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Chen Y, Deng X. How Socially Avoidant Emerging Adults Process Social Feedback during Human-to-Human Interaction after Social Rejection: An Event-Related Potential Study. Behav Sci (Basel) 2024; 14:457. [PMID: 38920789 PMCID: PMC11200703 DOI: 10.3390/bs14060457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 05/26/2024] [Accepted: 05/27/2024] [Indexed: 06/27/2024] Open
Abstract
Social avoidance refers to active non-participation in social activities, which is detrimental to healthy interpersonal interaction for emerging adults. Social rejection is a kind of negative social evaluation from others making people feel social pain. However, how socially avoidant emerging adults process social feedback information after experiencing social rejection has received less attention. The current study aimed to explore the differences in social interaction feedback processing after social rejection between a socially avoidant group (n = 16) and a comparison group (n = 16) in a human-to-human interaction context. Computer game tasks with two types of interaction (cooperation and competition) were used to record the event-related potentials when receiving social interaction feedback in two conditions (social rejection and control condition). The results showed that (1) the socially avoidant group had lower reward positivity amplitudes than the comparison group when receiving social feedback; (2) the socially avoidant group presented larger P300 amplitudes in the social rejection condition than in the control condition, but the comparison group did not; and (3) social rejection evoked more negative N1 amplitudes in the socially avoidant and comparison groups. The findings suggest that socially avoidant emerging adults may have flaws in reward sensitivity during interpersonal interaction, and they might also exert more attentional and emotional resources to social feedback after social rejection.
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Affiliation(s)
- Yangdi Chen
- School of Psychology, Shenzhen University, Shenzhen 518060, China
| | - Xinmei Deng
- School of Psychology, Shenzhen University, Shenzhen 518060, China
- The Shenzhen Humanities & Social Sciences Key Research Bases of the Center for Mental Health, Shenzhen University, Shenzhen 518060, China
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Moffat R, Casale CE, Cross ES. Mobile fNIRS for exploring inter-brain synchrony across generations and time. FRONTIERS IN NEUROERGONOMICS 2024; 4:1260738. [PMID: 38234472 PMCID: PMC10790948 DOI: 10.3389/fnrgo.2023.1260738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 12/01/2023] [Indexed: 01/19/2024]
Abstract
While still relatively rare, longitudinal hyperscanning studies are exceptionally valuable for documenting changes in inter-brain synchrony, which may in turn underpin how behaviors develop and evolve in social settings. The generalizability and ecological validity of this experimental approach hinges on the selected imaging technique being mobile-a requirement met by functional near-infrared spectroscopy (fNIRS). fNIRS has most frequently been used to examine the development of inter-brain synchrony and behavior in child-parent dyads. In this position paper, we contend that dedicating attention to longitudinal and intergenerational hyperscanning stands to benefit the fields of social and cognitive neuroscience more broadly. We argue that this approach is particularly relevant for understanding the neural mechanisms underpinning intergenerational social dynamics, and potentially for benchmarking progress in psychological and social interventions, many of which are situated in intergenerational contexts. In line with our position, we highlight areas of intergenerational research that stand to be enhanced by longitudinal hyperscanning with mobile devices, describe challenges that may arise from measuring across generations in the real world, and offer potential solutions.
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Affiliation(s)
- Ryssa Moffat
- Social Brain Sciences, ETH Zurich, Zurich, Switzerland
| | - Courtney E. Casale
- School of Psychological Sciences, Macquarie University, Sydney, NSW, Australia
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Lin S, Zhao H, Duan H. Brain-to-brain synchrony during dyadic action co-representation under acute stress: evidence from fNIRS-based hyperscanning. Front Psychol 2023; 14:1251533. [PMID: 37744595 PMCID: PMC10511757 DOI: 10.3389/fpsyg.2023.1251533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 08/25/2023] [Indexed: 09/26/2023] Open
Abstract
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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Affiliation(s)
- Suqin Lin
- School of Preschool Education, Xi’an University, Xi’an, China
| | - Hanxuan Zhao
- School of Business and Management, Shanghai International Studies University, Shanghai, China
| | - Haijun Duan
- Key Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal University, Xi’an, China
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do Nascimento DC, Santos da Silva JR, Ara A, Sato JR, Costa L. Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo. Front Comput Neurosci 2023; 17:1132160. [PMID: 37576070 PMCID: PMC10413103 DOI: 10.3389/fncom.2023.1132160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 06/13/2023] [Indexed: 08/15/2023] Open
Abstract
Introduction Interpersonal neural synchronization (INS) demands a greater understanding of a brain's influence on others. Therefore, brain synchronization is an even more complex system than intrasubject brain connectivity and must be investigated. There is a need to develop novel methods for statistical inference in this context. Methods In this study, motivated by the analysis of fNIRS hyperscanning data, which measure the activity of multiple brains simultaneously, we propose a two-step network estimation: Tabu search local method and global maximization in the selected subgroup [partial conditional directed acyclic graph (DAG) + multiregression dynamic model]. We illustrate this approach in a dataset of two individuals who are playing the violin together. Results This study contributes new tools to the social neuroscience field, which may provide new perspectives about intersubject interactions. Our proposed approach estimates the best probabilistic network representation, in addition to providing access to the time-varying parameters, which may be helpful in understanding the brain-to-brain association of these two players. Discussion The illustration of the violin duo highlights the time-evolving changes in the brain activation of an individual influencing the other one through a data-driven analysis. We confirmed that one player was leading the other given the ROI causal relation toward the other player.
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Affiliation(s)
| | - José Roberto Santos da Silva
- Department of Statistics, Federal University of Bahia, Salvador, Brazil
- EcMetrics Pesquisa de Mercado, Salvador, Brazil
| | - Anderson Ara
- Departamento de Estatística, Universidade Federal do Parana, Curitiba, Brazil
| | - João Ricardo Sato
- Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil
| | - Lilia Costa
- Department of Statistics, Federal University of Bahia, Salvador, Brazil
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Zhao H, Zhang C, Tao R, Duan H, Xu S. Distinct inter-brain synchronization patterns underlying group decision-making under uncertainty with partners in different interpersonal relationships. Neuroimage 2023; 272:120043. [PMID: 37003448 DOI: 10.1016/j.neuroimage.2023.120043] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 02/04/2023] [Accepted: 03/16/2023] [Indexed: 04/03/2023] Open
Abstract
Humans may behave in different manners when making decisions with friends and strangers. Whether the interpersonal relationship and the characteristics of the individuals in the group affected the group decision-making under uncertainty in the real-time interaction remains unknown. Using the turn-based Balloon Analogue Risk Task (BART), the present study examined the group decision-making propensity under uncertainty with partners in different interpersonal relationships and interpersonal orientations. Corresponding inter-brain synchronization (IBS) patterns at the prefrontal cortex (PFC) were also uncovered with the fNIRS-based hyperscanning approach. Behavioral results identified that dyads in the friend group exhibited the uncertainty-averse propensity when comparing with the stranger group. The fNIRS results reported that feedback-related IBS at the left inferior frontal gyrus (l-IFG) and medial frontopolar cortex (mFPC) during different feedbacks was modulated by interpersonal relationships. The IBS at all channels in the PFC during the positive and negative feedbacks, respectively, predicted the decision-making propensity under uncertainty in the stranger and friend groups based on the support vector machine (SVM) algorithm. The moderating role of the social value orientation (SVO) was also verified in the mediation effect of the dyad closeness on the decision-making propensity under uncertainty via the IBS at the right lateral frontopolar cortex (r-FPC). These findings demonstrated disparate behavioral responses and inter-brain synchronization patterns underlying group decision-making under uncertainty with partners in different interpersonal relationships.
