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Shali RK, Setarehdan SK, Seifi B. Functional near-infrared spectroscopy based blood pressure variations and hemodynamic activity of brain monitoring following postural changes: A systematic review. Physiol Behav 2024; 281:114574. [PMID: 38697274 DOI: 10.1016/j.physbeh.2024.114574] [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: 12/19/2023] [Revised: 04/03/2024] [Accepted: 04/26/2024] [Indexed: 05/04/2024]
Abstract
Postural change from supine or sitting to standing up leads to displacement of 300 to 1000 mL of blood from the central parts of the body to the lower limb, which causes a decrease in venous return to the heart, hence decrease in cardiac output, causing a drop in blood pressure. This may lead to falling down, syncope, and in general reducing the quality of daily activities, especially in the elderly and anyone suffering from nervous system disorders such as Parkinson's or orthostatic hypotension (OH). Among different modalities to study brain function, functional near-infrared spectroscopy (fNIRS) is a neuroimaging method that optically measures the hemodynamic response in brain tissue. Concentration changes in oxygenated hemoglobin (HbO2) and deoxygenated hemoglobin (HHb) are associated with brain neural activity. fNIRS is significantly more tolerant to motion artifacts compared to fMRI, PET, and EEG. At the same time, it is portable, has a simple structure and usage, is safer, and much more economical. In this article, we systematically reviewed the literature to examine the history of using fNIRS in monitoring brain oxygenation changes caused by sudden changes in body position and its relationship with the blood pressure changes. First, the theory behind brain hemodynamics monitoring using fNIRS and its advantages and disadvantages are presented. Then, a study of blood pressure variations as a result of postural changes using fNIRS is described. It is observed that only 58 % of the references concluded a positive correlation between brain oxygenation changes and blood pressure changes. At the same time, 3 % showed a negative correlation, and 39 % did not show any correlation between them.
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Affiliation(s)
- Roya Kheyrkhah Shali
- School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
| | - Seyed Kamaledin Setarehdan
- School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Behjat Seifi
- Faculty of Medical Science, University of Tehran, Tehran, Iran
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2
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Lim M, Carollo A, Bizzego A, Chen AS, Esposito G. Culture, sex and social context influence brain-to-brain synchrony: an fNIRS hyperscanning study. BMC Psychol 2024; 12:350. [PMID: 38877525 PMCID: PMC11179279 DOI: 10.1186/s40359-024-01841-3] [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: 03/25/2024] [Accepted: 05/31/2024] [Indexed: 06/16/2024] Open
Abstract
BACKGROUND Unique interpersonal synchrony occurs during every social interaction, and is shaped by characteristics of participating individuals in these social contexts. Additionally, depending on context demands, interpersonal synchrony is also altered. The study therefore aims to investigate culture, sex, and social context effects simultaneously in a novel role-play paradigm. Additionally, the effect of personality traits on synchrony was investigated across cultures, and a further exploratory analysis on the effects of these variables on pre- and post-session empathy changes was conducted. METHODS 83 dyads were recruited in two waves from Singapore and Italy and took part in a within-subjects session where they interacted with each other as themselves (Naturalistic Conversation) and as others (Role-Play and Role Reversal). Big Five Inventory (administered pre-session) and Interpersonal Reactivity Index (administered pre- and post-session) were used as measures of personality and empathy respectively, while synchrony was measured using hyperscanning functional near-infrared spectroscopy in the prefrontal cortex. After data-preprocessing and preliminary analyses, a mixture of multiple linear regression and exploratory forward stepwise regression models were used to address the above study aims. RESULTS Results revealed significant main and interaction effects of culture, sex and social context on brain-to-brain synchrony, particularly in the medial left cluster of the prefrontal cortex, and a unique contribution of extraversion and openness to experience to synchrony in the Italian cohort only. Finally, culture-driven differences in empathy changes were identified, where significant increases in empathy across sessions were generally only observed within the Singaporean cohort. CONCLUSIONS Main findings indicate lowered brain-to-brain synchrony during role-playing activities that is moderated by the dyad's sex make-up and culture, implying differential processing of social interactions that is also influenced by individuals' background factors. Findings align with current literature that role-playing is a cognitively demanding activity requiring greater levels of self-regulation and suppression of self-related cognition as opposed to interpersonal co-regulation characterized by synchrony. However, the current pattern of results would be better supported by future studies investigating multimodal synchronies and corroboration.
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Affiliation(s)
- Mengyu Lim
- Psychology Program, School of Social Sciences, Nanyang Technological University, Singapore, Singapore.
| | - Alessandro Carollo
- Department of Psychology and Cognitive Science, University of Trento, Rovereto, Italy
| | - Andrea Bizzego
- Department of Psychology and Cognitive Science, University of Trento, Rovereto, Italy
| | - Annabel Sh Chen
- Psychology Program, School of Social Sciences, Nanyang Technological University, Singapore, Singapore
| | - Gianluca Esposito
- Department of Psychology and Cognitive Science, University of Trento, Rovereto, Italy.
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Carollo A, Esposito G. Hyperscanning literature after two decades of neuroscientific research: A scientometric review. Neuroscience 2024; 551:345-354. [PMID: 38866073 DOI: 10.1016/j.neuroscience.2024.05.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 05/24/2024] [Accepted: 05/30/2024] [Indexed: 06/14/2024]
Abstract
Hyperscanning, a neuroimaging approach introduced in 2002 for simultaneously recording the brain activity of multiple participants, has significantly contributed to our understanding of social interactions. Nevertheless, the existing literature requires systematic organization to advance our knowledge. This study, after two decades of hyperscanning research, aims to identify the primary thematic domains and the most influential documents in the field. We conducted a scientometric analysis to examine co-citation patterns quantitatively, using a sample of 548 documents retrieved from Scopus and their 32,022 cited references. Our analysis revealed ten major thematic domains in hyperscanning research, with the most impactful document authored by Czeszumski and colleagues in 2020. Notably, while hyperscanning was initially developed for functional magnetic resonance imaging (fMRI), our findings indicate a substantial influence of research conducted using electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS). The introduction of fNIRS and advancements in EEG methods have enabled the implementation of more ecologically valid experiments for investigating social interactions. The study also highlights the need for more research that combines multi-brain neural stimulation with neuroimaging techniques to understand the causal role played by interpersonal neural synchrony in social interactions.
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Affiliation(s)
- Alessandro Carollo
- Department of Psychology and Cognitive Science, University of Trento, Rovereto, Italy.
| | - Gianluca Esposito
- Department of Psychology and Cognitive Science, University of Trento, Rovereto, Italy.
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Liu Y, Zhang Y, Zhong Y, Liu J, Zhang C, Meng Y, Pang N, Cheng X, Wang H. Favoritism or bias? Cooperation and competition under different intergroup relationships: evidence from EEG hyperscanning. Cereb Cortex 2024; 34:bhae131. [PMID: 38566514 DOI: 10.1093/cercor/bhae131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 03/08/2024] [Accepted: 03/09/2024] [Indexed: 04/04/2024] Open
Abstract
Cooperation and competition are the most common forms of social interaction in various social relationships. Intergroup relationships have been posited to influence individuals' interpersonal interactions significantly. Using electroencephalography hyperscanning, this study aimed to establish whether intergroup relationships influence interpersonal cooperation and competition and the underlying neural mechanisms. According to the results, the in-group Coop-index is better than the out-group, whereas the out-group Comp-index is stronger than the in-group. The in-group functional connectivity between the frontal-central region and the right temporoparietal junction in the β band was stronger in competition than cooperation. The out-group functional connectivity between the frontal-central region and the left temporoparietal junction in the α band was stronger in cooperation than competition. In both cooperation and competition, the in-group exhibited higher interbrain synchronization between the prefrontal cortex and parietal region in the θ band, as well as between the frontal-central region and frontal-central region in the α band, compared to the out-group. The intrabrain phase-locking value in both the α and β bands can effectively predict performance in competition tasks. Interbrain phase-locking value in both the α and θ bands can be effectively predicted in a performance cooperation task. This study offers neuroscientific evidence for in-group favoritism and out-group bias at an interpersonal level.
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Affiliation(s)
- Yingjie Liu
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
- School of Public Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
| | - Ye Zhang
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
| | - Yifei Zhong
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
| | - Jingyue Liu
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
| | - Chenyu Zhang
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
| | - Yujia Meng
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
| | - Nan Pang
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
| | - Xuemei Cheng
- Department of Mechanical and Electrical Engineering, Beijing Polytechnic, 100081
| | - He Wang
- School of Psychology and Mental Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
- School of Public Health, North China University of Science and Technology, 21 Bohai avenue, Caofeidian district, Tangshan, Hebei province 063210, China
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Gao C, Xiu J, Huang C, Ma K, Li T. Reliability Evaluation for Continuous-Wave Functional Near-Infrared Spectroscopy Systems: Comprehensive Testing from Bench Characterization to Human Test. SENSORS (BASEL, SWITZERLAND) 2024; 24:2045. [PMID: 38610255 PMCID: PMC11014010 DOI: 10.3390/s24072045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 03/18/2024] [Accepted: 03/18/2024] [Indexed: 04/14/2024]
Abstract
In recent years, biomedical optics technology has developed rapidly. The current widespread use of biomedical optics was made possible by the invention of optical instruments. The advantages of being non-invasive, portable, effective, low cost, and less susceptible to system noise have led to the rapid development of functional near-infrared spectroscopy (fNIRS) technology for hemodynamics detection, especially in the field of functional brain imaging. At the same time, laboratories and companies have developed various fNIRS-based systems. The safety, stability, and efficacy of fNIRS systems are key performance indicators. However, there is still a lack of comprehensive and systematic evaluation methods for fNIRS instruments. This study uses the fNIRS system developed in our laboratory as the test object. The test method established in this study includes system validation and performance testing to comprehensively assess fNIRS systems' reliability. These methods feature low cost and high practicality. Based on this study, existing or newly developed systems can be comprehensively and easily evaluated in the laboratory or workspace.
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Affiliation(s)
- Chenyang Gao
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China; (C.G.); (J.X.)
| | - Jia Xiu
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China; (C.G.); (J.X.)
| | - Chong Huang
- Philips North America, Carlsbad, CA 92011, USA;
| | - Kaixue Ma
- School of Microelectronics, Tianjin University, Tianjin 300072, China;
| | - Ting Li
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China; (C.G.); (J.X.)
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Konrad K, Gerloff C, Kohl SH, Mehler DMA, Mehlem L, Volbert EL, Komorek M, Henn AT, Boecker M, Weiss E, Reindl V. Interpersonal neural synchrony and mental disorders: unlocking potential pathways for clinical interventions. Front Neurosci 2024; 18:1286130. [PMID: 38529267 PMCID: PMC10962391 DOI: 10.3389/fnins.2024.1286130] [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: 08/30/2023] [Accepted: 01/30/2024] [Indexed: 03/27/2024] Open
Abstract
Introduction Interpersonal synchronization involves the alignment of behavioral, affective, physiological, and brain states during social interactions. It facilitates empathy, emotion regulation, and prosocial commitment. Mental disorders characterized by social interaction dysfunction, such as Autism Spectrum Disorder (ASD), Reactive Attachment Disorder (RAD), and Social Anxiety Disorder (SAD), often exhibit atypical synchronization with others across multiple levels. With the introduction of the "second-person" neuroscience perspective, our understanding of interpersonal neural synchronization (INS) has improved, however, so far, it has hardly impacted the development of novel therapeutic interventions. Methods To evaluate the potential of INS-based treatments for mental disorders, we performed two systematic literature searches identifying studies that directly target INS through neurofeedback (12 publications; 9 independent studies) or brain stimulation techniques (7 studies), following PRISMA guidelines. In addition, we narratively review indirect INS manipulations through behavioral, biofeedback, or hormonal interventions. We discuss the potential of such treatments for ASD, RAD, and SAD and using a systematic database search assess the acceptability of neurofeedback (4 studies) and neurostimulation (4 studies) in patients with social dysfunction. Results Although behavioral approaches, such as engaging in eye contact or cooperative actions, have been shown to be associated with increased INS, little is known about potential long-term consequences of such interventions. Few proof-of-concept studies have utilized brain stimulation techniques, like transcranial direct current stimulation or INS-based neurofeedback, showing feasibility and preliminary evidence that such interventions can boost behavioral synchrony and social connectedness. Yet, optimal brain stimulation protocols and neurofeedback parameters are still undefined. For ASD, RAD, or SAD, so far no randomized controlled trial has proven the efficacy of direct INS-based intervention techniques, although in general brain stimulation and neurofeedback methods seem to be well accepted in these patient groups. Discussion Significant work remains to translate INS-based manipulations into effective treatments for social interaction disorders. Future research should focus on mechanistic insights into INS, technological advancements, and rigorous design standards. Furthermore, it will be key to compare interventions directly targeting INS to those targeting other modalities of synchrony as well as to define optimal target dyads and target synchrony states in clinical interventions.
