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All Neurology BriefingsBrain: A Journal of Neurology
NeurologyReal-World Cohort6 min read

Clinically unresponsive patients with acute brain injury activate a brain-computer interface

At 12 months, 6 of 13 patients with (46%) and 2 of 28 without BCI control (7%) recovered functional independence (OR 9.9; 95% CI 1.8-81.6).

Published in Brain: A Journal of NeurologyObservational cohort study
3/5 Observational
Evidence Meter · 3/5

Real-World Observation

Finds meaningful patterns in human health records or cohorts, though observational data cannot prove direct cause.

Source

Fewer Hospital Visits

4%

These results suggest that BCI control is a strong predictor of outcomes following acute brain injury and provide initial evidence that a bedside, EEG-based BCI system might permit bidirectional communication in critically ill unresponsive patients.

What Changes?

Neurology · Real-World Cohort

Current Standard

Conventional neurology practice relies on standard-of-care monitoring and existing regimens prior to this observational cohort study.

New Finding

Median signal delay for BCI control was 49.8 [interquartile range (IQR) 39.9-75.6] seconds for clinically unresponsive patients, 17.1 (IQR 7.8-19.9) for conscious patients and 15.5 (IQR 12.9-21.2) for healthy volunteers.

3 Key Takeaways

Plain English Summary
  1. 01Core Finding

    These patients with cognitive motor dissociation (CMD) are unable to communicate with the environment despite preserved consciousness.

  2. 02Study Evidence

    Tested in a observational cohort study (n = 37) at the real-world cohort stage.

  3. 03Practical Meaning

    None of the patients that were unable to control the BCI and were CMD-negative recovered.

What This Means for You

Median signal delay for BCI control was 49.8 [interquartile range (IQR) 39.9-75.6] seconds for clinically unresponsive patients, 17.1 (IQR 7.8-19.9) for conscious patients and 15.5 (IQR 12.9-21.2) for healthy volunteers. In the group of 41 clinically unresponsive patients, 4 of 13 patients with (31%) and 1 of 28 without BCI control recovered clinical consciousness at hospital discharge [odds ratio (OR) 21.2; a clinically meaningful level confidence interval (CI) 2.3-930.7].

At 12 months, 6 of 13 patients with and 2 of 28 without BCI control recovered functional independence (OR 9.9; a clinically meaningful level CI 1.8-81.6). None of the patients that were unable to control the BCI and were CMD-negative recovered.

Patients with BCI control had shorter times to recovery of functional independence by 12 months than those who did not (hazards ratio 6.0; a clinically meaningful level CI 1.2-30.6). All respondents of the BCI survey (n = 37) expressed strong support for the potential future use of BCI devices.

These results suggest that BCI control is a strong predictor of outcomes following acute brain injury and provide initial evidence that a bedside, EEG-based BCI system might permit bidirectional communication in critically ill unresponsive patients.

The Discovery

Brain activation to verbal commands can be detected by EEG in clinically unresponsive patients. These patients with cognitive motor dissociation (CMD) are unable to communicate with the environment despite preserved consciousness. Advanced brain-computer interfaces (BCI) are promising to support motor function in patients with motor neuron disease or spinal cord injury. Our primary objective was to determine if clinically unresponsive patients can control a self-paced, one-way BCI early after acute brain injury. Secondarily, we assessed the association of BCI control with short- and long-term outcomes. We conducted a prospective single-centre cohort study in 41 clinically unresponsive, critically ill and acutely brain injured patients, as well as in a convenience sample of 8 healthy volunteers and 22 conscious critically ill patients. The self-paced BCI analysed EEG in real time and modulated frequency and pitch of a tone that patients controlled by attempting a motor task: patients were provided with instructions 'to make the beep sound faster, keep opening and closing your right hand' alternating with 'to make the beep sound slower, stop opening and closing your right hand'. CMD was detected by applying machine learning to EEG recorded while patients listened to motor commands. Clinical outcomes were recovery of consciousness by hospital discharge, assessed with the Coma Recovery Scale-Revised, and recovery of functional independence at 12 months, defined as a Glasgow Outcome Scale-Extended score of 4 or higher (denoting the ability to function independently for 8 h or more). Additionally, we invited conscious patients as well as family members of conscious and clinically unresponsive patients to complete a survey on perceived utility and challenges associated with the BCI. In this study, 13 clinically unresponsive patients (32%) achieved BCI control and 8 of 41 (20%) were CMD-positive. All healthy volunteers and nine conscious patients (41%) were able to control the BCI.

How It Works, Simply

This neurology research focuses on AI model. Researchers evaluated it using an observational cohort study (n = 37) at the real-world cohort stage of medical research.

3 Key Takeaways

Clinical Takeaways
  1. 01Core Finding

    These patients with cognitive motor dissociation (CMD) are unable to communicate with the environment despite preserved consciousness.

  2. 02Study Evidence

    Tested in a observational cohort study (n = 37) at the real-world cohort stage.

  3. 03Practical Meaning

    None of the patients that were unable to control the BCI and were CMD-negative recovered.

