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Assessing whether someone is attending to a task has become important for educational and professional applications. Such attentional drifts are usually termed mind wandering (MW). The purpose of the current study is to test to what extent a recent neural imaging modality can be used to detect MW episodes. Functional near infrared spectroscopy is a non-invasive neuroimaging technique that has never been used so far to measure MW. We used the Sustained Attention to Response Task (SART) to assess when subjects attention leaves a primary task. Sixteen-channel fNIRS data were collected over frontal cortices. We observed significant activations over the medial prefrontal cortex (mPFC) during MW, a brain region associated with the default mode network (DMN). fNIRS data were used to classify MW data above chance level. In line with previous brain-imaging studies, our results confirm the ability of fNIRS to detect Default Network activations in the context of MW.
SART, Linear discriminant analysis, linear discriminant analysis, LDA, [SCCO.NEUR]Cognitive science/Neuroscience, Fnirs, Mind wandering, 150, Neurosciences, 610, Réseaux et télécommunications, fNIRS, Neurosciences. Biological psychiatry. Neuropsychiatry, default mode network, FNIRS, default mode network (DMN), Default mode network, mind wandering, RC321-571, Neuroscience
SART, Linear discriminant analysis, linear discriminant analysis, LDA, [SCCO.NEUR]Cognitive science/Neuroscience, Fnirs, Mind wandering, 150, Neurosciences, 610, Réseaux et télécommunications, fNIRS, Neurosciences. Biological psychiatry. Neuropsychiatry, default mode network, FNIRS, default mode network (DMN), Default mode network, mind wandering, RC321-571, Neuroscience
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