Perspectives on Rehabilitation Using Non-invasive Brain Stimulation Based on Second-Person Neuroscience of Teaching-Learning Interactions

Takeuchi, Naoyuki

doi:10.3389/fpsyg.2021.789637

Cited by 3 publications

(2 citation statements)

References 65 publications

(86 reference statements)

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“…Therefore, artificial induction of inter-brain synchrony has the potential to promote analgesia through prosocial effects. Currently, tACS is the main type of NIBS utilized for dual-brain stimulation to induce inter-brain synchrony in human studies ( Takeuchi, 2022 ). A previous study evaluated whether tACS applied simultaneously to two individuals (hyper-tACS) alters interpersonal interaction ( Novembre et al, 2017 ).…”

Section: Pain Control Targeting Inter-brain Oscillatory Communicationmentioning

confidence: 99%

Pain control based on oscillatory brain activity using transcranial alternating current stimulation: An integrative review

Takeuchi

2023

Front. Hum. Neurosci.

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Developing effective tools and strategies to relieve chronic pain is a high-priority scientific and clinical goal. In particular, the brain regions related to pain processing have been investigated as potential targets to relieve pain by non-invasive brain stimulation (NIBS). In addition to elucidating the relationship between pain and oscillatory brain activity, transcranial alternating current stimulation (tACS), which can non-invasively entrain oscillatory brain activity and modulate oscillatory brain communication, has attracted scientific attention as a possible technique to control pain. This review focuses on the use of tACS to relieve pain through the manipulation of oscillatory brain activity and its potential clinical applications. Several studies have reported that tACS on a single brain reduces pain by normalizing abnormal oscillatory brain activity in patients with chronic pain. Interpersonal tACS approaches based on inter-brain synchrony to manipulate inter-brain communication may result in pain relief via prosocial effects. Pain is encoded by the spatiotemporal neural communication that represents the integration of cognitive, emotional-affective, and sensorimotor aspects of pain. Therefore, future studies should seek to identify the pathological oscillatory brain communication in chronic pain as a therapeutic target for tACS. In conclusion, tACS could be effective for re-establishing oscillatory brain activity and assisting social interaction, and it might help develop novel approaches for pain control.

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Section: Pain Control Targeting Inter-brain Oscillatory Communicationmentioning

confidence: 99%

Pain control based on oscillatory brain activity using transcranial alternating current stimulation: An integrative review

Takeuchi

2023

Front. Hum. Neurosci.

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“…To address this issue, those students should be evaluated on multiple parameters, i.e., their last performance, feedback, focus level, attainment level, learning curve, etc. [14].…”

Section: Unable To Identify the Root Cause Of Actual Problems In Teac...mentioning

confidence: 99%

Neural Correlate-Based E-Learning Validation and Classification Using Convolutional and Long Short-Term Memory Networks

Pathak,

Kashyap

2023

100

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The COVID-19 pandemic has precipitated an unprecedented surge in the proliferation of online E-learning platforms, designed to cater to a wide array of subjects across all age groups. However, a paucity of these platforms adopts a learner-centric approach or validates user learning, underscoring the need for effective E-learning validation and personalized learning recommendations. This paper addresses these challenges by implementing an innovative approach that leverages real-time electroencephalogram (EEG) signals collected from learners, who don neuro headsets while partaking in online courses. These EEG signals are subsequently classified using Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) deep learning models, with the intent of discerning the efficacy of the E-learning process. The proposed models have yielded promising classification accuracies of 68% and 97% for the CNN and LSTM models, respectively, demonstrating their rapidity and precision in classifying E-learning EEG signals. Thus, these models hold substantial potential for application in similar E-learning validation scenarios. Furthermore, this study introduces an automated framework designed to track the learning curve of users and furnish valuable recommendations for E-learning materials. The presented approach, therefore, not only validates the E-learning process but also aids in optimizing the learning experiences on E-learning platforms.

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A dual-brain therapeutic approach using noninvasive brain stimulation based on two-person neuroscience: A perspective review

Takeuchi

2024

MBE

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<abstract> <p>Our actions and decisions in everyday life are heavily influenced by social interactions, which are dynamic feedback loops involving actions, reactions, and internal cognitive processes between individual agents. Social interactions induce interpersonal synchrony, which occurs at different biobehavioral levels and comprises behavioral, physiological, and neurological activities. Hyperscanning—a neuroimaging technique that simultaneously measures the activity of multiple brain regions—has provided a powerful second-person neuroscience tool for investigating the phase alignment of neural processes during interactive social behavior. Neural synchronization, revealed by hyperscanning, is a phenomenon called inter-brain synchrony- a process that purportedly facilitates social interactions by prompting appropriate anticipation of and responses to each other's social behaviors during ongoing shared interactions. In this review, I explored the therapeutic dual-brain approach using noninvasive brain stimulation to target inter-brain synchrony based on second-person neuroscience to modulate social interaction. Artificially inducing synchrony between the brains is a potential adjunct technique to physiotherapy, psychotherapy, and pain treatment- which are strongly influenced by the social interaction between the therapist and patient. Dual-brain approaches to personalize stimulation parameters must consider temporal, spatial, and oscillatory factors. Multiple data fusion analysis, the assessment of inter-brain plasticity, a closed-loop system, and a brain-to-brain interface can support personalized stimulation.</p> </abstract>

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Perspectives on Rehabilitation Using Non-invasive Brain Stimulation Based on Second-Person Neuroscience of Teaching-Learning Interactions

Cited by 3 publications

References 65 publications

Pain control based on oscillatory brain activity using transcranial alternating current stimulation: An integrative review

Pain control based on oscillatory brain activity using transcranial alternating current stimulation: An integrative review

Neural Correlate-Based E-Learning Validation and Classification Using Convolutional and Long Short-Term Memory Networks

A dual-brain therapeutic approach using noninvasive brain stimulation based on two-person neuroscience: A perspective review

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