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Disorder of ConsciousnessNCT06083441

SeeMe: An Automated Tool to Detect Early Recovery After Brain Injury

An observational study of Disorder of Consciousness and Consciousness, Loss of, run by Stony Brook University at 1 site in United States.

Unknown status

Status not confirmed. The sponsor has not verified this record for over two years, so it may be out of date.

Official record
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Trial summary

Early prediction of outcomes after acute brain injury (ABI) remains a major unsolved problem. Presently, physicians make predictions using clinical examination, traditional scoring systems, and statistical models. Read more about this study

Who is it for?
Ages 18 to 85 yearsHealthy volunteers can take part
What is being tested?
SeeMe and Coma Recovery Scale-Revised (CRS-R)
How many people
200 participants
Where
1 siteUnited States
Study dates
16 Jun 2019to Aug 2025
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 to 85 years
  • All sexes
  • Healthy volunteers accepted
  • Adult, Older adult

Study population: Healthy volunteers: Adults 18-85 years old with no history of a neurologically debilitating disease (i.e., dementia, glioblastoma, Alzheimer's, multiple sclerosis, major vessel stroke, previous severe TBI, etc.) that are recruited via flyer and word of mouth Patients in a coma: Adults 18-85 years old with no history of a neurologically debilitating disease that are comatose (GCS < 9) due to an acute brain injury. Patients in a comatose state will be identified during neurosurgical consultation in the hospital by the study physicians

Who may be able to join

  • 18 years old or older
  • Healthy Volunteers
  • Comatose patients (patients with a GCS < 9) due to an acute brain injury (traumatic brain injury, spontaneous subarachnoid hemorrhage, severe meningoencephalitis, etc.)

Who cannot join

  • A history of a neurologically debilitating disease (i.e., dementia, glioblastoma, Alzheimer's, multiple sclerosis, major vessel stroke, previous severe TBI, etc.)
  • Any other medical condition that, in the judgment of the investigator, makes participation in the study unsafe.
  • Pregnant subjects
  • Comatose patients without a legal authorized representative (LAR)
  • Prisoners or wards of the state
  • Persons who have not attained the legal age for consent to treatments or procedures

Trial locations and contacts

1 site in 1 country.

United States1 site, 1 recruiting
  • Stony Brook University Hospital

    Stony Brook, New York, 11794

    Sima Mofakham, PhD, 631-444-7328, sima.mofakham@stonybrookmedicine.edu

    Charles Mikell, MD, 631-444-7328, charles.mikell@stonybrookmedicine.edu

    Recruiting

Other trials in United States

About this study

Official title: SeeMe: A Pilot Study Developing Predictive, Real-Time Consciousness Assessment Metrics Based on Facial Expression Changes

Early prediction of outcomes after acute brain injury (ABI) remains a major unsolved problem. Presently, physicians make predictions using clinical examination, traditional scoring systems, and statistical models. In this study, we will use a novel technique, "SeeMe," to objectively assess the level of consciousness in patients suffering from comas following ABI. SeeMe is a program that quantifies total facial motion over time and compares the response after a spoken command (i.e. "open your eyes") to a pre-stimulus baseline.

Read the detailed description

Acute brain injury (ABI) recovers at a variable rate. While some progress has been made in predicting long-term outcomes in traumatic brain injury (TBI) and intracranial hemorrhage, there is a critical need for short-term prediction of outcomes, in the first days and weeks after injury. With advances in machine learning and artificial intelligence, there is a growing interest in facial analysis and its application in neurological and psychiatric disorders. Here we describe "SeeMe," a novel automated objective measure of consciousness based on microexpression analyses in response to auditory commands. In measuring the smallest muscular movements undetectable by clinical observation, this technique has the high spatial resolution needed to detect hidden signs of recovery and the high temporal resolution needed to study neural circuits.

Being tested
SeeMe, Coma Recovery Scale-Revised (CRS-R)
Keywords
Consciousness, Acute brain injury, Consciousness Recovery, Consciousness Measurement, Facial Motion Analysis, Microscopic movements, Traumatic Brain Injury
Medical subject headings
Consciousness Disorders, Unconsciousness, Brain Injuries, Traumatic, Brain Injuries

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • SeeMeDiagnostic test

    Also called SeeMe session

    A video-recorded SeeMe command following assessment by a trained professional once a day Each session involves three command sets that are played from an audio recording 10 times over the course of 8 minutes. These commands are "Stick out your tongue", "Open your eyes", and "Show me a smile" Each command set is recorded separately for a total of 3 videos per session. These videos are then analyzed by SeeMe to detect if subjects are responding to commands.

