Brain at Work and in Everyday Life as the Next Frontier: Grand Field Challenges for Neuroergonomics

Dehais, Frédéric; Karwowski, Waldemar; Ayaz, Hasan

doi:10.3389/fnrgo.2020.583733

Cited by 51 publications

(44 citation statements)

References 88 publications

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“…Our data also con rms a mechanism for the enhanced di culty of performing motor tasks in real world settings for people with DCD that was previously unknown. Our work con rms that DCD is not an intellectual disability, but a motor learning and performance de cit (motor-cognitive disability) through both a neuroimaging and neuroergonomic lens 19 .…”

Section: Discussionsupporting

confidence: 56%

Neuroergonomic Assessment of Developmental Coordination Disorder

Joshi

Weedon

Esser

et al. 2021

Preprint

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Until recently, neural assessments of gross motor coordination could not reliably handle active tasks, particularly in realistic environments, and offered a narrow understanding of motor-cognition. By applying a comprehensive neuroergonomic approach using optical mobile neuroimaging, we demonstrated the broader capability for ecologically relevant neural evaluations for the “difficult-to-diagnose” Developmental Coordination Disorder (DCD), a motor-learning deficit affecting 5-6% of children with lifelong complications. We confirmed that DCD is not an intellectual, but a motor-cognitive disability, as gross motor /complex tasks revealed neuro-hemodynamic deficits and dysfunction within the right middle and superior frontal gyri of the Prefrontal Cortex. Furthermore, by incorporating behavioral performance, aberrant patterns of neural efficiency in these regions were revealed in DCD children, specifically during motor tasks. Lastly, we provide a framework, evaluating disorder impact in real-world contexts to identify those for whom interventional approaches are most needed and open the door for precision therapies.

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Section: Discussionsupporting

confidence: 56%

Neuroergonomic Assessment of Developmental Coordination Disorder

Joshi

Weedon

Esser

et al. 2021

Preprint

Self Cite

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“…Further investigations must also demonstrate if the effects of the SARB-based training persist over time, and if an actual generalization of the embodiment of the 3D model of a prosthesis can be observed for the actual device (Laffranchi et al, 2020 ), possibly exploiting the latter in game-like XR remote trainings designed to engage the users. This solution (alongside with the adoption of ecologically valid settings as in neuroergonomics research) (Dehais et al, 2020 ) could counter the apparent lack of RHI-susceptibility in subjects who feels prosthetic limbs ownership mainly when the devices are used in daily life (Zbinden and Ortiz-Catalan, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Exploring the Embodiment of a Virtual Hand in a Spatially Augmented Respiratory Biofeedback Setting

et al. 2021

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Enhancing the embodiment of artificial limbs—the individuals' feeling that a virtual or robotic limb is integrated in their own body scheme—is an impactful strategy for improving prosthetic technology acceptance and human-machine interaction. Most studies so far focused on visuo-tactile strategies to empower the embodiment processes. However, novel approaches could emerge from self-regulation techniques able to change the psychophysiological conditions of an individual. Accordingly, this pilot study investigates the effects of a self-regulated breathing exercise on the processes of body ownership underlying the embodiment of a virtual right hand within a Spatially Augmented Respiratory Biofeedback (SARB) setting. This investigation also aims at evaluating the feasibility of the breathing exercise enabled by a low-cost SARB implementation designed for upcoming remote studies (a need emerged during the COVID-19 pandemic). Twenty-two subjects without impairments, and two transradial prosthesis users for a preparatory test, were asked (in each condition of a within-group design) to maintain a normal (about 14 breaths/min) or slow (about 6 breaths/min) respiratory rate to keep a static virtual right hand “visible” on a screen. Meanwhile, a computer-generated sphere moved from left to right toward the virtual hand during each trial (1 min) of 16. If the participant's breathing rate was within the target (slow or normal) range, a visuo-tactile event was triggered by the sphere passing under the virtual hand (the subjects observed it shaking while they perceived a vibratory feedback generated by a smartphone). Our results—mainly based on questionnaire scores and proprioceptive drift—highlight that the slow breathing condition induced higher embodiment than the normal one. This preliminary study reveals the feasibility and potential of a novel psychophysiological training strategy to enhance the embodiment of artificial limbs. Future studies are needed to further investigate mechanisms, efficacy and generalizability of the SARB techniques in training a bionic limb embodiment.

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“…Moreover, most studies concentrated on the rhythms' impact on spectral characteristics of EEG signals, i.e., on changes of spectral power in the well-known alpha-, beta-, theta-, and deltafrequency band. Given recent technological developments that enable ultra-long (days to weeks and beyond) scalp (Casson, 2019), sub-scalp (Weisdorf et al, 2019;Duun-Henriksen et al, 2020), and intracortical (Zaer et al, 2021) EEG recordings in diverse applications (Aricò et al, 2018;Abiri et al, 2019;Cinel et al, 2019;Lohani et al, 2019;Alsuradi et al, 2020;Dehais et al, 2020;Rashid et al, 2020) even beyond clinical ones, it is important to understand the impact of endogenous and exogenous rhythms on characteristics of brain dynamics assessed with the aforementioned modern EEG analysis techniques.…”

Section: Introductionmentioning

confidence: 99%

Time in Brain: How Biological Rhythms Impact on EEG Signals and on EEG-Derived Brain Networks

Lehnertz

Rings

Bröhl

2021

Front. Netw. Physiol.

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Electroencephalography (EEG) is a widely employed tool for exploring brain dynamics and is used extensively in various domains, ranging from clinical diagnosis via neuroscience, cognitive science, cognitive psychology, psychophysiology, neuromarketing, neurolinguistics, and pharmacology to research on brain computer interfaces. EEG is the only technique that enables the continuous recording of brain dynamics over periods of time that range from a few seconds to hours and days and beyond. When taking long-term recordings, various endogenous and exogenous biological rhythms may impinge on characteristics of EEG signals. While the impact of the circadian rhythm and of ultradian rhythms on spectral characteristics of EEG signals has been investigated for more than half a century, only little is known on how biological rhythms influence characteristics of brain dynamics assessed with modern EEG analysis techniques. At the example of multiday, multichannel non-invasive and invasive EEG recordings, we here discuss the impact of biological rhythms on temporal changes of various characteristics of human brain dynamics: higher-order statistical moments and interaction properties of multichannel EEG signals as well as local and global characteristics of EEG-derived evolving functional brain networks. Our findings emphasize the need to take into account the impact of biological rhythms in order to avoid erroneous statements about brain dynamics and about evolving functional brain networks.

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Brain at Work and in Everyday Life as the Next Frontier: Grand Field Challenges for Neuroergonomics

Cited by 51 publications

References 88 publications

Neuroergonomic Assessment of Developmental Coordination Disorder

Neuroergonomic Assessment of Developmental Coordination Disorder

Exploring the Embodiment of a Virtual Hand in a Spatially Augmented Respiratory Biofeedback Setting

Time in Brain: How Biological Rhythms Impact on EEG Signals and on EEG-Derived Brain Networks

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