Differential brain-to-brain entrainment while speaking and listening in native and foreign languages

Pérez, Alejandro; Dumas, Guillaume; Karadağ, Melek; Duñabeitia, Jon Andoni

doi:10.1016/j.cortex.2018.11.026

Cited by 61 publications

(69 citation statements)

References 94 publications

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“…Interestingly, asymmetric connections in neural synchrony found in cooperative and naturalistic discussion settings were similar to those shown in turn-taking studies, particularly between frontal and parietal regions (Ahn et al, 2018;Mayseless et al, 2019;Pérez et al, 2019). This suggests consistency in the complex dynamics of both cognition and coordination present during real-world social interaction and experimental conditions, with both requiring communication of additional linguistic information in the presence of interlocutors (Schoot et al, 2019).…”

Section: J O U R N a L P R E -P R O O Fsupporting

confidence: 75%

“…Any divergence in selection for inclusion was resolved through discussion and further reading of the articles. Jiang et al, 2012;Pan et al, 2018;Pérez et al, 2019), with some also conducting Granger causality analysis (GCA) in order to determine directionality (e.g., Ahn et al, 2018;Pan et al, 2018). In addition to determining alignment following WTC, Pan et al (2020) Of ten studies assessing the brain activity involved in knowledge sharing, three were carried out using EEG, while the rest were performed with fNIRS ( Table 1).…”

Section: Search Methods and Inclusion Criteriamentioning

confidence: 99%

“…Eight studies took place in naturalistic settings (Table 4), with five employing fNIRS. IBS was predominantly identified in frontal (Balconi et al, 2020;Jiang et al, 2012;Lu et al, 2019a;Pérez et al, 2019) and temporal-parietal regions (Dai et al, 2018;Jiang et al, 2015;Kinreich et al, 2017;Zhang et al, 2018). In one of the pioneering hyperscanning studies of verbal communication, Jiang et al (2012) reported significantly increased IBS in the left inferior frontal cortex (IFC) region for those engaged in face-to-face dialog compared to none for monologue and/or back-to-back states.…”

Section: J O U R N a L P R E -P R O O Fmentioning

confidence: 99%

“…With respect to these concerns, asymmetric patterns of entrainment have been observed between interlocutors depending upon their role in interpersonal communication, such as turn-taking interaction (Ahn et al, 2018), leader-follower (Jiang et al, 2015), first and second language use (Pérez et al, 2019), or due to multiple neural regions employed during speaking and listening (Pérez et al, 2017). In response to the prospect of asymmetric alignment including core and peripheral cortical regions, which co-activate depending on the specific language task performed (Fedorenko and Thompson-Schill, 2014).…”

Section: J O U R N a L P R E -P R O O Fmentioning

confidence: 99%

“…The interactive linguistic alignment theory (Pickering and Garrod, 2014) hypothesizes that while communicating, speech production and comprehension align, such that the discoursal processeslexical, semantic, and syntacticrequired to communicate become dependent upon related brain networks (Menenti et al, 2011). As a result, linguistic alignment during spoken interaction is sustained by comparable neural patterns (Pérez et al, 2019). The idea that speech comprehension and production recruits similar brain networks is supported by overlap in areas implicated in semantic, lexical, and syntactic processing (Menenti et al, 2011(Menenti et al, , 2012.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

What has social neuroscience learned from hyperscanning studies of spoken communication? A systematic review

Kelsen

Sumich

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et al. 2022

Neuroscience & Biobehavioral Reviews

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Section: J O U R N a L P R E -P R O O Fsupporting

confidence: 75%

Section: Search Methods and Inclusion Criteriamentioning

confidence: 99%

Section: J O U R N a L P R E -P R O O Fmentioning

confidence: 99%

Section: J O U R N a L P R E -P R O O Fmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

What has social neuroscience learned from hyperscanning studies of spoken communication? A systematic review

Kelsen

Sumich

Kasabov

et al. 2022

Neuroscience & Biobehavioral Reviews

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A Brain‐To‐Brain Mechanism for Social Transmission of Threat Learning

et al. 2023

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Survival and adaptation in environments require swift and efficacious learning about what is dangerous. Across species, much of such threat learning is acquired socially, e.g., through the observation of others’ (“demonstrators’”) defensive behaviors. However, the specific neural mechanisms responsible for the integration of information shared between demonstrators and observers remain largely unknown. This dearth of knowledge is addressed by performing magnetoencephalography (MEG) neuroimaging in demonstrator‐observer dyads. A set of stimuli are first shown to a demonstrator whose defensive responses are filmed and later presented to an observer, while neuronal activity is recorded sequentially from both individuals who never interacted directly. These results show that brain‐to‐brain coupling (BtBC) in the fronto‐limbic circuit (including insula, ventromedial, and dorsolateral prefrontal cortex) within demonstrator‐observer dyads predict subsequent expressions of learning in the observer. Importantly, the predictive power of BtBC magnifies when a threat is imminent to the demonstrator. Furthermore, BtBC depends on how observers perceive their social status relative to the demonstrator, likely driven by shared attention and emotion, as bolstered by dyadic pupillary coupling. Taken together, this study describes a brain‐to‐brain mechanism for social threat learning, involving BtBC, which reflects social relationships and predicts adaptive, learned behaviors.

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Getting into sync: Data‐driven analyses reveal patterns of neural coupling that distinguish among different social exchanges

Špiláková

Shaw

Czekóová

et al. 2019

Human Brain Mapping

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In social interactions, each individual's brain drives an action that, in turn, elicits systematic neural responses in their partner that drive a reaction. Consequently, the brain responses of both interactants become temporally contingent upon one another through the actions they generate, and different interaction dynamics will be underpinned by distinct forms of between-brain coupling. In this study, we investigated this by "performing functional magnetic resonance imaging on two individuals simultaneously (dual-fMRI) while they competed or cooperated with one another in a turn-based or concurrent fashion." To assess whether distinct patterns of neural coupling were associated with these different interactions, we combined two data-driven, model-free analytical techniques: group-independent component analysis and inter-subject correlation. This revealed four distinct patterns of brain responses that were temporally aligned between interactants: one emerged during co-operative exchanges and encompassed brain regions involved in social cognitive processing, such as the temporo-parietal cortex. The other three were associated with competitive exchanges and comprised brain systems implicated in visuomotor processing and social decision-making, including the cerebellum and anterior cingulate cortex. Interestingly, neural coupling was significantly stronger in concurrent relative to turn-based exchanges. These results demonstrate the utility of data-driven approaches applied to "dual-fMRI" data in elucidating the interpersonal neural processes that give rise to the two-in-one dynamic characterizing social interaction.

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Differential brain-to-brain entrainment while speaking and listening in native and foreign languages

Cited by 61 publications

References 94 publications

What has social neuroscience learned from hyperscanning studies of spoken communication? A systematic review

What has social neuroscience learned from hyperscanning studies of spoken communication? A systematic review

A Brain‐To‐Brain Mechanism for Social Transmission of Threat Learning

Getting into sync: Data‐driven analyses reveal patterns of neural coupling that distinguish among different social exchanges

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