The science behind Circl

Using visually evoked potentials to maximize your brain performance and health.

Circl helps you understand and track visually evoked potentials to improve your brain health and performance.

Conveniently and accurately measures your brain function wherever and whenever you want.

Improving your brain performance improves every other aspect of your life.

  • Happiness
  • Health Longevity
  • Career success
  • Sports
  • Your brain improvement solutions should be unique and customized to you.

    Circl helps you find the unique performance-enhancing activities your brain requires.

    Using direct brainwave-sensing technology, advanced analytical software, and a focus on using hard science to get real results, our team has developed the most accurate, at-home brain performance tracking system you can own.

    Circl evaluates your brain performance by tracking how your brain processes visual stimuli.

    Visually Evoked Potentials

    Our brains are constantly evaluating visual stimuli as we perceive the world around us. In fact, up to 50% of our cortical neurons are engaged in this task at any given moment

    1. As the brain perceives visual information, it produces a visually evoked potential (VEP), which is an easily-identifiable change in our brainwaves

    2. This robust and repeatable change in our brainwaves has been extensively studied for over 50 years in the context of cognitive health and performance.

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    From VEPs, we can calculate how many of your brain cells are being recruited and coordinated to make sense of reality, and how fast that process occurs. This method is well established in academic literature as the most accurate measure of overall cognitive performance.


    Visually evoked potentials are measured via electroencephalography (EEG). EEG is the measurement of the voltage fluctuations at our scalp that result from the ionic currents within billions of brain cells (3). These voltage fluctuations are commonly referred to as brainwaves.

    Mobile EEG

    Over the last decade, mobile EEG has revolutionized our ability to bring the benefits of EEG out of the laboratory and into every day life (4). Mobile EEG headsets have been shown to capture VEPs with a degree of accuracy comparable to instrumentation used in neuroscientific laboratories, and have led to novel advances in brain research (5, 6).


    Circl is continuing to advance mobile EEG technology. Our headset is specifically designed to capture visually evoked potentials as you perform a simple neuroscience task on your mobile device. During this 8 min task, the system records how your brainwaves respond to visual stimuli. This process is a mobile version of a widely used neuroscience research paradigm that has been used in research laboratories for over 50 years.

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    Why You Need to Know

    You can consistently improve your brain's ability to recruit cells to process information, it will make you smarter, happier, and more resilient against age- related cognitive decline (7).

    If your brain's ability to recruit cells to process information decreases, you may suffer from cognitive fatigue, burn out, brain fog, concussions, PTSD, and neurodegenerative disease (8, 9, 10, 1, 12, 13, 14, 15).

    To protect your brain health, it is vital to develop and consistently maintain the right habits. To ensure that you stay on the right track, regular monitoring is essential.

    1. RECORD

    Play a simple, 8-minute game as your brainwaves are measured. 

    2. ANALYZE

    See how your brain is performing based on advanced neuroscience analytics. 

    3. IMPROVE

    Track your brain health trends over time in response to your lifestyle. 

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    How We Help

    It is important to us at Circl that we effect real change. Our system provides the monitoring that is necessary to help you adapt your strategies to changing circumstances.

    Conclusion

    With Circl, assessing your brain performance is easy using our mobile brainwave-sensing technology while you are playing a simple game on your phone or tablet. With advanced brainwave analysis you can try new strategies and quickly validate if your brain performance is improving. Once you establish your baseline, you will be able to understand how your brain function is trending over the long run.