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Affiliation(s)
- Hanxuan Zhao
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Applied Brain and Cognitive Sciences, Shanghai International Studies University, 550, Dalian West Street, Shanghai 200083, China; College of International Business, Shanghai International Studies University, Shanghai, China
| | - Can Zhang
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Applied Brain and Cognitive Sciences, Shanghai International Studies University, 550, Dalian West Street, Shanghai 200083, China; College of International Business, Shanghai International Studies University, Shanghai, China
| | - Ruiwen Tao
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Applied Brain and Cognitive Sciences, Shanghai International Studies University, 550, Dalian West Street, Shanghai 200083, China; College of International Business, Shanghai International Studies University, Shanghai, China
| | - Haijun Duan
- Key Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal University, 199 South Chang' an Road, Xi'an 710062, China.
| | - Sihua Xu
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Applied Brain and Cognitive Sciences, Shanghai International Studies University, 550, Dalian West Street, Shanghai 200083, China; College of International Business, Shanghai International Studies University, Shanghai, China; School of Education, Huaibei Normal University, Huaibei, China; Anhui Engineering Research Center for Intelligent Computing and Application on Cognitive Behavior, Huaibei Normal University, Huaibei, China.
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Akila V, Johnvictor AC. Functional near infrared spectroscopy for brain functional connectivity analysis: A graph theoretic approach. Heliyon 2023; 9:e15002. [PMID: 37082646 PMCID: PMC10112026 DOI: 10.1016/j.heliyon.2023.e15002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 03/13/2023] [Accepted: 03/23/2023] [Indexed: 03/31/2023] Open
Abstract
Background Functional Near-Infrared Spectroscopy is an optical brain monitoring technique which uses NIRS to perform functional neuroimaging. It uses near-infrared light for measuring brain activity and to estimate the cortical hemodynamic activity in the brain due to motor activity. Functional NIRS measures the changes in oxygen levels in oxygenated and deoxygenated hemoglobin by optical absorption. One of the main challenges in the analysis of fNIRS signals is the signal degradation due to the interference from noise and artifacts from multiple sources. Methods In this context, this research aims to analyze the connectivity between different regions of the brain using graph theory and hence the geometrical association of brain networks in terms of functional parameters. In this study, the impact of two noise removal processes (CBSI and TDDR), along with two types of correlation fNIRS such as Pearson's Correlation (PC), and Cross Correlation (CC) and various whole-brain network architectures on the reproducibility of graph measurements for individual participants has been carefully examined for different densities ranging from 5% to 50%.The graph measures' repeatability at the individual level was studied using the test-retest variability (TRT). Results The test-retest variability for global measurements in binary networks was substantially large at low densities, regardless of the noise removal method or the kind of correlation. Very low test -reset values are observed for weighted networks and great reproducibility for measures of the entire graph. When comparing the test-retest values for various methods, the kind of correlation, the absolute value of the correlation, and the weight calculation method on the raw correlation value all had significant major effects. Conclusion Based on a weighted network with the absolute cross correlation functioning as the weight, this study revealed that normalized global graph measurements were reliable. The node definition techniques that were utilized to remove noise were not essential for the normalized graph measures to be reproducible.
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Wang S, Lu J, Yu M, Wang X, Shangguan C. "I'm listening, did it make any difference to your negative emotions?" Evidence from hyperscanning. Neurosci Lett 2022; 788:136865. [PMID: 36067901 DOI: 10.1016/j.neulet.2022.136865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/11/2022] [Accepted: 08/31/2022] [Indexed: 11/24/2022]
Abstract
Hyperscanning refers to simultaneously recording the brain activity of two or more people participating in the same cognitive activity to reveal the underlying processes. Active listening is a necessary and important part of interpersonal emotional regulation; however, few studies have addressed the corresponding brain activity. Therefore, this study aims to explore the regulatory effect of active listening and changes in the brain using functional near-infrared optical spectroscopy(fNIRS) in real situations requiring interpersonal emotional regulation. Behavioral results show that active listening has a significant effect on improving individuals' negative emotions. According to the neuroimaging results, the orbitofrontal cortex (OFC), right dorsolateral prefrontal cortex (right dlPFC), right temporoparietal junction (right TPJ), and left dorsolateral prefrontal cortex (left dlPFC) were significantly activated. In addition, band analysis showed interpersonal brain synchronization (IBS) increments at the orbitofrontal cortex (OFC), right dlPFC, right TPJ, and left dlPFC at different frequencies. Measurements of IBS and behavioral coherence showed that the increases of IBS at the OFC, right dlPFC, right TPJ, and left dlPFC were not significantly correlated with depression, anxiety, and the empathy level of the emotional regulator. The present study provides brain imaging evidence for the effectiveness of active listening in interpersonal emotional regulation.
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Affiliation(s)
- Shuyin Wang
- Department of Psychology, Educational College, Shanghai Normal University, Shanghai 200234, China
| | - Jiamei Lu
- Department of Psychology, Educational College, Shanghai Normal University, Shanghai 200234, China.
| | - Meiqi Yu
- Department of Psychology, Educational College, Shanghai Normal University, Shanghai 200234, China
| | - Xia Wang
- Department of Psychology, Educational College, Shanghai Normal University, Shanghai 200234, China
| | - Chenyu Shangguan
- Department of Psychology, Educational College, Shanghai Normal University, Shanghai 200234, China
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Nazneen T, Islam IB, Sajal MSR, Jamal W, Amin MA, Vaidyanathan R, Chau T, Mamun KA. Recent Trends in Non-invasive Neural Recording Based Brain-to-Brain Synchrony Analysis on Multidisciplinary Human Interactions for Understanding Brain Dynamics: A Systematic Review. Front Comput Neurosci 2022; 16:875282. [PMID: 35782087 PMCID: PMC9245014 DOI: 10.3389/fncom.2022.875282] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 04/20/2022] [Indexed: 12/12/2022] Open
Abstract
The study of brain-to-brain synchrony has a burgeoning application in the brain-computer interface (BCI) research, offering valuable insights into the neural underpinnings of interacting human brains using numerous neural recording technologies. The area allows exploring the commonality of brain dynamics by evaluating the neural synchronization among a group of people performing a specified task. The growing number of publications on brain-to-brain synchrony inspired the authors to conduct a systematic review using the PRISMA protocol so that future researchers can get a comprehensive understanding of the paradigms, methodologies, translational algorithms, and challenges in the area of brain-to-brain synchrony research. This review has gone through a systematic search with a specified search string and selected some articles based on pre-specified eligibility criteria. The findings from the review revealed that most of the articles have followed the social psychology paradigm, while 36% of the selected studies have an application in cognitive neuroscience. The most applied approach to determine neural connectivity is a coherence measure utilizing phase-locking value (PLV) in the EEG studies, followed by wavelet transform coherence (WTC) in all of the fNIRS studies. While most of the experiments have control experiments as a part of their setup, a small number implemented algorithmic control, and only one study had interventional or a stimulus-induced control experiment to limit spurious synchronization. Hence, to the best of the authors' knowledge, this systematic review solely contributes to critically evaluating the scopes and technological advances of brain-to-brain synchrony to allow this discipline to produce more effective research outcomes in the remote future.
