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Hordila ML, García‐Bravo C, Palacios‐Ceña D, Pérez‐Corrales J. Locked-in syndrome: A qualitative study of a life story. Brain Behav 2024; 14:e3495. [PMID: 39106335 PMCID: PMC11302814 DOI: 10.1002/brb3.3495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 02/03/2024] [Accepted: 02/21/2024] [Indexed: 08/09/2024] Open
Abstract
INTRODUCTION Locked-in syndrome (LIS) is characterized by tetraplegia, anarthria, paralysis of cranial nerves, and facial musculature, with the preservation of consciousness and cognitive abilities, as well as vertical eye movements and eyelid movements, hearing, and breathing. Three types of LIS are distinguished: classic, incomplete, and total. The aim of the present study was to describe the life history of a person with LIS, as well as the wife's experience and perspective of this life history. METHODS A qualitative life history study was conducted with two participants: a 54-year-old man diagnosed with LIS and his 50-year-old wife. Data were collected through interviews and autobiographical documents submitted by the participants and analyzed following Braun and Clarke's method of inductive thematic analysis. RESULTS Five main themes were identified: (1) how to understand and overcome the new situation; (2) the process of care and rehabilitation; (3) communication; (4) writing as a way of helping oneself and others; and (5) personal autonomy and social participation. CONCLUSION The participants valued the support of their friends and family in the acceptance stage of the new situation, giving special importance to the communication skills and medical attention received after diagnosis.
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Affiliation(s)
| | - Cristina García‐Bravo
- Research Group of Humanities and Qualitative Research in Health Science, Department of Physical Therapy, Occupational Therapy, Physical Medicine and RehabilitationUniversidad Rey Juan CarlosAlcorconSpain
| | - Domingo Palacios‐Ceña
- Research Group of Humanities and Qualitative Research in Health Science, Department of Physical Therapy, Occupational Therapy, Physical Medicine and RehabilitationUniversidad Rey Juan CarlosAlcorconSpain
| | - Jorge Pérez‐Corrales
- Research Group of Humanities and Qualitative Research in Health Science, Department of Physical Therapy, Occupational Therapy, Physical Medicine and RehabilitationUniversidad Rey Juan CarlosAlcorconSpain
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Ma X, Qi Y, Xu C, Weng Y, Yu J, Sun X, Yu Y, Wu Y, Gao J, Li J, Shu Y, Duan S, Luo B, Pan G. How well do neural signatures of resting-state EEG detect consciousness? A large-scale clinical study. Hum Brain Mapp 2024; 45:e26586. [PMID: 38433651 PMCID: PMC10910334 DOI: 10.1002/hbm.26586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 12/12/2023] [Accepted: 12/21/2023] [Indexed: 03/05/2024] Open
Abstract
The assessment of consciousness states, especially distinguishing minimally conscious states (MCS) from unresponsive wakefulness states (UWS), constitutes a pivotal role in clinical therapies. Despite that numerous neural signatures of consciousness have been proposed, the effectiveness and reliability of such signatures for clinical consciousness assessment still remains an intense debate. Through a comprehensive review of the literature, inconsistent findings are observed about the effectiveness of diverse neural signatures. Notably, the majority of existing studies have evaluated neural signatures on a limited number of subjects (usually below 30), which may result in uncertain conclusions due to small data bias. This study presents a systematic evaluation of neural signatures with large-scale clinical resting-state electroencephalography (EEG) signals containing 99 UWS, 129 MCS, 36 emergence from the minimally conscious state, and 32 healthy subjects (296 total) collected over 3 years. A total of 380 EEG-based metrics for consciousness detection, including spectrum features, nonlinear measures, functional connectivity, and graph-based measures, are summarized and evaluated. To further mitigate the effect of data bias, the evaluation is performed with bootstrap sampling so that reliable measures can be obtained. The results of this study suggest that relative power in alpha and delta serve as dependable indicators of consciousness. With the MCS group, there is a notable increase in the phase lag index-related connectivity measures and enhanced functional connectivity between brain regions in comparison to the UWS group. A combination of features enables the development of an automatic detector of conscious states.