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Affiliation(s)
- Kerstin Konrad
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
- JARA Brain Institute II, Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Jülich, Germany
| | - Christian Gerloff
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
- JARA Brain Institute II, Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Jülich, Germany
- Department of Applied Mathematics and Theoretical Physics, Cambridge Centre for Data-Driven Discovery, University of Cambridge, Cambridge, United Kingdom
| | - Simon H. Kohl
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
- JARA Brain Institute II, Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Jülich, Germany
| | - David M. A. Mehler
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical School, RWTH Aachen University, Aachen, Germany
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- School of Psychology, Cardiff University Brain Research Imaging Center (CUBRIC), Cardiff University, Cardiff, United Kingdom
| | - Lena Mehlem
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
| | - Emily L. Volbert
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
| | - Maike Komorek
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
| | - Alina T. Henn
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
| | - Maren Boecker
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
- Institute of Medical Psychology and Medical Sociology, University Hospital RWTH, Aachen, Germany
| | - Eileen Weiss
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
- Institute of Medical Psychology and Medical Sociology, University Hospital RWTH, Aachen, Germany
| | - Vanessa Reindl
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital RWTH, Aachen, Germany
- Department of Psychology, School of Social Sciences, Nanyang Technological University, Singapore, Singapore
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7
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Lamontagne A, Gaunet F. Behavioural Synchronisation between Dogs and Humans: Unveiling Interspecific Motor Resonance? Animals (Basel) 2024; 14:548. [PMID: 38396516 PMCID: PMC10886274 DOI: 10.3390/ani14040548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 02/25/2024] Open
Abstract
Dogs' behavioural synchronisation with humans is of growing scientific interest. However, studies lack a comprehensive exploration of the neurocognitive foundations of this social cognitive ability. Drawing parallels from the mechanisms underlying behavioural synchronisation in humans, specifically motor resonance and the recruitment of mirror neurons, we hypothesise that dogs' behavioural synchronisation with humans is underpinned by a similar mechanism, namely interspecific motor resonance. Based on a literature review, we argue that dogs possess the prerequisites for motor resonance, and we suggest that interspecific behavioural synchronisation relies on the activation of both human and canine mirror neurons. Furthermore, interspecific behavioural studies highlight certain characteristics of motor resonance, including motor contagion and its social modulators. While these findings strongly suggest the potential existence of interspecific motor resonance, direct proof remains to be established. Our analysis thus paves the way for future research to confirm the existence of interspecific motor resonance as the neurocognitive foundation for interspecific behavioural synchronisation. Unravelling the neurocognitive mechanisms underlying this behavioural adjustment holds profound implications for understanding the evolutionary dynamics of dogs alongside humans and improving the day-to-day management of dog-human interactions.
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Affiliation(s)
- Angélique Lamontagne
- Centre de Recherche en Psychologie et Neuroscience (UMR 7077), Aix-Marseille University, Centre National de la Recherche Scientifique, 3 Place Victor Hugo, 13331 Marseille, Cedex 03, France
- Association Agir pour la Vie Animale (AVA), 76220 Cuy-Saint-Fiacre, France
| | - Florence Gaunet
- Centre de Recherche en Psychologie et Neuroscience (UMR 7077), Aix-Marseille University, Centre National de la Recherche Scientifique, 3 Place Victor Hugo, 13331 Marseille, Cedex 03, France
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8
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Gao C, Li T. Gender specificity of frontal activity based on fNIRS in distinguishing bipolar depression population from health control. JOURNAL OF BIOPHOTONICS 2024; 17:e202300346. [PMID: 37934196 DOI: 10.1002/jbio.202300346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/19/2023] [Accepted: 10/24/2023] [Indexed: 11/08/2023]
Abstract
Bipolar depression (BD) is a chronic psychiatric disorder characterized by recurring bouts of bipolar mania or hypomania followed by depression. In this essay, we used the functional near-infrared spectroscopy to investigate the frontal function of BD in males and females, which included a total of 43 BD patients and 28 healthy subjects. The hemodynamic response associated with the task was estimated using the generalized linear model (GLM) approach. Wavelet transforms coherence and Granger causality (GC) methods were employed to calculate brain connectivity. GLM and GC results revealed that female patients were more distinguishable from healthy controls than males. Additionally, the correlation between BD scores and GLM results showed that the brain activation of male subjects was affected by their anxiety levels. This study suggests that traditional diagnostic methods for BD may not be as sensitive in men as in women.
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Affiliation(s)
- Chenyang Gao
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Ting Li
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
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9
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Zhang W, Qiu L, Tang F, Sun HJ. Gender differences in cognitive and affective interpersonal emotion regulation in couples: an fNIRS hyperscanning. Soc Cogn Affect Neurosci 2023; 18:nsad057. [PMID: 37837406 PMCID: PMC10612568 DOI: 10.1093/scan/nsad057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 08/24/2023] [Accepted: 10/07/2023] [Indexed: 10/16/2023] Open
Abstract
Emotion regulation is vital in maintaining romantic relationships in couples. Although gender differences exist in cognitive and affective strategies during 'intrapersonal' emotion regulation, it is unclear how gender differences through affective bonds work in 'interpersonal' emotion regulation (IER) in couples. Thirty couple dyads and 30 stranger dyads underwent functional near-infrared spectroscopy hyperscanning recordings when targets complied with their partner's cognitive engagement (CE) and affective engagement (AE) strategies after viewing sad and neutral videos. Behaviorally, for males, CE was less effective than AE in both groups, but little difference occurred for females between AE and CE. For couples, Granger causality analysis showed that male targets had less neural activity than female targets in CH06, CH13 and CH17 during CE. For inflow and outflow activities on CH06 and CH13 (frontopolar cortex), respectively, male targets had less activity in the CE condition than in the AE condition, while for outflow activities on CH 17 (dorsolateral prefrontal cortex), female targets had more activity in the CE condition than in the AE condition. However, these differences were not observed in strangers. These results suggest gender differences in CE but not in AE and dissociable flow patterns in male and female targets in couples during sadness regulation.
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Affiliation(s)
- Wenhai Zhang
- School of Education Science, Hengyang Normal University, Hengyang 421002, China
- The Big Data Centre for Neuroscience and AI, Hengyang Normal University, Hengyang 421002, China
| | - Lanting Qiu
- School of Education Science, Hengyang Normal University, Hengyang 421002, China
| | - Fanggui Tang
- School of Education Science, Hengyang Normal University, Hengyang 421002, China
| | - Hong-Jin Sun
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON L8S 4L8, Canada
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Hakim U, De Felice S, Pinti P, Zhang X, Noah JA, Ono Y, Burgess PW, Hamilton A, Hirsch J, Tachtsidis I. Quantification of inter-brain coupling: A review of current methods used in haemodynamic and electrophysiological hyperscanning studies. Neuroimage 2023; 280:120354. [PMID: 37666393 DOI: 10.1016/j.neuroimage.2023.120354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 08/25/2023] [Accepted: 08/28/2023] [Indexed: 09/06/2023] Open
Abstract
Hyperscanning is a form of neuroimaging experiment where the brains of two or more participants are imaged simultaneously whilst they interact. Within the domain of social neuroscience, hyperscanning is increasingly used to measure inter-brain coupling (IBC) and explore how brain responses change in tandem during social interaction. In addition to cognitive research, some have suggested that quantification of the interplay between interacting participants can be used as a biomarker for a variety of cognitive mechanisms aswell as to investigate mental health and developmental conditions including schizophrenia, social anxiety and autism. However, many different methods have been used to quantify brain coupling and this can lead to questions about comparability across studies and reduce research reproducibility. Here, we review methods for quantifying IBC, and suggest some ways moving forward. Following the PRISMA guidelines, we reviewed 215 hyperscanning studies, across four different brain imaging modalities: functional near-infrared spectroscopy (fNIRS), functional magnetic resonance (fMRI), electroencephalography (EEG) and magnetoencephalography (MEG). Overall, the review identified a total of 27 different methods used to compute IBC. The most common hyperscanning modality is fNIRS, used by 119 studies, 89 of which adopted wavelet coherence. Based on the results of this literature survey, we first report summary statistics of the hyperscanning field, followed by a brief overview of each signal that is obtained from each neuroimaging modality used in hyperscanning. We then discuss the rationale, assumptions and suitability of each method to different modalities which can be used to investigate IBC. Finally, we discuss issues surrounding the interpretation of each method.
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Affiliation(s)
- U Hakim
- Department of Medical Physics and Biomedical Engineering, University College London, Malet Place Engineering Building, Gower Street, London WC1E 6BT, United Kingdom.
| | - S De Felice
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom; Department of Psychology, University of Cambridge, United Kingdom
| | - P Pinti
- Department of Medical Physics and Biomedical Engineering, University College London, Malet Place Engineering Building, Gower Street, London WC1E 6BT, United Kingdom; Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
| | - X Zhang
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - J A Noah
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - Y Ono
- Department of Electronics and Bioinformatics, School of Science and Technology, Meiji University, Kawasaki, Kanagawa, Japan
| | - P W Burgess
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom
| | - A Hamilton
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom
| | - J Hirsch
- Department of Medical Physics and Biomedical Engineering, University College London, Malet Place Engineering Building, Gower Street, London WC1E 6BT, United Kingdom; Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States; Departments of Neuroscience and Comparative Medicine, Yale School of Medicine, New Haven, CT, United States; Yale University, Wu Tsai Institute, New Haven, CT, United States
| | - I Tachtsidis
- Department of Medical Physics and Biomedical Engineering, University College London, Malet Place Engineering Building, Gower Street, London WC1E 6BT, United Kingdom
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Dziura SL, Hosangadi A, Shariq D, Merchant JS, Redcay E. Partner similarity and social cognitive traits predict social interaction success among strangers. Soc Cogn Affect Neurosci 2023; 18:nsad045. [PMID: 37698369 PMCID: PMC10516339 DOI: 10.1093/scan/nsad045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 07/02/2023] [Accepted: 09/07/2023] [Indexed: 09/13/2023] Open
Abstract
Social interactions are a ubiquitous part of engaging in the world around us, and determining what makes an interaction successful is necessary for social well-being. This study examined the separate contributions of individual social cognitive ability and partner similarity to social interaction success among strangers, measured by a cooperative communication task and self-reported interaction quality. Sixty participants engaged in a 1-h virtual social interaction with an unfamiliar partner (a laboratory confederate) including a 30-min cooperative 'mind-reading' game and then completed several individual tasks and surveys. They then underwent a separate functional MRI session in which they passively viewed video clips that varied in content. The neural responses to these videos were correlated with those of their confederate interaction partners to yield a measure of pairwise neural similarity. We found that trait empathy (assessed by the interpersonal reactivity index) and neural similarity to partner both predicted communication success in the mind-reading game. In contrast, perceived similarity to partner and (to a much lesser extent) trait mind-reading motivation predicted self-reported interaction quality. These results highlight the importance of sharing perspectives in successful communication as well as differences between neurobiological similarity and perceived similarity in supporting different types of interaction success.
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Affiliation(s)
- Sarah L Dziura
- Department of Psychology, University of Maryland, College Park, MD 20742, USA
| | - Aditi Hosangadi
- Center for Mind and Brain University of California Davis, Davis, CA 95618, USA
| | - Deena Shariq
- Department of Psychology, University of Maryland, College Park, MD 20742, USA
- Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD 20742, USA
| | - Junaid S Merchant
- Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD 20742, USA
| | - Elizabeth Redcay
- Department of Psychology, University of Maryland, College Park, MD 20742, USA
- Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD 20742, USA
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12
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Chen Z, Gao C, Li T, Ji X, Liu S, Xiao M. Open access dataset integrating EEG and fNIRS during Stroop tasks. Sci Data 2023; 10:618. [PMID: 37699935 PMCID: PMC10497617 DOI: 10.1038/s41597-023-02524-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 08/30/2023] [Indexed: 09/14/2023] Open
Abstract
Conflict monitoring and processing are crucial components of the human cognitive system, with significant implications for daily life and the diagnosis of cognitive disorders. The Stroop task, combined with brain function detection technology, has been widely employed as a classical paradigm for investigating conflict processing. However, there remains a lack of public datasets that integrate Electroencephalogram (EEG) and functional Near-infrared Spectroscopy (fNIRS) to simultaneously record brain activity during a Stroop task. We introduce a dual-modality Stroop task dataset incorporating 34-channel EEG (sampling frequency is 1000 Hz) and 20-channel high temporal resolution fNIRS (sampling frequency is 100 Hz) measurements covering the whole frontal cerebral cortex from 21 participants (9 females/12 males, aged 23.0 ± 2.3 years). Event-related potential analysis of EEG recordings and activation analysis of fNIRS recordings were performed to show the significant Stroop effect. We expected that the data provided would be utilized to investigate multimodal data processing algorithms during cognitive processing.
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Affiliation(s)
- Zemeng Chen
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China
| | - Chenyang Gao
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China
| | - Ting Li
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China.
| | - Xiang Ji
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China
| | - Shuyu Liu
- Applied Physiology and Kinesiology, College of Health and Human Performance, University of Florida, Gainesville, 32611, USA
| | - Ming Xiao
- Division of Information Science and Engineering, KTH Royal Institute of Technology, MALVINAS VÄG 10, 100 44, Stockholm, Sweden
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13
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Chen Y, Youk S, Wang PT, Pinti P, Weber R. A calculus of probability or belief? Neural underpinnings of social decision-making in a card game. Neuropsychologia 2023; 188:108635. [PMID: 37423422 DOI: 10.1016/j.neuropsychologia.2023.108635] [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: 09/29/2022] [Revised: 05/23/2023] [Accepted: 06/30/2023] [Indexed: 07/11/2023]
Abstract
For decades, the prefrontal cortex (PFC) has been the focus of social neuroscience research, specifically regarding its role in competitive social decision-making. However, the distinct contributions of PFC subregions when making strategic decisions involving multiple types of information (social, non-social, and mixed information) remain unclear. This study investigates decision-making strategies (pure probability calculation vs. mentalizing) and their neural representations using functional near-infrared spectroscopy (fNIRS) data collected during a two-person card game. We observed individual differences in information processing strategy, indicating that some participants relied more on probability than others. Overall, the use of pure probability decreased over time in favor of other types of information (e.g., mixed information), with this effect being more pronounced within-round trials than across rounds. In the brain, (1) the lateral PFC activates when decisions are driven by probability calculations; (2) the right lateral PFC responds to trial difficulty; and (3) the anterior medial PFC is engaged when decision-making involves mentalizing. Furthermore, neural synchrony, which reflects the real-time interplay between individuals' cognitive processes, did not consistently contribute to correct decisions and fluctuated throughout the experiment, suggesting a hierarchical mentalizing mechanism at work.
