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Hu Y, Wang Y, Zhang L, Luo M, Wang Y. Neural Network Mechanisms Underlying General Anesthesia: Cortical and Subcortical Nuclei. Neurosci Bull 2024; 40:1995-2011. [PMID: 39168960 PMCID: PMC11625048 DOI: 10.1007/s12264-024-01286-z] [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: 02/22/2024] [Accepted: 06/10/2024] [Indexed: 08/23/2024] Open
Abstract
General anesthesia plays a significant role in modern medicine. However, the precise mechanism of general anesthesia remains unclear, posing a key scientific challenge in anesthesiology. Advances in neuroscience techniques have enabled targeted manipulation of specific neural circuits and the capture of brain-wide neural activity at high resolution. These advances hold promise for elucidating the intricate mechanisms of action of general anesthetics. This review aims to summarize our current understanding of the role of cortical and subcortical nuclei in modulating general anesthesia, providing new evidence of cortico-cortical and thalamocortical networks in relation to anesthesia and consciousness. These insights contribute to a comprehensive understanding of the neural network mechanisms underlying general anesthesia.
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Affiliation(s)
- Yue Hu
- Department of Anesthesiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Yun Wang
- Department of Anesthesiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Lingjing Zhang
- Department of Anesthesiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Mengqiang Luo
- Department of Anesthesiology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
| | - Yingwei Wang
- Department of Anesthesiology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
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Mombelli S, Ricordeau F, Gillard L, Lecca R, Vidal T, Pereira B, Beudin P, Vitello N, Bastuji H, Peter-Derex L, Fantini ML. Psychobehavioural profile in narcolepsy type 1 with and without REM sleep behaviour disorder. J Sleep Res 2024; 33:e13925. [PMID: 37222001 DOI: 10.1111/jsr.13925] [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: 01/12/2023] [Revised: 04/20/2023] [Accepted: 04/24/2023] [Indexed: 05/25/2023]
Abstract
REM sleep behaviour disorder (RBD) is common in narcolepsy type 1 (NT1). Abnormalities in the reward system have been observed in NT1, possibly related to impaired orexin projections towards the mesolimbic reward system, but also in RBD when associated with Parkinson's disease. Our study aimed to explore the psychobehavioural profile of NT1 patients with and without RBD compared with healthy controls (HC). Forty patients with NT1 were compared with 20 sex- and age-matched HC. All patients with NT1 underwent a video-polysomnography including a measure of REM sleep without atonia (RSWA). The following neuropsychobehavioural variables were assessed: apathy, impulsivity, depression, cognition, subjective and objective attention, sensation-seeking, and behavioural addictions. The patient population included 22 patients with NT1-RBD and 18 patients with NT1-noRBD. Compared with the healthy controls, patients with NT1 had higher scores of apathy, impulsivity, and depression; a lower score on global cognition, and poorer self-perceived attention. No differences were found between patients with NT1 with and without RBD in all neuropsychological variables, except for impaired objective attention in patients with NT1-RBD. In patients with NT1, a positive correlation was observed between RSWA and both apathy and impulsivity subscale. Moreover, in patients with NT1-RBD, RSWA was positively correlated with depression. Patients with NT1 showed higher depression, apathy, and impulsivity compared with controls. These measures correlate with the severity of RSWA, suggesting a transdiagnostic association between RBD and abnormalities of the reward system at least for patients with NT1.
