTS Thirty-four patients with iRBD (mean age 67.12 ± 8.14) and 33 controls (mean age 64.97 ± 8.91) were included. At follow-up (7.63 ± 3.40 years), eight patients were ncRBD and 33 patients were cRBD: eleven converted to PD, 10 to DLB, and two to MSA. Patients with iRBD showed lower CSF Aβ42 levels and higher CSF/serum albumin ratio than controls. Cox regression analysis showed that the phenoconversion rate increases with higher motor impairment (hazard ratio [HR] = 1.23, p = 0.032). CSF Aβ42 levels predicted phenoconversion to DLB (HR = 0.67, p = 0.038) and BBB alteration predicted phenoconversion to PD (HR = 1.20, p = 0.038). DISCUSSION This study showed that low CSF Aβ42 levels and high BBB alteration may predict the phenoconversion to DLB and PD in patients with iRBD, respectively. These findings highlight the possibility to discriminate phenoconversion in iRBD patients through CSF biomarkers; however, further studies are needed.
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Affiliation(s)
- Mariana Fernandes
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
| | - Silvia Maio
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
- Sleep Medicine Centre, Neurology Unit, University Hospital "Tor Vergata", Rome, Italy
| | - Paolo Eusebi
- Department of Medicine, Neurology Clinic, University Hospital of Perugia, Italy
| | - Fabio Placidi
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
- Sleep Medicine Centre, Neurology Unit, University Hospital "Tor Vergata", Rome, Italy
| | - Francesca Izzi
- Sleep Medicine Centre, Neurology Unit, University Hospital "Tor Vergata", Rome, Italy
| | - Matteo Spanetta
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
| | - Claudia De Masi
- Sleep Medicine Centre, Neurology Unit, University Hospital "Tor Vergata", Rome, Italy
| | - Clementina Lupo
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
| | - Carmen Calvello
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
| | - Marzia Nuccetelli
- Department of Clinical Biochemistry and Molecular Biology, University of Rome "Tor Vergata", Rome, Italy
| | - Sergio Bernardini
- Department of Clinical Biochemistry and Molecular Biology, University of Rome "Tor Vergata", Rome, Italy
| | - Nicola Biagio Mercuri
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
- Sleep Medicine Centre, Neurology Unit, University Hospital "Tor Vergata", Rome, Italy
| | - Claudio Liguori
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
- Sleep Medicine Centre, Neurology Unit, University Hospital "Tor Vergata", Rome, Italy
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32
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Li Y, Cao Y, Liu W, Chen F, Zhang H, Zhou H, Zhao A, Luo N, Liu J, Wu L. Candidate biomarkers of EV-microRNA in detecting REM sleep behavior disorder and Parkinson's disease. NPJ Parkinsons Dis 2024; 10:18. [PMID: 38200052 PMCID: PMC10781790 DOI: 10.1038/s41531-023-00628-4] [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: 02/22/2022] [Accepted: 12/27/2023] [Indexed: 01/12/2024] Open
Abstract
Parkinson's disease (PD) lacks reliable, non-invasive biomarker tests for early intervention and management. Thus, a minimally invasive test for the early detection and monitoring of PD and REM sleep behavior disorder (iRBD) is a highly unmet need for developing drugs and planning patient care. Extracellular vehicles (EVs) are found in a wide variety of biofluids, including plasma. EV-mediated functional transfer of microRNAs (miRNAs) may be viable candidates as biomarkers for PD and iRBD. Next-generation sequencing (NGS) of EV-derived small RNAs was performed in 60 normal controls, 56 iRBD patients and 53 PD patients to profile small non-coding RNAs (sncRNAs). Moreover, prospective follow-up was performed for these 56 iRBD patients for an average of 3.3 years. Full-scale miRNA profiles of plasma EVs were evaluated by machine-learning methods. After optimizing the library construction method for low RNA inputs (named EVsmall-seq), we built a machine learning algorithm that identified diagnostic miRNA signatures for distinguishing iRBD patients (AUC 0.969) and PD patients (AUC 0.916) from healthy individuals; and PD patients (AUC 0.929) from iRBD patients. We illustrated all the possible expression patterns across healthy-iRBD-PD hierarchy. We also showed 20 examples of miRNAs with consistently increasing or decreasing expression levels from controls to iRBD to PD. In addition, four miRNAs were found to be correlated with iRBD conversion. Distinct characteristics of the miRNA profiles among normal, iRBD and PD samples were discovered, which provides a panel of promising biomarkers for the identification of PD patients and those in the prodromal stage iRBD.
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Affiliation(s)
- Yuanyuan Li
- Department of Neurology & Institute of Neurology, Ruijin Hospital affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ying Cao
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, China
- Institute for Precision Medicine, Tsinghua University, Beijing, China
| | - Wei Liu
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
- Lingang Laboratory, Shanghai, China
| | - Fangzheng Chen
- Department of Neurology & Institute of Neurology, Ruijin Hospital affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hongdao Zhang
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
| | - Haisheng Zhou
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
| | - Aonan Zhao
- Department of Neurology & Institute of Neurology, Ruijin Hospital affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ningdi Luo
- Department of Neurology & Institute of Neurology, Ruijin Hospital affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jun Liu
- Department of Neurology & Institute of Neurology, Ruijin Hospital affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
| | - Ligang Wu
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China.
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33
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Yang Y, Kim WS, Michaelian JC, Lewis SJG, Phillips CL, D'Rozario AL, Chatterjee P, Martins RN, Grunstein R, Halliday GM, Naismith SL. Predicting neurodegeneration from sleep related biofluid changes. Neurobiol Dis 2024; 190:106369. [PMID: 38049012 DOI: 10.1016/j.nbd.2023.106369] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 11/30/2023] [Accepted: 12/01/2023] [Indexed: 12/06/2023] Open
Abstract
Sleep-wake disturbances are common in neurodegenerative diseases and may occur years before the clinical diagnosis, potentially either representing an early stage of the disease itself or acting as a pathophysiological driver. Therefore, discovering biomarkers that identify individuals with sleep-wake disturbances who are at risk of developing neurodegenerative diseases will allow early diagnosis and intervention. Given the association between sleep and neurodegeneration, the most frequently analyzed fluid biomarkers in people with sleep-wake disturbances to date include those directly associated with neurodegeneration itself, such as neurofilament light chain, phosphorylated tau, amyloid-beta and alpha-synuclein. Abnormalities in these biomarkers in patients with sleep-wake disturbances are considered as evidence of an underlying neurodegenerative process. Levels of hormonal sleep-related biomarkers such as melatonin, cortisol and orexin are often abnormal in patients with clinical neurodegenerative diseases, but their relationships with the more standard neurodegenerative biomarkers remain unclear. Similarly, it is unclear whether other chronobiological/circadian biomarkers, such as disrupted clock gene expression, are causal factors or a consequence of neurodegeneration. Current data would suggest that a combination of fluid biomarkers may identify sleep-wake disturbances that are most predictive for the risk of developing neurodegenerative disease with more optimal sensitivity and specificity.