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Affiliation(s)
- Yibei Chen
- University of California Santa Barbara, Department of Communication - Media Neuroscience Lab, USA
| | - Sungbin Youk
- University of California Santa Barbara, Department of Communication - Media Neuroscience Lab, USA
| | - Paula T Wang
- University of California Santa Barbara, Department of Communication - Media Neuroscience Lab, USA
| | - Paola Pinti
- Birkbeck, University of London, Center for Brain and Cognitive Development, USA
| | - René Weber
- University of California Santa Barbara, Department of Communication - Media Neuroscience Lab, USA; University of California Santa Barbara, Department of Psychological and Brain Sciences, USA; Ewha Womans University, School of Communication and Media, South Korea.
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14
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Chen Z, Ji X, Li T, Gao C, Li G, Liu S, Zhang Y. Lateralization difference in functional activity during Stroop tasks: a functional near-infrared spectroscopy and EEG simultaneous study. Front Psychiatry 2023; 14:1221381. [PMID: 37680451 PMCID: PMC10481867 DOI: 10.3389/fpsyt.2023.1221381] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 08/08/2023] [Indexed: 09/09/2023] Open
Abstract
Introduction Conflict monitoring and processing is an important part of the human cognitive system, it plays a key role in many studies of cognitive disorders. Methods Based on a Chinese word-color match Stroop task, which included incongruent and neutral stimuli, the Electroencephalogram (EEG) and functional Near-infrared Spectroscopy (fNIRS) signals were recorded simultaneously. The Pearson correlation coefficient matrix was calculated to analyze brain connectivity based on EEG signals. Granger Causality (GC) method was employed to analyze the effective connectivity of bilateral frontal lobes. Wavelet Transform Coherence (WTC) was used to analyze the functional connectivity of the bilateral hemisphere and ipsilateral hemisphere. Results Results indicated that brain connectivity analysis on EEG signals did not show any significant lateralization, while fNIRS analysis results showed the frontal lobes especially the left frontal lobe play the leading role in dealing with conflict tasks. The human brain shows leftward lateralization while processing the more complicated incongruent stimuli. This is demonstrated by the higher functional connectivity in the left frontal lobe and the information flow from the left frontal lobe to the right frontal lobe. Discussion Our findings in brain connectivity during cognitive conflict processing demonstrated that the dual modality method combining EEG and fNIRS is a valuable tool to excavate more information through cognitive and physiological studies.
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Affiliation(s)
- Zemeng Chen
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Xiang Ji
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Ting Li
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Chenyang Gao
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Guorui Li
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Shuyu Liu
- Applied Physiology and Kinesiology, College of Health and Human Performance, University of Florida, Gainesville, FL, United States
| | - Yingyuan Zhang
- Academy of Opto-Electronics, China Electronics Technology Group Corporation, Tianjin, China
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15
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Zhang W, Qiu L, Tang F, Li H. Affective or cognitive interpersonal emotion regulation in couples: an fNIRS hyperscanning study. Cereb Cortex 2023; 33:7960-7970. [PMID: 36944535 DOI: 10.1093/cercor/bhad091] [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: 10/14/2022] [Revised: 02/24/2023] [Accepted: 02/25/2023] [Indexed: 03/23/2023] Open
Abstract
Sadness regulation is crucial for maintaining the romantic relationships of couples. Interpersonal emotion regulation, including affective engagement (AE) and cognitive engagement (CE), activates social brain networks. However, it is unclear how AE and CE regulate sadness in couples through affective bonds. We recruited 30 heterosexual couple dyads and 30 heterosexual stranger dyads and collected functional near-infrared spectroscopy hyperscanning data while each dyad watched sad or neutral videos and while the regulator regulated the target's sadness. Then, we characterized interbrain synchronization (IBS) and Granger causality (GC). The results indicated that AE and CE were more effective for couples than for strangers and that sadness evaluation of female targets was lower than that of male targets. CE-induced IBS at CH13 (BA10, right middle frontal gyrus) was lower for female targets than for male targets, while no gender difference in AE was detected. GC change at CH13 during CE was lower in the sad condition for male targets than for female targets, while no gender difference in AE was discovered. These observations suggest that AE and CE activate affective bonds but that CE was more effective for regulating sadness in female targets, revealing different neural patterns of cognitive and affective sadness regulation in couples.
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Affiliation(s)
- Wenhai Zhang
- The Big Data Centre for Neuroscience and AI, Hengyang Normal University, Hengyang 421002, China
- Mental Health Center, Yancheng Institute of Technology, Yancheng 224051, China
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, East China Normal University, Shanghai 200062, China
| | - Lanting Qiu
- The Big Data Centre for Neuroscience and AI, Hengyang Normal University, Hengyang 421002, China
| | - Fanggui Tang
- The Big Data Centre for Neuroscience and AI, Hengyang Normal University, Hengyang 421002, China
| | - Hong Li
- Key Laboratory of Brain Cognition and Educational Science, Ministry of Education; School of Psychology, South China Normal University, Guangzhou Guangdong, China
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16
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Yoo SH, Huang G, Hong KS. Physiological Noise Filtering in Functional Near-Infrared Spectroscopy Signals Using Wavelet Transform and Long-Short Term Memory Networks. Bioengineering (Basel) 2023; 10:685. [PMID: 37370616 DOI: 10.3390/bioengineering10060685] [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: 05/03/2023] [Revised: 05/26/2023] [Accepted: 06/02/2023] [Indexed: 06/29/2023] Open
Abstract
Activated channels of functional near-infrared spectroscopy are typically identified using the desired hemodynamic response function (dHRF) generated by a trial period. However, this approach is not possible for an unknown trial period. In this paper, an innovative method not using the dHRF is proposed, which extracts fluctuating signals during the resting state using maximal overlap discrete wavelet transform, identifies low-frequency wavelets corresponding to physiological noise, trains them using long-short term memory networks, and predicts/subtracts them during the task session. The motivation for prediction is to maintain the phase information of physiological noise at the start time of a task, which is possible because the signal is extended from the resting state to the task session. This technique decomposes the resting state data into nine wavelets and uses the fifth to ninth wavelets for learning and prediction. In the eighth wavelet, the prediction error difference between the with and without dHRF from the 15-s prediction window appeared to be the largest. Considering the difficulty in removing physiological noise when the activation period is near the physiological noise, the proposed method can be an alternative solution when the conventional method is not applicable. In passive brain-computer interfaces, estimating the brain signal starting time is necessary.
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Affiliation(s)
- So-Hyeon Yoo
- School of Mechanical Engineering, Pusan National University, 2 Busandaehak-ro, Geumjeong-gu, Busan 46241, Republic of Korea
| | - Guanghao Huang
- Institute for Future, School of Automation, Qingdao University, Qingdao 266071, China
| | - Keum-Shik Hong
- School of Mechanical Engineering, Pusan National University, 2 Busandaehak-ro, Geumjeong-gu, Busan 46241, Republic of Korea
- Institute for Future, School of Automation, Qingdao University, Qingdao 266071, China
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17
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Ni J, Jiang W, Gong X, Fan Y, Qiu H, Dou J, Zhang J, Wang H, Li C, Su M. Effect of rTMS intervention on upper limb motor function after stroke: A study based on fNIRS. Front Aging Neurosci 2023; 14:1077218. [PMID: 36711205 PMCID: PMC9880218 DOI: 10.3389/fnagi.2022.1077218] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 12/19/2022] [Indexed: 01/15/2023] Open
Abstract
Background Stroke is a disease with a high fatality rate worldwide and a major cause of long-term disability. In the rehabilitation of limb motor function after stroke, the rehabilitation of upper limb function takes a long time and the recovery progress is slow, which seriously affects the patients' self-care ability in daily life. Repeated transcranial magnetic stimulation (rTMS) has been increasingly used to improve limb dysfunction in patients with stroke. However, a standardized reference for selecting a magnetic stimulation regimen is not available. Whether to increase the inhibition of the contralateral hemispheric motor cortex remains controversial. This study has evaluated the effects of different rTMS stimulation programs on upper limb function and corresponding brain functional network characteristics of patients with stroke and sought a new objective standard based on changes in brain network parameters to guide accurate rTMS stimulation programs. Method Thirty-six patients with stroke were selected and divided into control group and treatment group by number table method, with 18 patients in each group, and 3 patients in the control group were turned out and lost due to changes in disease condition. The treatment group was divided into two groups. TMS1 group was given 1 Hz magnetic stimulation in the M1 region of the contralesional hemisphere +10 Hz magnetic stimulation in the M1 region of the affected hemisphere, and the TMS2 group was given 10 Hz magnetic stimulation in the M1 region of the affected hemisphere. The control group was given false stimulation. The treatment course was once a day for 5 days a week for 4 weeks. The Fugl-Meyer Assessment for upper extremity (FMA-UE) sand near-infrared brain function were collected before treatment, 2 weeks after treatment, and 4 weeks after treatment, and the brain function network was constructed. Changes in brain oxygenated hemoglobin concentration and brain network parameters were analyzed with the recovery of motor function (i.e., increased FMA score). Meanwhile, according to the average increment of brain network parameters, the rTMS stimulation group was divided into two groups with good efficacy and poor efficacy. Network parameters of the two groups before and after rTMS treatment were analyzed statistically. Results (1) Before treatment, there was no statistical difference in Fugl-Meyer score between the control group and the magnetic stimulation group (p = 0.178).Compared with before treatment, Fugl-Meyer scores of 2 and 4 weeks after treatment were significantly increased in both groups (p <0.001), and FMA scores of 4 weeks after treatment were significantly improved compared with 2 weeks after treatment (p < 0.001). FMA scores increased faster in the magnetic stimulation group at 2 and 4 weeks compared with the control group at the same time point (p <0.001).TMS1 and TMS2 were compared at the same time point, FMA score in TMS2 group increased more significantly after 4 weeks of treatment (p = 0.010). (2) Before treatment, HbO2 content in healthy sensory motor cortex (SMC) area of magnetic stimulation group and control group was higher than that in other region of interest (ROI) area, but there was no significant difference in ROI between the two groups. After 4 weeks of treatment, the HbO2 content in the healthy SMC area was significantly decreased (p < 0.001), while the HbO2 content in the affected SMC area was significantly increased, and the change was more significant in the magnetic stimulation group (p < 0.001). (3) In-depth study found that with the recovery of motor function (FMA upper limb score increase ≥4 points) after magnetic stimulation intervention, brain network parameters were significantly improved. The mean increment of network parameters in TMS1 group and TMS2 group was significantly different (χ 2 = 5.844, p = 0.016). TMS2 group was more advantageous than TMS1 group in improving the mean increment of brain network parameters. Conclusion (1) The rTMS treatment is beneficial to the recovery of upper limb motor function in stroke patients, and can significantly improve the intensity of brain network connection and reduce the island area. The island area refers to an isolated activated brain area that cannot transmit excitation to other related brain areas. (2) When the node degree of M1_Healthy region less than 0.52, it is suggested to perform promotion therapy only in the affected hemisphere. While the node degree greater than 0.52, and much larger than that in the M1_affected region. it is suggested that both inhibition in the contralesional hemisphere and high-frequency excitatory magnetic stimulation in the affected hemisphere can be performed. (3) In different brain functional network connection states, corresponding adjustment should be made to the treatment plan of rTMS to achieve optimal therapeutic effect and precise rehabilitation treatment.
