Massachusetts General Hospital
Boston, Massachusetts, 02114, United States
Location status: Recruiting
NCT Number: NCT05010265
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.
Interested in participating?
Request Info18 year and older
All sexes
Observational
Boston, Massachusetts, 02114, United States
Location status: Recruiting
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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
None
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.
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
Contact information is provided by the study sponsor or research team.
Brian Edlow, MD
CONTACT
Michael Young, MD
CONTACT
Massachusetts General Hospital
Other
An Ethical Approach to Detecting Covert Consciousness: Data-Driven Neuroethics for Consciousness Detection (DECODE)
Acronym: DECODE
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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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