Key Numbers

Quantitative Study Readout
12 months
Follow-Up Window
n = 37
Study Cohort
01

Biological Mechanism & Study Design

Study Design & Cohort

Observational cohort study

Observational cohort study (n = 37) · Real-World Cohort

Biological Pathway & Modality

AI model

Intervention: Clinically unresponsive patients with acute brain injury activate a brain-computer

02

Experimental Findings & Endpoints

Brain activation to verbal commands can be detected by EEG in clinically unresponsive patients.

These patients with cognitive motor dissociation (CMD) are unable to communicate with the environment despite preserved consciousness. Advanced brain-computer interfaces (BCI) are promising to support motor function in patients with motor neuron disease or spinal cord injury.

Our primary objective was to determine if clinically unresponsive patients can control a self-paced, one-way BCI early after acute brain injury. Secondarily, we assessed the association of BCI control with short- and long-term outcomes.

We conducted a prospective single-centre cohort study in 41 clinically unresponsive, critically ill and acutely brain injured patients, as well as in a convenience sample of 8 healthy volunteers and 22 conscious critically ill patients. The self-paced BCI analysed EEG in real time and modulated frequency and pitch of a tone that patients controlled by attempting a motor task: patients were provided with instructions 'to make the beep sound faster, keep opening and closing your right hand' alternating with 'to make the beep sound slower, stop opening and closing your right hand'.

CMD was detected by applying machine learning to EEG recorded while patients listened to motor commands. Clinical outcomes were recovery of consciousness by hospital discharge, assessed with the Coma Recovery Scale-Revised, and recovery of functional independence at 12 months, defined as a Glasgow Outcome Scale-Extended score of 4 or higher (denoting the ability to function independently for 8 h or more).

Additionally, we invited conscious patients as well as family members of conscious and clinically unresponsive patients to complete a survey on perceived utility and challenges associated with the BCI. In this study, 13 clinically unresponsive patients (32%) achieved BCI control and 8 of 41 (20%) were CMD-positive.

All healthy volunteers and nine conscious patients (41%) were able to control the BCI.

03

Clinical Translation & Practice Context

Median signal delay for BCI control was 49.8 [interquartile range (IQR) 39.9-75.6] seconds for clinically unresponsive patients, 17.1 (IQR 7.8-19.9) for conscious patients and 15.5 (IQR 12.9-21.2) for healthy volunteers.

In the group of 41 clinically unresponsive patients, 4 of 13 patients with (31%) and 1 of 28 without BCI control recovered clinical consciousness at hospital discharge [odds ratio (OR) 21.2; a clinically meaningful level confidence interval (CI) 2.3-930.7].

At 12 months, 6 of 13 patients with and 2 of 28 without BCI control recovered functional independence (OR 9.9; a clinically meaningful level CI 1.8-81.6). None of the patients that were unable to control the BCI and were CMD-negative recovered.

Patients with BCI control had shorter times to recovery of functional independence by 12 months than those who did not (hazards ratio 6.0; a clinically meaningful level CI 1.2-30.6). All respondents of the BCI survey (n = 37) expressed strong support for the potential future use of BCI devices.

These results suggest that BCI control is a strong predictor of outcomes following acute brain injury and provide initial evidence that a bedside, EEG-based BCI system might permit bidirectional communication in critically ill unresponsive patients.

03

The Bottom Line · Clinical Pearl

“These results suggest that BCI control is a strong predictor of outcomes following acute brain injury and provide initial evidence that a bedside, EEG-based BCI system might permit bidirectional communication in critically ill unresponsive patients.”

Published in Brain: A Journal of Neurology · Current Stage: Real-World Cohort

Neurology · Real-World Cohort
Study Type
Observational cohort study

Observational cohort study (n = 37)

Evidence Score
3/5 · Real-World Observation
Evidence Meter · 3/5

Real-World Observation

Finds meaningful patterns in human health records or cohorts, though observational data cannot prove direct cause.

Finds meaningful patterns in human health records or cohorts, though observational data cannot prove direct cause.

Who It Applies To
Patients with acute brain injury activate a brain-computer interface
Intervention & Mechanism
Clinically unresponsive patients with acute brain injury activate a brain-computer

AI model

Key Limitation
Observational cohort findings reveal real-world links, though lifestyle or unmeasured factors cannot be fully ruled out without an RCT.

Translational Stage

LEVEL 2 · Real-World Cohort

Classified as Observational cohort study along the clinical evidence continuum

  1. Lab & Discovery
  2. Early Trials
  3. Human Evidence
  4. 4Real-World CohortActive

Indexed Clinical Entities

Original Publication & AMA Citation

Clinically unresponsive patients with acute brain injury activate a brain-computer interface. Brain: A Journal of Neurology. Published 2026;Oct 22. Accessed November 15, 2026. https://pubmed.ncbi.nlm.nih.gov/42911846/

Brain: A Journal of Neurology

https://pubmed.ncbi.nlm.nih.gov/42911846/

Read Original Paper

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