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Affiliation(s)
- Jing Ni
- Department of Physical Medicine and Rehabilitation, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, Jiangsu, China,Department of Physical Medicine and Rehabilitation, Jiangsu Rongjun Hospital, Wuxi, Jiangsu, China
| | - Wei Jiang
- Department of Physical Medicine and Rehabilitation, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, Jiangsu, China,Department of Physical Medicine and Rehabilitation, Jiangsu Rongjun Hospital, Wuxi, Jiangsu, China
| | - Xueyang Gong
- Department of Physical Medicine and Rehabilitation, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, Jiangsu, China,Department of Physical Medicine and Rehabilitation, Wuxi International Tongren Rehabilitation Hospital, Wuxi, Jiangsu, China
| | - Yingjie Fan
- Department of Physical Medicine and Rehabilitation, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, Jiangsu, China,Institute of Rehabilitation Soochow University, Suzhou, Jiangsu, China
| | - Hao Qiu
- Department of Physical Medicine and Rehabilitation, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, Jiangsu, China,Institute of Rehabilitation Soochow University, Suzhou, Jiangsu, China
| | - Jiaming Dou
- Department of Physical Medicine and Rehabilitation, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, Jiangsu, China,Department of Physical Medicine and Rehabilitation, Wuxi International Tongren Rehabilitation Hospital, Wuxi, Jiangsu, China
| | - Juan Zhang
- Department of Physical Medicine and Rehabilitation, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, Jiangsu, China,First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Hongxing Wang
- Department of Rehabilitation Medicine, Zhongda Hospital Southeast University, Nanjing, Jiangsu, China,*Correspondence: Hongxing Wang, ✉
| | - Chunguang Li
- The Key Laboratory of Robotics and System of Jiangsu Province, School of Mechanical and Electric Engineering, Soochow University, Suzhou, Jiangsu, China,Chunguang Li, ✉
| | - Min Su
- Department of Physical Medicine and Rehabilitation, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, Jiangsu, China,Institute of Rehabilitation Soochow University, Suzhou, Jiangsu, China,First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China,Min Su, ✉
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18
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Russo C, Senese VP. Functional near-infrared spectroscopy is a useful tool for multi-perspective psychobiological study of neurophysiological correlates of parenting behaviour. Eur J Neurosci 2023; 57:258-284. [PMID: 36485015 DOI: 10.1111/ejn.15890] [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: 07/04/2022] [Revised: 12/02/2022] [Accepted: 12/08/2022] [Indexed: 12/13/2022]
Abstract
The quality of the relationship between caregiver and child has long-term effects on the cognitive and socio-emotional development of children. A process involved in human parenting is the bio-behavioural synchrony that occurs between the partners in the relationship during interaction. Through interaction, bio-behavioural synchronicity allows the adaptation of the physiological systems of the parent to those of the child and promotes the positive development and modelling of the child's social brain. The role of bio-behavioural synchrony in building social bonds could be investigated using functional near-infrared spectroscopy (fNIRS). In this paper we have (a) highlighted the importance of the quality of the caregiver-child relationship for the child's cognitive and socio-emotional development, as well as the relevance of infantile stimuli in the activation of parenting behaviour; (b) discussed the tools used in the study of the neurophysiological substrates of the parental response; (c) proposed fNIRS as a particularly suitable tool for the study of parental responses; and (d) underlined the need for a multi-systemic psychobiological approach to understand the mechanisms that regulate caregiver-child interactions and their bio-behavioural synchrony. We propose to adopt a multi-system psychobiological approach to the study of parental behaviour and social interaction.
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Affiliation(s)
- Carmela Russo
- Psychometric Laboratory, Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Vincenzo Paolo Senese
- Psychometric Laboratory, Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
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19
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Xu M, Morimoto S, Hoshino E, Suzuki K, Minagawa Y. Two-in-one system and behavior-specific brain synchrony during goal-free cooperative creation: an analytical approach combining automated behavioral classification and the event-related generalized linear model. NEUROPHOTONICS 2023; 10:013511. [PMID: 36789283 PMCID: PMC9917717 DOI: 10.1117/1.nph.10.1.013511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 01/13/2023] [Indexed: 06/18/2023]
Abstract
SIGNIFICANCE In hyperscanning studies of natural social interactions, behavioral coding is usually necessary to extract brain synchronizations specific to a particular behavior. The more natural the task is, the heavier the coding effort is. We propose an analytical approach to resolve this dilemma, providing insights and avenues for future work in interactive social neuroscience. AIM The objective is to solve the laborious coding problem for naturalistic hyperscanning by proposing a convenient analytical approach and to uncover brain synchronization mechanisms related to human cooperative behavior when the ultimate goal is highly free and creative. APPROACH This functional near-infrared spectroscopy hyperscanning study challenged a cooperative goal-free creative game in which dyads can communicate freely without time constraints and developed an analytical approach that combines automated behavior classification (computer vision) with a generalized linear model (GLM) in an event-related manner. Thirty-nine dyads participated in this study. RESULTS Conventional wavelet-transformed coherence (WTC) analysis showed that joint play induced robust between-brain synchronization (BBS) among the hub-like superior and middle temporal regions and the frontopolar and dorsomedial/dorsolateral prefrontal cortex (PFC) in the right hemisphere, in contrast to sparse within-brain synchronization (WBS). Contrarily, similar regions within a single brain showed strong WBS with similar connection patterns during independent play. These findings indicate a two-in-one system for performing creative problem-solving tasks. Further, WTC-GLM analysis combined with computer vision successfully extracted BBS, which was specific to the events when one of the participants raised his/her face to the other. This brain-to-brain synchrony between the right dorsolateral PFC and the right temporo-parietal junction suggests joint functioning of these areas when mentalization is necessary under situations with restricted social signals. CONCLUSIONS Our proposed analytical approach combining computer vision and WTC-GLM can be applied to extract inter-brain synchrony associated with social behaviors of interest.
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Affiliation(s)
- Mingdi Xu
- Keio University, Center for Life-span Development of Communication Skills, Yokohama, Japan
- Keio University, Global Research Institute, Tokyo, Japan
| | - Satoshi Morimoto
- Keio University, Center for Life-span Development of Communication Skills, Yokohama, Japan
- Keio University, Global Research Institute, Tokyo, Japan
| | - Eiichi Hoshino
- Keio University, Center for Life-span Development of Communication Skills, Yokohama, Japan
- Keio University, Global Research Institute, Tokyo, Japan
| | - Kenji Suzuki
- University of Tsukuba, Faculty of Engineering, Information and Systems, Tsukuba, Japan
| | - Yasuyo Minagawa
- Keio University, Center for Life-span Development of Communication Skills, Yokohama, Japan
- Keio University, Department of Psychology, Faculty of Letters, Tokyo, Japan
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20
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Angioletti L, Balconi M. Delta-Alpha EEG pattern reflects the interoceptive focus effect on interpersonal motor synchronization. FRONTIERS IN NEUROERGONOMICS 2022; 3:1012810. [PMID: 38235477 PMCID: PMC10790895 DOI: 10.3389/fnrgo.2022.1012810] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 10/13/2022] [Indexed: 01/19/2024]
Abstract
Little is known about how the modulation of the interoceptive focus impacts the neural correlates of high-level social processes, such as synchronization mechanisms. Therefore, the current study aims to explore the intraindividual electrophysiological (EEG) patterns induced by the interoceptive focus on breath when performing cognitive and motor tasks requiring interpersonal synchronization. A sample of 28 healthy caucasian adults was recruited and asked to perform two tasks requiring interpersonal synchronization during two distinct conditions: while focusing on the breath or without the focus on the breath. EEG frequency bands (delta, theta, alpha, and beta band) were recorded from the frontal, temporo-central, and parieto-occipital regions of interest. Significant results were observed for the delta and alpha bands. Notably, higher mean delta values and alpha desynchronization were observed in the temporo-central area during the focus on the breath condition when performing the motor compared to the cognitive synchronization task. Taken together these results could be interpreted considering the functional meaning of delta and alpha band in relation to motor synchronization. Indeed, motor delta oscillations shape the dynamics of motor behaviors and motor neural processes, while alpha band attenuation was previously observed during generation, observation, and imagery of movement and is considered to reflect cortical motor activity and action-perception coupling. Overall, the research shows that an EEG delta-alpha pattern emerges in the temporo-central areas at the intra-individual level, indicating the attention to visceral signals, particularly during interpersonal motor synchrony.
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Affiliation(s)
- Laura Angioletti
- International Research Center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, Milan, Italy
- Research Unit in Affective and Social Neuroscience, Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy
| | - Michela Balconi
- International Research Center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, Milan, Italy
- Research Unit in Affective and Social Neuroscience, Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy
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21
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Cheng X, Guo B, Hu Y. Distinct neural couplings to shared goal and action coordination in joint action: evidence based on fNIRS hyperscanning. Soc Cogn Affect Neurosci 2022; 17:956-964. [PMID: 35325237 PMCID: PMC9527463 DOI: 10.1093/scan/nsac022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 01/19/2022] [Accepted: 03/23/2022] [Indexed: 11/15/2022] Open
Abstract
Joint action is central to human nature, enabling individuals to coordinate in time and space to achieve a joint outcome. Such interaction typically involves two key elements: shared goal and action coordination. Yet, the substrates entrained to these two components in joint action remained unclear. In the current study, dyads performed two tasks involving both sharing goal and action coordination, i.e. complementary joint action and imitative joint action, a task only involving shared goal and a task only involving action coordination, while their brain activities were recorded by the functional near-infrared spectroscopy hyperscanning technique. The results showed that both complementary and imitative joint action (i.e. involving shared goal and action coordination) elicited better behavioral performance than the task only involving shared goal/action coordination. We observed that the interbrain synchronization (IBS) at the right inferior frontal cortex (IFC) entrained more to shared goal, while left-IFC IBS entrained more to action coordination. We also observed that the right-IFC IBS was greater during completing a complementary action than an imitative action. Our results suggest that IFC plays an important role in joint action, with distinct lateralization for the sub-components of joint action.
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Affiliation(s)
- Xiaojun Cheng
- School of Psychology, Shenzhen University, Shenzhen 518060, China
| | - Bing Guo
- School of Psychology, Shenzhen University, Shenzhen 518060, China
| | - Yinying Hu
- Institute of Brain and Education Innovation, East China Normal University, Shanghai 200062, China
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22
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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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23
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Angioletti L, Balconi M. EEG brain oscillations are modulated by interoception in response to a synchronized motor vs. cognitive task. Front Neuroanat 2022; 16:991522. [PMID: 36213612 PMCID: PMC9540215 DOI: 10.3389/fnana.2022.991522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 08/30/2022] [Indexed: 11/26/2022] Open
Abstract
So far, little is known about how conscious attention to internal body signals, that is, interoception, affects the synchronization with another person, a necessary or required social process that promotes affiliations and cooperation during daily joint social interactions. The effect of explicit interoceptive attentiveness (IA) modulation, conceived as the focus on the breath for a given time interval, on electrophysiological (EEG) correlates during an interpersonal motor task compared with a cognitive synchronization task was investigated in this study. A total of 28 healthy participants performed a motor and a cognitive synchronization task during the focus and no-focus breath conditions. During the tasks, frequency bands (delta, theta, alpha, and beta bands) from the frontal, temporo-central, and parieto-occipital regions of interest (ROIs) were acquired. According to the results, significantly higher delta and theta power were found in the focus condition in the frontal ROI during the execution of the motor than the cognitive synchronization task. Moreover, in the same experimental condition, delta and beta band power increased in the temporo-central ROI. The current study suggested two main patterns of frequency band modulation during the execution of a motor compared with the cognitive synchronization task while a person is focusing the attention on one's breath. This study can be considered as the first attempt to classify the different effects of interoceptive manipulation on motor and cognitive synchronization tasks using neurophysiological measures.
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Affiliation(s)
- Laura Angioletti
- International Research Center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, Milan, Italy
- Research Unit in Affective and Social Neuroscience, Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy
| | - Michela Balconi
- International Research Center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, Milan, Italy
- Research Unit in Affective and Social Neuroscience, Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy
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24
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Lin JFL, Imada T, Meltzoff AN, Hiraishi H, Ikeda T, Takahashi T, Hasegawa C, Yoshimura Y, Kikuchi M, Hirata M, Minabe Y, Asada M, Kuhl PK. Dual-MEG interbrain synchronization during turn-taking verbal interactions between mothers and children. Cereb Cortex 2022; 33:4116-4134. [PMID: 36130088 PMCID: PMC10068303 DOI: 10.1093/cercor/bhac330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 07/26/2022] [Accepted: 07/27/2022] [Indexed: 11/14/2022] Open
Abstract
Verbal interaction and imitation are essential for language learning and development in young children. However, it is unclear how mother-child dyads synchronize oscillatory neural activity at the cortical level in turn-based speech interactions. Our study investigated interbrain synchrony in mother-child pairs during a turn-taking paradigm of verbal imitation. A dual-MEG (magnetoencephalography) setup was used to measure brain activity from interactive mother-child pairs simultaneously. Interpersonal neural synchronization was compared between socially interactive and noninteractive tasks (passive listening to pure tones). Interbrain networks showed increased synchronization during the socially interactive compared to noninteractive conditions in the theta and alpha bands. Enhanced interpersonal brain synchrony was observed in the right angular gyrus, right triangular, and left opercular parts of the inferior frontal gyrus. Moreover, these parietal and frontal regions appear to be the cortical hubs exhibiting a high number of interbrain connections. These cortical areas could serve as a neural marker for the interactive component in verbal social communication. The present study is the first to investigate mother-child interbrain neural synchronization during verbal social interactions using a dual-MEG setup. Our results advance our understanding of turn-taking during verbal interaction between mother-child dyads and suggest a role for social "gating" in language learning.
