The Science Behind Focus

EyeGuide Focus is a proprietary brain activity monitoring platform, based on proven scientific research, which provides fast, reliable measurements in 10 seconds.

Scientific peer-reviewed literature features extensive studies which report on establishing the use of eye tracking of visual stimuli to assess user attention and cognitive performance.

As Heitger, et al point out, while other neuropsychological tools for mTBI/concussion detection often fail or have particular limitations, “Studies in populations with neural injury and neurodegenerative disorders have shown that eye movement control relates closely to the functional integrity of the brain…” (p. 2851). This is why, Heitger, et al continue, “eye movement paradigms have been routinely used in the field of cognitive neuroscience to study the role of factors such as attention, working memory, response inhibition, speed of information processing, predictive behaviour and (motor) planning” (p. 2851).

Users who can visually keep steady, accurate attention on a moving object in their environment, what Maruta et al characterize as Dynamic Visio-Motor Synchronization (DVS), likely suffer from no impairment. But if users, with acceptable visual acuity, cannot keep attention on a moving object in a normal way, then the failure to do so may indicate, along with other measurements part of mTBI/concussion detection protocol, that there is possible neurological impairment. In fact, Maruta’s 2012 study, since confirmed by other similar studies, showed that mTBI subjects “demonstrated DVS scores worse than 95% of normal subjects.”


EyeGuide Focus measures “smooth pursuit” or dynamic visio-motor synchronization (DVS).


The smooth pursuit test is the fastest of tests for measuring impairment of attention via eye tracking.

Lower scoring indicates greater DVS accuracy or smoother pursuit. Higher scoring indicates poor DVS accuracy or an inability on the part of the user to follow smoothly (by location and time) the reticle or focus of attention as it moves across the screen, transversing both hemispheres of the brain.

Beyond monitoring brain activity, Focus also provides data that can be used by healthcare professionals as they monitor a patient's symptoms. Rather than guess the trending of a person's brain activity, Focus, because of its speed of use, can be implemented quickly, even daily. As the person progresses, Focus can provide complementary data, test after test.

Case Study of “Johnny”

To demonstrate how Focus works as a brain health management system in a realistic setting, here is the story of Johnny. Johnny’s name along with other personally identifying information have been changed. Johnny was a 7th grade football player who suffered an injury at practice. As the figure shows, this injury occurred almost five weeks after Johnny had recorded a healthy baseline Focus score:

Athletic trainers tested Johnny using Focus, after injury, along with other tools as part of their brain health protocols. Later Johnny was sent to a physician who subsequently diagnosed Johnny with a concussion.


The athletic trainers then marked Johnny’s profile, triggering the capability of Focus at that point to track Johnny’s return to play. Over the subsequent month Johnny was tested two more times with Focus as athletic trainers followed their return to play protocols and physician guidance. The value of Focus as a tool for showing a healthy recovery, for everyone involved including Johnny, can be seen in the following figure:

Starting with the low point on September 6 when Johnny recorded a score 7 levels below a prior healthy baseline, Johnny’s improvement was tracked. A follow up Focus test one week later showed improvement but was still below his original baseline.

Finally, a final test on October 1 showed that Johnny recorded a Focus score in the same threshold level as the initial baseline. And with that, other tools, and physician clearance, Johnny was returned to play.

1Muri R.M., Nyffeler T. Neurophysiology and neuroanatomy of reflexive and volitional saccades as revealed by lesion studies with neurological patients and transcranial magnetic stimulation (TMS). Brain Cognition Vol. 68: 284–92 (2008).

Muri R.M., Rivaud S., Vermersch A.I., Leger J.M., Pierrot-Deseilligny C. Effects of transcranial magnetic stimulation over the region of the supplementary motor area during sequences of memory-guided saccades. Experimental Brain Research Vol. 104: 163–6 (1995).

Pierrot-Deseilligny C., Milea D., Muri R.M. Eye movement control by the cerebral cortex. Current Opinion in Neurobiology Vol. 17: 17–25 (2004).

Pierrot-Deseilligny C., Muri R.M., Ploner C.J., Gaymard B., Demeret S., Rivaud-Pechoux S. Decisional role of the dorsolateral prefrontal cortex in ocular motor behaviour. Brain Vol. 126: 1460–73 (2003).

Pierrot-Deseilligny C., Muri R.M., Ploner C.J., Gaymard B., Rivaud-Pechoux S. Cortical control of ocular saccades in humans: a model for motricity. Progress in Brain Research Vol. 142: 3–17 (2003).

Samadani, U. (2015). A new tool for monitoring brain function: eye tracking goes beyond assessing attention to measuring central nervous system physiology. Neural Regeneration Research, 10(8), 1231–1233.

Sharpe J.A. Neurophysiology and neuroanatomy of smooth pursuit: Lesion studies. Brain Cognition Vol. 68: 241–54 (2008).

2Heitger M., Jones R., Macleod A., Snell D., Frampton C., Anderson. T. Impaired eye movements in post-concussion syndrome indicate suboptimal brain function beyond the influence of depression, malingering or intellectual ability. Brain. Vol. 132: 2850-2870 (2009)

3 Maruta J., Tong J., Lee S., Iqbal Z., Schnonberger A., Ghajar J. Eye-Trac: monitoring attention and utility for mTBI. Proc. SPIE 8371, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX, 83710L (May 1, 2012); doi: 10.1117/12.927790.