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

Semin Neurol. 2022 Jun;42(3):363-374. doi: 10.1055/a-1900-7261. Epub 2022 Jul 14.

Abstract

In recent years, neuroimaging studies have remarkably demonstrated the presence of cognitive motor dissociation in patients with disorders of consciousness (DoC). These findings accelerated the development of brain-computer interfaces (BCIs) as clinical tools for behaviorally unresponsive patients. This article reviews the recent progress of BCIs in patients with DoC and discusses the open challenges. In view of the practical application of BCIs in patients with DoC, four aspects of the relevant literature are introduced: consciousness detection, auxiliary diagnosis, prognosis, and rehabilitation. For each aspect, the paradigm design, brain signal processing methods, and experimental results of representative BCI systems are analyzed. Furthermore, this article provides guidance for BCI design for patients with DoC and discusses practical challenges for future research.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Brain-Computer Interfaces*
  • Consciousness
  • Consciousness Disorders / diagnosis
  • Electroencephalography
  • Humans
  • Prognosis

Grants and funding

Funding This work was supported by grants from the Science and Technology Innovation 2030–“Brain Science and Brain-like Research” Key Project (2022ZD0208900), the National Natural Science Foundation of China (62076103, 81920108023), and the Guangzhou Science and Technology Plan Project Key Field R&D Project (202007030005).