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Affiliation(s)
- Yue Yang
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia.
| | - Woojin Scott Kim
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia.
| | - Johannes C Michaelian
- Healthy Brain Ageing Program, School of Psychology, Brain and Mind Centre & The Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, Australia.
| | - Simon J G Lewis
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia; Parkinson's Disease Research Clinic, Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia.
| | - Craig L Phillips
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW 2109, Australia; Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia.
| | - Angela L D'Rozario
- Healthy Brain Ageing Program, School of Psychology, Brain and Mind Centre & The Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, Australia; CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW 2109, Australia.
| | - Pratishtha Chatterjee
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia; School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia.
| | - Ralph N Martins
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia; School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia; School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, WA 6009, Australia.
| | - Ron Grunstein
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW 2109, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.
| | - Glenda M Halliday
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia.
| | - Sharon L Naismith
- Healthy Brain Ageing Program, School of Psychology, Brain and Mind Centre & The Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, Australia.
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34
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Stær K, Iranzo A, Terkelsen MH, Stokholm MG, Danielsen EH, Østergaard K, Serradell M, Otto M, Svendsen KB, Garrido A, Vilas D, Santamaria J, Møller A, Gaig C, Brooks DJ, Borghammer P, Tolosa E, Pavese N. Progression of brain cholinergic dysfunction in patients with isolated rapid eye movement sleep behavior disorder. Eur J Neurol 2024; 31:e16101. [PMID: 37847229 PMCID: PMC11236023 DOI: 10.1111/ene.16101] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 09/25/2023] [Accepted: 09/27/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND Reduced cortical acetylcholinesterase activity, as measured by 11 C-donepezil positron emission tomography (PET), has been reported in patients with isolated rapid eye movement (REM) sleep behavior disorder (iRBD). However, its progression and clinical implications have not been fully investigated. Here, we explored the relationship between longitudinal changes in brain acetylcholinesterase activity and cognitive function in iRBD. METHODS Twelve iRBD patients underwent 11 C-donepezil PET at baseline and after 3 years. PET images were interrogated with statistical parametric mapping (SPM) and a regions of interest (ROI) approach. Clinical progression was assessed with the Movement Disorder Society-Unified Parkinson's Disease Rating Scale-Part III (MDS-UPDRS-III). Cognitive function was rated using the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). RESULTS From baseline to follow-up, the mean 11 C-donepezil distribution volume ratio (DVR) decreased in the cortex (p = 0.006), thalamus (p = 0.013), and caudate (p = 0.013) ROI. Despite no significant changes in the group mean MMSE or MoCA scores being observed, individually, seven patients showed a decline in their scores on these cognitive tests. Subgroup analysis showed that only the subgroup of patients with a decline in cognitive scores had a significant reduction in mean cortical 11 C-donepezil DVR. CONCLUSIONS Our results show that severity of brain cholinergic dysfunction in iRBD patients increases significantly over 3 years, and those changes are more severe in those with a decline in cognitive test scores.
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Affiliation(s)
- Kristian Stær
- Department of Nuclear Medicine & PET, Institute of Clinical MedicineAarhus UniversityAarhus NDenmark
| | - Alex Iranzo
- Department of NeurologyHospital Clínic de BarcelonaBarcelonaSpain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic, IDIBAPSUniversitat de BarcelonaCataloniaSpain
- Sleep Disorders CenterHospital ClinicBarcelonaSpain
| | - Miriam Højholt Terkelsen
- Department of Nuclear Medicine & PET, Institute of Clinical MedicineAarhus UniversityAarhus NDenmark
- Department of NeurologyAarhus University HospitalAarhus NDenmark
| | - Morten Gersel Stokholm
- Department of Nuclear Medicine & PET, Institute of Clinical MedicineAarhus UniversityAarhus NDenmark
| | | | - Karen Østergaard
- Department of NeurologyAarhus University HospitalAarhus NDenmark
| | - Mónica Serradell
- Department of NeurologyHospital Clínic de BarcelonaBarcelonaSpain
- Sleep Disorders CenterHospital ClinicBarcelonaSpain
| | - Marit Otto
- Department of NeurologyAarhus University HospitalAarhus NDenmark
- Department of Clinical NeurophysiologyAarhus University HospitalAarhus NDenmark
| | | | - Alicia Garrido
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic, IDIBAPSUniversitat de BarcelonaCataloniaSpain
- Movement Disorders Unit, Neurology ServiceHospital Clínic de BarcelonaCataloniaSpain
| | - Dolores Vilas
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic, IDIBAPSUniversitat de BarcelonaCataloniaSpain
- Movement Disorders Unit, Neurology ServiceHospital Clínic de BarcelonaCataloniaSpain
| | - Joan Santamaria
- Department of NeurologyHospital Clínic de BarcelonaBarcelonaSpain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic, IDIBAPSUniversitat de BarcelonaCataloniaSpain
- Sleep Disorders CenterHospital ClinicBarcelonaSpain
| | - Arne Møller
- Department of Nuclear Medicine & PET, Institute of Clinical MedicineAarhus UniversityAarhus NDenmark
| | - Carles Gaig
- Department of NeurologyHospital Clínic de BarcelonaBarcelonaSpain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic, IDIBAPSUniversitat de BarcelonaCataloniaSpain
- Sleep Disorders CenterHospital ClinicBarcelonaSpain
| | - David J. Brooks
- Department of Nuclear Medicine & PET, Institute of Clinical MedicineAarhus UniversityAarhus NDenmark
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Per Borghammer
- Department of Nuclear Medicine & PET, Institute of Clinical MedicineAarhus UniversityAarhus NDenmark
| | - Eduardo Tolosa
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic, IDIBAPSUniversitat de BarcelonaCataloniaSpain
- Movement Disorders Unit, Neurology ServiceHospital Clínic de BarcelonaCataloniaSpain
| | - Nicola Pavese
- Department of Nuclear Medicine & PET, Institute of Clinical MedicineAarhus UniversityAarhus NDenmark
- Translational and Clinical Research InstituteNewcastle UniversityNewcastle upon TyneUK
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35
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Giri S, Mehta R, Mallick BN. REM Sleep Loss-Induced Elevated Noradrenaline Plays a Significant Role in Neurodegeneration: Synthesis of Findings to Propose a Possible Mechanism of Action from Molecule to Patho-Physiological Changes. Brain Sci 2023; 14:8. [PMID: 38275513 PMCID: PMC10813190 DOI: 10.3390/brainsci14010008] [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: 12/01/2023] [Accepted: 12/17/2023] [Indexed: 01/27/2024] Open
Abstract
Wear and tear are natural processes for all living and non-living bodies. All living cells and organisms are metabolically active to generate energy for their routine needs, including for survival. In the process, the cells are exposed to oxidative load, metabolic waste, and bye-products. In an organ, the living non-neuronal cells divide and replenish the lost or damaged cells; however, as neuronal cells normally do not divide, they need special feature(s) for their protection, survival, and sustenance for normal functioning of the brain. The neurons grow and branch as axons and dendrites, which contribute to the formation of synapses with near and far neurons, the basic scaffold for complex brain functions. It is necessary that one or more basic and instinct physiological process(es) (functions) is likely to contribute to the protection of the neurons and maintenance of the synapses. It is known that rapid eye movement sleep (REMS), an autonomic instinct behavior, maintains brain functioning including learning and memory and its loss causes dysfunctions. In this review we correlate the role of REMS and its loss in synaptogenesis, memory consolidation, and neuronal degeneration. Further, as a mechanism of action, we will show that REMS maintains noradrenaline (NA) at a low level, which protects neurons from oxidative damage and maintains neuronal growth and synaptogenesis. However, upon REMS loss, the level of NA increases, which withdraws protection and causes apoptosis and loss of synapses and neurons. We propose that the latter possibly causes REMS loss associated neurodegenerative diseases and associated symptoms.
