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NCT Number: NCT05010265

An Ethical Approach to Detecting Covert Consciousness

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.

Recruiting

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Massachusetts General Hospital

Boston, Massachusetts, 02114, United States

Location status: Recruiting

Location contact

Michael Young, MD

CONTACT

[email protected]

About this study

Previous studies of patients with disorders of consciousness (DoC) have suggested that conscious patients may be misdiagnosed as unconscious up to 40% of the time when traditional qualitative bedside examination is used (Schnakers et al. 2009, Van Erp et al. 2015, Fins and Bernat 2018). Given the well-established prognostic relevance of early behavioral recovery of consciousness for long-term functional outcomes (Giacino and Kalmar 1997, Giacino 2004, Portaccio et al. 2018, Faugeras et al. 2018, Pincherle et al. 2019), whether or not a patient is considered to be conscious is often the primary determinant of whether life-sustaining therapy is continued and neurorehabilitation is offered. Recent advances in neuroimaging and electrophysiologic neurotechnologies, including functional magnetic resonance imaging (fMRI) and electroencephalography (EEG), have yielded novel methods to aid in detecting and predicting emergence of consciousness in patients with brain injuries. Despite these unprecedented research advances, little is known about ethical concerns surrounding these novel neurotechnologies, about the phenomenological, ontological and ethical valence of conscious states of being without behaving revealed through their lens, or about the attitudes of clinicians, researchers, patients and caregivers regarding their responsible implementation. This study aims to fill these crucial knowledge gaps and to support the development of an evidence-based strategy for ensuring responsible research and translation of novel neurotechnologies to aid in the detection of consciousness and prediction of recovery after brain injury.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • 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.

Exclusion criteria

None

Treatment and study plan

Clinician Questionnaire

Other

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

Other

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.

Primary outcomes

  1. Surveys and semi-structured interviews

    Time frame: through study completion, an average of 1 year

    Capture and evaluate salient perspectives, preferences and values surrounding the use of advanced neurotechnologies to detect consciousness and predict recovery

Study contacts

Contact information is provided by the study sponsor or research team.

Brian Edlow, MD

CONTACT

[email protected]

617-724-6352

Michael Young, MD

CONTACT

[email protected]

617-724-6352

Sponsors and collaborators

Lead sponsor

Massachusetts General Hospital

Other

Collaborators

  • National Institute of Mental Health (NIMH)

Registry information

Official study title

An Ethical Approach to Detecting Covert Consciousness: Data-Driven Neuroethics for Consciousness Detection (DECODE)

Acronym: DECODE

Important dates

Study start
2022
Primary completion
2027
Study completion
2027
First posted
Aug 18, 2021
Registry last updated
Sep 11, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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