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Affiliation(s)
- Tahnia Nazneen
- Advanced Intelligent Multidisciplinary Systems Lab, Institute of Advanced Research, United International University, Dhaka, Bangladesh
| | - Iffath Binta Islam
- Advanced Intelligent Multidisciplinary Systems Lab, Institute of Advanced Research, United International University, Dhaka, Bangladesh
| | - Md. Sakibur Rahman Sajal
- Advanced Intelligent Multidisciplinary Systems Lab, Institute of Advanced Research, United International University, Dhaka, Bangladesh
- Department of Computer Science and Engineering, United International University, Dhaka, Bangladesh
| | | | - M. Ashraful Amin
- Department of Computer Science and Engineering, Independent University, Dhaka, Bangladesh
| | - Ravi Vaidyanathan
- Department of Mechanical Engineering, Imperial College London, London, United Kingdom
| | - Tom Chau
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| | - Khondaker A. Mamun
- Advanced Intelligent Multidisciplinary Systems Lab, Institute of Advanced Research, United International University, Dhaka, Bangladesh
- Department of Computer Science and Engineering, United International University, Dhaka, Bangladesh
- *Correspondence: Khondaker A. Mamun
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Schaefer LV, Bittmann FN. Case Study: Intra- and Interpersonal Coherence of Muscle and Brain Activity of Two Coupled Persons during Pushing and Holding Isometric Muscle Action. Brain Sci 2022; 12:703. [PMID: 35741589 PMCID: PMC9221481 DOI: 10.3390/brainsci12060703] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 05/19/2022] [Accepted: 05/24/2022] [Indexed: 02/04/2023] Open
Abstract
Inter-brain synchronization is primarily investigated during social interactions but had not been examined during coupled muscle action between two persons until now. It was previously shown that mechanical muscle oscillations can develop coherent behavior between two isometrically interacting persons. This case study investigated if inter-brain synchronization appears thereby, and if differences of inter- and intrapersonal muscle and brain coherence exist regarding two different types of isometric muscle action. Electroencephalography (EEG) and mechanomyography/mechanotendography (MMG/MTG) of right elbow extensors were recorded during six fatiguing trials of two coupled isometrically interacting participants (70% MVIC). One partner performed holding and one pushing isometric muscle action (HIMA/PIMA; tasks changed). The wavelet coherence of all signals (EEG, MMG/MTG, force, ACC) were analyzed intra- and interpersonally. The five longest coherence patches in 8−15 Hz and their weighted frequency were compared between real vs. random pairs and between HIMA vs. PIMA. Real vs. random pairs showed significantly higher coherence for intra-muscle, intra-brain, and inter-muscle-brain activity (p < 0.001 to 0.019). Inter-brain coherence was significantly higher for real vs. random pairs for EEG of right and central areas and for sub-regions of EEG left (p = 0.002 to 0.025). Interpersonal muscle-brain synchronization was significantly higher than intrapersonal one, whereby it was significantly higher for HIMA vs. PIMA. These preliminary findings indicate that inter-brain synchronization can arise during muscular interaction. It is hypothesized both partners merge into one oscillating neuromuscular system. The results reinforce the hypothesis that HIMA is characterized by more complex control strategies than PIMA. The pilot study suggests investigating the topic further to verify these results on a larger sample size. Findings could contribute to the basic understanding of motor control and is relevant for functional diagnostics such as the manual muscle test which is applied in several disciplines, e.g., neurology, physiotherapy.
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Affiliation(s)
- Laura V. Schaefer
- Devision of Regulative Physiology and Prevention, Department of Sport and Health Sciences, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam, Germany;
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Li Y, Chen M, Zhang R, Xianchun L. Experiencing Happiness Together Facilitates Dyadic Coordination through the Enhanced Interpersonal Neural Synchronization. Soc Cogn Affect Neurosci 2021; 17:447-460. [PMID: 34669963 PMCID: PMC9071490 DOI: 10.1093/scan/nsab114] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 08/25/2021] [Accepted: 04/19/2022] [Indexed: 11/13/2022] Open
Abstract
Experiencing positive emotions together facilitates interpersonal understanding and promotes subsequent social interaction among individuals. However, the neural underpinnings of such emotional-social effect remain to be discovered. Current study employed the fNIRS-based hyperscanning to investigate the above mentioned relationship. After participants in dyad watching movie clips with happily or neutral emotion, they were asked to perform the interpersonal cooperative task, with their neural activation of prefrontal cortex (PFC) being recorded simultaneously via functional near infrared spectroscopy. Results suggested that compared with the neutral movie watching together, a higher interpersonal neural synchronization (INS) in left inferior frontal gyrus during participant dyads watching happiness movie together. Subsequently, dyads in happiness showed more effective coordination interaction during performed the interpersonal cooperation task compared to those in the neutral condition, and such facilitated effect was associated with increased cooperation-related INS at left middle frontal cortex. A mediation analysis showed that the coordination interaction fully mediated the relationship between the emotion-induced INS during the happiness movie-viewing and the cooperation-related INS in interpersonal cooperation. Taken together, our findings suggest that the faciliatory effect experiencing happiness together has on interpersonal cooperation can be reliably reflected by the INS magnitude at the brain level.
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Affiliation(s)
- Yangzhuo Li
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, 200062, China
| | - Mei Chen
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, 200062, China
| | - Ruqian Zhang
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, 200062, China
| | - Li Xianchun
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, 200062, China.,Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, 200062, China
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Abstract
In order to understand ecologically meaningful social behaviors and their neural substrates in humans and other animals, researchers have been using a variety of social stimuli in the laboratory with a goal of extracting specific processes in real-life scenarios. However, certain stimuli may not be sufficiently effective at evoking typical social behaviors and neural responses. Here, we review empirical research employing different types of social stimuli by classifying them into five levels of naturalism. We describe the advantages and limitations while providing selected example studies for each level. We emphasize the important trade-off between experimental control and ecological validity across the five levels of naturalism. Taking advantage of newly emerging tools, such as real-time videos, virtual avatars, and wireless neural sampling techniques, researchers are now more than ever able to adopt social stimuli at a higher level of naturalism to better capture the dynamics and contingency of real-life social interaction.