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Affiliation(s)
- Shatrunjai Giri
- Department of Biosciences, Manipal University Jaipur, Jaipur 303007, India;
| | - Rachna Mehta
- Amity Institute of Neuropsychology & Neurosciences, Amity University, Noida 201301, India;
| | - Birendra Nath Mallick
- Amity Institute of Neuropsychology & Neurosciences, Amity University, Noida 201301, India;
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36
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Zhao H, Li S, Wang Y. A case report of atypical sleep in an ischemic stroke patient with psychiatric symptoms caused by olanzapine. Front Neurol 2023; 14:1266204. [PMID: 38178881 PMCID: PMC10765984 DOI: 10.3389/fneur.2023.1266204] [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: 07/24/2023] [Accepted: 12/04/2023] [Indexed: 01/06/2024] Open
Abstract
Antipsychotics, tricyclic and 5-hydroxytryptamine reuptake inhibitors (SSRI) and 5-hydroxytryptamine and norepinephrine reuptake inhibitor (SNRI) antidepressants, and monoamine oxidase inhibitors can produce dream-rendering behaviors and/or dystonic deregulation during REM sleep. Acute episodes are also seen with withdrawal from alcohol or sedative-hypnotics, and the use of tricyclic and SSRI antidepressants. In this article, we present a case of olanzapine treatment of a patient with cerebrovascular disease with psychobehavioural symptoms. The patient was an elderly patient who developed psychobehavioural symptoms after a sudden cerebral infarction. Initially, his symptoms improved when he took olanzapine (5 mg orally once/night). However, the patient subsequently developed symptoms of hypersomnia when he continued to take olanzapine, and the symptoms of hypersomnia gradually worsened as the dose of olanzapine was gradually increased. Benzodiazepines are often used to treat anomalous sleep, and clonazepam is one of the commonly prescribed drugs. In this case, the patient's abnormal sleep behavior was alleviated after treatment with clonazepam. As an atypical antipsychotic drug, olanzapine has been reported to cause abnormal sleep behavior during clinical use, and only one case has been reported in China. Clinicians should be aware that heteromorphic sleep can occur in patients treated with olanzapine.
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Affiliation(s)
- Huixin Zhao
- Department of Pharmacy, North China University of Science and Technology Affiliated Hospital, Tangshan, China
| | - Shuang Li
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Yanmei Wang
- Medical Security Center, The PLA 982 Hospital, Tangshan, China
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37
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Lee WJ, Baek SH, Im HJ, Lee SK, Yoon JE, Thomas RJ, Wing YK, Shin C, Yun CH. REM Sleep Behavior Disorder and Its Possible Prodromes in General Population: Prevalence, Polysomnography Findings, and Associated Factors. Neurology 2023; 101:e2364-e2375. [PMID: 37816644 PMCID: PMC10752649 DOI: 10.1212/wnl.0000000000207947] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 09/01/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND AND OBJECTIVES To evaluate the prevalence of REM sleep behavior disorder (RBD) and its possible prodromal conditions, isolated dream enactment behavior (DEB) and isolated REM without atonia (RWA), in a general population sample, and the factors associated with diagnosis and symptom frequency. METHODS From a population-based prospective cohort in Korea, 1,075 participants (age 60.1 ± 7.0 years; range 50-80 years; men 53.7%) completed the RBD screening questionnaire (RBDSQ), a structured telephone interview for the presence and characteristics of repeated DEB, and home polysomnography (PSG). RWA was measured on submentalis EMG, including 30-second epoch-based tonic and phasic activity as well as 3-second mini-epoch-based phasic and any EMG activities. Based on the presence of repeated DEB and any EMG activity of ≥22.3%, we categorized the participants into no RBD, isolated RWA, isolated DEB, and RBD groups. RESULTS RBD was diagnosed in 20 participants, isolated RWA in 133 participants, and isolated DEB in 48 participants. Sex and DEB frequency-adjusted prevalence of RBD was 1.4% (95% CI 1.0%-1.8%), isolated RWA was 12.5% (95% CI 11.3%-13.6%), and isolated DEB was 3.4% (95% CI 2.7%-4.1%). Total RBDSQ score was higher in the RBD and isolated DEB groups than in the isolated RWA and no RBD group (median 5 [interquartile range (IQR) 4-6] for RBD, median 4 [IQR 3-6] for isolated DEB, median 2 [IQR 1-3] for isolated RWA, and median 2 [IQR 1-4] for no RBD groups, p < 0.001). RBDSQ score of ≥5 had good specificity but poor positive predictive value (PPV) for RBD (specificity 84.1% and PPV 7.7%) and its prodromal conditions (specificity 85.2% and PPV 29.1%). Among the RWA parameters, any EMG activity showed the best association with the RBD and its possible prodromes (area under the curve, 0.917). Three-second mini-epoch-based EMG activity and phasic EMG activity were correlated with the frequency of DEB (standardized Jonckheere-Terpstra statistic [std. J-T static] for trend = 0.488, p < 0.001, and std. J-T static = 3.265, p = 0.001, respectively). DISCUSSION This study provides prevalence estimates of RBD and its possible prodromal conditions based on a structured telephone interview and RWA measurement on PSG from the general population.
