Decoding naturalistic movie clip identities from diffuse optical tomography measures of human brain activity

التفاصيل البيبلوغرافية
العنوان: Decoding naturalistic movie clip identities from diffuse optical tomography measures of human brain activity
المؤلفون: Zachary E. Markow, Mark A. Anastasio, Kalyan Tripathy, Jason W. Trobaugh, Alexa M. Svoboda, Joseph P. Culver, Mariel L. Schroeder, Edward J. Richter, Sean M. Rafferty, Adam T. Eggebrecht
المصدر: Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics.
بيانات النشر: SPIE, 2021.
سنة النشر: 2021
مصطلحات موضوعية: medicine.diagnostic_test, Computer science, business.industry, Data_CODINGANDINFORMATIONTHEORY, Human brain, Grid, Diffuse optical imaging, Functional imaging, medicine.anatomical_structure, Neuroimaging, medicine, Computer vision, Artificial intelligence, Functional magnetic resonance imaging, business, Decoding methods, Neural decoding
الوصف: Functional magnetic resonance imaging has decoded complex information about naturalistic stimuli using brain responses, but other non-invasive technologies have not achieved similar decoding capabilities. To evaluate feasibility of naturalistic visual decoding with diffuse optical tomography (DOT), a 6.5-mm-spaced optode grid was employed to decode which of four naturalistic, 90-second, audio-free movie clips was viewed by human subjects. Over 85% average decoding accuracy was achieved using a simple template-matching decoder, and this exceeded the accuracy from a sparser optode grid with 13-mm spacing. High-density DOT is therefore promising for more-complex neural decoding tasks in the future.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::63286a051a77740d03fa83321c9c21c0
https://doi.org/10.1117/12.2578609
رقم الأكسشن: edsair.doi...........63286a051a77740d03fa83321c9c21c0
قاعدة البيانات: OpenAIRE