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Neural Adaptation to a Working Memory Task: A Concurrent EEG-fNIRS Study
Book chapter   Open access   Peer reviewed

Neural Adaptation to a Working Memory Task: A Concurrent EEG-fNIRS Study

Yichuan Liu, Hasan Ayaz, Banu Onaral and Patricia A Shewokis
Foundations of Augmented Cognition
2015
DOI: https://doi.org/10.1007/978-3-319-20816-9_26
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1007/978-3-319-20816-9_26View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze),  Open

Abstract

fNIRS Multimodality Mental workload EEG Practice time Working memory Adaptation
Simultaneously recorded electroencephalography (EEG) and functional near infrared spectroscopy (fNIRS) measures from sixteen subjects were used to assess neural correlates of a letter based n-back working memory task. We found that EEG alpha power increased and prefrontal cortical oxygenation decreased with increased practice time for the high memory load condition (2-back), suggesting lower brain activation and a tendency toward the ‘idle’ state. The cortical oxygenation changes for the low memory load conditions (0-back and 1-back) changed very little throughout the training session which the behavioral scores showed high accuracy and a ceiling effect. No significant effect of practice time were found for theta power or the behavioral performance measures.

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7 Record Views
11 citations in Web of Science
16 citations in Scopus

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UN Sustainable Development Goals (SDGs)

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#3 Good Health and Well-Being

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Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Information Systems
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