State of the art online assessment technology
Cognitron is a flexible platform for assessing cognition and mental health remotely via web browsers and mobile applications.
The cognitive tests are specifically designed to run online without the need for supervision on practically any common home computer device, enabling very large scale and longitudinal studies to be conducted with minimal cost and effort.
The tests have demonstrated greater sensitivity than common supervised assessment scales to cognitive differences in a variety of clinical populations, including subtle changes that occur in early and prodromal stages of neurological conditions.
Assesment batteries can be configured for specific studies that sequence different combinations of cognitive tests and questionnaires as well as collecting actigraphy, free text and speech data.
The platform can automatically generate performance reports for participant feedback and diagnostic reports that can be sent directly into healthcare data systems.
Cognitron has been used to assess >500,000 people and is supporting a rapidly growing array of scientific studies, cohorts, registers and trials as well as being applied in the healthcare setting.
Over 500,000 individuals assessed to date
100+ extensively validated cognitive tasks
Support for multiple languages
>30,000 participants tested in parallel
Integrated into healthcare data systems
Used globally for healthcare and research
Cognitron Discovery
Our flexible online cognitive and behavioral testing platform with >100 scientifically validated cognitive and neuropsychological tests, supported by extensive published literature. Custom tests and questionnaires can be added on request.
Cognitron Health
Our extension of Cognitron for healthcare offers remote clinical assessments. Patients complete questionnaires and perform cognitive tests prior to their consultation, with autogenerated reports immediately saved to healthcare data systems.
Read some of our recent published research outputs
Cognition and Memory after Covid-19 in a Large Community Sample. Hampshire et al. New England Journal of Medicine. 2024. DOI: https://doi.org/10.1056/NEJMoa2311330
Post-hospitalisation COVID-19 cognitive deficits at one year are global and associated with elevated brain injury markers and grey matter volume reduction. Wood et al. Nature Medicine. 2024. DOI: https://doi.org/10.1038/s41591-024-03309-8
Online cognitive monitoring technology for people with Parkinson’s disease and REM sleep behavioural disorder. Bălăeţ et al. npj Digital Medicine. 2024. DOI: https://doi.org/10.1038/s41746-024-01124-6
Changes in memory and cognition during the SARS-CoV-2 human challenge study. Trender et al. EClinicalMedicine. 2024. DOI: https://doi.org/10.1016/j.eclinm.2024.102842
Validation of an abbreviated Big Five personality inventory at large population scale: Psychometric structure and associations with common psychiatric and neurological disorders. Kang et al. Comprehensive Psychiatry. 2024. DOI: https://doi.org/10.1016/j.comppsych.2024.152514
Cognitive and psychiatric symptom trajectories 2–3 years after hospital admission for COVID-19: a longitudinal, prospective cohort study in the UK. Taquet et al. The Lancet Psychiatry. 2024. DOI: https://doi.org/10.1016/S2215-0366(24)00214-1
Profiles of objective and subjective cognitive function in Post-COVID Syndrome, COVID-19 recovered, and COVID-19 naïve individuals. Bland et al. Scientific Reports. 2024. DOI: https://doi.org/10.1038/s41598-024-62050-x
Metacognitive accuracy differences in Parkinson’s disease and REM sleep behavioral disorder relative to healthy controls. Bălăeţ et al. Frontiers in Neurology. 2024. DOI: https://doi.org/10.3389/fneur.2024.1399313
Remote digital cognitive assessment reveals cognitive deficits related to hippocampal atrophy in autoimmune limbic encephalitis: a cross-sectional validation study. Kengo Shibata et al., EClinicalMedicine. 2024. DOI: https://doi.org/10.1016/j.eclinm.2024.102437
Cognition and lifeguard detection performance. Benjamin T. Sharpe et al., Applied Cognitive Psychology. 2024. DOI: https://doi.org/10.1002/acp.4139
Computerised cognitive testing and multi-domain structural Magnetic Resonance Imaging in patients with idiopathic Normal Pressure Hydrocephalus and Alzheimer’s disease. Martina Del Giovane et al., Alzheimers & Dementia. 2023. DOI: https://doi.org/10.1002/alz.074654
Conceptualising compulsivity through network analysis: A two-sample study. Chang Liu et al., Comprehensive Psychiatry. 2023. DOI: https://doi.org/10.1016/j.comppsych.2023.152429
