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Yang H, Wei X, Huang K, Wu Z, Zhang Q, Wen S, Wang Q, Feng L. Features of attention network impairment in patients with temporal lobe epilepsy: Evidence from eye-tracking and electroencephalogram. Epilepsy Behav 2024; 157:109887. [PMID: 38905916 DOI: 10.1016/j.yebeh.2024.109887] [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: 01/07/2024] [Revised: 06/03/2024] [Accepted: 06/08/2024] [Indexed: 06/23/2024]
Abstract
AIM To explore multiple features of attention impairments in patients with temporal lobe epilepsy (TLE). METHODS A total of 93 patients diagnosed with TLE at Xiangya Hospital during May 2022 and December 2022 and 85 healthy controls were included in this study. Participants were asked to complete neuropsychological scales and attention network test (ANT) with recording of eye-tracking and electroencephalogram. RESULTS All means of evaluation showed impaired attention functions in TLE patients. ANT results showed impaired orienting (p < 0.001) and executive control (p = 0.041) networks. Longer mean first saccade time (p = 0.046) and more total saccadic counts (p = 0.035) were found in eye-tracking results, indicating abnormal alerting and orienting networks. Both alerting, orienting and executive control networks were abnormal, manifesting as decreased amplitudes (N1 & P3, p < 0.001) and extended latency (P3, p = 0.002). The energy of theta, alpha and beta were all sensitive to the changes of alerting and executive control network with time, but only beta power was sensitive to the changes of orienting network. CONCLUSION Our findings are helpful for early identification of patients with TLE combined with attention impairments, which have strong clinical guiding significance for long-term monitoring and intervention.
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Affiliation(s)
- Haojun Yang
- Department of Anesthesiology, Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Xiaojie Wei
- Key Laboratory of Biomedical Spectroscopy of Xi'an, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China; Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China; University of Chinese Academy of Sciences, Beijing 101400, China
| | - Kailing Huang
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Zhongling Wu
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China; Department of Clinical Nursing Teaching and Research Section, Xiangya Hospital, Central South University, Changsha, China
| | - Qiong Zhang
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Shirui Wen
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Quan Wang
- Key Laboratory of Biomedical Spectroscopy of Xi'an, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China; Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China.
| | - Li Feng
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
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He C, Fang Z, Wu H, Li X, Cheng L, Wen Y, Lin J. A flexible and dissolving traditional Chinese medicine microneedle patch for sleep-aid intervention. Heliyon 2024; 10:e33025. [PMID: 38984296 PMCID: PMC11231539 DOI: 10.1016/j.heliyon.2024.e33025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 06/12/2024] [Accepted: 06/12/2024] [Indexed: 07/11/2024] Open
Abstract
About a quarter of the world's population suffers from insomnia, and the number of the insomniacs is gradually increasing. However, the current drug therapy and non-drug therapy sleep-aid methods have certain limitations. In general, the sleep-aid effect of drug therapy is better than that of Non-drug therapy, but western medicine may lead to some side effects and drug abuse. Although the side effects of Chinese Herbal Medicine (CHM) are relatively small, making the herbal decoction is complex and time-consuming. Therefore, exploring a novel sleep-aid method is very significant. In this paper, a flexible and dissolving Traditional Chinese Medicine (TCM) microneedle patch is proposed for sleep-aid intervention. The TCM microneedle patch is a micrometer-scale intrusive object, and the herbal extracts are carried by the patch. The materials, design method, and fabrication process of the microneedle patch have been described in detail. Besides, the mechanical characteristics of the microneedle patch, sleep-aid effect evaluation method, and experimental scheme have been presented. Three microneedle tips with radii of 5 μm, 15 μm, and 22 μm are selected for simulation analysis. Abaqus simulation results indicate that the smaller the radius of the microneedle tip, the smaller the piercing force. Considering that the microneedle should easily penetrate the skin without buckling, that is, the piercing force should be larger than the buckling force, thus 15 μm, instead of 5 μm or 22 μm, is more suitable to be adopted as the radius of the microneedle tip. For the microneedle with the radius of 15 μm, the piercing force is 0.033 N, and the difference between the piercing force and buckling force is 0.036 N. Experimental results demonstrate that the fracture force of the microneedle is about 0.29 N, which is far larger than the piercing force and buckling force. The single-lead EEG signals of the frontal lobe are used to evaluate the sleep-aid effect of the TCM microneedle patch. After sleep-aid intervention on the Anmian and Yintang acupoints using the patches, for most subjects, the ratios of the low-frequency brain wave energies to the high-frequency brain wave energies are increased obviously, indicating that the proposed sleep-aid method is effective.
