About This Project
What if schizophrenia could be detected in 30 seconds? Today it's diagnosed through extended clinical interviews. But growing evidence suggests schizophrenia changes time perception. Leveraging this, we have developed a simple visual task. We will rigorously measure diagnostic accuracy, with the end goal of deploying an objective, fast, and accessible screening tool.
Ask the Scientists
Join The DiscussionWhat is the context of this research?
A bedrock aspect of cognition is the perception of time. Accurate time perception is required to correctly judge the order of incoming events, and thus causality. Without proper judgments in the time domain, humans suffer fragmented cognition. Patients with schizophrenia show deficits in temporal judgments such as duration. Although time perception has emerged as a dynamic field in cognitive neuroscience, temporal measures are mostly absent from the clinical landscape. We propose that a straightforward visual task developed in my laboratory offers an opportunity for standardized, fine-grained, discrete testing of time perception, uncontaminated by other cognitive process. Our preliminary data demonstrate that temporal measures can sensitively distinguish schizophrenic patients from healthy controls, thereby providing a stable yardstick for this aspect of cognitive functioning.
What is the significance of this project?
Given the importance of time perception as a basic cognitive building block, this work opens the door to a totally novel method for rapid cognitive assessment in schizophrenic populations. Successful completion of this project will put us one step closer to a user-friendly and rapid cognitive assessment tool for clinical use with schizophrenia. Such a test can be used in nursing offices at the high school and college levels, massively expanding detection and the social safety net.
What are the goals of the project?
We have developed a method to rapidly and non-invasively detect temporal deficits characteristic of schizophrenia. Because of the simplicity of our simple game-like task, patients with schizophrenia are capable of comprehending and performing the task without difficulty. Our goal here is to further develop these temporal measures, enhance their sensitivity, establish test-retest reliability, minimize subject burden, correlate with other measures of schizophrenia, and adapt the tasks for wide spread use in diverse clinical settings. This research will deliver a user-friendly and rapid cognitive assessment tool for clinical use with schizophrenia.
Budget
We need to pay for the testing tablet (iPad) and a programmer to build/test the visual task to deployment-readiness (40 hours, $50/hour). We then need to pay a research assistant at Stanford to run the task on patients (schizophrenic and control): (200 patients, $35 per session). Note that no money will be taken by the principle investigators.
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Project Timeline
This project will take 12 months. The first 2 will be re-programming on a tablet (instead of desktop computer, as in our previous work), and testing thoroughly to ensure timing. The next 8 months will test patients. The final 2 months will include data analysis and write up.
Jan 19, 2026
Project Launched
Mar 02, 2026
Finish programming the visual test on a tablet
Oct 26, 2026
Finalize testing with patients and controls
Dec 25, 2026
Finalize data analysis and manuscript write-up
Meet the Team
David Eagleman
My scientific interest centers on how the brain constructs perception, how different brains do so differently, and how this matters for society. To that end, my academic work spans sensory substitution, time perception, synesthesia, and neurolaw. Please see my publications for my research results.
Lab Notes
Nothing posted yet.
Additional Information
Parsons B, Gandhi S, Aurbach EA, Williams N, Williams M, Wassef A, Eagleman DM (2013). Lengthened temporal integration in schizophrenia. Neuropsychologia. 51(2): 372-376. [Full text]
Ashoori A, Buch AM, Eagleman DM, Jarskog LF (under review). Time Processing Deficits in Schizophrenia: Neurobiological Insights and Clinical Relevance.
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