The effects of COVID-19 on cognitive performance in a community-based cohort: a COVID symptom study biobank prospective cohort study. Nathan J Cheetham et al., EClinicalMedicine. 2023. DOI: https://doi.org/10.1016/j.eclinm.2023.102086
Mapping the sociodemographic distribution and self-reported justifications for non-compliance with COVID-19 guidelines in the United Kingdom. Maria Bălăeț et al., Frontiers in Psychology. 2023. DOI: https://doi.org/10.3389/fpsyg.2023.1183789
Associations between the use of psychedelics and other recreational drugs with mental health and resilience during the COVID-19 pandemic. Maria Bălăeț et al., Frontiers in Psychiatry. 2023. DOI: https://doi.org/10.3389/fpsyt.2023.1184681
Computerised cognitive assessment in patients with traumatic brain injury: an observational study of feasibility and sensitivity relative to established clinical scales. Martina Del Giovane et al., EClinicalMedicine. 2023. DOI: https://doi.org/10.1016/j.eclinm.2023.101980
Assessing prospective and retrospective metacognitive accuracy following traumatic brain injury remotely across cognitive domains. Niall J Bourke et al., Neuropsychological rehabilitation. 2023. DOI: https://doi.org/10.1080/09602011.2022.2034650
Measuring Compulsivity as a Self-Reported Multidimensional Transdiagnostic Construct: Large-Scale (N = 182,000) Validation of the Cambridge–Chicago Compulsivity Trait Scale. Jeggan Tiego et al., Assessment. 2023. DOI: https://doi.org/10.1177/10731911221149083
Online assessment and monitoring of cognitive decline in neurological conditions. Annalaura Lerede et al., Journal of Neurology, Neurosurgery & Psychiatry. 2022. DOI: https://doi.org/10.1136/jnnp-2022-abn2.100
Multivariate profile and acute-phase correlates of cognitive deficits in a COVID-19 hospitalised cohort. Adam Hampshire et al., EClinicalMedicine. 2022. DOI: https://doi.org/10.1016/j.eclinm.2022.101417
Item-level analysis of mental health symptom trajectories during the COVID-19 pandemic in the UK: associations with age, sex and pre-existing psychiatric conditions. Adam Hampshire et al., Comprehensive Psychiatry. 2022. DOI: https://doi.org/10.1016/j.comppsych.2022.152298
Rapid vigilance and episodic memory decrements in COVID-19 survivors. Sijia Zhao et al., Brain Communications. 2022. DOI: https://doi.org/10.1093/braincomms/fcab295
“It’s not rocket science” and “It’s not brain surgery”—“It’s a walk in the park”: prospective comparative study. Inga Usher et al., British Medical Journal. 2021. DOI: https://doi.org/10.1136/bmj-2021-067883
Insights into the impact on daily life of the COVID-19 pandemic and effective coping strategies from free-text analysis of people's collective experiences. Adam Hampshire et al., Interface Focus. 2021. DOI: https://doi.org/10.1098/rsfs.2021.0051
Cognitive deficits in people who have recovered from COVID-19. Adam Hampshire et al., EClinicalMedicine. 2021. DOI: https://doi.org/10.1016/j.eclinm.2021.101044
Associations between dimensions of behaviour, personality traits, and mental-health during the COVID-19 pandemic in the United Kingdom. Adam Hampshire et al., Nature Communications. 2021. DOI: https://doi.org/10.1038/s41467-021-24365-5
Neuroimaging evidence for a network sampling theory of individual differences in human intelligence test performance. Eyal Soreq et al., Nature Communications. 2021. DOI: https://doi.org/10.1038/s41467-021-22199-9
Post-traumatic stress disorder symptoms in COVID-19 survivors: online population survey. Samuel R Chamberlain et al., British Journal of Psychiatry open. 2021. DOI: https://doi.org/10.1192/bjo.2021.3
Distinct patterns of structural damage underlie working memory and reasoning deficits after traumatic brain injury. Amy E Jolly et al., Brain. 2020. DOI: https://doi.org/10.1093/brain/awaa067
A large-scale, cross-sectional investigation into the efficacy of brain training. Adam Hampshire et al., Frontiers in Human Neuroscience. 2019. DOI: https://doi.org/10.3389/fnhum.2019.00221
Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization. Romy Lorenz et al., Nature Communications 2018 DOI: https://doi.org/10.1038/s41467-018-03657-3
The Negative Relationship between Reasoning and Religiosity Is Underpinned by a Bias for Intuitive Responses Specifically When Intuition and Logic Are in Conflict. Richard Daws et al., Frontiers in Psychology 2017 DOI: https://doi.org/10.3389/fpsyg.2017.02191
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