Viewing Study NCT04798456


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Study NCT ID: NCT04798456
Status: UNKNOWN
Last Update Posted: 2021-03-15
First Post: 2021-03-03
Is NOT Gene Therapy: False
Has Adverse Events: False

Brief Title: Aiming for a Better Understanding and Improvement of the Diagnosis and Prognosis of Patients With Disorders of Consciousness Through Multimodal Observations
Sponsor: Paris Brain Institute (ICM)
Organization:

Study Overview

Official Title: A Multimodal Approach to Personalized Tracking of Evolving State-Of-Consciousness in Brain- Injured Patients
Status: UNKNOWN
Status Verified Date: 2021-03
Last Known Status: RECRUITING
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: PerBrain
Brief Summary: Improved treatment of severe brain injuries has resulted in increased survival rates. While some of these patients regain consciousness after a transient state of coma, others may develop a disorder of consciousness (DoC). Diagnosis of DoC currently relies on standardized behavioral assessment. The importance of accuracy in such diagnosis cannot be overstated, as it guides critical decisions on treatment (including pain management), and could underlie end-of-life decisions. Despite this importance, current behavioral diagnosis often fails, if because of the major sensory and motor deficits associated with DoC, or because of the heterogeneous etiology and pathophysiology associated with the condition. Finally, the need for accurate diagnosis and prognosis transcends the needs of the patients alone: caregiving of these patients is very stressful, principally for the large uncertainty associated with them. Thus, more accurate diagnosis and prognosis provide major relief for caregivers, and paradoxically, even if the news is not "good". For all these reasons it is critical to developing personalized diagnosis and prognosis prediction tools that permit a stratified analysis at the single-patient level. The PerBrain Project will benefit from the multidisciplinary partners' expertise, and the unique opportunity to perform longitudinal assessments in four clinical sites through both established and novel electrophysiological, neuroimaging, and physiological techniques. Based on the collected data, the investigators will develop a multimodal personalized diagnostic tool for DoC patients using state-of-the-art computational tools, such as machine learning, in order to better determine the current state (diagnosis) and future outcome (prognosis). The overall aim of this project will provide for a better understanding of the pathophysiological mechanisms in DoC, which will, in turn, allow personalized rehabilitation strategies, and improved single-patient predictions of state and prognosis.
Detailed Description: None

Study Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?:

Secondary ID Infos

Secondary ID Type Domain Link View
01KU2003 OTHER_GRANT Federal ministry for education and research (Germany) View