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Affiliation(s)
- Siqi Fan
- Department of Psychology, Yale University, New Haven, CT 06520, USA
| | - Olga Dal Monte
- Department of Psychology, Yale University, New Haven, CT 06520, USA
- Department of Psychology, University of Turin, Torino, Italy
| | - Steve W.C. Chang
- Department of Psychology, Yale University, New Haven, CT 06520, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06510, USA
- Kavli Institute for Neuroscience, Yale University School of Medicine, New Haven, CT 06510, USA
- Wu Tsai Institute, Yale University, New Haven, CT 06510, USA
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12
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Zhang M, Jia H, Wang G. Interbrain Synchrony of Team Collaborative Decision-Making: An fNIRS Hyperscanning Study. Front Hum Neurosci 2021; 15:702959. [PMID: 34335212 PMCID: PMC8319628 DOI: 10.3389/fnhum.2021.702959] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 06/21/2021] [Indexed: 11/13/2022] Open
Abstract
In many situations, decision-making behaviors are mostly composed of team patterns (i.e., more than two persons). However, brain-based models that inform how team interactions contribute and impact team collaborative decision-making (TCDM) behavior, is lacking. To examine the neural substrates activated during TCDM in realistic, interpersonal interaction contexts, dyads were asked to model TCDM toward their opponent, in a multi-person prisoner's dilemma game, while neural activity was measured using functional near infrared spectroscopy. These experiments resulted in two main findings. First, there are different neural substrates between TCDM and ISDM, which were modulated by social environmental cues. i.e., the low incentive reward yielded higher activation within the left inferior frontal gyrus (IFG), in individual separately decision-making (ISDM) stage while the dorsolateral prefrontal cortex (DLPFC) and the middle frontopolar area was activated in TCDM stage. The high incentive reward evoked a higher interbrain synchrony (IBS) value in the right IFG in TCDM stage. Second, males showed higher activation in the DLPFC and the middle frontopolar area during ISDM, while females evoked higher IBS in the right IFG during TCDM. These sex effects suggest that in individual social dilemma situations, males and females may separately depend on non-social and social cognitive ability to make decisions, while in the social interaction situations of TCDM, females may depend on both social and non-social cognitive abilities. This study provide a compelling basis and interesting perspective for future neuroscience work of TCDM behaviors.
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Affiliation(s)
- Mingming Zhang
- Department of Psychology, College of Education, Shanghai Normal University, Shanghai, China
| | - Huibin Jia
- Department of Psychology, Henan University, Kaifeng, China
- Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University, Nanjing, China
| | - Guanghai Wang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children’s Medical Center, Pediatric Translational Medicine Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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13
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Yang Y, Wu M, Vázquez-Guardado A, Wegener AJ, Grajales-Reyes JG, Deng Y, Wang T, Avila R, Moreno JA, Minkowicz S, Dumrongprechachan V, Lee J, Zhang S, Legaria AA, Ma Y, Mehta S, Franklin D, Hartman L, Bai W, Han M, Zhao H, Lu W, Yu Y, Sheng X, Banks A, Yu X, Donaldson ZR, Gereau RW, Good CH, Xie Z, Huang Y, Kozorovitskiy Y, Rogers JA. Wireless multilateral devices for optogenetic studies of individual and social behaviors. Nat Neurosci 2021; 24:1035-1045. [PMID: 33972800 PMCID: PMC8694284 DOI: 10.1038/s41593-021-00849-x] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 03/26/2021] [Indexed: 12/31/2022]
Abstract
Advanced technologies for controlled delivery of light to targeted locations in biological tissues are essential to neuroscience research that applies optogenetics in animal models. Fully implantable, miniaturized devices with wireless control and power-harvesting strategies offer an appealing set of attributes in this context, particularly for studies that are incompatible with conventional fiber-optic approaches or battery-powered head stages. Limited programmable control and narrow options in illumination profiles constrain the use of existing devices. The results reported here overcome these drawbacks via two platforms, both with real-time user programmability over multiple independent light sources, in head-mounted and back-mounted designs. Engineering studies of the optoelectronic and thermal properties of these systems define their capabilities and key design considerations. Neuroscience applications demonstrate that induction of interbrain neuronal synchrony in the medial prefrontal cortex shapes social interaction within groups of mice, highlighting the power of real-time subject-specific programmability of the wireless optogenetic platforms introduced here.
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Affiliation(s)
- Yiyuan Yang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
| | - Mingzheng Wu
- Department of Neurobiology, Northwestern University, Evanston, IL, USA
| | | | - Amy J Wegener
- US Army Research Laboratory, Aberdeen Proving Ground, MD, USA
- US Army Medical Research Institute of Chemical Defense, Aberdeen Proving Ground, MD, USA
| | - Jose G Grajales-Reyes
- Washington University Pain Center and Department of Anesthesiology, Washington University, St. Louis, MO, USA
| | - Yujun Deng
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
| | - Taoyi Wang
- Department of Physics, Tsinghua University, Beijing, China
| | - Raudel Avila
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
| | - Justin A Moreno
- US Army Research Laboratory, Aberdeen Proving Ground, MD, USA
- US Army Medical Research Institute of Chemical Defense, Aberdeen Proving Ground, MD, USA
- SURVICE Engineering, Belcamp, MD, USA
| | - Samuel Minkowicz
- Department of Neurobiology, Northwestern University, Evanston, IL, USA
| | - Vasin Dumrongprechachan
- Department of Neurobiology, Northwestern University, Evanston, IL, USA
- Chemistry of Life Processes Institutes, Northwestern University, Evanston, IL, USA
| | | | - Shuangyang Zhang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
- School of Civil Engineering, Southwest JiaoTong University, Chengdu, China
| | - Alex A Legaria
- Washington University Pain Center and Department of Anesthesiology, Washington University, St. Louis, MO, USA
| | - Yuhang Ma
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, People's Republic of China
| | - Sunita Mehta
- CSIR-Central Scientific Instruments Organization, Ministry of Science & Technology, Sector 30-C, Chandigarh, India
| | - Daniel Franklin
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
| | - Layne Hartman
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA
| | - Wubin Bai
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
| | - Mengdi Han
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
| | - Hangbo Zhao
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
| | - Wei Lu
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
| | - Yongjoon Yu
- Chemistry of Life Processes Institutes, Northwestern University, Evanston, IL, USA
| | - Xing Sheng
- Department of Electronic Engineering, Tsinghua University, Beijing, China
| | - Anthony Banks
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
- Neurolux Inc, Evanston, IL, USA
- Simpson Querrey Institute & Feinberg Medical School, Northwestern University, Evanston, IL, USA
| | - Xinge Yu
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong
| | - Zoe R Donaldson
- Psychology and Neuroscience, Molecular Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Robert W Gereau
- Washington University Pain Center and Department of Anesthesiology, Washington University, St. Louis, MO, USA
| | - Cameron H Good
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
- US Army Research Laboratory, Aberdeen Proving Ground, MD, USA
- US Army Medical Research Institute of Chemical Defense, Aberdeen Proving Ground, MD, USA
| | - Zhaoqian Xie
- State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian, P.R. China.
| | - Yonggang Huang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA.
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA.
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA.
| | - Yevgenia Kozorovitskiy
- Department of Neurobiology, Northwestern University, Evanston, IL, USA.
- Chemistry of Life Processes Institutes, Northwestern University, Evanston, IL, USA.
| | - John A Rogers
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA.
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA.
- Neurolux Inc, Evanston, IL, USA.
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA.
- Simpson Querrey Institute & Feinberg Medical School, Northwestern University, Evanston, IL, USA.
- Department of Chemistry, Northwestern University, Evanston, IL, USA.
- Department of Neurological Surgery, Northwestern University, Evanston, IL, USA.
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA.
- Department of Computer Science, Northwestern University, Evanston, IL, USA.
