A Systematic Review of Sleep in Patients with Disorders of Consciousness: From Diagnosis to Prognosis

被引:18
作者
Pan, Jiahui [1 ,2 ]
Wu, Jianhui [1 ]
Liu, Jie [1 ]
Wu, Jiawu [1 ]
Wang, Fei [1 ]
机构
[1] South China Normal Univ, Sch Software, Foshan 528225, Peoples R China
[2] Pazhou Lab, Guangzhou 510330, Peoples R China
基金
中国国家自然科学基金;
关键词
sleep; electroencephalography (EEG); disorder of consciousness (DOC); minimally conscious state (MCS); unresponsive wakefulness syndrome (UWS); UNRESPONSIVE WAKEFULNESS; VEGETATIVE STATE; PATTERNS; EEG; ORGANIZATION; COGNITION;
D O I
10.3390/brainsci11081072
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
With the development of intensive care technology, the number of patients who survive acute severe brain injury has increased significantly. At present, it is difficult to diagnose the patients with disorders of consciousness (DOCs) because motor responses in these patients may be very limited and inconsistent. Electrophysiological criteria, such as event-related potentials or motor imagery, have also been studied to establish a diagnosis and prognosis based on command-following or active paradigms. However, the use of such task-based techniques in DOC patients is methodologically complex and requires careful analysis and interpretation. The present paper focuses on the analysis of sleep patterns for the evaluation of DOC and its relationships with diagnosis and prognosis outcomes. We discuss the concepts of sleep patterns in patients suffering from DOC, identification of this challenging population, and the prognostic value of sleep. The available literature on individuals in an unresponsive wakefulness syndrome (UWS) or minimally conscious state (MCS) following traumatic or nontraumatic severe brain injury is reviewed. We can distinguish patients with different levels of consciousness by studying sleep patients with DOC. Most MCS patients have sleep and wake alternations, sleep spindles and rapid eye movement (REM) sleep, while UWS patients have few EEG changes. A large number of sleep spindles and organized sleep-wake patterns predict better clinical outcomes. It is expected that this review will promote our understanding of sleep EEG in DOC.
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页数:14
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共 65 条
[1]  
Alekseyeva Ye. V., 2010, Anesteziologiya i Reanimatologiya, P38
[2]   Ensemble SVM Method for Automatic Sleep Stage Classification [J].
Alickovic, Emina ;
Subasi, Abdulhamit .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2018, 67 (06) :1258-1265
[3]   Could combined sleep and pain evaluation be useful in the diagnosis of disorders of consciousness (DOC)? Preliminary findings [J].
Arico, Irene ;
Naro, Antonino ;
Pisani, Laura Rosa ;
Leo, Antonino ;
Muscara, Nunzio ;
De Salvo, Simona ;
Silvestri, Rosalia ;
Bramanti, Placido ;
Calabro, Rocco Salvatore .
BRAIN INJURY, 2016, 30 (02) :159-163
[4]   The prognostic value of sleep patterns in disorders of consciousness in the sub-acute phase [J].
Arnaldi, Dario ;
Terzaghi, Michele ;
Cremascoli, Riccardo ;
De Carli, Fabrizio ;
Maggioni, Giorgio ;
Pistarini, Caterina ;
Nobili, Flavio ;
Moglia, Arrigo ;
Manni, Raffaele .
CLINICAL NEUROPHYSIOLOGY, 2016, 127 (02) :1445-1451
[5]   Polysomnographic Sleep Patterns in Children and Adolescents in Unresponsive Wakefulness Syndrome [J].
Avantaggiato, Paolo ;
Molteni, Erika ;
Formica, Francesca ;
Gigli, Gian Luigi ;
Valente, Mariarosaria ;
Lorenzut, Simone ;
de Biase, Stefano ;
Arcieri, Salvatore ;
Locatelli, Federica ;
Strazzer, Sandra .
JOURNAL OF HEAD TRAUMA REHABILITATION, 2015, 30 (05) :334-346
[6]   A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness [J].
Bai, Yang ;
Xia, Xiaoyu ;
Li, Xiaoli .
FRONTIERS IN NEUROLOGY, 2017, 8
[7]   Sleep and immune function [J].
Besedovsky, Luciana ;
Lange, Tanja ;
Born, Jan .
PFLUGERS ARCHIV-EUROPEAN JOURNAL OF PHYSIOLOGY, 2012, 463 (01) :121-137
[8]   Significance of circadian rhythms in severely brain-injured patients A clue to consciousness? [J].
Blume, Christine ;
Lechinger, Julia ;
Santhi, Nayantara ;
del Giudice, Renata ;
Gnjezda, Maria-Teresa ;
Pichler, Gerald ;
Scarpatetti, Monika ;
Donis, Johann ;
Michitsch, Gabriele ;
Schabus, Manuel .
NEUROLOGY, 2017, 88 (20) :1933-1941
[9]   A comparative review on sleep stage classification methods in patients and healthy individuals [J].
Boostani, Reza ;
Karimzadeh, Foroozan ;
Nami, Mohammad .
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2017, 140 :77-91
[10]   From unresponsive wakefulness to minimally conscious PLUS and functional locked-in syndromes: recent advances in our understanding of disorders of consciousness [J].
Bruno, Marie-Aurelie ;
Vanhaudenhuyse, Audrey ;
Thibaut, Aurore ;
Moonen, Gustave ;
Laureys, Steven .
JOURNAL OF NEUROLOGY, 2011, 258 (07) :1373-1384