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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.


Arrangement of the 4 LED sources and 10 detectors of the Biopac® fNIR100 device (top), and location of the corresponding optodes on the cortex (bottom). Adapted from fnirSoft® software for NIRS data analyses.
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Figure 2: Arrangement of the 4 LED sources and 10 detectors of the Biopac® fNIR100 device (top), and location of the corresponding optodes on the cortex (bottom). Adapted from fnirSoft® software for NIRS data analyses.

Mentions: During the experiment, hemodynamic data from the prefrontal cortex were recorded using a fNIR100 device (Biopac Inc.). The device consists of four light-emitting diodes (LED) sources of 730 nm and 850 nm (LED current: 12 mA), and ten detectors (see Figure 2 for arrangement). The source and detectors are separated by 2.5 cm, resulting in 16 optodes uniformly placed on a rectangular grid on the forehead (see Figure 2). Data was collected with a sampling frequency of 2 Hz. A baseline of 10 s at the beginning of the experiment was used to calibrate the device. Optodes 1, 3 and 5 were defective and removed from all subjects.


Characterization of mind wandering using fNIRS.

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

Arrangement of the 4 LED sources and 10 detectors of the Biopac® fNIR100 device (top), and location of the corresponding optodes on the cortex (bottom). Adapted from fnirSoft® software for NIRS data analyses.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

Figure 2: Arrangement of the 4 LED sources and 10 detectors of the Biopac® fNIR100 device (top), and location of the corresponding optodes on the cortex (bottom). Adapted from fnirSoft® software for NIRS data analyses.
Mentions: During the experiment, hemodynamic data from the prefrontal cortex were recorded using a fNIR100 device (Biopac Inc.). The device consists of four light-emitting diodes (LED) sources of 730 nm and 850 nm (LED current: 12 mA), and ten detectors (see Figure 2 for arrangement). The source and detectors are separated by 2.5 cm, resulting in 16 optodes uniformly placed on a rectangular grid on the forehead (see Figure 2). Data was collected with a sampling frequency of 2 Hz. A baseline of 10 s at the beginning of the experiment was used to calibrate the device. Optodes 1, 3 and 5 were defective and removed from all subjects.

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.