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Affiliation(s)
- Woo-Jin Lee
- From the Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University Bundang Hospital, Seongnam; Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University College of Medicine; Department of Neurology (S.-H.B.), Cheongju Saint Mary's Hospital; Department of Neurology (H.-J.I.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Institute of Human Genomic Study (S.-K.L., C.S.), College of Medicine, Korea University, Seoul; Department of Neurology (J.-E.Y.), Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, South Korea; Division of Pulmonary, Critical Care and Sleep Medicine (R.J.T.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Li Chiu Kong Family Sleep Assessment Unit (Y.K.W.), Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, China; and Biomedical Research Center (C.S.), Korea University Ansan Hospital, South Korea
| | - Shin-Hye Baek
- From the Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University Bundang Hospital, Seongnam; Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University College of Medicine; Department of Neurology (S.-H.B.), Cheongju Saint Mary's Hospital; Department of Neurology (H.-J.I.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Institute of Human Genomic Study (S.-K.L., C.S.), College of Medicine, Korea University, Seoul; Department of Neurology (J.-E.Y.), Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, South Korea; Division of Pulmonary, Critical Care and Sleep Medicine (R.J.T.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Li Chiu Kong Family Sleep Assessment Unit (Y.K.W.), Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, China; and Biomedical Research Center (C.S.), Korea University Ansan Hospital, South Korea
| | - Hee-Jin Im
- From the Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University Bundang Hospital, Seongnam; Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University College of Medicine; Department of Neurology (S.-H.B.), Cheongju Saint Mary's Hospital; Department of Neurology (H.-J.I.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Institute of Human Genomic Study (S.-K.L., C.S.), College of Medicine, Korea University, Seoul; Department of Neurology (J.-E.Y.), Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, South Korea; Division of Pulmonary, Critical Care and Sleep Medicine (R.J.T.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Li Chiu Kong Family Sleep Assessment Unit (Y.K.W.), Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, China; and Biomedical Research Center (C.S.), Korea University Ansan Hospital, South Korea
| | - Seung-Ku Lee
- From the Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University Bundang Hospital, Seongnam; Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University College of Medicine; Department of Neurology (S.-H.B.), Cheongju Saint Mary's Hospital; Department of Neurology (H.-J.I.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Institute of Human Genomic Study (S.-K.L., C.S.), College of Medicine, Korea University, Seoul; Department of Neurology (J.-E.Y.), Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, South Korea; Division of Pulmonary, Critical Care and Sleep Medicine (R.J.T.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Li Chiu Kong Family Sleep Assessment Unit (Y.K.W.), Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, China; and Biomedical Research Center (C.S.), Korea University Ansan Hospital, South Korea
| | - Jee-Eun Yoon
- From the Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University Bundang Hospital, Seongnam; Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University College of Medicine; Department of Neurology (S.-H.B.), Cheongju Saint Mary's Hospital; Department of Neurology (H.-J.I.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Institute of Human Genomic Study (S.-K.L., C.S.), College of Medicine, Korea University, Seoul; Department of Neurology (J.-E.Y.), Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, South Korea; Division of Pulmonary, Critical Care and Sleep Medicine (R.J.T.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Li Chiu Kong Family Sleep Assessment Unit (Y.K.W.), Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, China; and Biomedical Research Center (C.S.), Korea University Ansan Hospital, South Korea
| | - Robert J Thomas
- From the Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University Bundang Hospital, Seongnam; Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University College of Medicine; Department of Neurology (S.-H.B.), Cheongju Saint Mary's Hospital; Department of Neurology (H.-J.I.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Institute of Human Genomic Study (S.-K.L., C.S.), College of Medicine, Korea University, Seoul; Department of Neurology (J.-E.Y.), Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, South Korea; Division of Pulmonary, Critical Care and Sleep Medicine (R.J.T.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Li Chiu Kong Family Sleep Assessment Unit (Y.K.W.), Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, China; and Biomedical Research Center (C.S.), Korea University Ansan Hospital, South Korea
| | - Yun-Kwok Wing
- From the Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University Bundang Hospital, Seongnam; Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University College of Medicine; Department of Neurology (S.-H.B.), Cheongju Saint Mary's Hospital; Department of Neurology (H.-J.I.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Institute of Human Genomic Study (S.-K.L., C.S.), College of Medicine, Korea University, Seoul; Department of Neurology (J.-E.Y.), Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, South Korea; Division of Pulmonary, Critical Care and Sleep Medicine (R.J.T.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Li Chiu Kong Family Sleep Assessment Unit (Y.K.W.), Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, China; and Biomedical Research Center (C.S.), Korea University Ansan Hospital, South Korea
| | - Chol Shin
- From the Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University Bundang Hospital, Seongnam; Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University College of Medicine; Department of Neurology (S.-H.B.), Cheongju Saint Mary's Hospital; Department of Neurology (H.-J.I.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Institute of Human Genomic Study (S.-K.L., C.S.), College of Medicine, Korea University, Seoul; Department of Neurology (J.-E.Y.), Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, South Korea; Division of Pulmonary, Critical Care and Sleep Medicine (R.J.T.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Li Chiu Kong Family Sleep Assessment Unit (Y.K.W.), Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, China; and Biomedical Research Center (C.S.), Korea University Ansan Hospital, South Korea.
| | - Chang-Ho Yun
- From the Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University Bundang Hospital, Seongnam; Department of Neurology (W.-J.L., C.-H.Y.), Seoul National University College of Medicine; Department of Neurology (S.-H.B.), Cheongju Saint Mary's Hospital; Department of Neurology (H.-J.I.), Hallym University Dongtan Sacred Heart Hospital, Hwaseong; Institute of Human Genomic Study (S.-K.L., C.S.), College of Medicine, Korea University, Seoul; Department of Neurology (J.-E.Y.), Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, South Korea; Division of Pulmonary, Critical Care and Sleep Medicine (R.J.T.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Li Chiu Kong Family Sleep Assessment Unit (Y.K.W.), Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, China; and Biomedical Research Center (C.S.), Korea University Ansan Hospital, South Korea.
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Zhang X, Liang D, Ma L, Huang Y, Wan Y, Zhou K, Xu L, Wu W, Xue R, Zhang N. Cognitive and motor profiles as prodromal markers in predicting phenoconversion and phenotype in isolated REM sleep behavior disorder. Sleep Med 2023; 112:262-272. [PMID: 37925853 DOI: 10.1016/j.sleep.2023.10.027] [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: 07/09/2023] [Revised: 10/03/2023] [Accepted: 10/25/2023] [Indexed: 11/07/2023]
Abstract
OBJECTIVE To determine the clinical markers based on cognitive and motor profiles in predicting phenoconverion and phenotype in isolated rapid eye movement sleep behavior disorder (iRBD). METHODS 45 iRBD patients and 25 healthy controls were included in the follow-up study. All participates received comprehensive evaluations of cognitive, motor and autonomic function at baseline. Positive phenoconversion were identified according to standard diagnostic criteria during follow-up. RESULTS 21 iRBD patients displayed phenoconversion in a mean follow-up of 2.9 ± 1.6 years, with 14 presenting motor phenotype and 7 cognitive phenotype. In iRBD, visuospatial, memory, attention-executive function, information processing speed, and motor function predicted phenoconversion, with the combination of Trail Making Test (TMT) and Alternate-tap Test (ATT) performing best (sensitivity = 95.0 %, specificity = 75.0 %); attention-executive function, information processing speed, and motor function predicted motor phenotype conversion, with the combination of TMT and ATT performing best (sensitivity = 100 %, specificity = 66.7 %); visuospatial, memory, and attention-executive function predicted cognitive phenotype conversion, with TMT performing best (sensitivity = 83.3 %, specificity = 91.7 %). Furthermore, individuals with lower z-scores of TMT, Symbol Digit Modalities Test, and ATT than the established cutoff values in iRBD exhibited a significantly higher risk for phenoconversion at follow-up (HR = 2.98, 9.53, 11.68; respectively). CONCLUSIONS In iRBD, the attention-executive and motor function served as optimum combined markers in predicting phenoconversion and motor phenotype, whereas the attention-executive function performed best in predicting cognitive phenotype. Poor attention-executive function, information processing speed and motor function in iRBD independently increased the risk of phenoconversion.