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Affiliation(s)
- Jo-Fu Lotus Lin
- Institute for Learning & Brain Sciences (I-LABS), University of Washington, Portage Bay Building, University of Washington, Seattle, WA 98105, USA.,Research Center for Child Mental Development, Graduate School of Medical Science, Kanazawa University, 13-1 Takaramachi, Kanazawa-City, Ishikawa-Ken 920-8640, Japan.,Institute of Linguistics, National Tsing Hua University, 101, Section 2, Kuang-Fu Road, Hsinchu 300044, Taiwan
| | - Toshiaki Imada
- Institute for Learning & Brain Sciences (I-LABS), University of Washington, Portage Bay Building, University of Washington, Seattle, WA 98105, USA.,Research Center for Child Mental Development, Graduate School of Medical Science, Kanazawa University, 13-1 Takaramachi, Kanazawa-City, Ishikawa-Ken 920-8640, Japan
| | - Andrew N Meltzoff
- Institute for Learning & Brain Sciences (I-LABS), University of Washington, Portage Bay Building, University of Washington, Seattle, WA 98105, USA
| | - Hirotoshi Hiraishi
- Hamamatsu University School of Medicine, 1 Chome-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka 431-3192, Japan
| | - Takashi Ikeda
- Research Center for Child Mental Development, Graduate School of Medical Science, Kanazawa University, 13-1 Takaramachi, Kanazawa-City, Ishikawa-Ken 920-8640, Japan
| | | | - Chiaki Hasegawa
- Research Center for Child Mental Development, Graduate School of Medical Science, Kanazawa University, 13-1 Takaramachi, Kanazawa-City, Ishikawa-Ken 920-8640, Japan
| | - Yuko Yoshimura
- Research Center for Child Mental Development, Graduate School of Medical Science, Kanazawa University, 13-1 Takaramachi, Kanazawa-City, Ishikawa-Ken 920-8640, Japan
| | - Mitsuru Kikuchi
- Research Center for Child Mental Development, Graduate School of Medical Science, Kanazawa University, 13-1 Takaramachi, Kanazawa-City, Ishikawa-Ken 920-8640, Japan
| | - Masayuki Hirata
- Department of Neurosurgery, Osaka University Medical School, 2 Chome-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Yoshio Minabe
- Research Center for Child Mental Development, Graduate School of Medical Science, Kanazawa University, 13-1 Takaramachi, Kanazawa-City, Ishikawa-Ken 920-8640, Japan
| | - Minoru Asada
- Department of Adaptive Machine Systems, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Patricia K Kuhl
- Institute for Learning & Brain Sciences (I-LABS), University of Washington, Portage Bay Building, University of Washington, Seattle, WA 98105, USA
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25
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Crum J, Zhang X, Noah A, Hamilton A, Tachtsidis I, Burgess PW, Hirsch J. An Approach to Neuroimaging Interpersonal Interactions in Mental Health Interventions. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:669-679. [PMID: 35144035 PMCID: PMC9271588 DOI: 10.1016/j.bpsc.2022.01.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 12/31/2021] [Accepted: 01/25/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND Conventional paradigms in clinical neuroscience tend to be constrained in terms of ecological validity, raising several challenges to studying the mechanisms mediating treatments and outcomes in clinical settings. Addressing these issues requires real-world neuroimaging techniques that are capable of continuously collecting data during free-flowing interpersonal interactions and that allow for experimental designs that are representative of the clinical situations in which they occur. METHODS In this work, we developed a paradigm that fractionates the major components of human-to-human verbal interactions occurring in clinical situations and used functional near-infrared spectroscopy to assess the brain systems underlying clinician-client discourse (N = 30). RESULTS Cross-brain neural coupling between people was significantly greater during clinical interactions compared with everyday life verbal communication, particularly between the prefrontal cortex (e.g., inferior frontal gyrus) and inferior parietal lobule (e.g., supramarginal gyrus). The clinical tasks revealed extensive increases in activity across the prefrontal cortex, especially in the rostral prefrontal cortex (area 10), during periods in which participants were required to silently reason about the dysfunctional cognitions of the other person. CONCLUSIONS This work demonstrates a novel experimental approach to investigating the neural underpinnings of interpersonal interactions that typically occur in clinical settings, and its findings support the idea that particular prefrontal systems might be critical to cultivating mental health.
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Affiliation(s)
- James Crum
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom.
| | - Xian Zhang
- Brain Function Laboratory, Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Adam Noah
- Brain Function Laboratory, Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Antonia Hamilton
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom
| | - Ilias Tachtsidis
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Paul W Burgess
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom
| | - Joy Hirsch
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom; Brain Function Laboratory, Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut; Department of Neuroscience, Yale School of Medicine, New Haven, Connecticut; Department of Comparative Medicine, Yale School of Medicine, New Haven, Connecticut
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26
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Watanabe H, Shimojo A, Yagyu K, Sonehara T, Takano K, Boasen J, Shiraishi H, Yokosawa K, Saito T. Construction of a fiber-optically connected MEG hyperscanning system for recording brain activity during real-time communication. PLoS One 2022; 17:e0270090. [PMID: 35737703 PMCID: PMC9223398 DOI: 10.1371/journal.pone.0270090] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 06/06/2022] [Indexed: 12/19/2022] Open
Abstract
Communication is one of the most important abilities in human society, which makes clarification of brain functions that underlie communication of great importance to cognitive neuroscience. To investigate the rapidly changing cortical-level brain activity underlying communication, a hyperscanning system with both high temporal and spatial resolution is extremely desirable. The modality of magnetoencephalography (MEG) would be ideal, but MEG hyperscanning systems suitable for communication studies remain rare. Here, we report the establishment of an MEG hyperscanning system that is optimized for natural, real-time, face-to-face communication between two adults in sitting positions. Two MEG systems, which are installed 500m away from each other, were directly connected with fiber optic cables. The number of intermediate devices was minimized, enabling transmission of trigger and auditory signals with almost no delay (1.95-3.90 μs and 3 ms, respectively). Additionally, video signals were transmitted at the lowest latency ever reported (60-100 ms). We furthermore verified the function of an auditory delay line to synchronize the audio with the video signals. This system is thus optimized for natural face-to-face communication, and additionally, music-based communication which requires higher temporal accuracy is also possible via audio-only transmission. Owing to the high temporal and spatial resolution of MEG, our system offers a unique advantage over existing hyperscanning modalities of EEG, fNIRS, or fMRI. It provides novel neuroscientific methodology to investigate communication and other forms of social interaction, and could potentially aid in the development of novel medications or interventions for communication disorders.
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Affiliation(s)
- Hayato Watanabe
- Department of Child and Adolescent Psychiatry, Hokkaido University Hospital, Sapporo, Hokkaido, Japan
- Department of Child Studies, Toyooka Junior College, Toyooka, Hyogo, Japan
- Faculty of Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Atsushi Shimojo
- Faculty of Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan
- Department of Pediatrics, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan
| | - Kazuyori Yagyu
- Department of Child and Adolescent Psychiatry, Hokkaido University Hospital, Sapporo, Hokkaido, Japan
| | - Tsuyoshi Sonehara
- Research and Development Group, Hitachi Ltd., Sapporo, Hokkaido, Japan
| | - Kazuyoshi Takano
- Graduate school of Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Jared Boasen
- Faculty of Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan
- Tech3Lab, HEC Montréal, Montreal, Quebec, Canada
| | - Hideaki Shiraishi
- Department of Pediatrics, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan
| | - Koichi Yokosawa
- Faculty of Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan
- * E-mail:
| | - Takuya Saito
- Department of Child and Adolescent Psychiatry, Hokkaido University Hospital, Sapporo, Hokkaido, Japan
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27
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H Myers M, Hossain G. Dual EEG alignment between participants during shared intentionality experiments. Brain Res 2022; 1790:147986. [PMID: 35714711 DOI: 10.1016/j.brainres.2022.147986] [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: 04/22/2022] [Revised: 06/08/2022] [Accepted: 06/10/2022] [Indexed: 11/18/2022]
Abstract
Electroencephalograph (EEG) analysis from human subjects have demonstrated that beta oscillations carried perceptual information across the cortex featuring amplitude and phase modulation occurrences when subjects are engaged in task-oriented activities. A hypothesis was tested that synchronized patterns could be found in the scalp EEG of two human subjects engaged in similar intentional activity. Signals were recorded from scalp electrodes and band-pass filtered. The Hilbert transform decomposes the EEG signals into the analytic phase and amplitude. With these components of the EEG signal, a systematic search of the alpha, beta, delta, gamma, and theta spectrum is executed to locate temporal patterns. The amplitude and phase modulation were classified with respect to task intervals. Temporal patterns were found in the alpha-beta range (15-30 Hz). Our results suggest that the scalp EEG can yield information about the timing of episodically synchronized brain activity in higher cognitive function between two individuals engaged in similar task-oriented activities.
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Affiliation(s)
- Mark H Myers
- Department of Anatomy and Neurobiology, University of Tennessee Health Sciences Center, Memphis, TN, United States.
| | - Gahangir Hossain
- Department of Computer and Information Systems, West Texas A&M University, Canyon, TX, United States
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28
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Al-Shargie F, Katmah R, Tariq U, Babiloni F, Al-Mughairbi F, Al-Nashash H. Stress management using fNIRS and binaural beats stimulation. BIOMEDICAL OPTICS EXPRESS 2022; 13:3552-3575. [PMID: 35781942 PMCID: PMC9208616 DOI: 10.1364/boe.455097] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/21/2022] [Accepted: 05/19/2022] [Indexed: 06/15/2023]
Abstract
In this study, we investigate the effectiveness of binaural beats stimulation (BBs) in enhancing cognitive vigilance and mitigating mental stress level at the workplace. We developed an experimental protocol under four cognitive conditions: high vigilance (HV), vigilance enhancement (VE), mental stress (MS) and stress mitigation (SM). The VE and SM conditions were achieved by listening to 16 Hz of BBs. We assessed the four cognitive conditions using salivary alpha-amylase, behavioral responses, and Functional Near-Infrared Spectroscopy (fNIRS). We quantified the vigilance and stress levels using the reaction time (RT) to stimuli, accuracy of detection, and the functional connectivity metrics of the fNIRS estimated by Phase Locking Values (PLV). We propose using the orthogonal minimum spanning tree (OMST) to determine the true connectivity network patterns of the PLV. Our results show that listening to 16-Hz BBs has significantly reduced the level of alpha amylase by 44%, reduced the RT to stimuli by 20% and increased the accuracy of target detection by 25%, (p < 0.001). The analysis of the connectivity network across the four different cognitive conditions revealed several statistically significant trends. Specifically, a significant increase in connectivity between the right and left dorsolateral prefrontal cortex (DLPFC) areas and left orbitofrontal cortex was found during the vigilance enhancement condition compared to the high vigilance. Likewise, similar patterns were found between the right and left DLPFC, orbitofrontal cortex, right ventrolateral prefrontal cortex (VLPFC) and right frontopolar PFC (prefrontal cortex) area during stress mitigation compared to mental stress. Furthermore, the connectivity network under stress condition alone showed significant connectivity increase between the VLPFC and DLPFC compared to other areas. The laterality index demonstrated left frontal laterality under high vigilance and VE conditions, and right DLPFC and left frontopolar PFC while under mental stress. Overall, our results showed that BBs can be used for vigilance enhancement and stress mitigation.
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Affiliation(s)
- Fares Al-Shargie
- Department of Electrical Engineering, American University of Sharjah, Sharjah, P.O. Box 26666, United Arab Emirates
- Biomedical Engineering Graduate Program, American University of Sharjah, Sharjah, P.O. Box 26666, United Arab Emirates
| | - Rateb Katmah
- Biomedical Engineering Graduate Program, American University of Sharjah, Sharjah, P.O. Box 26666, United Arab Emirates
| | - Usman Tariq
- Department of Electrical Engineering, American University of Sharjah, Sharjah, P.O. Box 26666, United Arab Emirates
- Biomedical Engineering Graduate Program, American University of Sharjah, Sharjah, P.O. Box 26666, United Arab Emirates
| | - Fabio Babiloni
- Department Molecular Medicine, University of Sapienza Rome, 00185 Rome, Italy
| | - Fadwa Al-Mughairbi
- Department of Clinical Psychology, College of Medicines and Health Sciences, UAE University, Al Ain, United Arab Emirates
| | - Hasan Al-Nashash
- Department of Electrical Engineering, American University of Sharjah, Sharjah, P.O. Box 26666, United Arab Emirates
- Biomedical Engineering Graduate Program, American University of Sharjah, Sharjah, P.O. Box 26666, United Arab Emirates
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29
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Zhou S, Zhang Y, Fu Y, Wu L, Li X, Zhu N, Li D, Zhang M. The Effect of Task Performance and Partnership on Interpersonal Brain Synchrony during Cooperation. Brain Sci 2022; 12:brainsci12050635. [PMID: 35625021 PMCID: PMC9139361 DOI: 10.3390/brainsci12050635] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Revised: 05/05/2022] [Accepted: 05/09/2022] [Indexed: 11/16/2022] Open
Abstract
Interpersonal brain synchrony (IBS) during cooperation has not been systematically investigated. To address this research gap, this study assessed neural synchrony during a cooperative jigsaw puzzle solving task using functional near-infrared spectroscopy (fNIRS)-based hyperscanning. IBS was measured for successful and failed tasks in 31 dyads in which the partners were familiar or unknown to each other. No significant difference in IBS was observed between the different types of cooperative partnership; however, stronger IBS within regions of the pars triangularis Broca’s area, right frontopolar cortex, and right temporoparietal junction was observed during task success. These results highlight the effect of better task performance on cooperative IBS for the first time and further extend understanding of the neural basis of cooperation.