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14
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Short MR, Hernandez-Pavon JC, Jones A, Pons JL. EEG hyperscanning in motor rehabilitation: a position paper. J Neuroeng Rehabil 2021; 18:98. [PMID: 34112208 PMCID: PMC8194127 DOI: 10.1186/s12984-021-00892-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 05/31/2021] [Indexed: 11/10/2022] Open
Abstract
Studying the human brain during interpersonal interaction allows us to answer many questions related to motor control and cognition. For instance, what happens in the brain when two people walking side by side begin to change their gait and match cadences? Adapted from the neuroimaging techniques used in single-brain measurements, hyperscanning (HS) is a technique used to measure brain activity from two or more individuals simultaneously. Thus far, HS has primarily focused on healthy participants during social interactions in order to characterize inter-brain dynamics. Here, we advocate for expanding the use of this electroencephalography hyperscanning (EEG-HS) technique to rehabilitation paradigms in individuals with neurological diagnoses, namely stroke, spinal cord injury (SCI), Parkinson's disease (PD), and traumatic brain injury (TBI). We claim that EEG-HS in patient populations with impaired motor function is particularly relevant and could provide additional insight on neural dynamics, optimizing rehabilitation strategies for each individual patient. In addition, we discuss future technologies related to EEG-HS that could be developed for use in the clinic as well as technical limitations to be considered in these proposed settings.
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Affiliation(s)
- Matthew R Short
- Legs + Walking Lab, Shirley Ryan AbilityLab, Floor 24, 355 E Erie St, Chicago, IL, 60611, USA.,Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Chicago, IL, USA
| | - Julio C Hernandez-Pavon
- Legs + Walking Lab, Shirley Ryan AbilityLab, Floor 24, 355 E Erie St, Chicago, IL, 60611, USA.,Department of Physical Medicine and Rehabilitation, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Alyssa Jones
- Legs + Walking Lab, Shirley Ryan AbilityLab, Floor 24, 355 E Erie St, Chicago, IL, 60611, USA
| | - Jose L Pons
- Legs + Walking Lab, Shirley Ryan AbilityLab, Floor 24, 355 E Erie St, Chicago, IL, 60611, USA. .,Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Chicago, IL, USA. .,Department of Physical Medicine and Rehabilitation, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
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15
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Liu T, Duan L, Dai R, Pelowski M, Zhu C. Team-work, Team-brain: Exploring synchrony and team interdependence in a nine-person drumming task via multiparticipant hyperscanning and inter-brain network topology with fNIRS. Neuroimage 2021; 237:118147. [PMID: 33984492 DOI: 10.1016/j.neuroimage.2021.118147] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 03/31/2021] [Accepted: 04/26/2021] [Indexed: 11/24/2022] Open
Abstract
Teamwork is indispensable in human societies. However, due to the complexity of studying ecologically valid synchronous team actions, requiring multiple members and a range of subjective and objective measures, the mechanism underlying the impact of synchrony on team performance is still unclear. In this paper, we simultaneously measured groups of nine-participants' (total N = 180) fronto-temporal activations during a drum beating task using functional near infrared spectroscopy (fNIRS)-based hyperscanning and multi-brain network modeling, which can assess patterns of shared neural synchrony and attention/information sharing across entire teams. Participants (1) beat randomly without considering others' drumming (random condition), (2) actively coordinated their beats with the entire group without other external cue (team-focus condition), and (3) beat together based on a metronome (shared-focus condition). Behavioral data revealed higher subjective and objective measures of drum-beat synchronization in the team-focus condition, as well as higher felt interdependence. The fNIRS data revealed that participants in the team-focus condition also showed higher interpersonal neural synchronization (INS) and higher Global Network Efficiency in their left TPJ and mPFC. Higher left TPJ Global Network Efficiency also predicted higher actual synchrony in the team-focus condition, with an effect size roughly 1.5 times that of subjective measures, but not in the metronome-enabled shared-focus condition. This result suggests that shared mental representations with high efficiency of information exchange across the entire team may be a key component of synchrony, adding to the understanding of the actual relation to team work.
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Affiliation(s)
- Tao Liu
- Department of Marketing, School of Management, Zhejiang University, China
| | - Lian Duan
- Shenzhen Key Laboratory of Affective and Social Neuroscience, Center for Brain Disorders and Cognitive Sciences, Shenzhen University, China; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, China
| | - Ruina Dai
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, China
| | - Matthew Pelowski
- Faculty of Psychology and Cognitive Sciences Hub, University of Vienna, Austria
| | - Chaozhe Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, China.
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16
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Brain-to-brain communication: the possible role of brain electromagnetic fields (As a Potential Hypothesis). Heliyon 2021; 7:e06363. [PMID: 33732922 PMCID: PMC7937662 DOI: 10.1016/j.heliyon.2021.e06363] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 12/29/2020] [Accepted: 02/22/2021] [Indexed: 11/23/2022] Open
Abstract
Up now, the communication between brains of different humans or animals has been confirmed and confined by the sensory medium and motor facilities of body. Recently, direct brain-to-brain communication (DBBC) outside the conventional five senses has been verified between animals and humans. Nevertheless, no empirical studies or serious discussion have been performed to elucidate the mechanism behind this process. The validation of DBBC has been documented via recording similar pattern of action potentials occurring in the brain cortex of two animals. With regard to action potentials in brain neurons, the magnetic field resulting from the action potentials created in neurons is one of the tools where the brain of one animal can affect the brain of another. It has been shown that different animals, even humans, have the power to understand the magnetic field. Cryptochrome, which exists in the retina and in different regions of the brain, has been confirmed to be able to perceive magnetic fields and convert magnetic fields to action potentials. Recently, iron particles (Fe3O4) believed to be functioning as magnets have been found in various parts of the brain, and are postulated as magnetic field receptors. Newly developed supersensitive magnetic sensors made of iron magnets that can sense the brain's magnetic field have suggested the idea that these Fe3O4 particles or magnets may be capable of perceiving the brain's extremely weak magnetic field. The present study suggests that it is possible the extremely week magnetic field in one animal's brain to transmit vital and accurate information to another animal's brain.
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17
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Zhang M, Jia H, Zheng M, Liu T. Group decision-making behavior in social dilemmas: Inter-brain synchrony and the predictive role of personality traits. PERSONALITY AND INDIVIDUAL DIFFERENCES 2021. [DOI: 10.1016/j.paid.2020.110315] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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18
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Karunakaran KD, Peng K, Berry D, Green S, Labadie R, Kussman B, Borsook D. NIRS measures in pain and analgesia: Fundamentals, features, and function. Neurosci Biobehav Rev 2020; 120:335-353. [PMID: 33159918 DOI: 10.1016/j.neubiorev.2020.10.023] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 09/28/2020] [Accepted: 10/19/2020] [Indexed: 02/06/2023]
Abstract
Current pain assessment techniques based only on clinical evaluation and self-reports are not objective and may lead to inadequate treatment. Having a functional biomarker will add to the clinical fidelity, diagnosis, and perhaps improve treatment efficacy in patients. While many approaches have been deployed in pain biomarker discovery, functional near-infrared spectroscopy (fNIRS) is a technology that allows for non-invasive measurement of cortical hemodynamics. The utility of fNIRS is especially attractive given its ability to detect specific changes in the somatosensory and high-order cortices as well as its ability to measure (1) brain function similar to functional magnetic resonance imaging, (2) graded responses to noxious and innocuous stimuli, (3) analgesia, and (4) nociception under anesthesia. In this review, we evaluate the utility of fNIRS in nociception/pain with particular focus on its sensitivity and specificity, methodological advantages and limitations, and the current and potential applications in various pain conditions. Everything considered, fNIRS technology could enhance our ability to evaluate evoked and persistent pain across different age groups and clinical populations.
