Mental Health Diagnostics Reimagined
Our Mission
We empower organizations and institutions with the capabilities to more effectively identify
mental health challenges to ensure patients, team members, and constituents receive the care they
need. Toggle optimizes the lives we live through automated data and insights about
mental health. Our current focus is (1) self-destructive behavior (suicidal thought and behavior),
(2) depression, and (3) anxiety. Toggle as an organization considers itself bound by the same
Hippocratic Oath as US physicians and is bound by the oath’s mandate to do no harm. As such,
Toggle works with organizations that ethically put the mental health of individuals first.
The Science
Toggle offers a new form of artificial intelligence that merges advances in computational cognition with machine learning. We call it Comp Cog AI, and it predicts anxiety, depression, and suicidal planning using a single 3-minute assessment involving images. Its accuracy is cutting edge against peer-reviewed findings for these three mental health challenges (75-95% accuracy range across conditions) and is immune to manipulation or gaming, ensuring highly repeatable results. Fast, accurate, inexpensive, and trans-dimensional (multiple illness from one test), Toggle’s solution is built on the latest developments in neuroscience and supported by deep academic review and competitive federal funding.
Toggle’s Core Team by the Numbers
- 14+ MD/PhDs research team
- 70+ total years in science
- $30M+ research and investment
- >1000 published articles
- >56,000 research citations
- 83% average accuracy to ground truth
- 15,000+ subjects studied
- 1.4T behaviors that can be predicted
The Digital Experience
The ToggleAI solution is comprised of two parts: a picture rating survey that participants can take through mobile or web and a web portal that administrators can use to review and assess results.
The solution is designed and developed to be cost-effective, cloud infrastructure and platform agnostic, and easy to deploy.
Grants & Research Partners
Field Study Partners
Publications
Kim BW, Kennedy DN, Lehar J, Lee MJ, Blood AJ, Lee S, Perlis RH, Smoller JW, Morris R, Fava M, Breiter HC. Recurrent, robust and scalable patterns underlie human approach and avoidance. PLoS ONE, 2010; 5(5):e10613
Lee S, Lee MJ, Kim BW, Gilman J, Kuster J, and Blood AJ, Kuhnen C, Breiter HC. (2015) The commonality of loss aversion across multiple domains. PLoS ONE. Sep 22;10(9):e0135216. doi: 10.1371/journal.pone.0135216. PMID: 26394306
Livengood SL, Sheppard JP, Kim BW, Malthouse F, Bourne J, Barlow A, Lee MJ, Marin V, O’Connor KP, Csernansky JG, Block MP, Blood AJ, and Breiter HC. (2017). Keypress-based musical preference is both individual and lawful. Front Hum Neurosci. 11:136. Doi: 10.3389/fnins.2017.00136. eCollection 2017. PMID:28512395
Viswanathan V, Sheppard JP, Kim BW, Plantz CL, Ying H, Lee MJ, Raman K, Mulhern F, Block M, Calder B, Lee S, and Mortensen D*, Blood AJ, Breiter HC, for the PGP. (2017). A quantitative relationship between signal detection in attention and approach/avoidance behavior. Behavior. Front. Psychol. 8:122. doi: 10.3389/fpsyg.2017.00122 (*Recipient of Nobel Prize in Economics in 2010)
Perlis RH, Holt D, Smoller JW, Lee S, Kim BW, Lee MJ, Sun M, Makris N, Kennedy D, Rooney K, Dougherty DD, Hoge R, Rosenbaum JF, Fava M, Gusella J, Gasic GP, Breiter HC. Association of a polymorphism near CREB1 with differential aversion processing in the insula of healthy participants. Archives Gen Psych 2008;65(8):882-92.
Gasic GP, Smoller JW, Perlis RH, Sun M, Lee S, Kim BW, Lee MJ, Holt DJ, Blood AJ, Makris N, Kennedy DK, Hoge RD, Calhoun J, Fava M, Gusella JF, Breiter HC. BDNF, relative preference, and reward circuitry responses to emotional communication. AJMG., Part B, Neuropsych Genetics 2009; 150B(6):762-81
Makris N, Gasic GP, Kennedy DK, Hodge SM, Kaiser JR, Lee MJ, Kim BW, Blood AJ, Evins AE, Seidman LJ, Iosifescu D, Lee S, Baxter C, and Perlis RH, Smoller JW, Fava M, Breiter HC. Cortical thickness abnormalities in cocaine addiction – a reflection of both drug use and a pre-existing disposition to drug abuse? Neuron 2008; 60(1):174-88
Viswanathan V, Lee S, Gilman JM, Kim BW, Lee N, Chamberlain L, Livengood S, Raman K, Lee MJ, Kuster J, Stern D, and Calder B, Mulhern FJ, Blood AJ, Breiter HC. (2015) Age-related striatal BOLD changes without changes in behavioral loss aversion. Front Hum Neurosci. 9:176. doi: 10.3389/fnhum.2015.00176. eCollection 2015. PMCID: PMC4415398
Woodward SF, Bari S, Vike NL, Lalvani S, Stetsiv K, Kim BW, Stefanopoulos L, Maglaveras N, and Breiter HC, Katsaggelos AK. (In Press, 2022). Anxiety, Post-COVID-Syndrome-related depression, and suicidal thinking and behavior in COVID-19 survivors. JMIR Formative Research
Bari S, Vike NL, Stetsiv K, Woodward S, Lalvani S, Stefanopoulos L, Kim BW, Maglaveras N, and Breiter HC, Katsaggelos AK. (In Press, 2022). Psychotic symptoms, violent ideation, and disruptive behavior are more prevalent in a population with SARS-CoV-2 infection: a preliminary study. JMIR Formative Research
Team
