Decreased prefrontal connectivity parallels cognitive fatigue-related performance decline after sleep deprivation. An optical imaging study

Borragán, Guillermo; Guerrero-Mosquera, Carlos; Guillaume, Céline; Slama, Hichem; Peigneux, Philippe

doi:10.1016/j.biopsycho.2019.03.004

Cited by 38 publications

(34 citation statements)

References 70 publications

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“…More recently, studies have emerged using the tools of cognitive neuroscience to investigate cognitive fatigue. While there is a growing body of literature using EEG 8 , 9 and optical imaging 10 to investigate fatigue, here we focus on the fMRI literature. Several fatigue-related brain areas have begun to emerge, include the striatum of the basal ganglia 3 , 11 – 13 , the ventro-medial prefrontal cortex (vmPFC; 13 – 15 ), the dorsal anterior cingulate cortex (dACC; 2 , 16 – 18 ), the dorsolateral prefrontal cortex (DLPFC; 2 , 17 , 19 ), and the anterior insula 2 , 13 , 17 , 20 , 21 .…”

Section: Introductionmentioning

confidence: 99%

Using functional connectivity changes associated with cognitive fatigue to delineate a fatigue network

Wylie

Yao

Genova

et al. 2020

Sci Rep

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Cognitive fatigue, or fatigue related to mental work, is a common experience. A growing body of work using functional neuroimaging has identified several regions that appear to be related to cognitive fatigue and that potentially comprise a “fatigue network”. These include the striatum of the basal ganglia, the dorsolateral prefrontal cortex (DLPFC), the dorsal anterior cingulate cortex (dACC), the ventro-medial prefrontal cortex (vmPFC) and the anterior insula. However, no work has been conducted to assess whether the connectivity between these regions changes as a function of cognitive fatigue. We used a task-based functional neuroimaging paradigm to induce fatigue in 39 healthy individuals, regressed the signal associated with the task out of the data, and investigated how the functional connectivity between these regions changed as cognitive fatigue increased. We observed functional connectivity between these regions and other frontal regions largely decreased as cognitive fatigue increased while connectivity between these seeds and more posterior regions increased. Furthermore the striatum, the DLPFC, the insula and the vmPFC appeared to be central ‘nodes’ or hubs of the fatigue network. These findings represent the first demonstration that the functional connectivity between these areas changes as a function of cognitive fatigue.

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Section: Introductionmentioning

confidence: 99%

Using functional connectivity changes associated with cognitive fatigue to delineate a fatigue network

Wylie

Yao

Genova

et al. 2020

Sci Rep

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“…(e) the level of cognitive load [209][210][211][212], (f) the level of cognitive fatigue [213][214][215], (g) the influence of stress [216][217][218][219][220], (h) the influence of expertise level [104,122,212,221] or skill level [106,222], (i) training-related changes in motor-cognitive performance [105,117]. Accordingly, the provided evidence further buttresses the idea to use brain-derived parameters in exercise prescription.…”

Section: Advantages Of Brain-derived Indicators Of Internal Loadmentioning

confidence: 61%

“…However, these demands are mirrored in brain-derived measures. Regarding fNIRS-derived brain parameters, it was reported that they are sensitive to: the level of cognitive load [ 209 , 210 , 211 , 212 ], the level of cognitive fatigue [ 213 , 214 , 215 ], the influence of stress [ 216 , 217 , 218 , 219 , 220 ], the influence of expertise level [ 104 , 122 , 212 , 221 ] or skill level [ 106 , 222 ], training-related changes in motor–cognitive performance [ 105 , 117 ]. …”

Section: Advantages Of Brain-derived Indicators Of Internal Loadmentioning

confidence: 99%

New Directions in Exercise Prescription: Is There a Role for Brain-Derived Parameters Obtained by Functional Near-Infrared Spectroscopy?

et al. 2020

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In the literature, it is well established that regular physical exercise is a powerful strategy to promote brain health and to improve cognitive performance. However, exact knowledge about which exercise prescription would be optimal in the setting of exercise–cognition science is lacking. While there is a strong theoretical rationale for using indicators of internal load (e.g., heart rate) in exercise prescription, the most suitable parameters have yet to be determined. In this perspective article, we discuss the role of brain-derived parameters (e.g., brain activity) as valuable indicators of internal load which can be beneficial for individualizing the exercise prescription in exercise–cognition research. Therefore, we focus on the application of functional near-infrared spectroscopy (fNIRS), since this neuroimaging modality provides specific advantages, making it well suited for monitoring cortical hemodynamics as a proxy of brain activity during physical exercise.

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“…For example, participants took sleepiness and empathy assessments multiple times in the SD condition but took these assessments only once in the RS condition. Recent advances showed that cognitive fatigue and sleepiness can be dissociated when accumulated sleep pressure is low [88]. Future studies should 3 further examine and control the confounding effect from cognitive fatigue in SD interactive learning.…”

Section: Limitationsmentioning

confidence: 99%

Interpersonal brain synchronization with instructor compensates for learner's sleep deprivation in interactive learning

Pan

Guyon

Borragán

et al. 2021

Biochemical Pharmacology

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Recent advances shifted the focus on single-brain functioning toward two-brain communication during learning interactions, following the demonstration that interpersonal brain synchronization (IBS) can track instructor-learner information exchange. Here, we investigated (i) whether sleep deprivation (SD) that potentially impacts both social interactions and learning abilities modulates IBS, and (ii) conversely whether and to what extent IBS might compensate for SD-related learning deficits. Instructors (always with regular sleep, RS) were asked to teach numerical reasoning strategies to learners (either SD or RS), during which the activity of both brains was simultaneously recorded using functional near-infrared spectroscopy (fNIRS). SD learners initially performed below their baseline level, worse than RS learners, but learning improvement was comparable between RS and SD conditions after learning with the instructor. IBS within the instructor-learner dyads was higher in the SD (vs. RS) condition in the left inferior frontal cortex. In addition, clustered IBS (estimated by nonnegative matrix factorization) was correlated with performance improvement. Finally, Granger Causality analyses revealed biased causality with higher instructor-to-learner than learner-to-instructor directionality in brain signal processing. Together, these results indicate that SD-related learning deficits can to some extent be compensated via interactions with an instructor, as reflected by increased IBS and preserved learning ability. It suggests an essential role of the instructor in driving synchrony between teaching and SD learning brains during interactions.

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Decreased prefrontal connectivity parallels cognitive fatigue-related performance decline after sleep deprivation. An optical imaging study

Cited by 38 publications

References 70 publications

Using functional connectivity changes associated with cognitive fatigue to delineate a fatigue network

Using functional connectivity changes associated with cognitive fatigue to delineate a fatigue network

New Directions in Exercise Prescription: Is There a Role for Brain-Derived Parameters Obtained by Functional Near-Infrared Spectroscopy?

Interpersonal brain synchronization with instructor compensates for learner's sleep deprivation in interactive learning

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