  • Coma Recovery Scale-Revised (CRS-R)Diagnostic test

    A video-recorded CRS-R score assessment by a trained professional once a day. A score of 10 or greater, an auditory score >2, or an arousal score > 0 means that a subject is responding to commands

Study groups in NCT06083441
Study groupRoleWhat they receive
Acute Brain Injury (ABI)Patients that have suffered an ABI resulting in Coma (Glasgow Coma Scale (GCS) < 9) will undergo SeeMe and CRS-R assessment once a day until hospital discharge
Receives: Diagnostic Test: SeeMe; Diagnostic Test: Coma Recovery Scale-Revised (CRS-R)
ControlHealthy subjects will undergo SeeMe and CRS-R assessment once.
Receives: Diagnostic Test: SeeMe; Diagnostic Test: Coma Recovery Scale-Revised (CRS-R)

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Detection of Command Following

    Length of time until an intervention is able to detect that a subject is following commands

    Measured: Measured Daily from enrollment until subject is following commands or date of death of any cause, whichever comes first, up to 60 days.

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted16 Oct 2023
  2. Study start16 Jun 2019
  3. Primary completionJun 2025 (estimated)
  4. Study completionAug 2025 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Prospective
Enrolment
200 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT06083441
Sponsor's protocol ID
IRB2019-00199
Status last verified
Oct 2023
First submitted
4 Oct 2023
Last updated
16 Oct 2023
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Publications

  • Cheng F, Yu J, Xiong H. Facial expression recognition in JAFFE dataset based on Gaussian process classification. IEEE Trans Neural Netw. 2010 Oct;21(10):1685-90. doi: 10.1109/TNN.2010.2064176. Epub 2010 Aug 19.

    PubMed 20729164
  • Zhao Y, Xu J. A Convolutional Neural Network for Compound Micro-Expression Recognition. Sensors (Basel). 2019 Dec 16;19(24):5553. doi: 10.3390/s19245553.

    PubMed 31888182
  • Valstar MF, Pantic M. Fully automatic recognition of the temporal phases of facial actions. IEEE Trans Syst Man Cybern B Cybern. 2012 Feb;42(1):28-43. doi: 10.1109/TSMCB.2011.2163710. Epub 2011 Sep 15.

    PubMed 21926026
  • Chouinard B, Scott K, Cusack R. Using automatic face analysis to score infant behaviour from video collected online. Infant Behav Dev. 2019 Feb;54:1-12. doi: 10.1016/j.infbeh.2018.11.004. Epub 2018 Nov 30.

    PubMed 30508782
  • Saadon JR, Yang F, Burgert R, Mohammad S, Gammel T, Sepe M, Rafailovich M, Mikell CB, Polak P, Mofakham S. Real-time emotion detection by quantitative facial motion analysis. PLoS One. 2023 Mar 10;18(3):e0282730. doi: 10.1371/journal.pone.0282730. eCollection 2023.

    PubMed 36897921
  • Kalmar K, Giacino JT. The JFK Coma Recovery Scale--Revised. Neuropsychol Rehabil. 2005 Jul-Sep;15(3-4):454-60. doi: 10.1080/09602010443000425.

    PubMed 16350986

Questions about this trial

What is this clinical trial studying?

An observational study of Disorder of Consciousness and Consciousness, Loss of, run by Stony Brook University at 1 site in United States.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 3 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: status not confirmed, as of the sponsor's last update on 16 Oct 2023. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

Results are not available in the source record.

How can a doctor refer a patient or contact the research team?

Contact Sima Mofakham, PhD (631-444-1278, sima.mofakham@stonybrookmedicine.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Detection of Command Following (time frame: Measured Daily from enrollment until subject is following commands or date of death of any cause, whichever comes first, up to 60 days.). It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT06083441, which also lists 6 linked publications.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 16 Oct 2023.

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