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Xiao X, Ding J, Yu M, Dong Z, Cruz S, Ding N, Aubinet C, Laureys S, Di H, Chen Y. Exploring the clinical diagnostic value of linguistic learning ability in patients with disorders of consciousness using electrooculography. Neuroimage 2024; 297:120753. [PMID: 39053636 DOI: 10.1016/j.neuroimage.2024.120753] [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: 05/28/2024] [Revised: 07/15/2024] [Accepted: 07/23/2024] [Indexed: 07/27/2024] Open
Abstract
For patients with disorders of consciousness (DoC), accurate assessment of residual consciousness levels and cognitive abilities is critical for developing appropriate rehabilitation interventions. In this study, we investigated the potential of electrooculography (EOG) in assessing language processing abilities and consciousness levels. Patients' EOG data and related electrophysiological data were analysed before and after explicit language learning. The results showed distinct differences in vocabulary learning patterns among patients with varying levels of consciousness. While minimally conscious patients showed significant neural tracking of artificial words and notable learning effects similar to those observed in healthy controls, whereas patients with unresponsive wakefulness syndrome did not show such effects. Correlation analysis further indicated that EOG detected vocabulary learning effects with comparable validity to electroencephalography, reinforcing the credibility of EOG indicator as a diagnostic tool. Critically, EOG also revealed significant correlations between individual patients' linguistic learning performance and their Oromotor/verbal function as assessed through behavioural scales. In conclusion, this study explored the differences in language processing abilities among patients with varying consciousness levels. By demonstrating the utility of EOG in evaluating consciousness and detecting vocabulary learning effects, as well as its potential to guide personalised rehabilitation, our findings indicate that EOG indicators show promise as a rapid, accurate and effective additional tool for diagnosing and managing patients with DoC.
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Affiliation(s)
- Xiangyue Xiao
- International Unresponsive Wakefulness Syndrome and Consciousness Science Institute, Hangzhou Normal University, Hangzhou 311121, China; Key Laboratory of Ageing and Cancer Biology of Zhejiang Province, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou 311121, China
| | - Junhua Ding
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9YL, UK
| | - Mingyan Yu
- International Unresponsive Wakefulness Syndrome and Consciousness Science Institute, Hangzhou Normal University, Hangzhou 311121, China; Key Laboratory of Ageing and Cancer Biology of Zhejiang Province, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou 311121, China
| | - Zhicai Dong
- International Unresponsive Wakefulness Syndrome and Consciousness Science Institute, Hangzhou Normal University, Hangzhou 311121, China; Key Laboratory of Ageing and Cancer Biology of Zhejiang Province, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou 311121, China
| | - Sara Cruz
- The Psychology for Development Research Centre, Lusiada University Porto, Porto 4100-348, Portugal
| | - Nai Ding
- Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Sciences, Zhejiang University, Hangzhou 310027, China
| | - Charlène Aubinet
- Coma Science Group, GIGA Consciousness & Centre du Cerveau, University and University Hospital of Liège, Liège 4000, Belgium; Psychology & Neuroscience of Cognition Research Unit, University of Liège, Liège 4000, Belgium
| | - Steven Laureys
- Coma Science Group, GIGA Consciousness & Centre du Cerveau, University and University Hospital of Liège, Liège 4000, Belgium
| | - Haibo Di
- International Unresponsive Wakefulness Syndrome and Consciousness Science Institute, Hangzhou Normal University, Hangzhou 311121, China; Key Laboratory of Ageing and Cancer Biology of Zhejiang Province, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou 311121, China.
| | - Yan Chen
- International Unresponsive Wakefulness Syndrome and Consciousness Science Institute, Hangzhou Normal University, Hangzhou 311121, China; Key Laboratory of Ageing and Cancer Biology of Zhejiang Province, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou 311121, China.
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Bonanno M, De Luca R, Torregrossa W, Tonin P, Calabrò RS. Moving toward Appropriate Motor Assessment Tools in People Affected by Severe Acquired Brain Injury: A Scoping Review with Clinical Advices. Healthcare (Basel) 2022; 10:healthcare10061115. [PMID: 35742166 PMCID: PMC9223221 DOI: 10.3390/healthcare10061115] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 05/30/2022] [Accepted: 06/13/2022] [Indexed: 01/03/2023] Open
Abstract
Severe acquired brain injury (SABI) is among the leading causes of death and disability worldwide. Patients following SABI may develop motor, sensory and cognitive disorders, alone or in combination. This review aims to point out the most used scales to assess motor function in SABI patients, also attempting to give some indications on their applicability in clinical practice. Studies were identified by searching on PubMed, Web of Science, PeDro and Cochrane databases between January and March 2022. We found that motor assessment tools are currently used by researchers/clinicians either in the acute/post-acute phase (for prognosis and rehabilitation purposes) or in the chronic phase (when functional items may also be considered). Moreover, specific scales exist only for patients with disorders of consciousness, whereas regarding motor function, SABI is mainly assessed by adapting the tools commonly used for stroke. Although some doubts remain about the validity of some of these assessment tools in SABI, to investigate motor outcomes is fundamental to establish a correct prognosis and plan a tailored rehabilitation training in these very frail and vulnerable patients.
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Affiliation(s)
- Mirjam Bonanno
- Neurorehabilitation Unit, IRCCS Centro Neurolesi “Bonino-Pulejo”, 98121 Messina, Italy; (M.B.); (R.D.L.); (W.T.)
| | - Rosaria De Luca
- Neurorehabilitation Unit, IRCCS Centro Neurolesi “Bonino-Pulejo”, 98121 Messina, Italy; (M.B.); (R.D.L.); (W.T.)
| | - William Torregrossa
- Neurorehabilitation Unit, IRCCS Centro Neurolesi “Bonino-Pulejo”, 98121 Messina, Italy; (M.B.); (R.D.L.); (W.T.)
| | | | - Rocco Salvatore Calabrò
- Neurorehabilitation Unit, IRCCS Centro Neurolesi “Bonino-Pulejo”, 98121 Messina, Italy; (M.B.); (R.D.L.); (W.T.)
- Correspondence:
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