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

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

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06083441
Enrollment
200
Registered
2023-10-16
Start date
2019-06-16
Completion date
2025-08-31
Last updated
2023-10-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Acute Brain Injury, Consciousness, Loss of, Disorder of Consciousness, Trauma, Brain, Traumatic Brain Injury

Keywords

Consciousness, Acute brain injury, Consciousness Recovery, Consciousness Measurement, Facial Motion Analysis, Microscopic movements, Traumatic Brain Injury

Brief 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. 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.

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.

Interventions

DIAGNOSTIC_TESTSeeMe

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.

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

Sponsors

Stony Brook University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 85 Years
Healthy volunteers
Yes

Inclusion criteria

* 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.)

Exclusion criteria

* 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

Design outcomes

Primary

MeasureTime frameDescription
Detection of Command FollowingMeasured Daily from enrollment until subject is following commands or date of death of any cause, whichever comes first, up to 60 days.Length of time until an intervention is able to detect that a subject is following commands

Countries

United States

Contacts

Primary ContactSima Mofakham, PhD
sima.mofakham@stonybrookmedicine.edu631-444-1278
Backup ContactCharles Mikell, MD
charles.mikell@stonybrookmedicine.edu631-444-7328

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026