An Ethical Approach to Detecting Covert Consciousness
DECODE
2 other identifiers
observational
70
1 country
1
Brief Summary
This study aims to develop an ethical approach to developing and deploying novel neurotechnologies to aid in the detection of consciousness and prediction of recovery after brain injury.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Feb 2022
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 15, 2021
CompletedFirst Posted
Study publicly available on registry
August 18, 2021
CompletedStudy Start
First participant enrolled
February 1, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
July 1, 2027
September 11, 2025
September 1, 2025
5.4 years
June 15, 2021
September 5, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Surveys and semi-structured interviews
Capture and evaluate salient perspectives, preferences and values surrounding the use of advanced neurotechnologies to detect consciousness and predict recovery
through study completion, an average of 1 year
Study Arms (1)
Use of advanced neurotechnologies to detect consciousness and predict recovery
Treating clinicians, family members (caregivers) and patients recovering from a diagnosis of coma, vegetative state, or minimally conscious state minus (i.e. minimally conscious state without language function)
Interventions
Surveys will serve to identify preferences, expectations and concerns among clinicians and researchers surrounding data-sharing of uncertain diagnostic data generated through investigative neurotechnologies which will then be systematically evaluated.
Semi-structured interviews will further serve to identify preferences, expectations and concerns among patients, surrogates, clinicians and researchers surrounding data-sharing of uncertain diagnostic data generated through these investigative neurotechnologies which will then be systematically evaluated.
Eligibility Criteria
Disorders of consciousness (DoC)
You may qualify if:
- Patients with prior or ongoing participation as subject in a research study using neurotechnologies for diagnosis and prognosis of disorders of consciousness (DoC) at Mass General Brigham
- Patients capable of understanding and answering questions in English
- Patients cble to provide informed consent
- Patients for whom MRI / EEG are administered for clinical detection of consciousness and/or neuroprognostication
- Family member or surrogate caregiver of patients who previously participated or are currently participating in a research study using neurotechnologies for diagnosis and prognosis of DoC at Mass General Brigham.
- Family Members / Surrogates capable of understanding and answering questions in English
- Family Members / Surrogates able to provide informed consent
- Family member or surrogate caregiver of patients for whom MRI / EEG are administered for clinical detection of consciousness and/or neuroprognostication
- Research Investigators involved with research responsibilities in designing or testing neurotechnologies on patients with DoC.
- Clinicians with clinical responsibilities caring for patients in behaviorally unresponsive state, defined as coma, vegetative state (VS), and low-level minimally conscious state (MCS).
- Selected leaders and advisors (Community and Thought Leaders) from brain injury associations and advocacy organizations, and policy-makers involved in decision-making impacting patients with DoC.
You may not qualify if:
- None
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Massachusetts General Hospital
Boston, Massachusetts, 02114, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Michael Young, MD
Massachusetts General Hospital
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
June 15, 2021
First Posted
August 18, 2021
Study Start
February 1, 2022
Primary Completion (Estimated)
July 1, 2027
Study Completion (Estimated)
July 1, 2027
Last Updated
September 11, 2025
Record last verified: 2025-09
Data Sharing
- IPD Sharing
- Will not share