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Affiliation(s)
- Samantha Mombelli
- Sleep and EEG, Neurophysiology Unit, Neurology Department, University Hospital and UMR 6602-Université Clermont Auvergne, CNRS, Institute Pascal, Clermont-Ferrand, France
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - François Ricordeau
- Sleep and EEG, Neurophysiology Unit, Neurology Department, University Hospital and UMR 6602-Université Clermont Auvergne, CNRS, Institute Pascal, Clermont-Ferrand, France
- Center for Sleep Medicine and Respiratory Diseases, Lyon University Hospital, Lyon 1 University, Lyon, France
| | - Léa Gillard
- Sleep and EEG, Neurophysiology Unit, Neurology Department, University Hospital and UMR 6602-Université Clermont Auvergne, CNRS, Institute Pascal, Clermont-Ferrand, France
| | - Rosa Lecca
- Sleep and EEG, Neurophysiology Unit, Neurology Department, University Hospital and UMR 6602-Université Clermont Auvergne, CNRS, Institute Pascal, Clermont-Ferrand, France
- Sleep Disorder Research Center, Department of Medical Science and Public Health, University of Cagliari, Cagliari, Italy
| | - Tiphaine Vidal
- CMRR, Neurology Department, University Hospital - Université Clermont Auvergne, CNRS, Institute Pascal, Clermont-Ferrand, France
| | - Bruno Pereira
- Clinical Research and Innovation Direction, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Patricia Beudin
- Sleep and EEG, Neurophysiology Unit, Neurology Department, University Hospital and UMR 6602-Université Clermont Auvergne, CNRS, Institute Pascal, Clermont-Ferrand, France
| | - Nicolas Vitello
- Biostatistics Unit (DRCI) CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Helene Bastuji
- Center for Sleep Medicine and Respiratory Diseases, Lyon University Hospital, Lyon 1 University, Lyon, France
- Lyon Neuroscience Research Center, CNRS UMR 5292, INSERM U1028 - Neuropain Team, Lyon, France
| | - Laure Peter-Derex
- Center for Sleep Medicine and Respiratory Diseases, Lyon University Hospital, Lyon 1 University, Lyon, France
- Lyon Neuroscience Research Center, CNRS UMR 5292, INSERM U1028 - PAM Team, Lyon, France
| | - Maria Livia Fantini
- Sleep and EEG, Neurophysiology Unit, Neurology Department, University Hospital and UMR 6602-Université Clermont Auvergne, CNRS, Institute Pascal, Clermont-Ferrand, France
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The association of subjective sleep characteristics and plasma biomarkers of Alzheimer's disease pathology in older cognitively unimpaired adults with higher amyloid-β burden. J Neurol 2023; 270:3008-3021. [PMID: 36806992 DOI: 10.1007/s00415-023-11626-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 02/10/2023] [Accepted: 02/12/2023] [Indexed: 02/23/2023]
Abstract
We aimed to investigate the association of subjective sleep characteristics and plasma Alzheimer's disease (AD) biomarkers in older cognitively unimpaired adults with higher amyloid-β (Aβ) burden. Unimpaired cognition was determined by education-adjusted performance for the Mini-Mental State Examination and exclusion of dementia and mild cognitive impairment via standardized neuropsychological tests. We used Pittsburgh Sleep Quality Index (PSQI) to assess subjective sleep quality. The participants also underwent examination of plasma AD biomarkers and 18F-florbetapir PET scan. Correlation and multiple linear regression analyses were used to investigate the association between subjective sleep characteristics and AD biomarkers. A total of 335 participants were included and 114 were Aβ-PET positive. Multivariable regression analysis showed sleep duration > 8 h and sleep disturbance were associated with Aβ deposition in total participants. Two multiple linear regression models were applied and the results revealed in participants with Aβ-PET (+), falling asleep at ≥ 22:00 to ≤ 23:00 was associated with higher levels of Aβ42 and Aβ42/40. Other associations with higher Aβ42/40 and standard uptake value ratio contained sleep efficiency value, sleep efficiency ≥ 75%, no/mild daytime dysfunction and PSQI score ≤ 5. Higher p-Tau-181 level was associated with sleep latency > 30 min in Aβ-PET (+) group and moderate/severe sleep disturbance in Aβ-PET (-) group. Our data suggests sleep duration ≤ 8 h and no/mild sleep disturbance may be related to less Aβ burden. In participants with Aβ deposition, falling asleep at 22:00 to 23:00, higher sleep efficiency (at least ≥ 75%), no/mild daytime dysfunction, sleep latency ≤ 30 min, and good sleep quality may help improve AD pathology.
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