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Affiliation(s)
- Keerthana Deepti Karunakaran
- Center for Pain and the Brain, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, United States.
| | - Ke Peng
- Center for Pain and the Brain, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, United States; Département en Neuroscience, Centre de Recherche du CHUM, l'Université de Montréal Montreal, QC, Canada
| | - Delany Berry
- Center for Pain and the Brain, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, United States
| | - Stephen Green
- Center for Pain and the Brain, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, United States
| | - Robert Labadie
- Center for Pain and the Brain, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, United States
| | - Barry Kussman
- Division of Cardiac Anesthesia, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, United States
| | - David Borsook
- Center for Pain and the Brain, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, United States.
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19
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Brain-to-Brain Neural Synchrony During Social Interactions: A Systematic Review on Hyperscanning Studies. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10196669] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The aim of this study was to conduct a comprehensive review on hyperscanning research (measuring brain activity simultaneously from more than two people interacting) using an explicit systematic method, the preferred reporting items for systematic reviews and meta-analyses (PRISMA). Data were searched from IEEE Xplore, PubMed, Engineering Village, Web of Science and Scopus databases. Inclusion criteria were journal articles written in English from 2000 to 19 June 2019. A total of 126 empirical studies were screened out to address three specific questions regarding the neuroimaging method, the application domain, and the experiment paradigm. Results showed that the most used neuroimaging method with hyperscanning was magnetoencephalography/electroencephalography (MEG/EEG; 47%), and the least used neuroimaging method was hyper-transcranial Alternating Current Stimulation (tACS) (1%). Applications in cognition accounted for almost half the studies (48%), while educational applications accounted for less than 5% of the studies. Applications in decision-making tasks were the second most common (26%), shortly followed by applications in motor synchronization (23%). The findings from this systematic review that were based on documented, transparent and reproducible searches should help build cumulative knowledge and guide future research regarding inter-brain neural synchrony during social interactions, that is, hyperscanning research.
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20
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Hakuno Y, Hata M, Naoi N, Hoshino EI, Minagawa Y. Interactive live fNIRS reveals engagement of the temporoparietal junction in response to social contingency in infants. Neuroimage 2020; 218:116901. [DOI: 10.1016/j.neuroimage.2020.116901] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 04/18/2020] [Accepted: 04/30/2020] [Indexed: 10/24/2022] Open
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21
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Kingsbury L, Hong W. A Multi-Brain Framework for Social Interaction. Trends Neurosci 2020; 43:651-666. [PMID: 32709376 PMCID: PMC7484406 DOI: 10.1016/j.tins.2020.06.008] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Revised: 06/08/2020] [Accepted: 06/23/2020] [Indexed: 12/11/2022]
Abstract
Social interaction can be seen as a dynamic feedback loop that couples action, reaction, and internal cognitive processes across individual agents. A fuller understanding of the social brain requires a description of how the neural dynamics across coupled brains are linked and how they coevolve over time. We elaborate a multi-brain framework that considers social interaction as an integrated network of neural systems that dynamically shape behavior, shared cognitive states, and social relationships. We describe key findings from multi-brain experiments in humans and animal models that shed new light on the function of social circuits in health and disease. Finally, we discuss recent progress in elucidating the cellular-level mechanisms underlying inter-brain neural dynamics and outline key areas for future research.
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Affiliation(s)
- Lyle Kingsbury
- Department of Biological Chemistry and Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Weizhe Hong
- Department of Biological Chemistry and Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
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22
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The effects of interaction quality on neural synchrony during mother-child problem solving. Cortex 2020; 124:235-249. [DOI: 10.1016/j.cortex.2019.11.020] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 10/01/2019] [Accepted: 11/27/2019] [Indexed: 12/13/2022]
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23
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Kingsbury L, Huang S, Wang J, Gu K, Golshani P, Wu YE, Hong W. Correlated Neural Activity and Encoding of Behavior across Brains of Socially Interacting Animals. Cell 2019; 178:429-446.e16. [PMID: 31230711 PMCID: PMC6625832 DOI: 10.1016/j.cell.2019.05.022] [Citation(s) in RCA: 177] [Impact Index Per Article: 35.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 02/11/2019] [Accepted: 05/09/2019] [Indexed: 12/29/2022]
Abstract
Social interactions involve complex decision-making tasks that are shaped by dynamic, mutual feedback between participants. An open question is whether and how emergent properties may arise across brains of socially interacting individuals to influence social decisions. By simultaneously performing microendoscopic calcium imaging in pairs of socially interacting mice, we find that animals exhibit interbrain correlations of neural activity in the prefrontal cortex that are dependent on ongoing social interaction. Activity synchrony arises from two neuronal populations that separately encode one's own behaviors and those of the social partner. Strikingly, interbrain correlations predict future social interactions as well as dominance relationships in a competitive context. Together, our study provides conclusive evidence for interbrain synchrony in rodents, uncovers how synchronization arises from activity at the single-cell level, and presents a role for interbrain neural activity coupling as a property of multi-animal systems in coordinating and sustaining social interactions between individuals.
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Affiliation(s)
- Lyle Kingsbury
- Department of Biological Chemistry and Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Shan Huang
- Department of Biological Chemistry and Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Jun Wang
- Department of Biological Chemistry and Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Ken Gu
- Department of Biological Chemistry and Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Peyman Golshani
- Department of Neurology and Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Ye Emily Wu
- Department of Biological Chemistry and Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Weizhe Hong
- Department of Biological Chemistry and Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.
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24
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Dai R, Liu R, Liu T, Zhang Z, Xiao X, Sun P, Yu X, Wang D, Zhu C. Holistic cognitive and neural processes: a fNIRS-hyperscanning study on interpersonal sensorimotor synchronization. Soc Cogn Affect Neurosci 2018; 13:1141-1154. [PMID: 30321411 PMCID: PMC6234323 DOI: 10.1093/scan/nsy090] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Revised: 05/14/2018] [Accepted: 10/07/2018] [Indexed: 12/19/2022] Open
Abstract
Interpersonal sensorimotor synchronization (interpersonal SMS) is the foundation of complex human social interaction. Previous studies primarily focused on the individual cognitive processes of interpersonal SMS. However, all individuals compose an entire interaction system with emerged holistic properties during interpersonal SMS. Therefore, we proposed the `holistic cognitive and neural processes' of interpersonal SMS and defined quantitative measurements that included Holistic Correction Gain (HCG), Holistic Timekeeper Variance (HTV) and Holistic Motor Variance (HMV) based on linear error correction model and inter-brain couplings obtained by hyperscanning technique. We performed a joint-tapping experiment including bidirectional and unidirectional conditions using functional near-infrared spectroscopy (fNIRS) hyperscanning to evaluate effects of these holistic processes on synchronization performance. We found that the dyads' performance highly correlated with the integrated effect of holistic cognitive processes in both conditions. Each holistic cognitive process played different roles in interpersonal SMS. HCG was critical to maintain synchronization. HTV related to mentalizing others' behavior. Holistic neural process, the inter-brain coupling of right prefrontal cortex (PFC), was significantly different between bidirectional and unidirectional conditions, which suggested the existence of neural markers at holistic level in interpersonal SMS.