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Affiliation(s)
- Xiulin Ma
- Department of Neurobiology and Department of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China
- MOE Frontier Science Center for Brain Science and Brain-machine Integration, and the Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University, Hangzhou, China
| | - Yu Qi
- MOE Frontier Science Center for Brain Science and Brain-machine Integration, and the Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University, Hangzhou, China
- The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China
| | - Chuan Xu
- Department of Neurobiology and Department of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Sir Run Run Shaw Hospital, Hangzhou, China
| | - Yijie Weng
- College of Computer Science and Technology, Zhejiang University, Hangzhou, China
| | - Jie Yu
- Department of Neurobiology and Department of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xuyun Sun
- College of Computer Science and Technology, Zhejiang University, Hangzhou, China
| | - Yamei Yu
- Department of Neurobiology and Department of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Sir Run Run Shaw Hospital, Hangzhou, China
| | - Yuehao Wu
- Department of Neurobiology and Department of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jian Gao
- Department of Rehabilitation, Hangzhou Mingzhou Brain Rehabilitation Hospital, Hangzhou, China
| | - Jingqi Li
- Department of Rehabilitation, Hangzhou Mingzhou Brain Rehabilitation Hospital, Hangzhou, China
| | - Yousheng Shu
- Department of Neurosurgery, Jinshan Hospital, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Institute for Translational Brain Research, Fudan University, Shanghai, China
| | - Shumin Duan
- Department of Neurobiology and Department of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China
- MOE Frontier Science Center for Brain Science and Brain-machine Integration, and the Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University, Hangzhou, China
| | - Benyan Luo
- Department of Neurobiology and Department of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- MOE Frontier Science Center for Brain Science and Brain-machine Integration, and the Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University, Hangzhou, China
- The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China
| | - Gang Pan
- Department of Neurobiology and Department of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- MOE Frontier Science Center for Brain Science and Brain-machine Integration, and the Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University, Hangzhou, China
- The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China
- College of Computer Science and Technology, Zhejiang University, Hangzhou, China
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Vieira GDD, Ferreira ZCG, Nóbrega L, Cardoso FSS, Leal EM, Schlindwein R. Communication board in locked-in syndrome: a practical interaction method with the patient. Dement Neuropsychol 2023; 17:e20230041. [PMID: 37965482 PMCID: PMC10642070 DOI: 10.1590/1980-5764-dn-2023-0041] [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: 05/15/2023] [Accepted: 08/11/2023] [Indexed: 11/16/2023] Open
Abstract
Locked-in syndrome is a neurological condition characterized by tetraplegia, mutism, preservation of vertical eye movement, superior eyelid movement, and intact consciousness, making it impossible for the patient to communicate properly. We herein describe a case to analyze the practice of developing a method of communication for a patient with locked-in syndrome. Two communication boards were created, adapted to the Portuguese language, as well as a shortcut to inquire about the physical and emotional patient's well-being. We had difficulty with the initial communication board, due to the patient's low education level, so we adapted a new one to the patient's social context, including a shortcut to inquire about physical and emotional well-being. The communication board had a positive impact on treatment development and the patient's life.
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Affiliation(s)
- Gabriel de Deus Vieira
- Universidade Federal de Santa Catarina, Departamento de Neurologia, Florianópolis SC, Brazil
| | | | - Lucas Nóbrega
- Universidade Federal de Santa Catarina, Departamento de Neurologia, Florianópolis SC, Brazil
| | | | - Eduardo Martins Leal
- Universidade Federal de Santa Catarina, Departamento de Neurologia, Florianópolis SC, Brazil
| | - Rachel Schlindwein
- Universidade Federal de Santa Catarina, Departamento de Neurologia, Florianópolis SC, Brazil
- Universidade Federal de Santa Catarina, Departamento de Neuropsiquiatria, Florianópolis SC, Brazil
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Yoshiki H, Morimoto N, Urayama KY. Understanding the Psychological Well-being of Patients With Locked-in Syndrome: A Scoping Review. Cureus 2023; 15:e34295. [PMID: 36860234 PMCID: PMC9970725 DOI: 10.7759/cureus.34295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/26/2023] [Indexed: 01/30/2023] Open
Abstract
Locked-in syndrome (LiS) is a neurological disorder caused by lesions affecting the ventral pons and midbrain and is characterized by loss of physical function, but with perceived consciousness intact. Despite severely limited function, previous studies have shown the quality of life (QoL) in patients to be more positive than naturally assumed by caregivers and relatives. The present review aims to synthesize the broad scientific literature focused on the psychological well-being of LiS patients. A scoping review was performed to synthesize the available evidence on the psychological well-being of LiS patients. Eligible studies included those that target individuals with LiS as the study population, evaluated psychological well-being, and explored the factors related to it. We extracted study population details, type of QoL methods, method of communication, and primary findings from the studies. We summarized the findings categorized into health-related QoL (HRQoL), global QoL, and other tools for assessing psychological status. Across the 13 eligible studies, we observed that patients with LiS had reasonable or similar psychological well-being as the standard based on HRQoL and global QoL assessment. Caregivers and healthcare professionals seem to rate the psychological QoL of LiS patients lower than patients themselves. Studies showed evidence that the longer duration of LiS is a factor that positively affects QoL, and augmentative and alternative communication tools and recovery of speech production showed positive effects as well. Studies reported a range of 27% to 68% of patients experiencing thoughts of suicide and euthanasia. The evidence shows that LiS patients had reasonable psychological well-being. There appear to be differences between patients' assessed well-being and the negative perceptions by caregivers. Response shift and adaptation to disease by patients are considered potential reasons. A sufficient moratorium period and provision of information to support patients' QoL and appropriate decision-making seems necessary.
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Affiliation(s)
- Hiroshi Yoshiki
- Public Health, St. Luke's International University, Tokyo, JPN
| | | | - Kevin Y Urayama
- Public Health, St. Luke's International University, Tokyo, JPN
- Social Medicine, National Center for Child Health and Development, Tokyo, JPN
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