    References

    1. The Minds Eye.
      https://www.rochester.edu/pr/Review/V74N4/0402_brainscience.html#:~text=%E2%80%9CMore%2
      Othan%2050%20percent%20of,brain%20as%20a%20whole%20works.%E2%80%9D
    2. Creel DJ. Visually evoked potentials. Handb Clin Neurol. 2019;160:501-522. doi: 10.1016/B978-0-444-
      64032-1.00034-5. PMID: 31277872.
    3. Niedermeyer E;. da Silva FL.. (2004). Electroencephalography: Basic Principles, Clinical Applications, a n d Related Fields. Lippincott Williams & Wilkins. ISBN 978-0-7817-5126-1.
    4. Lin CT, Ko LW, Chang CJ, Wang YT,ChungCH, Yang FS, et al. (2009). "Wearable and Wireless Brain- Computer Interface and Its Applications", Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, Lecture Notes in Computer Science, Springer Berlin Heidelberg, vol. 5638, pp. 741-748, doi:10.1007/978-3-642-02812-0_84, ISBN 978-3-642-02811-3, S2CID 14515754.
    5. Krigolson,O. E., Williams, C. C., Norton, A., Hassall, C. D., & Colino, F. L. (2017). Choosing MUSE: Validation of a low-cost, portable EEG system for ERP research. Frontiers in Neuroscience: Brain Imaging Methods, 109 (11).
    6. Krigolson, O. E,. Hammerstrom, M. R,. Abimbola, W., Trska, R,. Hecker, K.G., Wright, B. W., &Binsted, B. (2021). Usinq Muse: Rapid Mobile Assessment of Brain Performance. Frontiers in Neuroscience.
    7. R.E. Dustman, R.Y. Emmerson, R.O. Ruhling, D.E. Shearer, L.A. Steinhaus, S.C. Johnson, H.W. Bonekat, J.W. Shigeoka, Age and fitness effects on EEG, ERPs, visual sensitivity, and cognition, Neurobiology of Aging, Volume 1, Issue 3, 1990, Pages 193-200, ISSN 0197-4580
    8. Krigolson, O. E., Hammerstrom, M. R., Abimbola, W., Trska, R., Hecker, K.G., Wright, B. W., & Binsted, B. (2021). Using Muse: Rapid Mobile Assessment of Brain Performance. Frontiers in Neuroscience.
    9. Luijtelaar, G. V., Verbraak, M,. Bunt, M. V. D., Keijsers, G., & Arns, M. (2010). EEG findings in burnout patients. The Journal of neuropsychiatry and clinical neurosciences, 22(2), 208-217.
    10. Frodl, T,. Hampel, H., Juckel, G., Bürger, K,. Padberg, F., Engel, R. R,. . &Hegerl, U. (2002). Value of event- related P300 subcomponents in theclinical diagnosis of mildcognitive impairment and Alzheimer's Disease. Psychophysiology, 39(2), 175-181.
    11. Bonanni, L,. Franciotti, R., Onofrj, V., Anzellotti, F., Mancino, E., Monaco, D., . &Onofri, M. (2010). Revisiting P300 cognitive studies for dementia diagnosis: early dementia with Lewybodies (DB) and Alzheimer disease (AD). Neurophysiologie Clinique/Clinical Neurophysiology, 40 (5-6), 255-265.
    12. Lavoie, M. E,. Dupuis, F., Johnston, K. M., Leclerc, s., &Lassonde, M. (2004). Visual p300 effects beyond symptoms in concussed college athletes. Journal of Clinical and Experimental Neuropsychology, 26(1), 55-73.
    13. Faruque Reza, M., Ikoma, K., Ito, T., Ogawa, T., &Mano, Y. (2007). N200 latency and P300 amplitude in depressed mood post-traumatic brain injury patients. Neuropsychological rehabilitation, 17(6), 723- 734.
    14. Araki, T., Kasai, K,. Yamasue, H,. Kato, N., Kudo, N., Ohtani, T. . . . & Iwanami, A. (2005). Association between lower P300 amplitude a n d smaller anterior cingulate cortex volume in patients with posttraumatic stress disorder: a study of victims of Tokyo subway sarin attack. Neuroimage, 25(1), 43-50.
    15. Wang, H., Chang, W., &Zhang, C. (2016). Functional brain network and multichannel analysis for the P300-based brain computer interface system of lying detection. Expert Systems with Applications, 53, 117-128.