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Affiliation(s)
- Chunhua He
- School of Computer, Guangdong University of Technology, Guangzhou, 510006, Guangdong, PR China
| | - Zewen Fang
- School of Computer, Guangdong University of Technology, Guangzhou, 510006, Guangdong, PR China
| | - Heng Wu
- School of Automation, Guangdong University of Technology, Guangzhou, 510006, Guangdong, PR China
| | - Xiaoping Li
- School of Computer, Guangdong University of Technology, Guangzhou, 510006, Guangdong, PR China
| | - Lianglun Cheng
- School of Computer, Guangdong University of Technology, Guangzhou, 510006, Guangdong, PR China
| | - Yangxing Wen
- First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, PR China
| | - Juze Lin
- Guangdong Provincial People's Hospital, Guangzhou, 510000, Guangdong, PR China
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Park K, Shin JH, Byun JI, Jeong E, Kim HJ, Jung KY. Electroencephalographic spectro-spatial covariance patterns related to phenoconversion in isolated rapid eye movement sleep behavior disorder and their longitudinal trajectories in α-synucleinopathies. Sleep 2024; 47:zsae052. [PMID: 38482885 DOI: 10.1093/sleep/zsae052] [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: 09/19/2023] [Revised: 02/05/2024] [Indexed: 06/14/2024] Open
Abstract
STUDY OBJECTIVES This study aimed to identify electroencephalographic (EEG) spectro-spatial covariance patterns associated with phenoconversion in isolated rapid eye movement sleep behavior disorder (iRBD) patients and explore their longitudinal trajectories within α-synucleinopathies. METHODS We assessed 47 participants, including 35 patients with iRBD and 12 healthy controls (HC), through baseline eye-closed resting EEGs. Patients with iRBD underwent follow-up EEG assessments and 18 patients with iRBD converted (12 to Parkinson's disease (PD), 6 to dementia with Lewy bodies [DLB]) during follow-up. We derived EEG spectro-spatial covariance patterns for PD-RBD and DLB-RBD from converters and HC. Correlations with motor and cognitive function, baseline distinctions among iRBD converters and nonconverters, and longitudinal trajectories were examined. RESULTS At baseline, converters exhibited higher PD-RBD and DLB-RBD beta2 pattern scores compared to nonconverters (each area under curve [AUC] = 0.7751). The delta and alpha spatial patterns effectively distinguished both PD and DLB converters from HC, with the alpha pattern showing high discriminative power (AUC = 0.9097 for PD-RBD, 0.9306 for DLB-RBD). Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale part III scores correlated positively with PD-RBD and DLB-RBD delta patterns (Spearman's rho = 0.688, p = 0.00014; rho = 0.539, p = 0.0055, respectively), with age and sex as cofactors. Distinct trajectories emerged during follow-up among PD converters, DLB converters, and iRBD nonconverters. CONCLUSIONS Unique EEG spectro-spatial patterns specific to PD-RBD and DLB-RBD offer potential as predictive markers for phenoconversion to α-synucleinopathies in iRBD.
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Affiliation(s)
- Kyoungeun Park
- Interdisciplinary Program in Bioengineering, College of Engineering, Seoul National University, Seoul, South Korea
| | - Jung Hwan Shin
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Jung-Ick Byun
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Seoul, South Korea
| | - El Jeong
- Interdisciplinary Program in Bioengineering, College of Engineering, Seoul National University, Seoul, South Korea
| | - Han-Joon Kim
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Ki-Young Jung
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
- Sensory Organ Research Institute, Seoul National University Medical Research Center, Seoul, South Korea; Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, South Korea
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Popovova J, Mazloum R, Macauda G, Stämpfli P, Vuilleumier P, Frühholz S, Scharnowski F, Menon V, Michels L. Enhanced attention-related alertness following right anterior insular cortex neurofeedback training. iScience 2024; 27:108915. [PMID: 38318347 PMCID: PMC10839684 DOI: 10.1016/j.isci.2024.108915] [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: 07/06/2023] [Revised: 11/15/2023] [Accepted: 01/11/2024] [Indexed: 02/07/2024] Open
Abstract
The anterior insular cortex, a central node of the salience network, plays a critical role in cognitive control and attention. Here, we investigated the feasibility of enhancing attention using real-time fMRI neurofeedback training that targets the right anterior insular cortex (rAIC). 56 healthy adults underwent two neurofeedback training sessions. The experimental group received feedback from neural responses in the rAIC, while control groups received sham feedback from the primary visual cortex or no feedback. Cognitive functioning was evaluated before, immediately after, and three months post-training. Our results showed that only the rAIC neurofeedback group successfully increased activity in the rAIC. Furthermore, this group showed enhanced attention-related alertness up to three months after the training. Our findings provide evidence for the potential of rAIC neurofeedback as a viable approach for enhancing attention-related alertness, which could pave the way for non-invasive therapeutic strategies to address conditions characterized by attention deficits.
