The promises and pitfalls of functional magnetic resonance imaging hyperscanning for social interaction research

Tsoi, Lily; Burns, Shannon; Tamir, Diana

doi:10.1111/spc3.12707

Cited by 17 publications

(5 citation statements)

References 145 publications

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“…In recent years, however, a growing number of studies have shown that alignment – also often referred to as synchrony – can be socially meaningful in a variety of modalities, including movement, language, neurophysiology, and pupil dilation ( Pan et al, 2022 ; Nguyen et al, 2021 ); Wohltjen and Wheatley, 2021 ; Pickering and Garrod, 2021 ; Dikker et al, 2021b ). Here, we focus on neural synchrony, or inter-brain coupling, which has been associated with a range of communicative outcomes, including language comprehension, socio-emotional connectedness, learning, and even pain perception ( Goldstein et al, 2018 , Dumas et al, 2010 , Wass et al, 2020 , Davidesco et al, 2023 ; for reviews see e.g., Czeszumski et al, 2022 , Czeszumski et al, 2020 ; Koike et al, 2015 ; Tsoi et al, 2022 ; Babiloni and Astolfi, 2014 ; Toppi et al, 2016 ; Liu et al, 2018 ; Nguyen et al, 2020 ; Reindl et al, 2018 ; Marriott Haresign et al, 2022 ).…”

Section: Neural Alignment In Children Adults and Grandparentsmentioning

confidence: 99%

It takes a village: A multi-brain approach to studying multigenerational family communication

Dikker,

Brito,

Dumas

2024

Developmental Cognitive Neuroscience

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Section: Neural Alignment In Children Adults and Grandparentsmentioning

confidence: 99%

It takes a village: A multi-brain approach to studying multigenerational family communication

Dikker,

Brito,

Dumas

2024

Developmental Cognitive Neuroscience

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“…Additionally, in these reviewed EEG and fMRI studies, researchers forecasted market‐level outcomes by calculating correlations between different individuals' brain responses to the same stimulus. This approach, also known as inter‐subject correlation (ISC) or neural synchrony, is commonly utilized in hyperscanning studies (Babiloni & Astolfi, 2014; Tsoi et al, 2022). In this section, we will briefly describe the origins of this concept and the underlying mechanisms it reflects.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Using neural data to forecast aggregate consumer behavior in neuromarketing: Theory, metrics, progress, and outlook

Yao,

Wang

2024

J of Consumer Behaviour

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The field of using neural data to forecast aggregate consumer choice has garnered attention in the past decade, holding substantial promise for both researchers and practitioners. However, a comprehensive understanding of this emerging field is lacking. This paper aims to bridge that gap by summarizing existing research, encompassing relevant theories, metrics, progress, and future directions. We begin by introducing the concept of neuroforecasting within the field of neuromarketing. We then delve into theories that leverage neural data for forecasting aggregate choice, including affect‐integration‐motivation framework, frontal asymmetry, and inter‐subject correlation. Subsequently, we review various metrics, including self‐reported, behavioral, and neural metrics employed to forecast market‐level behavior, presenting key findings from relevant studies. Furthermore, we examine the strengths and weaknesses of this field. Advantages of this approach include its ability to offer effective predictions of consumer behavior and provide enhanced insights into consumer preferences and choices, while its weaknesses encompass relatively high cost, sample size constraints, issues of ecological validity, and challenges related to reverse inference. In conclusion, future research should prioritize integrating diverse data types with machine learning techniques to forecast the outcomes of marketing campaigns in advance. Additionally, a deeper exploration of the psychological and cognitive processes underlying successful predictions can augment predictive accuracy and effectiveness. This review provides a systematic overview for researchers and practitioners in this field, offering valuable insights and guidance for future research endeavors and industry applications.

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“…While fNIRS is a more popular hyperscanning approach than fMRI, fMRI has clear superiority in the degree of spatial resolution and whole brain coverage (including cerebellum and subcortex) that can be achieved [70,71]. Nevertheless, the high cost and low mobility of fMRIhyperscanning units mean that pseudo-hyperscanning (asynchronous interactions using recorded stimuli and sequential but not synchronized scanning) has been the more commonly employed approach with fMRI [75,[94][95][96].…”

Section: Fnirs and Fmri Hyperscanningmentioning

confidence: 99%

Disorganized Communication and Social Dysfunction in Schizophrenia: Emerging Concepts and Methods

Olarewaju,

Dumas,

Palaniyappan

2023

Curr Psychiatry Rep

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Purpose of review In this review, we embrace the emerging field of second-person neuroscience to address disorganization in schizophrenia. We argue that the focus of interest for disorganization is the interpersonal space where shared mental processes ('social mind') occur based on the biobehavioural synchrony between two (or more) interacting people. We lay out several biobehavioural measures that can capture the component parts of this process. In particular, we highlight the real-time imaging technology of hyperscanning that enables multi-person analysis of naturalistic social interaction. We illustrate how these measures can be used in empirical studies by posing disorganization as a problem of interpersonal processing.Recent findings Traditionally, disorganized speech and behaviour have been studied as the product of hidden cognitive processes ('private mind'). A dysfunction in these processes was attributed to the brain afflicted by the illness ('brain-bound mechanisms'). But this approach has contributed to challenges in measuring and quantifying disorganization. Consequently, the single-brain focus has not provided satisfactory clarity or led to effective treatments for persistent social dysfunction in schizophrenia.Summary Social dysfunction is a core feature of schizophrenia. This dysfunction arises from disorganized interpersonal interaction that typifies the social profile of affected individuals. We outline challenges in employing several emerging concepts and methods and how they can be addressed to investigate the mechanisms of social dysfunction in schizophrenia.

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The promises and pitfalls of functional magnetic resonance imaging hyperscanning for social interaction research

Cited by 17 publications

References 145 publications

It takes a village: A multi-brain approach to studying multigenerational family communication

It takes a village: A multi-brain approach to studying multigenerational family communication

Using neural data to forecast aggregate consumer behavior in neuromarketing: Theory, metrics, progress, and outlook

Disorganized Communication and Social Dysfunction in Schizophrenia: Emerging Concepts and Methods

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