Limits...
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.


Time course of two trials of the SART protocol. The digits were presented 500 ms with an onset-to-onset interval of 1500 ms. Subjects were asked to press the spacebar when a non-target digit was presented, and not to respond when a target digit (3) was presented.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4374461&req=5

Figure 1: Time course of two trials of the SART protocol. The digits were presented 500 ms with an onset-to-onset interval of 1500 ms. Subjects were asked to press the spacebar when a non-target digit was presented, and not to respond when a target digit (3) was presented.

Mentions: Subjects were asked to perform a computerized SART task. The SART task consists of a simple go/no-go task in which a single infrequent target digit is presented (here the digit 3) amongst frequent non-targets digits (1–9). The computer screen was placed approximately 70 cm from the participants’ head. Each digit was presented for 500 ms on the computer screen and then replaced by a fixation mark (“X”) for 1000 ms (see Figure 1). Digits appeared in white on a black background and were approximately 3 cm high in Arial font. The participants were asked to press the spacebar of the computer keyboard for non-target digits, and not to press it if the digit was a target (3). The target trials for which the participants inaccurately pressed the spacebar were considered “SART Errors”. In the rest of this manuscript, we will designate by the term “SART No errors” the other target trials.


Characterization of mind wandering using fNIRS.

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

Time course of two trials of the SART protocol. The digits were presented 500 ms with an onset-to-onset interval of 1500 ms. Subjects were asked to press the spacebar when a non-target digit was presented, and not to respond when a target digit (3) was presented.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

Figure 1: Time course of two trials of the SART protocol. The digits were presented 500 ms with an onset-to-onset interval of 1500 ms. Subjects were asked to press the spacebar when a non-target digit was presented, and not to respond when a target digit (3) was presented.
Mentions: Subjects were asked to perform a computerized SART task. The SART task consists of a simple go/no-go task in which a single infrequent target digit is presented (here the digit 3) amongst frequent non-targets digits (1–9). The computer screen was placed approximately 70 cm from the participants’ head. Each digit was presented for 500 ms on the computer screen and then replaced by a fixation mark (“X”) for 1000 ms (see Figure 1). Digits appeared in white on a black background and were approximately 3 cm high in Arial font. The participants were asked to press the spacebar of the computer keyboard for non-target digits, and not to press it if the digit was a target (3). The target trials for which the participants inaccurately pressed the spacebar were considered “SART Errors”. In the rest of this manuscript, we will designate by the term “SART No errors” the other target trials.

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.