Measuring Brain Complexity to Detect and Predict Recovery of Consciousness in the ICU
NCT ID: NCT06568536
Last Updated: 2025-05-15
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
120 participants
INTERVENTIONAL
2024-11-08
2029-08-01
Brief Summary
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Detailed Description
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Through this research, we aim to demonstrate that:
* TMS-EEG can detect 95% of conscious patients who are defined as conscious by a combination of tests that aim to detect overt and covert consciousness.
* TMS-EEG measurements can predict 6-month outcomes on the Disability Rating Scale (DRS) in patients in an acute vegetative state, controlling for age, Glasgow Coma Scale (GCS) score, and injury mechanism
All participants will undergo repeated behavioral assessments, task-based electroencephalography (EEG), and TMS-EEG. Of note, conventional brain magnetic resonance imaging (MRI) and task-based functional MRI are optional.
Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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Patients with acute disorders of consciousness receiving TMS-EEG
Adults with acute severe traumatic brain injury who undergo advanced neuroimaging and electrophysiological studies while in the intensive care unit and are followed for 6 months post-injury.
Repeated behavioral assessments, functional electroencephalography and brain imagery, TMS-EEG
The presence of consciousness will be classified considering the highest level of consciousness revealed by repeated behavioral examinations, functional electroencephalography (task-based EEG), and functional brain imagery (task-based fMRI). Based on the results of this composite standard reference, we will evaluate the diagnostic and prognostic accuracy of TMS-EEG measurements of brain complexity
Interventions
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Repeated behavioral assessments, functional electroencephalography and brain imagery, TMS-EEG
The presence of consciousness will be classified considering the highest level of consciousness revealed by repeated behavioral examinations, functional electroencephalography (task-based EEG), and functional brain imagery (task-based fMRI). Based on the results of this composite standard reference, we will evaluate the diagnostic and prognostic accuracy of TMS-EEG measurements of brain complexity
Eligibility Criteria
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Inclusion Criteria
2. Functionally independent at baseline
3. Acquired brain injury within the last 28 days
4. Disorder of consciousness, as defined by no instance of following commands (i.e., Glasgow Coma Scale motor score = 6) on two or more consecutive assessments
5. Continuous intravenous sedation able to be discontinued for at least 10 minutes
6. ICU clinicians approve safe placement of 64-electrode EEG cap on the scalp
Exclusion Criteria
2. No head CT scan from current hospital admission AND contraindications for MRI: conductive, ferromagnetic, or other magnetic-sensitive metals implanted in the head (e.g., cochlear implants, implanted electrodes/stimulators, aneurysm clips or coils, stents, bullet fragments)
3. Medical instability, restlessness, or other factors identified by the PI that would either prevent safe participation or compromise data acquisition
4. Hemicraniectomy
If a subject meets a contraindication for MR imaging, the subject may participate in all other aspects of the study except MRI.
18 Years
ALL
No
Sponsors
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National Institute of Neurological Disorders and Stroke (NINDS)
NIH
Massachusetts General Hospital
OTHER
Responsible Party
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Brian L. Edlow, M.D.
Director, Laboratory for NeuroImaging of Coma and Consciousness (NICC)
Principal Investigators
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Brian L. Edlow, MD
Role: PRINCIPAL_INVESTIGATOR
Massachusetts General Hospital
Locations
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Massachusetts General Hospital
Boston, Massachusetts, United States
UW Health University Hospital
Madison, Wisconsin, United States
Countries
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Central Contacts
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Facility Contacts
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Melanie Boly, MD, PhD
Role: primary
Other Identifiers
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2024P001805
Identifier Type: -
Identifier Source: org_study_id
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