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Affiliation(s)
- Xuan Zhang
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China
| | - Danqi Liang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Ma
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yaqin Huang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yahui Wan
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China
| | - Kaili Zhou
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China
| | - Lin Xu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Wei Wu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Rong Xue
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China; Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China.
| | - Nan Zhang
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China; Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China.
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Feng S, Ge J, Zhao S, Xu Q, Lin H, Li X, Wu J, Guan Y, Zhang T, Zhao S, Zuo C, Shan B, Wu P, Nie B, Yu H, Shi K. Dopaminergic damage pattern predicts phenoconversion time in isolated rapid eye movement sleep behavior disorder. Eur J Nucl Med Mol Imaging 2023; 51:159-167. [PMID: 37668706 DOI: 10.1007/s00259-023-06402-1] [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: 03/26/2023] [Accepted: 08/15/2023] [Indexed: 09/06/2023]
Abstract
PURPOSE The exact phenoconversion time from isolated rapid eye movement (REM) sleep behavior disorder (iRBD) to synucleinopathies remains unpredictable. This study investigated whole-brain dopaminergic damage pattern (DDP) with disease progression and predicted phenoconversion time in individual patients. METHODS Age-matched 33 iRBD patients and 20 healthy controls with 11C-CFT-PET scans were enrolled. The patients were followed up 2-10 (6.7 ± 2.0) years. The phenoconversion year was defined as the base year, and every 2 years before conversion was defined as a stage. Support vector machine with leave-one-out cross-validation strategy was used to perform prediction. RESULTS Dopaminergic degeneration of iRBD was found to occur about 6 years before conversion and then abnormal brain regions gradually expanded. Using DDP, area under curve (AUC) was 0.879 (90% sensitivity and 88.3% specificity) for predicting conversion in 0-2 years, 0.807 (72.7% sensitivity and 83.3% specificity) in 2-4 years, 0.940 (100% sensitivity and 84.6% specificity) in 4-6 years, and 0.879 (100% sensitivity and 80.7% specificity) over 6 years. In individual patients, predicted stages correlated with whole-brain dopaminergic levels (r = - 0.740, p < 0.001). CONCLUSION Our findings suggest that DDP could accurately predict phenoconversion time of individual iRBD patients, which may help to screen patients for early intervention.
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Affiliation(s)
- Shuang Feng
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- School of Physics, Zhengzhou University, Zhengzhou, China
| | - Jingjie Ge
- Department of Nuclear Medicine/PET Centre, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China
| | - Shujun Zhao
- School of Physics, Zhengzhou University, Zhengzhou, China
| | - Qian Xu
- Department of Nuclear Medicine/PET Centre, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China
| | - Huamei Lin
- Department of Nuclear Medicine/PET Centre, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China
| | - Xiuming Li
- Department of Nuclear Medicine/PET Centre, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China
| | - Jianjun Wu
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yihui Guan
- Department of Nuclear Medicine/PET Centre, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China
| | - Tianhao Zhang
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, 19B Yuquan Road, Shijingshan District, Beijing, China
| | - Shilun Zhao
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, 19B Yuquan Road, Shijingshan District, Beijing, China
| | - Chuantao Zuo
- Department of Nuclear Medicine/PET Centre, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China
| | - Baoci Shan
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China.
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, 19B Yuquan Road, Shijingshan District, Beijing, China.
| | - Ping Wu
- Department of Nuclear Medicine/PET Centre, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China.
| | - Binbin Nie
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China.
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, 19B Yuquan Road, Shijingshan District, Beijing, China.
| | - Huan Yu
- National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Jing'an District, Shanghai, China.
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Kuangyu Shi
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Computer Aided Medical Procedures, School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
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Zheng Y, Cai H, Wang X, Zhang N, Lv H, Yu Z, Feng T. Erythrocytic α-Synuclein Species as Biomarkers for Isolated Rapid Eye Movement Sleep Behavior Disorder. Mov Disord 2023; 38:2315-2317. [PMID: 37594009 DOI: 10.1002/mds.29583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 07/18/2023] [Accepted: 08/02/2023] [Indexed: 08/19/2023] Open
Affiliation(s)
- Yuanchu Zheng
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Huihui Cai
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xuemei Wang
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ning Zhang
- Department of Neuropsychiatry and Behavioral Neurology and Clinical Psychology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hong Lv
- Clinical Diagnosis Department of Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhenwei Yu
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Tao Feng
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
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Wang J, Lam SP, Huang B, Liu Y, Zhang J, Yu MWM, Tsang JCC, Zhou L, Chau SWH, Chan NY, Chan JWY, Schenck CH, Li SX, Mok VCT, Ma KKY, Chan AYY, Wing YK. Familial α-synucleinopathy spectrum features in patients with psychiatric REM sleep behaviour disorder. J Neurol Neurosurg Psychiatry 2023; 94:893-903. [PMID: 37399287 DOI: 10.1136/jnnp-2022-330922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 05/28/2023] [Indexed: 07/05/2023]
Abstract
BACKGROUND Rapid eye movement (REM) sleep behaviour disorder (RBD) is one of the earliest and most specific prodromes of the α-synucleinopathies including Parkinson's disease (PD). It remains uncertain whether RBD occurring in the context of psychiatric disorders (psy-RBD), although very common, is merely a benign epiphenomenon of antidepressant treatment, or whether it harbours an underlying α-synucleinopathy. We hypothesised that patients with psy-RBD demonstrate a familial predisposition to an α-synucleinopathy. METHODS In this case-control-family study, a combination of family history and family study method was used to measure the α-synucleinopathy spectrum features, which included RBD, neurodegenerative prodromal markers and clinical diagnoses of neurodegenerative disorders. We compared the risk of α-synucleinopathy spectrum features in the first-degree relatives (FDRs) of patients with psy-RBD, psychiatric controls and healthy controls. RESULTS There was an increase of α-synucleinopathy spectrum features in the psy-RBD-FDRs, including possible and provisional RBD (adjusted HR (aHR)=2.02 and 6.05, respectively), definite RBD (adjusted OR=11.53) and REM-related phasic electromyographic activities, prodromal markers including depression (aHR=4.74) and probable subtle parkinsonism, risk of prodromal PD and clinical diagnosis of PD/dementia (aHR=5.50), as compared with healthy-control-FDRs. When compared with psychiatric-control-FDRs, psy-RBD-FDRs consistently presented with a higher risk for the diagnosis and electromyographic features of RBD, diagnosis of PD/dementia (aHR=3.91) and risk of prodromal PD. In contrast, psychiatric controls only presented with a familial aggregation of depression. CONCLUSION Patients with psy-RBD are familially predisposed to α-synucleinopathy. The occurrence of RBD with major depression may signify a subtype of major depressive disorders with underlying α-synucleinopathy neurodegeneration. TRIAL REGISTRATION NUMBER NCT03595475.