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Affiliation(s)
- Shujin Zhou
- Department of Psychology, Shanghai Normal University, Shanghai 100 Guilin Road, Xuhui District, Shanghai 200234, China; (S.Z.); (Y.Z.); (Y.F.); (L.W.); (X.L.); (N.Z.); (D.L.)
| | - Yuxuan Zhang
- Department of Psychology, Shanghai Normal University, Shanghai 100 Guilin Road, Xuhui District, Shanghai 200234, China; (S.Z.); (Y.Z.); (Y.F.); (L.W.); (X.L.); (N.Z.); (D.L.)
| | - Yiwen Fu
- Department of Psychology, Shanghai Normal University, Shanghai 100 Guilin Road, Xuhui District, Shanghai 200234, China; (S.Z.); (Y.Z.); (Y.F.); (L.W.); (X.L.); (N.Z.); (D.L.)
| | - Lingling Wu
- Department of Psychology, Shanghai Normal University, Shanghai 100 Guilin Road, Xuhui District, Shanghai 200234, China; (S.Z.); (Y.Z.); (Y.F.); (L.W.); (X.L.); (N.Z.); (D.L.)
| | - Xiaodie Li
- Department of Psychology, Shanghai Normal University, Shanghai 100 Guilin Road, Xuhui District, Shanghai 200234, China; (S.Z.); (Y.Z.); (Y.F.); (L.W.); (X.L.); (N.Z.); (D.L.)
| | - Ningning Zhu
- Department of Psychology, Shanghai Normal University, Shanghai 100 Guilin Road, Xuhui District, Shanghai 200234, China; (S.Z.); (Y.Z.); (Y.F.); (L.W.); (X.L.); (N.Z.); (D.L.)
| | - Dan Li
- Department of Psychology, Shanghai Normal University, Shanghai 100 Guilin Road, Xuhui District, Shanghai 200234, China; (S.Z.); (Y.Z.); (Y.F.); (L.W.); (X.L.); (N.Z.); (D.L.)
| | - Mingming Zhang
- Department of Psychology, Shanghai Normal University, Shanghai 100 Guilin Road, Xuhui District, Shanghai 200234, China; (S.Z.); (Y.Z.); (Y.F.); (L.W.); (X.L.); (N.Z.); (D.L.)
- College of Marxism, Kashgar Vocational and Technical College, Kashgar, Xinjiang 844000, China
- Correspondence: ; Tel.: +86-137-7669-9751
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30
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Krendl AC, Betzel RF. Social cognitive network neuroscience. Soc Cogn Affect Neurosci 2022; 17:510-529. [PMID: 35352125 PMCID: PMC9071476 DOI: 10.1093/scan/nsac020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 01/27/2022] [Accepted: 03/10/2022] [Indexed: 12/31/2022] Open
Abstract
Over the past three decades, research from the field of social neuroscience has identified a constellation of brain regions that relate to social cognition. Although these studies have provided important insights into the specific neural regions underlying social behavior, they may overlook the broader neural context in which those regions and the interactions between them are embedded. Network neuroscience is an emerging discipline that focuses on modeling and analyzing brain networks-collections of interacting neural elements. Because human cognition requires integrating information across multiple brain regions and systems, we argue that a novel social cognitive network neuroscience approach-which leverages methods from the field of network neuroscience and graph theory-can advance our understanding of how brain systems give rise to social behavior. This review provides an overview of the field of network neuroscience, discusses studies that have leveraged this approach to advance social neuroscience research, highlights the potential contributions of social cognitive network neuroscience to understanding social behavior and provides suggested tools and resources for conducting network neuroscience research.
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Affiliation(s)
- Anne C Krendl
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN 47405, USA
| | - Richard F Betzel
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN 47405, USA
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31
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Tyagi O, Mehta RK. Mind over body: A neuroergonomic approach to assessing motor performance under stress in older adults. APPLIED ERGONOMICS 2022; 101:103691. [PMID: 35086006 DOI: 10.1016/j.apergo.2022.103691] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 12/20/2021] [Accepted: 01/14/2022] [Indexed: 06/14/2023]
Abstract
Stress impairs motor performance, which is exacerbated with age. Stress also impairs brain activity in the prefrontal cortex, which communicates with the motor areas of the brain to regulate exercise and motor performance. To develop ergogenic strategies for the aging workforce, mind (brain)-body mechanisms behind the effect of stress on neuromuscular performance need to be well understood. This study investigated the influence of social stress on motor performance and information flow between the frontal and motor regions of the brain during intermittent handgrip contractions among older adults. Thirty older adults, balanced by gender, performed intermittent handgrip contractions at 30% of maximum strength before and after being subjected to a social stressor. Force steadiness, strength loss, root mean square electromyogram (EMG) activity, activation of the brain regions, and functional and effective connectivity between the frontal and motor brain regions were computed for pre- and post-stressor handgrip contractions. Older men exhibited improved motor performance after the stressor and concomitant reduction in functional connectivity between the frontal-motor brain regions ipsilateral to the contracting hand. Additionally, while both sexes exhibited significant causal information flow, i.e., effective connectivity, from the frontal to the motor regions of the brain, irrespective of the stressor, older women exhibited a bidirectional effective connectivity between the frontal-motor brain regions after the stressor. Stress had a facilitative effect on the motor performance of older men through compensatory brain network reorganization. Older women exhibited comparable motor performance pre/post stress, despite showing an increase in bidirectional information flow between the frontal-motor areas. Employing brain hemodynamics can facilitate better understanding of the impact of stress on neuromuscular performance and its differential impacts on brain network reorganization between the sexes.
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Affiliation(s)
- Oshin Tyagi
- Wm. Michael Barnes '64 Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, 77843, USA
| | - Ranjana K Mehta
- Wm. Michael Barnes '64 Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, 77843, USA; J. Mike Walker '66 Department of Mechanical Engineering, Texas A&M University, College Station, TX, 77843, USA.
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32
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Nonlinear directed information flow estimation for fNIRS brain network analysis based on the modified multivariate transfer entropy. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2021.103422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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33
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Guglielmini S, Bopp G, Marcar VL, Scholkmann F, Wolf M. Systemic physiology augmented functional near-infrared spectroscopy hyperscanning: a first evaluation investigating entrainment of spontaneous activity of brain and body physiology between subjects. NEUROPHOTONICS 2022; 9:026601. [PMID: 35449706 PMCID: PMC9016073 DOI: 10.1117/1.nph.9.2.026601] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 03/18/2022] [Indexed: 05/27/2023]
Abstract
Significance: Functional near-infrared spectroscopy (fNIRS) enables measuring the brain activity of two subjects while they interact, i.e., the hyperscanning approach. Aim: In our exploratory study, we extended classical fNIRS hyperscanning by adding systemic physiological measures to obtain systemic physiology augmented fNIRS (SPA-fNIRS) hyperscanning while blocking and not blocking the visual communication between the subjects. This approach enables access brain-to-brain, brain-to-body, and body-to-body coupling between the subjects simultaneously. Approach: Twenty-four pairs of subjects participated in the experiment. The paradigm consisted of two subjects that sat in front of each other and had their eyes closed for 10 min, followed by a phase of 10 min where they made eye contact. Brain and body activity was measured continuously by SPA-fNIRS. Results: Our study shows that making eye contact for a prolonged time causes significant changes in brain-to-brain, brain-to-body, and body-to-body coupling, indicating that eye contact is followed by entrainment of the physiology between subjects. Subjects that knew each other generally showed a larger trend to change between the two conditions. Conclusions: The main point of this study is to introduce a new framework to investigate brain-to-brain, body-to-body, and brain-to-body coupling through a simple social experimental paradigm. The study revealed that eye contact leads to significant synchronization of spontaneous activity of the brain and body physiology. Our study is the first that employed the SPA-fNIRS approach and showed its usefulness to investigate complex interpersonal physiological changes.
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Affiliation(s)
- Sabino Guglielmini
- University of Zurich, University Hospital Zurich, Department of Neonatology, Biomedical Optics Research Laboratory, Zurich, Switzerland
| | - Gino Bopp
- University of Zurich, University Hospital Zurich, Department of Neonatology, Biomedical Optics Research Laboratory, Zurich, Switzerland
| | - Valentine L. Marcar
- University of Zurich, University Hospital Zurich, Department of Neonatology, Biomedical Optics Research Laboratory, Zurich, Switzerland
- University Hospital Zürich, Comprehensive Cancer Center Zürich, Zürich, Switzerland
| | - Felix Scholkmann
- University of Zurich, University Hospital Zurich, Department of Neonatology, Biomedical Optics Research Laboratory, Zurich, Switzerland
- University of Bern, Institute of Complementary and Integrative Medicine, Bern, Switzerland
| | - Martin Wolf
- University of Zurich, University Hospital Zurich, Department of Neonatology, Biomedical Optics Research Laboratory, Zurich, Switzerland
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Hu Y, Cheng X, Pan Y, Hu Y. The intrapersonal and interpersonal consequences of interpersonal synchrony. Acta Psychol (Amst) 2022; 224:103513. [PMID: 35093851 DOI: 10.1016/j.actpsy.2022.103513] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 01/19/2022] [Accepted: 01/20/2022] [Indexed: 11/25/2022] Open
Abstract
Interpersonal synchrony, the time-matching behaviors, is pervasive in human interactions. This resonation of movements or other forms was generally considered as one of critical survival skills for humans, as the important consequences of synchronizing with other persons in review of the empirical data in this article. These include positive affects towards and between interacting partners, but also include complex effects on the individual level. The intrapersonal effects of interpersonal synchrony are varied with positive or negative ones, including cognitive style, attitude bias, mood state, self-regulatory ability, and academic performance. At the interpersonal level, synchronized movement consistently affects the interaction with the partner and his/her affiliations, but they can be eliminated or magnified by several moderators, such as physiological arousal, shared intentionality, group bias, and musical rhythm. Finally, the research discussed the possible mechanisms underlying the effects of interpersonal synchrony in psychological and biological aspects.
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Interoceptive Attentiveness Induces Significantly More PFC Activation during a Synchronized Linguistic Task Compared to a Motor Task as Revealed by Functional Near-Infrared Spectroscopy. Brain Sci 2022; 12:brainsci12030301. [PMID: 35326258 PMCID: PMC8946073 DOI: 10.3390/brainsci12030301] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 02/21/2022] [Accepted: 02/22/2022] [Indexed: 12/04/2022] Open
Abstract
Currently, there is little understanding of how interoceptive attentiveness (IA) affects brain responses during synchronized cognitive or motor tasks. This pilot study explored the effect of explicit IA manipulation on hemodynamic correlates of simple cognitive tasks implying linguistic or motor synchronization. Eighteen healthy participants completed two linguistic and motor synchronization tasks during explicit IA and control conditions while oxygenated (O2Hb) and deoxygenated (HHb) hemoglobin variations were recorded by functional Near-Infrared Spectroscopy (fNIRS). The findings suggested that the brain regions associated with sustained attention, such as the right prefrontal cortex (PFC), were more involved when an explicit focus on the breath was induced during the cognitive linguistic task requiring synchronization with a partner, as indicated by increased O2Hb. Interestingly, this effect was not significant for the motor task. In conclusion, for the first time, this pilot research found increased activity in neuroanatomical regions that promote sustained attention, attention reorientation, and synchronization when a joint task is carried out and the person is focusing on their physiological body reactions. Moreover, the results suggested that the benefits of conscious concentration on physiological interoceptive correlates while executing a task demanding synchronization, particularly verbal alignment, may be related to the right PFC.
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36
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Balconi M, Fronda G. Autonomic system tuning during gesture observation and reproduction. Acta Psychol (Amst) 2022; 222:103477. [PMID: 34971949 DOI: 10.1016/j.actpsy.2021.103477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 10/06/2021] [Accepted: 12/15/2021] [Indexed: 11/01/2022] Open
Abstract
Gestural communication allows providing information about thoughts and feelings, characterizing face-to-face interactions, also during non-verbal exchanges. In the present study, the autonomic responses and peripheral synchronization mechanisms of two individuals (encoder and decoder) were recorded simultaneously, through the use of biofeedback in hyperscanning, during two different experimental phases consisting in the observation (watching videos of gestures) and reproduction of positive and negative different types of gestures (affective, social and informative) supported by linguistic contexts. Therefore, the main aim of this study was focused on the analysis of simultaneous individuals' peripheral mechanisms during the performing of complex joint action, consisting of the observation (watching videos) and the reproduction of positive and negative social, affective, and informative gestures each supported by a linguistic script. Single-subject and inter-subject correlation analyses were conducted to observe individuals' autonomic responses and physiological synchronization. Single-subject results revealed an increase in emotional arousal, indicated by an increase in electrodermal activity (skin conductance level - SCL and response - SCR), during both the observation (watching videos) and reproduction of negative social and affective gestures contextualized by a linguistic context. Moreover, an increase of emotional engagement, expressed by an increase in heart rate (HR) activity, emerged in the encoder compare to the decoder during gestures reproduction (simulation of gestures). Inter-subject correlation results showed the presence of mirroring mechanisms, indicated by an increase in SCL, SCR, and HR synchronization, during the linguistic contexts and gesture observation (watching videos). Furthermore, an increase in SCL and SCR synchronization emerged during the observation (watching videos) and reproduction of negative social and affective gestures. Therefore, the present study allowed to obtain information on the mirroring mechanisms and physiological synchronization underlying the linguistic and gesture system during non-verbal interaction.
