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fMRI-based detection of alertness predicts behavioral response variability

التفاصيل البيبلوغرافية
العنوان: fMRI-based detection of alertness predicts behavioral response variability
المؤلفون: Sarah E Goodale, Nafis Ahmed, Chong Zhao, Jacco A de Zwart, Pinar S Özbay, Dante Picchioni, Jeff Duyn, Dario J Englot, Victoria L Morgan, Catie Chang
المصدر: eLife, Vol 10 (2021)
بيانات النشر: eLife Sciences Publications Ltd, 2021.
سنة النشر: 2021
المجموعة: LCC:Medicine
LCC:Science
LCC:Biology (General)
مصطلحات موضوعية: fMRI, arousal, behavioral variability, Medicine, Science, Biology (General), QH301-705.5
الوصف: Levels of alertness are closely linked with human behavior and cognition. However, while functional magnetic resonance imaging (fMRI) allows for investigating whole-brain dynamics during behavior and task engagement, concurrent measures of alertness (such as EEG or pupillometry) are often unavailable. Here, we extract a continuous, time-resolved marker of alertness from fMRI data alone. We demonstrate that this fMRI alertness marker, calculated in a short pre-stimulus interval, captures trial-to-trial behavioral responses to incoming sensory stimuli. In addition, we find that the prediction of both EEG and behavioral responses during the task may be accomplished using only a small fraction of fMRI voxels. Furthermore, we observe that accounting for alertness appears to increase the statistical detection of task-activated brain areas. These findings have broad implications for augmenting a large body of existing datasets with information about ongoing arousal states, enriching fMRI studies of neural variability in health and disease.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2050-084X
Relation: https://elifesciences.org/articles/62376; https://doaj.org/toc/2050-084X
DOI: 10.7554/eLife.62376
URL الوصول: https://doaj.org/article/e5749ca90928412d983658e21cd16d5d
رقم الأكسشن: edsdoj.5749ca90928412d983658e21cd16d5d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2050084X
DOI:10.7554/eLife.62376