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Affiliation(s)
- Ruina Dai
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Ran Liu
- School of Systems Science, Beijing Normal University, Beijing, China
| | - Tao Liu
- School of Management, Zhejiang University, Hangzhou, China
| | - Zong Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Xiang Xiao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Peipei Sun
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Xiaoting Yu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Dahui Wang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- School of Systems Science, Beijing Normal University, Beijing, China
| | - Chaozhe Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
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25
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Coherent behavior of neuromuscular oscillations between isometrically interacting subjects: experimental study utilizing wavelet coherence analysis of mechanomyographic and mechanotendographic signals. Sci Rep 2018; 8:15456. [PMID: 30337553 PMCID: PMC6194070 DOI: 10.1038/s41598-018-33579-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 10/01/2018] [Indexed: 11/09/2022] Open
Abstract
Previous research has shown that electrical muscle activity is able to synchronize between muscles of one subject. The ability to synchronize the mechanical muscle oscillations measured by Mechanomyography (MMG) is not described sufficiently. Likewise, the behavior of myofascial oscillations was not considered yet during muscular interaction of two human subjects. The purpose of this study is to investigate the myofascial oscillations intra- and interpersonally. For this the mechanical muscle oscillations of the triceps and the abdominal external oblique muscles were measured by MMG and the triceps tendon was measured by mechanotendography (MTG) during isometric interaction of two subjects (n = 20) performed at 80% of the MVC using their arm extensors. The coherence of MMG/MTG-signals was analyzed with coherence wavelet transform and was compared with randomly matched signal pairs. Each signal pairing shows significant coherent behavior. Averagely, the coherent phases of n = 485 real pairings last over 82 ± 39 % of the total duration time of the isometric interaction. Coherent phases of randomly matched signal pairs take 21 ± 12 % of the total duration time (n = 39). The difference between real vs. randomly matched pairs is significant (U = 113.0, p = 0.000, r = 0.73). The results show that the neuromuscular system seems to be able to synchronize to another neuromuscular system during muscular interaction and generate a coherent behavior of the mechanical muscular oscillations. Potential explanatory approaches are discussed.
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26
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The infant brain in the social world: Moving toward interactive social neuroscience with functional near-infrared spectroscopy. Neurosci Biobehav Rev 2018; 87:38-49. [PMID: 29371139 DOI: 10.1016/j.neubiorev.2018.01.007] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Revised: 12/04/2017] [Accepted: 01/19/2018] [Indexed: 11/20/2022]
Abstract
Typically developing infants rapidly acquire a sophisticated array of social skills within the first year of life. These social skills are largely learned within the context of day-to-day interactions with caregivers. While social neuroscience has made great gains in our knowledge of the underlying neural circuitry of social cognition and behavior, much of this work has focused on experiments that sacrifice ecological validity for experimental control. Functional near-infrared spectroscopy (fNIRS) is a promising methodology for measuring brain activity in the context of naturalistic social interactions. Here, we review what we have learned from fNIRS studies that have used traditional experimental stimuli to study social development during infancy. We then discuss recent infant fNIRS studies that have utilized more naturalistic social stimuli, followed by a discussion of applications of this methodology to the study of atypical social development, with a focus on infants at risk for autism spectrum disorder. We end with recommendations for applying fNIRS to studies of typically developing and at-risk infants in naturalistic social situations.
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27
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Zhang M, Liu T, Pelowski M, Jia H, Yu D. Social risky decision-making reveals gender differences in the TPJ: A hyperscanning study using functional near-infrared spectroscopy. Brain Cogn 2017; 119:54-63. [DOI: 10.1016/j.bandc.2017.08.008] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Revised: 08/30/2017] [Accepted: 08/30/2017] [Indexed: 11/26/2022]
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Ray D, Roy D, Sindhu B, Sharan P, Banerjee A. Neural Substrate of Group Mental Health: Insights from Multi-Brain Reference Frame in Functional Neuroimaging. Front Psychol 2017; 8:1627. [PMID: 29033866 PMCID: PMC5625015 DOI: 10.3389/fpsyg.2017.01627] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Accepted: 09/04/2017] [Indexed: 01/09/2023] Open
Abstract
Contemporary mental health practice primarily centers around the neurobiological and psychological processes at the individual level. However, a more careful consideration of interpersonal and other group-level attributes (e.g., interpersonal relationship, mutual trust/hostility, interdependence, and cooperation) and a better grasp of their pathology can add a crucial dimension to our understanding of mental health problems. A few recent studies have delved into the interpersonal behavioral processes in the context of different psychiatric abnormalities. Neuroimaging can supplement these approaches by providing insight into the neurobiology of interpersonal functioning. Keeping this view in mind, we discuss a recently developed approach in functional neuroimaging that calls for a shift from a focus on neural information contained within brain space to a multi-brain framework exploring degree of similarity/dissimilarity of neural signals between multiple interacting brains. We hypothesize novel applications of quantitative neuroimaging markers like inter-subject correlation that might be able to evaluate the role of interpersonal attributes affecting an individual or a group. Empirical evidences of the usage of these markers in understanding the neurobiology of social interactions are provided to argue for their application in future mental health research.
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Affiliation(s)
- Dipanjan Ray
- Cognitive Brain Lab, National Brain Research Centre, Manesar, India
| | - Dipanjan Roy
- Cognitive Brain Lab, National Brain Research Centre, Manesar, India
| | - Brahmdeep Sindhu
- Department of Psychiatry, Gurgaon Civil Hospital, Gurgaon, India
| | - Pratap Sharan
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | - Arpan Banerjee
- Cognitive Brain Lab, National Brain Research Centre, Manesar, India
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29
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Balconi M, Vanutelli ME. Cooperation and Competition with Hyperscanning Methods: Review and Future Application to Emotion Domain. Front Comput Neurosci 2017; 11:86. [PMID: 29033810 PMCID: PMC5627061 DOI: 10.3389/fncom.2017.00086] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Accepted: 09/06/2017] [Indexed: 11/24/2022] Open
Abstract
Cooperation and competition, as two common and opposite examples of interpersonal dynamics, are thought to be reflected by different cognitive, neural, and behavioral patterns. According to the conventional approach, they have been explored by measuring subjects' reactions during individual performance or turn-based interactions in artificial settings, that don't allow on-line, ecological enactment of real-life social exchange. Considering the importance of these factors, and accounting for the complexity of such phenomena, the hyperscanning approach emerged as a multi-subject paradigm since it allows the simultaneous recording of the brain activity from multiple participants interacting. In this view, the present paper aimed at reviewing the most significant work about cooperation and competition by EEG hyperscanning technique, which proved to be a promising tool in capturing the sudden course of social interactions. In detail, the review will consider and group different experimental tasks that have been developed so far: (1) paradigms that used rhythm, music and motor synchronization; (2) card tasks taken from the Game Theory; (3) computerized tasks; and (4) possible real-life applications. Finally, although highlighting the potential contribution of such approach, some important limitations about these paradigms will be elucidated, with a specific focus on the emotional domain.
