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Characterization of mind wandering using fNIRS.

Durantin G, Dehais F, Delorme A - Front Syst Neurosci (2015)

Bottom Line: Functional near infrared spectroscopy is a non-invasive neuroimaging technique that has never been used so far to measure MW.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.

View Article: PubMed Central - PubMed

Affiliation: Département Conception des Véhicules Aérospatiaux, Institut Supérieur de l'Aéronautique et de l'Espace Toulouse, France ; Centre de Recherche Cerveau et Cognition, Universite de Toulouse UPS, Toulouse, France ; CNRS, CerCo Toulouse, France.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

Estimated probability density function representing the occurrence of SART errors across time (Weibull model, estimated over the two blocks of the experiment using unweigthed least-squares regression).
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Figure 3: Estimated probability density function representing the occurrence of SART errors across time (Weibull model, estimated over the two blocks of the experiment using unweigthed least-squares regression).

Mentions: Over the 44 target trials of the SART task, the participants made a mean of 12.7 errors (standard deviation: 7.0), which represents 29% of the target trials. Figure 3 shows the probability density function of the apparition of SART errors during the two sessions of the experiment. This figure exhibits the increasing SART Errors density over time.


Characterization of mind wandering using fNIRS.

Durantin G, Dehais F, Delorme A - Front Syst Neurosci (2015)

Estimated probability density function representing the occurrence of SART errors across time (Weibull model, estimated over the two blocks of the experiment using unweigthed least-squares regression).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4374461&req=5

Figure 3: Estimated probability density function representing the occurrence of SART errors across time (Weibull model, estimated over the two blocks of the experiment using unweigthed least-squares regression).
Mentions: Over the 44 target trials of the SART task, the participants made a mean of 12.7 errors (standard deviation: 7.0), which represents 29% of the target trials. Figure 3 shows the probability density function of the apparition of SART errors during the two sessions of the experiment. This figure exhibits the increasing SART Errors density over time.

Bottom Line: Functional near infrared spectroscopy is a non-invasive neuroimaging technique that has never been used so far to measure MW.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.

View Article: PubMed Central - PubMed

Affiliation: Département Conception des Véhicules Aérospatiaux, Institut Supérieur de l'Aéronautique et de l'Espace Toulouse, France ; Centre de Recherche Cerveau et Cognition, Universite de Toulouse UPS, Toulouse, France ; CNRS, CerCo Toulouse, France.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus