![]() ![]() The proposed integrated cognitive assessment (CGN_ICA) test is designed to target cognitive domains and brain areas that are affected in the initial stages of cognitive disorders such as dementia, ideally before the onset of memory symptoms. Categorization accuracies and reaction times are then summarized to assess participants’ cognitive performance. We therefore developed a rapid visual categorization test that measures subject’s accuracy and response reaction times, engaging both visual and motor cortices as well as oculomotor function. The human motor cortex 21, 22, and the oculomotor 23, 24 are also shown to be affected in Alzheimer’s Disease. Therefore, visual dysfunction can predict cognitive deficits in Alzheimer’s Disease 19, 20. All parts of the visual system may be affected in Alzheimer’s disease, including the optic nerve, retina, lateral geniculate nucleus (LGN) and the visual cortex 19. Previous studies have linked visual function abnormalities with Alzheimer’s Disease and other types of cognitive impairment 17, 18, 19. Growing attention has been drawn to changes in the visual system in connection with dementia and cognitive impairment 11, 12, 13, 14, 15, 16. Therefore, developing new tools for effective, accurate and timely cognitive assessment is key to tackling this family of brain disorders. Several studies have emphasized the importance of early diagnosis 2, 6, 7, 8, 9 and its role in driving better treatment and improvement of cognition and quality of life 10. ![]() These tests are therefore not ideal tools for wide pro-active screening of cognitive impairment, which can be crucial to earlier diagnosis. Current routinely used approaches to cognitive assessment, such as the Mini Mental State Examination (MMSE) 3, Montreal Cognitive Assessment (MoCA) 4, and Addenbrooke’s Cognitive Examination (ACE) 5 are primarily paper-based, language and education-dependent and need to be administered by a healthcare professional (e.g. These diseases remain underdiagnosed or are diagnosed too late 2 resulting in less favorable health outcomes. Neurodegenerative disorders, including Dementia and Alzheimer’s disease, continue to represent a major economic, social and healthcare burden 1. In particular, in neurodegenerative disorders, cognitive impairment is the phenotypical hallmark of the disease. Similar content being viewed by othersīrain disorders can cause deficiency in cognitive performance. CGN_ICA had excellent test-retest reliability, showed convergent validity with the standard-of-care cognitive tests used here, and demonstrated to be suitable for micro-monitoring of cognitive performance. We compared participants’ CGN_ICA test results with a variety of standard pen-and-paper tests, such as Symbol Digit Modalities Test (SDMT) and Montreal Cognitive Assessment (MoCA), that are routinely used to assess cognitive performance. Overall 448 participants, across a wide age-range with different levels of education took the CGN_ICA test. We developed the Integrated Cognitive Assessment (referred to as CGN_ICA), a 5-minute computerized cognitive assessment tool based on a rapid visual categorization task, in which a series of carefully selected natural images of varied difficulty are presented to participants. These tests are thus not ideal for large-scale pro-active cognitive screening and disease progression monitoring. Current standard-of-care techniques for cognitive assessment are primarily paper-based, and need to be administered by a healthcare professional they are additionally language and education-dependent and typically suffer from a learning bias. Effective, accurate and timely cognitive assessment is key to early diagnosis of this family of mental disorders. Particularly in neurodegenerative disorders, cognitive impairment is the phenotypical hallmark of the disease. Various mental disorders are accompanied by some degree of cognitive impairment. ![]()
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