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Affiliation(s)
- Michela Balconi
- Research Unit in Affective and Social Neuroscience, Catholic University of Milan, Milan, Italy.,Department of Psychology, Catholic University of Milan, Milan, Italy
| | - Maria E Vanutelli
- Research Unit in Affective and Social Neuroscience, Catholic University of Milan, Milan, Italy.,Department of Psychology, Catholic University of Milan, Milan, Italy.,Department of Philosophy, Università degli Studi di Milano, Milan, Italy
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30
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Liu T, Liu X, Yi L, Zhu C, Markey PS, Pelowski M. Assessing autism at its social and developmental roots: A review of Autism Spectrum Disorder studies using functional near-infrared spectroscopy. Neuroimage 2017; 185:955-967. [PMID: 28966083 DOI: 10.1016/j.neuroimage.2017.09.044] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 08/16/2017] [Accepted: 09/20/2017] [Indexed: 12/15/2022] Open
Abstract
We review a relatively new method for studying the developing brain in children and infants with Autism Spectrum Disorder (ASD). Despite advances in behavioral screening and brain imaging, due to paradigms that do not easily allow for testing of awake, very young, and socially-engaged children-i.e., the social and the baby brain-the biological underpinnings of this disorder remain a mystery. We introduce an approach based on functional near-infrared spectroscopy (fNIRS), which offers a noninvasive imaging technique for studying functional activations by measuring changes in the brain's hemodynamic properties. This further enables measurement of brain activation in upright, interactive settings, while maintaining general equivalence to fMRI findings. We review the existing studies that have used fNIRS for ASD, discussing their promise, limitations, and their technical aspects, gearing this study to the researcher who may be new to this technique and highlighting potential targets for future research.
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Affiliation(s)
- Tao Liu
- School of Management, Zhejiang University, Hangzhou, China.
| | - Xingchen Liu
- College of Education and Psychology, Hainan Normal University, Haikou, China
| | - Li Yi
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China; Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
| | - Chaozhe Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
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31
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Zhang M, Liu T, Pelowski M, Yu D. Gender difference in spontaneous deception: A hyperscanning study using functional near-infrared spectroscopy. Sci Rep 2017; 7:7508. [PMID: 28790399 PMCID: PMC5548786 DOI: 10.1038/s41598-017-06764-1] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Accepted: 06/19/2017] [Indexed: 12/21/2022] Open
Abstract
Previous studies have demonstrated that the neural basis of deception involves a network of regions including the medial frontal cortex (MFC), superior temporal sulcus (STS), temporo-parietal junction (TPJ), etc. However, to test the actual activity of the brain in the act of deceptive practice itself, existing studies have mainly adopted paradigms of passive deception, where participants are told to lie in certain conditions, and have focused on intra-brain mechanisms in single participants. In order to examine the neural substrates underlying more natural, spontaneous deception in real social interactions, the present study employed a functional near-infrared spectroscopy (fNIRS) hyperscanning technique to simultaneously measure pairs of participants' fronto-temporal activations in a two-person gambling card-game. We demonstrated higher TPJ activation in deceptive compared to honest acts. Analysis of participants' inter-brain correlation further revealed that the STS is uniquely involved in deception but not in honesty, especially in females. These results suggest that the STS may play a critical role in spontaneous deception due to mentalizing requirements relating to modulating opponents' thoughts. To our knowledge, this study was the first to investigate such inter-brain correlates of deception in real face-to-face interactions, and thus is hoped to provide a new path for future complex social behavior research.
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Affiliation(s)
- Mingming Zhang
- Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University, Nanjing, 210096, China.,Research Center For Learning Science, School of Biological Science & Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Tao Liu
- Department of Marketing, School of Management, Zhejiang University, Hangzhou, 310058, China.
| | - Matthew Pelowski
- Department of Basic Psychological Research and Research Methods, Faculty of Psychology, University of Vienna, Vienna, Liebiggasse 5, 1010, Austria
| | - Dongchuan Yu
- Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University, Nanjing, 210096, China. .,Research Center For Learning Science, School of Biological Science & Medical Engineering, Southeast University, Nanjing, 210096, China.
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32
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Duan L, Dai RN, Xiao X, Sun PP, Li Z, Zhu CZ. Cluster imaging of multi-brain networks (CIMBN): a general framework for hyperscanning and modeling a group of interacting brains. Front Neurosci 2015; 9:267. [PMID: 26283906 PMCID: PMC4517381 DOI: 10.3389/fnins.2015.00267] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2015] [Accepted: 07/15/2015] [Indexed: 01/21/2023] Open
Abstract
Studying the neural basis of human social interactions is a key topic in the field of social neuroscience. Brain imaging studies in this field usually focus on the neural correlates of the social interactions between two participants. However, as the participant number further increases, even by a small amount, great difficulties raise. One challenge is how to concurrently scan all the interacting brains with high ecological validity, especially for a large number of participants. The other challenge is how to effectively model the complex group interaction behaviors emerging from the intricate neural information exchange among a group of socially organized people. Confronting these challenges, we propose a new approach called "Cluster Imaging of Multi-brain Networks" (CIMBN). CIMBN consists of two parts. The first part is a cluster imaging technique with high ecological validity based on multiple functional near-infrared spectroscopy (fNIRS) systems. Using this technique, we can easily extend the simultaneous imaging capacity of social neuroscience studies up to dozens of participants. The second part of CIMBN is a multi-brain network (MBN) modeling method based on graph theory. By taking each brain as a network node and the relationship between any two brains as a network edge, one can construct a network model for a group of interacting brains. The emergent group social behaviors can then be studied using the network's properties, such as its topological structure and information exchange efficiency. Although there is still much work to do, as a general framework for hyperscanning and modeling a group of interacting brains, CIMBN can provide new insights into the neural correlates of group social interactions, and advance social neuroscience and social psychology.
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Affiliation(s)
- Lian Duan
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University Beijing, China ; IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing, China ; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University Beijing, China
| | - Rui-Na Dai
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University Beijing, China ; IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing, China ; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University Beijing, China
| | - Xiang Xiao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University Beijing, China ; IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing, China ; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University Beijing, China
| | - Pei-Pei Sun
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University Beijing, China ; IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing, China ; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University Beijing, China
| | - Zheng Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University Beijing, China ; IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing, China ; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University Beijing, China
| | - Chao-Zhe Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University Beijing, China ; IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing, China ; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University Beijing, China
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33
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Wibral M, Lizier JT, Priesemann V. Bits from Brains for Biologically Inspired Computing. Front Robot AI 2015. [DOI: 10.3389/frobt.2015.00005] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
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34
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Liu T, Pelowski M. Clarifying the interaction types in two-person neuroscience research. Front Hum Neurosci 2014; 8:276. [PMID: 24817848 PMCID: PMC4012218 DOI: 10.3389/fnhum.2014.00276] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2014] [Accepted: 04/14/2014] [Indexed: 11/29/2022] Open
Affiliation(s)
- Tao Liu
- Department of Psychology, Sun Yat-Sen UniversityGuangzhou, China
- *Correspondence:
| | - Matthew Pelowski
- Department of Psychology, University of CopenhagenCopenhagen, Denmark
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