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Gao C, Shu L, Li T. Studying hemispheric lateralization of 4-month-old infants from different language groups through near-infrared spectroscopy-based connectivity. Front Psychiatry 2022; 13:1049719. [PMID: 36506453 PMCID: PMC9731572 DOI: 10.3389/fpsyt.2022.1049719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 11/04/2022] [Indexed: 11/25/2022] Open
Abstract
INTRODUCTION Early monolingual versus bilingual experience affects linguistic and cognitive processes during the first months of life, as well as functional activation patterns. The previous study explored the influence of a bilingual environment in the first months of life on resting-state functional connectivity and reported no significant difference between language groups. METHODS To further explore the influence of a bilingual environment on brain development function, we used the resting-state functional near-infrared spectroscopy public dataset of the 4-month-old infant group in the sleep state (30 Spanish; 33 Basque; 36 bilingual). Wavelet Transform Coherence, graph theory, and Granger causality methods were performed on the functional connectivity of the frontal lobes. RESULTS The results showed that functional connectivity strength was significantly higher in the left hemisphere than that in the right hemisphere in both monolingual and bilingual groups. The graph theoretic analysis showed that the characteristic path length was significantly higher in the left hemisphere than in the right hemisphere for the bilingual infant group. Contrary to the monolingual infant group, the left-to-right direction of information flow was found in the frontal regions of the bilingual infant group in the effective connectivity analysis. DISCUSSION The results suggested that the left hemispheric lateralization of functional connectivity in frontal regions is more pronounced in the bilingual group compared to the monolingual group. Furthermore, effective connectivity analysis may be a useful method to investigate the resting-state brain networks of infants.
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Affiliation(s)
- Chenyang Gao
- Laboratory of Artificial Intelligence Theranostics, Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Leijin Shu
- Laboratory of Artificial Intelligence Theranostics, Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Ting Li
- Laboratory of Artificial Intelligence Theranostics, Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
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Is the creativity of lovers better? A behavioral and functional near-infrared spectroscopy hyperscanning study. CURRENT PSYCHOLOGY 2022. [DOI: 10.1007/s12144-020-01093-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Abstract
Clinical neuroimaging has largely been limited to examining the neurophysiological outcomes of treatments for psychiatric conditions rather than the neurocognitive mechanisms by which these outcomes are brought about as a function of clinical strategies, and the cognitive neuroscientific research aiming to investigate these mechanisms in nonclinical and clinical populations has been ecologically challenged by the extent to which tasks represent and generalize to intervention strategies. However, recent technological and methodological advancements to neuroimaging techniques such as functional near-infrared spectroscopy and functional near-infrared spectroscopy-based hyperscanning provide novel opportunities to investigate the mechanisms of change in more naturalistic and interactive settings, representing a unique prospect for improving our understanding of the intra- and interbrain systems supporting the recogitation of dysfunctional cognitive operations.
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Affiliation(s)
- James E. Crum II
- Institute of Cognitive Neuroscience, University College
London, London, UK
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Intermittent Sequential Pneumatic Compression Improves Coupling between Cerebral Oxyhaemoglobin and Arterial Blood Pressure in Patients with Cerebral Infarction. BIOLOGY 2021; 10:biology10090869. [PMID: 34571746 PMCID: PMC8470335 DOI: 10.3390/biology10090869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 08/31/2021] [Accepted: 09/01/2021] [Indexed: 11/16/2022]
Abstract
This study aims to explore the effect of intermittent sequential pneumatic compression (ISPC) intervention on the coupling relationship between arterial blood pressure (ABP) and changes in oxyhaemoglobin (Δ [O2Hb]). The coupling strength between the two physiological systems was estimated using a coupling function based on dynamic Bayesian inference. The participants were 22 cerebral infarction patients and 20 age- and sex-matched healthy controls. Compared with resting state, the coupling strength from ABP to Δ [O2Hb] oscillations was significantly lower in the bilateral prefrontal cortex (PFC), sensorimotor cortex (SMC), and temporal lobe cortex (TLC) during the ISPC intervention in cerebral infarction patients in interval II. Additionally, the coupling strength was significantly lower in the bilateral SMC in both groups in interval III. These findings indicate that ISPC intervention may facilitate cerebral circulation in the bilateral PFC, SMC, and TLC in cerebral infarction patients. ISPC may promote motor function recovery through its positive influences on motor-related networks. Furthermore, the coupling between Δ [O2Hb] and ABP allows non-invasive assessments of autoregulatory function to quantitatively assess the effect of rehabilitation tasks and to guide therapy in clinical situations.
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41
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Takeuchi N, Izumi SI. Motor Learning Based on Oscillatory Brain Activity Using Transcranial Alternating Current Stimulation: A Review. Brain Sci 2021; 11:1095. [PMID: 34439714 PMCID: PMC8392205 DOI: 10.3390/brainsci11081095] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 08/17/2021] [Accepted: 08/18/2021] [Indexed: 12/15/2022] Open
Abstract
Developing effective tools and strategies to promote motor learning is a high-priority scientific and clinical goal. In particular, motor-related areas have been investigated as potential targets to facilitate motor learning by noninvasive brain stimulation (NIBS). In addition to shedding light on the relationship between motor function and oscillatory brain activity, transcranial alternating current stimulation (tACS), which can noninvasively entrain oscillatory brain activity and modulate oscillatory brain communication, has attracted attention as a possible technique to promote motor learning. This review focuses on the use of tACS to enhance motor learning through the manipulation of oscillatory brain activity and its potential clinical applications. We discuss a potential tACS-based approach to ameliorate motor deficits by correcting abnormal oscillatory brain activity and promoting appropriate oscillatory communication in patients after stroke or with Parkinson's disease. Interpersonal tACS approaches to manipulate intra- and inter-brain communication may result in pro-social effects and could promote the teaching-learning process during rehabilitation sessions with a therapist. The approach of re-establishing oscillatory brain communication through tACS could be effective for motor recovery and might eventually drive the design of new neurorehabilitation approaches based on motor learning.
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Affiliation(s)
- Naoyuki Takeuchi
- Department of Physical Therapy, Akita University Graduate School of Health Sciences 1-1-1, Hondo, Akita 010-8543, Japan
| | - Shin-Ichi Izumi
- Department of Physical Medicine and Rehabilitation, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan;
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Zhang C, Modlesky CM, McCully KK. Measuring tibial hemodynamics and metabolism at rest and after exercise using near-infrared spectroscopy. Appl Physiol Nutr Metab 2021; 46:1354-1362. [PMID: 34019778 DOI: 10.1139/apnm-2021-0135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The bone vascular system is important, yet evaluation of bone hemodynamics is difficult and expensive. This study evaluated the utility and reliability of near-infrared spectroscopy (NIRS), a portable and relatively inexpensive device, in measuring tibial hemodynamics and metabolic rate. Eleven participants were tested twice using post-occlusive reactive hyperemia technique with the NIRS probes placed on the tibia and the medial gastrocnemius (MG) muscle. Measurements were made at rest and after 2 levels of plantarflexion exercise. The difference between oxygenated and deoxygenated hemoglobin signal could be reliably measured with small coefficients of variation (CV; range 5.7-9.8%) and high intraclass correlation coefficients (ICC; range 0.73-0.91). Deoxygenated hemoglobin rate of change, a potential marker for bone metabolism, also showed good reliability (CV range 7.5-9.8%, ICC range 0.90-0.93). The tibia was characterized with a much slower metabolic rate compared with MG (p < 0.001). While exercise significantly increased MG metabolic rate in a dose-dependent manner (all p < 0.05), no changes were observed for the tibia after exercise compared with rest (all p > 0.05). NIRS is a suitable tool for monitoring hemodynamics and metabolism in the tibia. However, the local muscle exercise protocol utilized in the current study did not influence bone hemodynamics or metabolic rate. Novelty: NIRS can be used to monitor tibial hemodynamics and metabolism with good reliability. Short-duration local muscle exercise increased metabolic rate in muscle but not in bone. High level of loading and exercise volume may be needed to elicit measurable metabolic changes in bone.
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Affiliation(s)
- Chuan Zhang
- School of Physical Education and Sport, Central China Normal University, Wuhan, Hubei, China
| | | | - Kevin K McCully
- Department of Kinesiology, University of Georgia, Athens, GA, USA
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Li W, Zhang M, Huo C, Xu G, Chen W, Wang D, Li Z. Time-evolving coupling functions for evaluating the interaction between cerebral oxyhemoglobin and arterial blood pressure with hypertension. Med Phys 2021; 48:2027-2037. [PMID: 33253413 DOI: 10.1002/mp.14627] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 10/21/2020] [Accepted: 11/19/2020] [Indexed: 11/08/2022] Open
Abstract
PURPOSES This study aimed to investigate the network coupling between arterial blood pressure (ABP) and changes in cerebral oxyhemoglobin concentration (Δ [O2 Hb]/Δ [HHb]) oscillations based on dynamical Bayesian inference in hypertensive subjects. METHODS Two groups of subjects, consisting of 30 healthy (Group Control, 55.1 ± 10.6 y), and 32 hypertensive individuals (Group AH, 58.9 ± 8.7 y), participated in this study. A functional near-infrared spectroscopy system was used to measure the Δ [O2 Hb] and Δ [HHb] signals in the bilateral prefrontal cortex (LPFC/RPFC), motor cortex (LMC/RMC), and occipital lobe (LOL/ROL) during the resting state (12 min). Based on continuous wavelet analysis and coupling functions, the directed coupling strength (CS) between ABP and cerebral hemoglobin was identified and analyzed in three frequency intervals (I: 0.6-2 Hz, II: 0.145-0.6 Hz, III: 0.01-0.08 Hz). The Pearson correlations between the CS and blood pressure parameters were calculated in the hypertension group. RESULTS In interval I, Group AH exhibited a significantly higher CS for the coupling from ABP to Δ [O2 Hb] than Group Control in LMC, RMC, LOL, and ROL. In interval III, the CS from ABP to Δ [O2 Hb] in LPFC, RPFC, LMC, RMC, LOL, and ROL was significantly higher in Group AH than in Group Control. For the patients with hypertension, diastolic blood pressure was negatively and pulse pressure was positively related to the CS from ABP to Δ [O2 Hb] oscillations in interval III. CONCLUSIONS The higher CS from ABP to Δ [O2 Hb] in interval I indicated that the components of cardiac activity in cerebral hemoglobin oscillations were more directly responsive to the changes in systematic ABP in patients with hypertension than in healthy subjects. Meanwhile, the higher CS from ABP to Δ [O2 Hb] in interval III indicated that the cerebral hemoglobin oscillations were susceptible to changes in blood pressure in hypertensive subjects. The results may serve as evidence of impairment in cerebral autoregulation after hypertension. The Pearson correlation results showed that diastolic blood pressure and pulse pressure might be regarded as predictors of cerebral autoregulation function in patients with hypertension, and may be useful for hypertension stratification. This study provides novel insights into the interaction mechanism between ABP and cerebral hemodynamics and could help in the development of new assessment techniques for cerebral vascular disease.
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Affiliation(s)
- Wenhao Li
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.,Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100083, China
| | - Ming Zhang
- Interdisciplinary Division of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China
| | - Congcong Huo
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.,Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100083, China
| | - Gongcheng Xu
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.,Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100083, China
| | - Wei Chen
- Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, 100176, China.,Key Laboratory of Neuro-functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, Beijing, 100176, China
| | - Daifa Wang
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.,Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100083, China
| | - Zengyong Li
- Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, 100176, China.,Key Laboratory of Neuro-functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, Beijing, 100176, China
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Condy EE, Miguel HO, Millerhagen J, Harrison D, Khaksari K, Fox N, Gandjbakhche A. Characterizing the Action-Observation Network Through Functional Near-Infrared Spectroscopy: A Review. Front Hum Neurosci 2021; 15:627983. [PMID: 33679349 PMCID: PMC7930074 DOI: 10.3389/fnhum.2021.627983] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 01/18/2021] [Indexed: 12/19/2022] Open
Abstract
Functional near-infrared spectroscopy (fNIRS) is a neuroimaging technique that has undergone tremendous growth over the last decade due to methodological advantages over other measures of brain activation. The action-observation network (AON), a system of brain structures proposed to have “mirroring” abilities (e.g., active when an individual completes an action or when they observe another complete that action), has been studied in humans through neural measures such as fMRI and electroencephalogram (EEG); however, limitations of these methods are problematic for AON paradigms. For this reason, fNIRS is proposed as a solution to investigating the AON in humans. The present review article briefly summarizes previous neural findings in the AON and examines the state of AON research using fNIRS in adults. A total of 14 fNIRS articles are discussed, paying particular attention to methodological choices and considerations while summarizing the general findings to aid in developing better protocols to study the AON through fNIRS. Additionally, future directions of this work are discussed, specifically in relation to researching AON development and potential multimodal imaging applications.
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Affiliation(s)
- Emma E Condy
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD, United States
| | - Helga O Miguel
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD, United States
| | - John Millerhagen
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD, United States
| | - Doug Harrison
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD, United States
| | - Kosar Khaksari
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD, United States
| | - Nathan Fox
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD, United States
| | - Amir Gandjbakhche
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD, United States
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Ayrolles A, Brun F, Chen P, Djalovski A, Beauxis Y, Delorme R, Bourgeron T, Dikker S, Dumas G. HyPyP: a Hyperscanning Python Pipeline for inter-brain connectivity analysis. Soc Cogn Affect Neurosci 2021; 16:72-83. [PMID: 33031496 PMCID: PMC7812632 DOI: 10.1093/scan/nsaa141] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 09/22/2020] [Accepted: 10/07/2020] [Indexed: 12/24/2022] Open
Abstract
The bulk of social neuroscience takes a 'stimulus-brain' approach, typically comparing brain responses to different types of social stimuli, but most of the time in the absence of direct social interaction. Over the last two decades, a growing number of researchers have adopted a 'brain-to-brain' approach, exploring similarities between brain patterns across participants as a novel way to gain insight into the social brain. This methodological shift has facilitated the introduction of naturalistic social stimuli into the study design (e.g. movies) and, crucially, has spurred the development of new tools to directly study social interaction, both in controlled experimental settings and in more ecologically valid environments. Specifically, 'hyperscanning' setups, which allow the simultaneous recording of brain activity from two or more individuals during social tasks, has gained popularity in recent years. However, currently, there is no agreed-upon approach to carry out such 'inter-brain connectivity analysis', resulting in a scattered landscape of analysis techniques. To accommodate a growing demand to standardize analysis approaches in this fast-growing research field, we have developed Hyperscanning Python Pipeline, a comprehensive and easy open-source software package that allows (social) neuroscientists to carry-out and to interpret inter-brain connectivity analyses.