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Affiliation(s)
- Jing Wang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Siu Ping Lam
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Bei Huang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yaping Liu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jihui Zhang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Mandy W M Yu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jessie C C Tsang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Li Zhou
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Steven W H Chau
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ngan Yin Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Joey W Y Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Carlos H Schenck
- Minnesota Regional Sleep Disorders Center, and Departments of Psychiatry, Hennepin County Medical Center and University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Shirley X Li
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Vincent C T Mok
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Karen Ka Yan Ma
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Anne Yin Yan Chan
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
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Yoshizawa M, Tamura Y, Yasuda-Ohata A, Yoshihara S, Takasaki H, Hashioka S. Video polysomnographic analysis of elevated EMG activity and rapid eye movements before abnormal behaviors in REM sleep behavior disorder. Sleep Biol Rhythms 2023; 21:455-460. [PMID: 38476183 PMCID: PMC10899964 DOI: 10.1007/s41105-023-00472-2] [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: 02/26/2023] [Accepted: 06/12/2023] [Indexed: 03/14/2024]
Abstract
The pathogenesis of rapid eye movement (REM) sleep behavior disorder (RBD) is unclear. According to the cortical hypothesis, severe RBD episode (RBDE) occurs when spinal motoneurons are less inhibited and cortical and limbic systems are more active. We made this study to prove the hypothesis for the development of RBDE using video-polysomnography (VPSG). VPSG records of 35 patients with RBD were analyzed. According to severity, RBDEs were classified into three motor events (MEs): ME 1; small movements or jerks, ME 2; proximal movements including violent behavior, and ME 3; axial movements including bed falls. For each ME, we measured the number of MEs preceded or not preceded by both REM sleep without atonia (RWA) and REMs during the 10-s-period immediately before ME onset. In severe RBDE (ME 3), the number of MEs preceded by both RWA and REMs was significantly higher than that of MEs not preceded by both (0.8 vs. 0.2, P = 0.033). This was not the case for mild RBDE (ME 1) and moderate RBDE (ME 2). Our results suggest that both RWA and REMs are associated with the development of severe RBDE.
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Affiliation(s)
- Mondo Yoshizawa
- Department of Psychiatry, School of Medicine, Asahikawa Medical University, Midorigaoka Higashi 2-1-1-1, Asahikawa, Hokkaido 078-8510 Japan
| | - Yoshiyuki Tamura
- Department of Psychiatry, School of Medicine, Asahikawa Medical University, Midorigaoka Higashi 2-1-1-1, Asahikawa, Hokkaido 078-8510 Japan
| | - Asami Yasuda-Ohata
- Department of Psychiatry, School of Medicine, Asahikawa Medical University, Midorigaoka Higashi 2-1-1-1, Asahikawa, Hokkaido 078-8510 Japan
| | - Shinsuke Yoshihara
- Department of Psychiatry, School of Medicine, Asahikawa Medical University, Midorigaoka Higashi 2-1-1-1, Asahikawa, Hokkaido 078-8510 Japan
| | - Hideki Takasaki
- Department of Psychiatry, School of Medicine, Asahikawa Medical University, Midorigaoka Higashi 2-1-1-1, Asahikawa, Hokkaido 078-8510 Japan
| | - Sadayuki Hashioka
- Department of Psychiatry, School of Medicine, Asahikawa Medical University, Midorigaoka Higashi 2-1-1-1, Asahikawa, Hokkaido 078-8510 Japan
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Dodet P. REM behavior disorder: When Parkinson's disease meets Morpheus. Rev Neurol (Paris) 2023; 179:667-674. [PMID: 37598085 DOI: 10.1016/j.neurol.2023.08.005] [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: 07/27/2023] [Accepted: 08/03/2023] [Indexed: 08/21/2023]
Abstract
Rapid eye movement (REM) sleep behavior disorder (RBD) is a parasomnia characterized by the absence of normal muscle atonia during REM sleep, resulting in excessive motor activity while dreaming. RBD can be classified as isolated which is the strongest clinical marker of prodromal synucleinopathy, or secondary, associated with other neurological diseases, mainly Parkinson's disease (PD) and dementia with Lewy bodies. The diagnosis of RBD must be systematically documented by a video polysomnography in the case of isolated RBD. PD associated with RBD may represent a distinct phenotype compared to PD without RBD, indicating a more severe and widespread synucleinopathy. Clinically, it is associated with poorer motor and cognitive performance, more severe non-motor symptoms, and faster disease progression. Imaging studies have revealed broader brain damage and significant alterations in cerebral metabolism and neurotransmission in PD patients with RBD. The management of RBD involves safety precautions and pharmacotherapy. Safety measures aim to minimize the risk of injury during RBD episodes and include creating a safe sleeping environment and separating the patient from their bed partner if necessary. Pharmacotherapy options include clonazepam and melatonin. Clonazepam must be cautiously prescribed in older patients due to potential side effects.
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Affiliation(s)
- P Dodet
- Service des Pathologies du Sommeil, Centre de Référence National des Narcolepsies et Hypersomnies rares, Assistance publique-Hôpitaux de Paris-Sorbonne (AP-HP-Sorbonne), Hôpital la Pitié-Salpêtrière, Paris, France; Paris Brain Institute (ICM), Sorbonne University, Inserm U1227, CNRS 7225, Paris, France.
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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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Alushaj E, Hemachandra D, Kuurstra A, Menon RS, Ganjavi H, Sharma M, Kashgari A, Barr J, Reisman W, Khan AR, MacDonald PA. Subregional analysis of striatum iron in Parkinson's disease and rapid eye movement sleep behaviour disorder. Neuroimage Clin 2023; 40:103519. [PMID: 37797434 PMCID: PMC10568416 DOI: 10.1016/j.nicl.2023.103519] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 09/24/2023] [Accepted: 09/26/2023] [Indexed: 10/07/2023]
Abstract
The loss of dopamine in the striatum underlies motor symptoms of Parkinson's disease (PD). Rapid eye movement sleep behaviour disorder (RBD) is considered prodromal PD and has shown similar neural changes in the striatum. Alterations in brain iron suggest neurodegeneration; however, the literature on striatal iron has been inconsistent in PD and scant in RBD. Toward clarifying pathophysiological changes in PD and RBD, and uncovering possible biomarkers, we imaged 26 early-stage PD patients, 16 RBD patients, and 39 age-matched healthy controls with 3 T MRI. We compared mean susceptibility using quantitative susceptibility mapping (QSM) in the standard striatum (caudate, putamen, and nucleus accumbens) and tractography-parcellated striatum. Diffusion MRI permitted parcellation of the striatum into seven subregions based on the cortical areas of maximal connectivity from the Tziortzi atlas. No significant differences in mean susceptibility were found in the standard striatum anatomy. For the parcellated striatum, the caudal motor subregion, the most affected region in PD, showed lower iron levels compared to healthy controls. Receiver operating characteristic curves using mean susceptibility in the caudal motor striatum showed a good diagnostic accuracy of 0.80 when classifying early-stage PD from healthy controls. This study highlights that tractography-based parcellation of the striatum could enhance sensitivity to changes in iron levels, which have not been consistent in the PD literature. The decreased caudal motor striatum iron was sufficiently sensitive to PD, but not RBD. QSM in the striatum could contribute to development of a multivariate or multimodal biomarker of early-stage PD, but further work in larger datasets is needed to confirm its utility in prodromal groups.