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Affiliation(s)
- Jeanette Popovova
- Department of Neuroradiology, University Hospital of Zurich, 8091 Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland
- Department of Psychology, University of Zurich, 8050 Zurich, Switzerland
| | - Reza Mazloum
- Department of Neuroradiology, University Hospital of Zurich, 8091 Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland
- Department of Health Sciences and Technology, ETH Zurich, 8092 Zurich, Switzerland
| | - Gianluca Macauda
- Department of Neuroradiology, University Hospital of Zurich, 8091 Zurich, Switzerland
| | - Philipp Stämpfli
- MR-Center of the Department of Psychiatry, Psychotherapy and Psychosomatics and the Department of Child and Adolescent Psychiatry, Psychiatric Hospital, University of Zurich, 8032 Zurich, Switzerland
| | - Patrik Vuilleumier
- Department of Neurosciences and Clinic of Neurology, Laboratory for Neurology and Imaging of Cognition, University of Geneva, 1211 Geneva, Switzerland
| | - Sascha Frühholz
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland
- Department of Psychology, University of Oslo, 0851 Oslo, Norway
| | - Frank Scharnowski
- Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, 1010 Vienna, Austria
| | - Vinod Menon
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Lars Michels
- Department of Neuroradiology, University Hospital of Zurich, 8091 Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland
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Mombelli S, Leitner C, D'Este G, Sforza M, Marelli S, Castelnuovo A, Zucconi M, Casoni F, Fantini ML, Novellino F, Salsone M, Ferini-Strambi L, Galbiati A. A data-driven approach to neuropsychological features in isolated REM behaviour disorder: A latent class analysis. J Neuropsychol 2023; 17:161-179. [PMID: 36192363 DOI: 10.1111/jnp.12292] [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: 05/31/2022] [Accepted: 06/28/2022] [Indexed: 11/30/2022]
Abstract
Recent evidence demonstrated that neuropsychological assessment may be considered a valid marker of neurodegeneration in idiopathic REM sleep behaviour disorder (iRBD). However, little is known about the possible neuropsychological heterogeneity within the iRBD population. This retrospective study aimed to identify and describe different neuropsychological phenotypes in iRBD patients by means of a data-driven approach using latent class analysis. A total of 289 iRBD patients underwent a neuropsychological assessment evaluating cognitive domains: global cognition, language, short- and long-term memory, executive functions and visuospatial abilities. The presence of mild cognitive impairment (MCI) was also assessed. Latent class analysis was carried out to identify iRBD subtypes according to neuropsychological scores. The most parsimonious model identified three latent classes. Groups were labelled as follows: Class 2 "severely impaired" (n = 83/289): mean pathological scores in different tests, a high percentage of MCI multiple-domain and impairment in all neuropsychological domains. Class 1 "moderately impaired" (n = 44/289): mean neuropsychological score within the normal value, a high percentage of MCI (high risk to phenoconversion) and great impairment in the visuospatial domain. Class 3 "slightly impaired" (n = 162/289): no deficit worthy of attention except for short- and long-term memory. Our results suggest three different clinical phenotypes within the iRBD population. These findings may be relevant in the future for predicting the clinical trajectories of phenoconversion in iRBD.
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Affiliation(s)
- Samantha Mombelli
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Caterina Leitner
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy
| | - Giada D'Este
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy
| | - Marco Sforza
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy
| | - Sara Marelli
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alessandra Castelnuovo
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Marco Zucconi
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Francesca Casoni
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria Livia Fantini
- Sleep and EEG, Neurophysiology Unit, Clermont-Ferrand University Hospital and UMR 6602 - Université Clermont Auvergne, CNRS, Institut Pascal, Clermont-Ferrand, France
| | - Fabiana Novellino
- Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council, Catanzaro, Italy.,Department of Pharmacology and Toxicology, School of Medicine, Universidad Complutense de Madrid (UCM), Madrid, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Investigación Neuroquímica (IUINQ-UCM), Madrid, Spain.,Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas12), Madrid, Spain
| | - Maria Salsone
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy.,Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council, Catanzaro, Italy
| | - Luigi Ferini-Strambi
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy
| | - Andrea Galbiati
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy
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