Distinct inter-brain synchronization patterns during group creativity under threats in cooperative and competitive contexts

Yin, Junting; Pan, Yafeng; Zhang, Yuxuan; Hu, Yinying; Luo, Junlong

doi:10.1016/j.tsc.2023.101366

Cited by 4 publications

(2 citation statements)

References 139 publications

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“…When it comes to hyperscanning, considering all the combinations between two subjects' neural connections serves to identify paired data with an actual hyper-connection [31]. Moreover, similar studies using a higher number of channels and considering more suitable brain regions state the importance of including all combinations to reveal hidden information in untypical channels and avoid bias [32]. Furthermore, a set of conditions within this function to establish the B2B synchrony levels during a calibration (no-interaction) stage was implemented.…”

Section: Brain-to-brain Synchrony Estimationmentioning

confidence: 99%

Implementation of a Real-Time Brain-to-Brain Synchrony Estimation Algorithm for Neuroeducation Applications

Mendoza-Armenta,

Blanco-Téllez,

García-Alcántar

et al. 2024

Sensors

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This study centers on creating a real-time algorithm to estimate brain-to-brain synchronization during social interactions, specifically in collaborative and competitive scenarios. This type of algorithm can provide useful information in the educational context, for instance, during teacher–student or student–student interactions. Positioned within the context of neuroeducation and hyperscanning, this research addresses the need for biomarkers as metrics for feedback, a missing element in current teaching methods. Implementing the bispectrum technique with multiprocessing functions in Python, the algorithm effectively processes electroencephalography signals and estimates brain-to-brain synchronization between pairs of subjects during (competitive and collaborative) activities that imply specific cognitive processes. Noteworthy differences, such as higher bispectrum values in collaborative tasks compared to competitive ones, emerge with reliability, showing a total of 33.75% of significant results validated through a statistical test. While acknowledging progress, this study identifies areas of opportunity, including embedded operations, wider testing, and improved result visualization. Beyond academia, the algorithm’s utility extends to classrooms, industries, and any setting involving human interactions. Moreover, the presented algorithm is shared openly, to facilitate implementations by other researchers, and is easily adjustable to other electroencephalography devices. This research not only bridges a technological gap but also contributes insights into the importance of interactions in educational contexts.

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Section: Brain-to-brain Synchrony Estimationmentioning

confidence: 99%

Implementation of a Real-Time Brain-to-Brain Synchrony Estimation Algorithm for Neuroeducation Applications

Mendoza-Armenta,

Blanco-Téllez,

García-Alcántar

et al. 2024

Sensors

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“…The latest advance adopting the hyperscanning technique reported that the brain-to-brain synchrony in bilateral TPJ was recruited in the action co-representation in both competitive and cooperative contexts, and the brain-to-brain synchrony was significantly associated with the joint action performance (Yang et al, 2021). It was also found that under the unpredictable threatening circumstances, the enhanced brain-to-brain synchrony at the r-TPJ was also observed in the cooperative interactive tasks (Zhao et al, 2022;Yin et al, 2023). Hence, the r-TPJ was selected as the region of interest (ROI) in the current study to explore the behavioral performance and the brain-to-brain synchrony underlying the joint action task under acute stress with the fNIRS-based hyperscanning method.…”

Section: Introductionmentioning

confidence: 98%

Brain-to-brain synchrony during dyadic action co-representation under acute stress: evidence from fNIRS-based hyperscanning

Lin,

Zhao,

Duan

2023

Front. Psychol.

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Unexpected acute stressors may affect our co-representation with other co-actors when completing the joint tasks. The present study adopted the emergent functional near-infrared spectroscopy (fNIRS)-based hyperscanning method to explore the brain-to-brain synchrony when implementing the Joint Simon Task under acute stress induced in the laboratory. The behavioral results reported that the joint Simon effect (JSE) was found in both the stress group and the control group, but the joint Simon effect in the stress group was significantly lessened than the joint Simon effect in the control group, demonstrating that when completing the joint action task in the state of acute stress, women’s ability to distinguishing self- from other-related mental representations was improved, and the strength of women’s action co-representation was diminished. The fNIRS results showed that when completing the joint Simon task in the state of the acute stress, the brain-to-brain synchrony at the r-TPJ in the stress group was significantly higher than that in the control group, demonstrating that the increased brain-to-brain synchrony at the TPJ may be served as the critical brain-to-brain neural mechanism underlying the joint action task under acute stress.

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Teach a man to fish: Hyper-brain evidence on scaffolding strategy enhancing creativity acquisition and transfer

Jin,

Yin,

Pan

et al. 2024

NeuroImage

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Distinct inter-brain synchronization patterns during group creativity under threats in cooperative and competitive contexts

Cited by 4 publications

References 139 publications

Implementation of a Real-Time Brain-to-Brain Synchrony Estimation Algorithm for Neuroeducation Applications

Implementation of a Real-Time Brain-to-Brain Synchrony Estimation Algorithm for Neuroeducation Applications

Brain-to-brain synchrony during dyadic action co-representation under acute stress: evidence from fNIRS-based hyperscanning

Teach a man to fish: Hyper-brain evidence on scaffolding strategy enhancing creativity acquisition and transfer

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