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From Blood Draws to VR Headsets: 7 Technologies Reshaping Concussion Detection

Seven innovations changing the landscape — what each does, where the evidence stands, and what's actually available today.

6 min read

Concussion detection technology is evolving rapidly. Here are seven innovations changing the landscape — what each does, where the evidence stands, and what’s actually available today versus still in research.

1. Virtual reality assessment

VR systems test balance, cognitive function, and vestibular processing simultaneously in immersive environments that mimic real-world demands. Research published in Virtual Reality (Springer, 2025) has reported combined VR metrics achieving 95.8% sensitivity and 96.1% specificity for concussion detection. A Nature study using the BioVRSea platform (Iceland) combined VR with EEG, EMG, and force plates. Status: primarily research, limited clinical availability.

2. Eye tracking technology

Devices like EyeBOX use infrared cameras to measure involuntary eye movement patterns — specifically vergence and saccadic function — that change after brain injury. EyeBOX has 16 peer-reviewed publications and FDA clearance. Oculogica’s device targets automated, objective oculomotor assessment. Status: available clinically; evidence growing.

3. Blood biomarkers

Abbott’s i-STAT TBI Plasma test received FDA clearance in 2024 for measuring GFAP and UCH-L1 proteins from a fingerstick blood sample in approximately 15 minutes. It helps determine whether a head injury patient needs a CT scan. Status: FDA-cleared, available in emergency departments; does not diagnose concussion or replace baseline testing.

4. Smartphone balance apps

Sway Medical uses built-in phone accelerometers to quantify postural sway during the mBESS protocol. FDA-cleared and used by numerous collegiate athletic programs. Status: commercially available and clinically validated.

5. Machine learning classifiers

AI algorithms integrate multi-domain data (cognitive scores, balance metrics, eye tracking, symptoms) to generate composite concussion probability scores. Research published in Frontiers in Neurology has shown promise. Status: research stage, not yet in routine clinical use.

6. Quantitative EEG (qEEG)

Measures brain electrical activity patterns that differ between healthy and concussed states. Companies like BrainScope have developed portable EEG devices for sideline use. Status: limited clinical adoption; regulatory challenges.

7. Saliva biomarkers

Non-invasive alternative to blood biomarkers. Research published in the British Journal of Sports Medicine has identified microRNA signatures in saliva that correlate with concussion. Status: early research, not yet clinically available.

How we approach new technology

At Headquarters, we stay current with emerging technologies and integrate validated tools into our baseline protocols as the evidence supports their clinical use. We’re technology-forward but evidence-first. See our deeper pieces on Abbott’s blood biomarker test, eye tracking marketing vs. science, and what AI is actually doing in concussion care.

Frequently asked questions

FAQ

What VR concussion metrics are supported by research?
A study in Virtual Reality (Springer, 2025) reported combined VR metrics achieving 95.8% sensitivity and 96.1% specificity. The BioVRSea platform (published in Nature's Scientific Reports) combines VR with EEG, EMG, and force plates. Most VR systems are still research-stage.
What is Abbott's i-STAT TBI Plasma test?
FDA-cleared in 2024, it measures GFAP and UCH-L1 proteins from a fingerstick blood sample in ~15 minutes. It helps determine whether a head injury patient needs a CT scan. It does not diagnose concussion or replace baseline testing.
What eye-tracking device has the strongest evidence base?
EyeBOX (Oculogica) has 16 peer-reviewed publications and FDA clearance. Its evidence base has been built through manufacturer-sponsored and independent research.
Which smartphone balance app is FDA-cleared?
Sway Medical — FDA-cleared and used by numerous collegiate athletic programs. Uses built-in phone accelerometers to quantify postural sway during the mBESS protocol.
What's the current state of qEEG and saliva biomarkers?
qEEG (quantitative EEG) has limited clinical adoption and faces regulatory challenges. Saliva microRNA biomarkers, reported in the British Journal of Sports Medicine, are early research and not yet clinically available.

Technology-forward, evidence-first.

Baseline protocols that integrate validated new tools as the science supports them — no marketing-hype adoption.