Literature DB >> 27590972

Brain-computer interfaces for patients with disorders of consciousness.

R M Gibson1, A M Owen2, D Cruse3.   

Abstract

The disorders of consciousness refer to clinical conditions that follow a severe head injury. Patients diagnosed as in a vegetative state lack awareness, while patients diagnosed as in a minimally conscious state retain fluctuating awareness. However, it is a challenge to accurately diagnose these disorders with clinical assessments of behavior. To improve diagnostic accuracy, neuroimaging-based approaches have been developed to detect the presence or absence of awareness in patients who lack overt responsiveness. For the small subset of patients who retain awareness, brain-computer interfaces could serve as tools for communication and environmental control. Here we review the existing literature concerning the sensory and cognitive abilities of patients with disorders of consciousness with respect to existing brain-computer interface designs. We highlight the challenges of device development for this special population and address some of the most promising approaches for future investigations.
© 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Awareness detection; Covert cognition; Disorders of consciousness; Minimally conscious state; Vegetative state

Mesh:

Year:  2016        PMID: 27590972     DOI: 10.1016/bs.pbr.2016.04.003

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  6 in total

1.  Clinical subcategorization of minimally conscious state according to resting functional connectivity.

Authors:  Charlène Aubinet; Stephen Karl Larroque; Lizette Heine; Charlotte Martial; Steve Majerus; Steven Laureys; Carol Di Perri
Journal:  Hum Brain Mapp       Date:  2018-07-04       Impact factor: 5.038

Review 2.  Clinical Decision on Disorders of Consciousness After Acquired Brain Injury: Stepping Forward.

Authors:  Rui-Zhe Zheng; Zeng-Xin Qi; Zhe Wang; Ze-Yu Xu; Xue-Hai Wu; Ying Mao
Journal:  Neurosci Bull       Date:  2022-07-08       Impact factor: 5.203

Review 3.  Brain-Computer Interfaces for Awareness Detection, Auxiliary Diagnosis, Prognosis, and Rehabilitation in Patients with Disorders of Consciousness.

Authors:  Jiahui Pan; Jun Xiao; Jing Wang; Fei Wang; Jingcong Li; Lina Qiu; Haibo Di; Yuanqing Li
Journal:  Semin Neurol       Date:  2022-07-14       Impact factor: 3.212

Review 4.  Understanding, detecting, and stimulating consciousness recovery in the ICU.

Authors:  Daniel Kondziella; Moshgan Amiri; Marwan H Othman; Elisabeth Waldemar Jakobsen; Tejs Jansen; Kirsten Møller
Journal:  Acta Neurochir (Wien)       Date:  2022-10-15       Impact factor: 2.816

Review 5.  Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation.

Authors:  Laura Carelli; Federica Solca; Andrea Faini; Paolo Meriggi; Davide Sangalli; Pietro Cipresso; Giuseppe Riva; Nicola Ticozzi; Andrea Ciammola; Vincenzo Silani; Barbara Poletti
Journal:  Biomed Res Int       Date:  2017-08-23       Impact factor: 3.411

6.  Prognosis for patients with cognitive motor dissociation identified by brain-computer interface.

Authors:  Jiahui Pan; Qiuyou Xie; Pengmin Qin; Yan Chen; Yanbin He; Haiyun Huang; Fei Wang; Xiaoxiao Ni; Andrzej Cichocki; Ronghao Yu; Yuanqing Li
Journal:  Brain       Date:  2020-04-01       Impact factor: 13.501

  6 in total

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