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Affiliation(s)
- Anaël Ayrolles
- Department of Neuroscience, Institut Pasteur, Paris, France
- Child and Adolescent Psychiatry Department, Assistance Publique - Hôpitaux de Paris, Robert Debré Hospital, Paris, France
| | - Florence Brun
- Department of Neuroscience, Institut Pasteur, Paris, France
| | - Phoebe Chen
- Department of Psychology, New York University, New York City, USA
| | - Amir Djalovski
- Baruch Ivcher School of Psychology, Center for Developmental Social Neuroscience, Interdiscilinary Center Herzliya, Baruch Ivcher School of Psychology, Herzliya, Israel
- Department of Psychology, Bar-Ilan University, Ramat Gan, Israel
| | - Yann Beauxis
- Department of Neuroscience, Institut Pasteur, Paris, France
| | - Richard Delorme
- Department of Neuroscience, Institut Pasteur, Paris, France
- Child and Adolescent Psychiatry Department, Assistance Publique - Hôpitaux de Paris, Robert Debré Hospital, Paris, France
| | | | - Suzanne Dikker
- Department of Psychology, New York University, New York City, USA
- Department of Clinical Psychology, Free University Amsterdam, Amsterdam, The Netherlands
| | - Guillaume Dumas
- Department of Neuroscience, Institut Pasteur, Paris, France
- Center for Complex Systems and Brain Sciences, Florida Atlantic University, Center for Complex Systems and Brain Sciences, Boca Raton, FL, USA
- Departement of Psychiatry, Université de Montréal, Montreal, QC, Canada
- Precision Psychiatry and Social Physiology laboratory, CHU Sainte-Justine Centre de Recherche, Precision Psychiatry and Social Physiology Laboratory, Montreal, QC, Canada
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Hirsch J, Tiede M, Zhang X, Noah JA, Salama-Manteau A, Biriotti M. Interpersonal Agreement and Disagreement During Face-to-Face Dialogue: An fNIRS Investigation. Front Hum Neurosci 2021; 14:606397. [PMID: 33584223 PMCID: PMC7874076 DOI: 10.3389/fnhum.2020.606397] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 12/15/2020] [Indexed: 01/03/2023] Open
Abstract
Although the neural systems that underlie spoken language are well-known, how they adapt to evolving social cues during natural conversations remains an unanswered question. In this work we investigate the neural correlates of face-to-face conversations between two individuals using functional near infrared spectroscopy (fNIRS) and acoustical analyses of concurrent audio recordings. Nineteen pairs of healthy adults engaged in live discussions on two controversial topics where their opinions were either in agreement or disagreement. Participants were matched according to their a priori opinions on these topics as assessed by questionnaire. Acoustic measures of the recorded speech including the fundamental frequency range, median fundamental frequency, syllable rate, and acoustic energy were elevated during disagreement relative to agreement. Consistent with both the a priori opinion ratings and the acoustic findings, neural activity associated with long-range functional networks, rather than the canonical language areas, was also differentiated by the two conditions. Specifically, the frontoparietal system including bilateral dorsolateral prefrontal cortex, left supramarginal gyrus, angular gyrus, and superior temporal gyrus showed increased activity while talking during disagreement. In contrast, talking during agreement was characterized by increased activity in a social and attention network including right supramarginal gyrus, bilateral frontal eye-fields, and left frontopolar regions. Further, these social and visual attention networks were more synchronous across brains during agreement than disagreement. Rather than localized modulation of the canonical language system, these findings are most consistent with a model of distributed and adaptive language-related processes including cross-brain neural coupling that serves dynamic verbal exchanges.
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Affiliation(s)
- Joy Hirsch
- Brain Function Laboratory, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States.,Department of Neuroscience, Yale School of Medicine, New Haven, CT, United States.,Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, United States.,Haskins Laboratories, New Haven, CT, United States.,Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Mark Tiede
- Brain Function Laboratory, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States.,Haskins Laboratories, New Haven, CT, United States
| | - Xian Zhang
- Brain Function Laboratory, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - J Adam Noah
- Brain Function Laboratory, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - Alexandre Salama-Manteau
- Brain Function Laboratory, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - Maurice Biriotti
- Faculty of Arts and Humanities, University College London, London, United Kingdom
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Nemani A, Kamat A, Gao Y, Yucel M, Gee D, Cooper C, Schwaitzberg S, Intes X, Dutta A, De S. Functional brain connectivity related to surgical skill dexterity in physical and virtual simulation environments. NEUROPHOTONICS 2021; 8:015008. [PMID: 33681406 PMCID: PMC7927423 DOI: 10.1117/1.nph.8.1.015008] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 02/11/2021] [Indexed: 05/15/2023]
Abstract
Significance: Surgical simulators, both virtual and physical, are increasingly used as training tools for teaching and assessing surgical technical skills. However, the metrics used for assessment in these simulation environments are often subjective and inconsistent. Aim: We propose functional activation metrics, derived from brain imaging measurements, to objectively assess the correspondence between brain activation with surgical motor skills for subjects with varying degrees of surgical skill. Approach: Cortical activation based on changes in the oxygenated hemoglobin (HbO) of 36 subjects was measured using functional near-infrared spectroscopy at the prefrontal cortex (PFC), primary motor cortex, and supplementary motor area (SMA) due to their association with motor skill learning. Inter-regional functional connectivity metrics, namely, wavelet coherence (WCO) and wavelet phase coherence were derived from HbO changes to correlate brain activity to surgical motor skill levels objectively. Results: One-way multivariate analysis of variance found a statistically significant difference in the inter-regional WCO metrics for physical simulator based on Wilk's Λ for expert versus novice, F ( 10,1 ) = 7495.5 , p < 0.01 . Partial eta squared effect size for the inter-regional WCO metrics was found to be highest between the central prefrontal cortex (CPFC) and SMA, CPFC-SMA ( η 2 = 0.257 ). Two-tailed Mann-Whitney U tests with a 95% confidence interval showed baseline equivalence and a statistically significant ( p < 0.001 ) difference in the CPFC-SMA WPCO metrics for the physical simulator training group ( 0.960 ± 0.045 ) versus the untrained control group ( 0.735 ± 0.177 ) following training for 10 consecutive days in addition to the pretest and posttest days. Conclusion: We show that brain functional connectivity WCO metric corresponds to surgical motor skills in the laparoscopic physical simulators. Functional connectivity between the CPFC and the SMA is lower for subjects that exhibit expert surgical motor skills than untrained subjects in laparoscopic physical simulators.
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Affiliation(s)
- Arun Nemani
- Rensselaer Polytechnic Institute, Center for Modeling, Simulation, and Imaging in Medicine, Troy, New York, United States
| | - Anil Kamat
- Rensselaer Polytechnic Institute, Center for Modeling, Simulation, and Imaging in Medicine, Troy, New York, United States
| | - Yuanyuan Gao
- Rensselaer Polytechnic Institute, Center for Modeling, Simulation, and Imaging in Medicine, Troy, New York, United States
| | - Meryem Yucel
- Massachusetts General Hospital, Department of Surgery, Boston, Massachusetts, United States
| | - Denise Gee
- Massachusetts General Hospital, Department of Surgery, Boston, Massachusetts, United States
| | - Clairice Cooper
- University at Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York, United States
| | - Steven Schwaitzberg
- University at Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York, United States
| | - Xavier Intes
- Rensselaer Polytechnic Institute, Center for Modeling, Simulation, and Imaging in Medicine, Troy, New York, United States
| | - Anirban Dutta
- University at Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York, United States
| | - Suvranu De
- Rensselaer Polytechnic Institute, Center for Modeling, Simulation, and Imaging in Medicine, Troy, New York, United States
- Address all correspondence to Suvranu De,
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Abstract
Hyperscanning is a technique which simultaneously records the neural activity of two or more people. This is done using one of several neuroimaging methods, such as electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and functional near-infrared spectroscopy (fNIRS). The use of hyperscanning has seen a dramatic rise in recent years to monitor social interactions between two or more people. Similarly, there has been an increase in the use of virtual reality (VR) for collaboration, and an increase in the frequency of social interactions being carried out in virtual environments (VE). In light of this, it is important to understand how interactions function within VEs, and how they can be enhanced to improve their quality in a VE. In this paper, we present some of the work that has been undertaken in the field of social neuroscience, with a special emphasis on hyperscanning. We also cover the literature detailing the work that has been carried out in the human–computer interaction domain that addresses remote collaboration. Finally, we present a way forward where these two research domains can be combined to explore how monitoring the neural activity of a group of participants in VE could enhance collaboration among them.
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Balters S, Baker JM, Hawthorne G, Reiss AL. Capturing Human Interaction in the Virtual Age: A Perspective on the Future of fNIRS Hyperscanning. Front Hum Neurosci 2020; 14:588494. [PMID: 33240067 PMCID: PMC7669622 DOI: 10.3389/fnhum.2020.588494] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 10/02/2020] [Indexed: 01/09/2023] Open
Abstract
Advances in video conferencing capabilities combined with dramatic socio-dynamic shifts brought about by COVID-19, have redefined the ways in which humans interact in modern society. From business meetings to medical exams, or from classroom instruction to yoga class, virtual interfacing has permeated nearly every aspect of our daily lives. A seemingly endless stream of technological advances combined with our newfound reliance on virtual interfacing makes it likely that humans will continue to use this modern form of social interaction into the future. However, emergent evidence suggests that virtual interfacing may not be equivalent to face-to-face interactions. Ultimately, too little is currently understood about the mechanisms that underlie human interactions over the virtual divide, including how these mechanisms differ from traditional face-to-face interaction. Here, we propose functional near-infrared spectroscopy (fNIRS) hyperscanning—simultaneous measurement of two or more brains—as an optimal approach to quantify potential neurocognitive differences between virtual and in-person interactions. We argue that increased focus on this understudied domain will help elucidate the reasons why virtual conferencing doesn't always stack up to in-person meetings and will also serve to spur new technologies designed to improve the virtual interaction experience. On the basis of existing fNIRS hyperscanning literature, we highlight the current gaps in research regarding virtual interactions. Furthermore, we provide insight into current hurdles regarding fNIRS hyperscanning hardware and methodology that should be addressed in order to shed light on this newly critical element of everyday life.
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Affiliation(s)
- Stephanie Balters
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
| | - Joseph M Baker
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
| | - Grace Hawthorne
- Hasso Plattner Institute of Design, Stanford University, Stanford, CA, United States
| | - Allan L Reiss
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States.,Department of Radiology, School of Medicine, Stanford University, Stanford, CA, United States.,Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, United States
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50
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Wang Y, Chen W. Effective brain connectivity for fNIRS data analysis based on multi-delays symbolic phase transfer entropy. J Neural Eng 2020; 17:056024. [PMID: 33055365 DOI: 10.1088/1741-2552/abb4a4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Recently, effective connectivity (EC) calculation methods for functional near-infrared spectroscopy (fNIRS) data mainly face two problems: the first problem is that noise can seriously affect the EC calculation and even lead to false connectivity; the second problem is that it ignores the various real neurotransmission delays between the brain region, and instead uses a fixed delay coefficient for calculation. APPROACH To overcome these two issues, a delay symbolic phase transfer entropy (dSPTE) is proposed by developing traditional transfer entropy (TE) to estimate EC for fNIRS. Firstly, the phase time sequence was obtained from the original sequence by the Hilbert transform and state-space reconstruction was realized using a uniform embedding scheme. Then, a symbolization technique was applied based on a neural-gas algorithm to improve its noise robustness. Finally, the EC was calculated on multiple time delay scales to match different inter-region neurotransmission delays. MAIN RESULTS A linear AR model, a nonlinear model and a multivariate hybrid model were introduced to simulate the performance of dSPTE, and the results showed that the accuracy of dSPTE was the highest, up to 74.27%, and specificity was 100% which means no false connectivity. The results confirmed that the dSPTE method realized better noise robustness, higher accuracy, and correct identification even if there was a long delay between series. Finally, we applied dSPTE to fNIRS dataset to analyse the EC during the finger-tapping task, the results showed that EC strength of task state significantly increased compared with the resting state. SIGNIFICANCE The proposed dSPTE method is a promising way to measure the EC for fNIRS. It incorporates the phase information TE with a symbolic process for fNIRS analysis for the first time. It has been confirmed to be noise robust and suitable for the complex network with different coupling delays.
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Affiliation(s)
- Yalin Wang
- Department of Electronic Engineering, Center for Intelligent Medical Electronics, School of Information Science and Technology, Fudan University, Shanghai, People's Republic of China. Human Phenome Institute, Fudan University, Shanghai, People's Republic of China
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