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Affiliation(s)
- Erind Alushaj
- Department of Neuroscience, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; Western Institute for Neuroscience, Western University, London, Ontario, Canada
| | - Dimuthu Hemachandra
- Robarts Research Institute, Western University, London, Ontario, Canada; School of Biomedical Engineering, Western University, London, Ontario, Canada
| | - Alan Kuurstra
- Robarts Research Institute, Western University, London, Ontario, Canada; Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Ravi S Menon
- Robarts Research Institute, Western University, London, Ontario, Canada; Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Hooman Ganjavi
- Department of Psychiatry, Western University, London, Ontario, Canada
| | - Manas Sharma
- Department of Radiology, Western University, London, Ontario, Canada; Department of Clinical Neurological Sciences, Western University, London, Ontario, Canada
| | - Alia Kashgari
- Department of Medicine, Respirology Division, Western University, London, Ontario, Canada
| | - Jennifer Barr
- Department of Psychiatry, Western University, London, Ontario, Canada
| | - William Reisman
- Department of Medicine, Respirology Division, Western University, London, Ontario, Canada
| | - Ali R Khan
- Robarts Research Institute, Western University, London, Ontario, Canada; Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Penny A MacDonald
- Western Institute for Neuroscience, Western University, London, Ontario, Canada; Department of Clinical Neurological Sciences, Western University, London, Ontario, Canada.
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Toban G, Poudel K, Hong D. REM Sleep Stage Identification with Raw Single-Channel EEG. Bioengineering (Basel) 2023; 10:1074. [PMID: 37760176 PMCID: PMC10525287 DOI: 10.3390/bioengineering10091074] [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: 07/31/2023] [Revised: 08/21/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
This paper focused on creating an interpretable model for automatic rapid eye movement (REM) and non-REM sleep stage scoring for a single-channel electroencephalogram (EEG). Many methods attempt to extract meaningful information to provide to a learning algorithm. This method attempts to let the model extract the meaningful interpretable information by providing a smaller number of time-invariant signal filters for five frequency ranges using five CNN algorithms. A bi-directional GRU algorithm was applied to the output to incorporate time transition information. Training and tests were run on the well-known sleep-EDF-expanded database. The best results produced 97% accuracy, 93% precision, and 89% recall.
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Affiliation(s)
- Gabriel Toban
- Computational & Data Science Ph.D. Program, Middle Tennessee State University, Murfreesboro, TN 37132, USA; (K.P.); (D.H.)
| | - Khem Poudel
- Computational & Data Science Ph.D. Program, Middle Tennessee State University, Murfreesboro, TN 37132, USA; (K.P.); (D.H.)
- Department of Computer Science, Middle Tennessee State University, Murfreesboro, TN 37132, USA
| | - Don Hong
- Computational & Data Science Ph.D. Program, Middle Tennessee State University, Murfreesboro, TN 37132, USA; (K.P.); (D.H.)
- Department of Mathematical Sciences, Middle Tennessee State University, Murfreesboro, TN 37132, USA
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Memon AA, Catiul C, Irwin Z, Pilkington J, Memon RA, Joop A, Wood KH, Cutter G, Miocinovic S, Amara AW. Quantitative sleep electroencephalogram and cognitive performance in Parkinson's disease with and without rapid eye movement sleep behavior disorder. Front Neurol 2023; 14:1223974. [PMID: 37745647 PMCID: PMC10512724 DOI: 10.3389/fneur.2023.1223974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 08/18/2023] [Indexed: 09/26/2023] Open
Abstract
Introduction Parkinson's disease (PD) patients with REM sleep behavior disorder (RBD) are at greater risk for cognitive decline and RBD has been associated with alterations in sleep-related EEG oscillations. This study evaluates differences in sleep quantitative EEG (qEEG) and cognition in PD participants with (PD-RBD) and without RBD (PD-no-RBD). Methods In this cross-sectional study, polysomnography (PSG)-derived qEEG and a comprehensive level II neuropsychological assessment were compared between PD-RBD (n = 21) and PD-no-RBD (n = 31). Following artifact rejection, qEEG analysis was performed in the frontal and central leads. Measures included Scalp-slow wave (SW) density, spindle density, morphological properties of SW and sleep spindles, SW-spindle phase-amplitude coupling, and spectral power analysis in NREM and REM. The neurocognitive battery had at least two tests per domain, covering five cognitive domains as recommended by the Movement Disorders Society Task Force for PD-MCI diagnosis. Differences in qEEG features and cognitive performance were compared between the two groups. Stepwise linear regression was performed to evaluate predictors of cognitive performance. Multiple comparisons were corrected using the Benjamini-Hochberg method. Results Spindle density and SW-spindle co-occurrence percent were lower in participants with PD-RBD compared to PD-no-RBD. The PD-RBD group also demonstrated higher theta spectral power during REM. Sleep spindles and years of education, but not RBD, were predictors of cognitive performance. Conclusion PD participants with RBD have alterations in sleep-related qEEG compared to PD participants without RBD. Although PD-RBD participants had worse cognitive performance compared to PD-no-RBD, regression models suggest that lower sleep spindle density, rather than presence of RBD, predicts worse comprehensive cognitive score. Future studies should include longitudinal evaluation to determine whether sleep-related qEEG alterations are associated with more rapid cognitive decline in PD-RBD.
