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Updated: Apr 16, 2026

Assessment and Communication for People with Disorders of Consciousness
Published on: August 1, 2017
Critical issues using brain-computer interfaces for augmentative and alternative communication.
Katya Hill1, Thomas Kovacs1, Sangeun Shin1
1Research Services, Pittsburgh VA HealthCare System, Pittsburgh, PA; AAC Performance, Testing and Teaching Lab, Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA.
Brain-computer interfaces (BCIs) offer communication solutions for severe motor neuron diseases. This article outlines key challenges in translating BCI technology from research to clinical use for improved patient outcomes.
Area of Science:
- Neuroscience
- Rehabilitation Engineering
- Assistive Technology
Background:
- Conventional augmentative and alternative communication (AAC) systems are often inadequate for patients with advanced amyotrophic lateral sclerosis (ALS) and locked-in syndrome.
- Brain-computer interfaces (BCIs) show promise for communication in these patient populations but are largely confined to laboratory research.
Purpose of the Study:
- To identify critical issues for the clinical translation of BCI/AAC systems.
- To propose a framework for integrating BCI/AAC systems into clinical practice.
- To highlight areas for future research and development in BCI technology.
Main Methods:
- Discussion of four key issues: system feature identification, integration with the International Classification of Functioning, Disability and Health (ICF) framework, language-based assessment and intervention, and performance measurement.
- Presentation of a clinical demonstration project addressing these issues.
Main Results:
- Identification of essential considerations for BCI/AAC system development and clinical implementation.
- Demonstration of a research project initiating the process of addressing these critical translation issues.
Conclusions:
- Addressing identified challenges is crucial for the successful clinical adoption of BCI/AAC systems.
- Further research and development are needed to optimize BCI performance and integration for patients with severe motor impairments.
- A structured approach is required to bridge the gap between BCI research and clinical application.
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