Journal article
Impact of Tea and Coffee Consumption on Cognitive Performance: An fNIRS and EDA Study
Applied sciences, v 10(7), 2390
01 Apr 2020
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Coffee and tea are two of the most popular beverages in the world and have been consumed for more than a thousand years. They have become an integral part of the day for many consumers and may aid not only increased social interactions but also productivity. However, there is no conclusive evidence of their comparative effect on cognitive ability. This study investigated the impact of tea and coffee products on cognitive performance in typical office work-related tasks using brain, body, and behavioral measures. In a controlled multi-day study, we explored the effects of both traditional and cognition-enhancing hot beverages through task performance and self-reported measures. A total of 120 participants completed three work-related tasks from different cognitive domains and consumed either a traditional or cognition-enhancing hot beverage. During the study, we measured brain activity in the prefrontal cortex using functional near-infrared spectroscopy (fNIRS) as well as arousal from skin conductance through electrodermal activity (EDA) while participants completed cognitive tasks and consumed the beverages. Neural efficiency was used to evaluate cognitive performance in the tasks. Neural efficiency was calculated from a composite score of behavioral efficiency and cognitive effort, and emotional arousal was estimated from EDA activity. Results indicated that for different cognitive domains, the enhanced hot beverages showed improved neural efficiency over that of a traditional hot beverage. This is the first study to assess the impact of both traditional and cognition-enhancing drinks using a multimodal approach for workplace-related assignments.
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Details
- Title
- Impact of Tea and Coffee Consumption on Cognitive Performance: An fNIRS and EDA Study
- Creators
- Amanda Sargent - Drexel University, School of Biomedical Engineering, Science, and Health SystemsJan Watson - Drexel University, School of Biomedical Engineering, Science, and Health SystemsYigit Topoglu - Drexel University, School of Biomedical Engineering, Science, and Health SystemsHongjun Ye - Drexel University, Bennett S. LeBow College of BusinessRajneesh Suri - Drexel University, Bennett S. LeBow College of BusinessHasan Ayaz - Drexel University, School of Biomedical Engineering, Science, and Health Systems
- Publication Details
- Applied sciences, v 10(7), 2390
- Publisher
- MDPI
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Bennett S. LeBow College of Business; School of Biomedical Engineering, Science, and Health Systems; Marketing
- Web of Science ID
- WOS:000533356200189
- Scopus ID
- 2-s2.0-85083581488
- Other Identifier
- 991014878457004721
UN Sustainable Development Goals (SDGs)
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Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Chemistry, Multidisciplinary
- Engineering, Multidisciplinary
- Materials Science, Multidisciplinary
- Physics, Applied