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Affiliation(s)
- Adeel A. Memon
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
- Department of Neurology, West Virginia University, Morgantown, WV, United States
| | - Corina Catiul
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Zachary Irwin
- Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Jennifer Pilkington
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Raima A. Memon
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Allen Joop
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Kimberly H. Wood
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
- Department of Psychology, Samford University, Birmingham, AL, United States
| | - Gary Cutter
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, United States
| | | | - Amy W. Amara
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
- Department of Neurology, University of Colorado, Anschutz Medical Campus, Aurora, CO, United States
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Carli G, Meles SK, Janzen A, Sittig E, Kogan RV, Perani D, Oertel WH, Leenders KL. Occipital hypometabolism is a risk factor for conversion to Parkinson's disease in isolated REM sleep behaviour disorder. Eur J Nucl Med Mol Imaging 2023; 50:3290-3301. [PMID: 37310428 PMCID: PMC10542098 DOI: 10.1007/s00259-023-06289-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 05/30/2023] [Indexed: 06/14/2023]
Abstract
PURPOSE Isolated REM sleep behaviour disorder (iRBD) patients are at high risk of developing clinical syndromes of the α-synuclein spectrum. Progression markers are needed to determine the neurodegenerative changes and to predict their conversion. Brain imaging with 18F-FDG PET in iRBD is promising, but longitudinal studies are scarce. We investigated the regional brain changes in iRBD over time, related to phenoconversion. METHODS Twenty iRBD patients underwent two consecutive 18F-FDG PET brain scans and clinical assessments (3.7 ± 0.6 years apart). Seventeen patients also underwent 123I-MIBG and 123I-FP-CIT SPECT scans at baseline. Four subjects phenoconverted to Parkinson's disease (PD) during follow-up. 18F-FDG PET scans were compared to controls with a voxel-wise single-subject procedure. The relationship between regional brain changes in metabolism and PD-related pattern scores (PDRP) was investigated. RESULTS Individual hypometabolism t-maps revealed three scenarios: (1) normal 18F-FDG PET scans at baseline and follow-up (N = 10); (2) normal scans at baseline but occipital or occipito-parietal hypometabolism at follow-up (N = 4); (3) occipital hypometabolism at baseline and follow-up (N = 6). All patients in the last group had pathological 123I-MIBG and 123I-FP-CIT SPECT. iRBD converters (N = 4) showed occipital hypometabolism at baseline (third scenario). At the group level, hypometabolism in the frontal and occipito-parietal regions and hypermetabolism in the cerebellum and limbic regions were progressive over time. PDRP z-scores increased over time (0.54 ± 0.36 per year). PDRP expression was driven by occipital hypometabolism and cerebellar hypermetabolism. CONCLUSIONS Our results suggest that occipital hypometabolism at baseline in iRBD implies a short-term conversion to PD. This might help in stratification strategies for disease-modifying trials.
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Affiliation(s)
- Giulia Carli
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
| | - Sanne K Meles
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Annette Janzen
- Department of Neurology, Philipps-Universität Marburg, Marburg, Germany
| | - Elisabeth Sittig
- Department of Neurology, Philipps-Universität Marburg, Marburg, Germany
| | - Rosalie V Kogan
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Internal Medicine, Sierra View Medical Center, Porterville, CA, USA
| | - Daniela Perani
- School of Psychology, Vita-Salute San Raffaele University, Milan, Italy
- In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Wolfgang H Oertel
- Department of Neurology, Philipps-Universität Marburg, Marburg, Germany
- Institute for Neurogenomics, Helmholtz Center for Health and Environment, Munich, Germany
| | - Klaus L Leenders
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
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Tall P, Qamar MA, Rosenzweig I, Raeder V, Sauerbier A, Heidemarie Z, Falup-Pecurariu C, Chaudhuri KR. The Park Sleep subtype in Parkinson's disease: from concept to clinic. Expert Opin Pharmacother 2023; 24:1725-1736. [PMID: 37561080 DOI: 10.1080/14656566.2023.2242786] [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: 04/10/2023] [Accepted: 07/27/2023] [Indexed: 08/11/2023]
Abstract
INTRODUCTION The heterogeneity of Parkinson's disease (PD) is evident from descriptions of non-motor (NMS) subtypes and Park Sleep, originally identified by Sauerbier et al. 2016, is one such clinical subtype associated with the predominant clinical presentation of sleep dysfunctions including excessive daytime sleepiness (EDS), along with insomnia. AREAS COVERED A literature search was conducted using the PubMed, Medline, Embase, and Web of Science databases, accessed between 1 February 2023 and 28 March 2023. In this review, we describe the clinical subtype of Park Sleep and related 'tests' ranging from polysomnography to investigational neuromelanin MRI brain scans and some tissue-based biological markers. EXPERT OPINION Cholinergic, noradrenergic, and serotonergic systems are dominantly affected in PD. Park Sleep subtype is hypothesized to be associated primarily with serotonergic deficit, clinically manifesting as somnolence and narcoleptic events (sleep attacks), with or without rapid eye movement behavior disorder (RBD). In clinic, Park Sleep recognition may drive lifestyle changes (e.g. driving) along with therapy adjustments as Park Sleep patients may be sensitive to dopamine D3 active agonists, such as ropinirole and pramipexole. Specific dashboard scores based personalized management options need to be implemented and include pharmacological, non-pharmacological, and lifestyle linked advice.
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Affiliation(s)
- Phoebe Tall
- Department of Neuroscience, Institute of Psychiatry, Psychology, and Neuroscience (IoPpn), King's College London, London, UK
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
| | - Mubasher A Qamar
- Department of Neuroscience, Institute of Psychiatry, Psychology, and Neuroscience (IoPpn), King's College London, London, UK
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPpn), King's College London, London, UK
- Sleep Disorder Centre, Nuffield House, Guy's Hospital, London, UK
| | - Vanessa Raeder
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
- Department of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität, Berlin, Germany
| | - Anna Sauerbier
- Department of Neuroscience, Institute of Psychiatry, Psychology, and Neuroscience (IoPpn), King's College London, London, UK
- Department of Neurology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Zach Heidemarie
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Cristian Falup-Pecurariu
- Faculty of Medicine, Transilvania University of Braşov, Brașov, Romania
- Department of Neurology, County Clinic Hospital, Braşov, Romania
| | - Kallol Ray Chaudhuri
- Department of Neuroscience, Institute of Psychiatry, Psychology, and Neuroscience (IoPpn), King's College London, London, UK
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
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50
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Yang A, Li G. Nucleus basalis of Meynert predicts cognitive changes in isolated REM sleep behavior disorder. Sleep Med 2023; 109:11-17. [PMID: 37393717 DOI: 10.1016/j.sleep.2023.06.013] [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: 05/10/2023] [Revised: 06/10/2023] [Accepted: 06/13/2023] [Indexed: 07/04/2023]
Abstract
BACKGROUND Degeneration of the nucleus basalis of Meynert (NBM) has been implicated in cognitive impairments in Parkinson's disease. The role of the NBM volumes in the cognitive function in isolated rapid eye movement (REM) sleep behavior disorder (iRBD) has not been explored. METHOD We investigated changes in NBM volumes and their associations with cognitive deficits in iRBD. Baseline NBM volumes were compared between 29 iRBD patients and 29 healthy controls by using structural MRI data from the Parkinson Progression Marker Initiative database. Partial correlation analyses were used to evaluate cross-sectional relationships between baseline NBM volumes and cognitive performance in iRBD. Linear mixed models were applied to assess between-group differences in longitudinal cognitive changes, and whether baseline NBM volumes could predict longitudinal changes of cognition in iRBD. RESULTS Compared with controls, NBM volumes were significantly reduced in iRBD patients. In patients with iRBD, higher NBM volumes were significantly associated with greater performance in global cognition function. In the longitudinal analyses, iRBD patients showed more severe and rapid decline on tests of global cognition compared to healthy controls. Furthermore, greater baseline NBM volumes were significantly associated with greater follow-up Montreal Cognitive Assessment (MoCA) scores, thus predicting less longitudinal cognitive changes in iRBD. CONCLUSION This study provides important in vivo evidence for an association between the NBM degeneration and cognitive impairments in iRBD.
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Affiliation(s)
- Amei Yang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Guanglu Li
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
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