Cognitive Dysfunction, Eye Movement Disorder
Conditions
Brief summary
There is association between eye movement disorder and cognitive dysfunction. Therefore, utilizing eye movement and screening for cognitive dysfunction is feasible. In the present study, the investigators will develop an artificial intelligence platform to screening for cognitive dysfunction by inspecting the function of eye movement. Futher more, based on the screening results, the platform will offer referral suggestions.
Interventions
None listed
Sponsors
Sun Yat-sen University
Study design
Observational model
CASE_CROSSOVER
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
45 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* ①Subjects who are diagnosed as mild cognitive decline, Alzheimer's disease, Vascular dementia, Lewy body dementia, Frontotemporal dementia, other dementia and normal by neurologist. * ②Subjects who can cooperate with the inspection. * ③Subjects who agree to participate in the study and sign the consent form
Exclusion criteria
* ①Subjects who cannot do the inspection. * ②Subjects who suffer from diseases that compromise the inspection.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Area under the curve | up to 1 month | AUC values for predicting whether subject has cognitive impairment or not |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Accuracy, true positive rate, and true negetive rate | up to 1 month | The performance of this artificial platform |
Countries
China
Contacts
STUDY_CHAIRHaotian Lin, M.D.,Ph.D
Zhongshan Ophthalmic Center, Sun Yat-sen University
STUDY_DIRECTORXun Wang, M.D.,Ph.D
Zhongshan Ophthalmic Center, Sun Yat-sen University
PRINCIPAL_INVESTIGATORShuyi Zhang, M.D.
Zhongshan Ophthalmic Center, Sun Yat-sen University
Outcome results
None listed