ArticleFrontiers in computational neuroscience2022
Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms.
Article in Frontiers in computational neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Inter-brain coupling during naturalistic collaborative Tangram solving in child dyads: an exploratory fNIRS hyperscanning study.Brain structure & function · 2026Article
- Task-switching mechanisms under methamphetamine cravings: sex differences in cued and voluntary task-switching.Frontiers in neuroscience · 2024Article
- Texture-based brain networks for characterization of healthy subjects from MRI.Scientific reports · 2023Article
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6 authors.
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Abstract
Hyperscanning is a promising tool for investigating the neurobiological underpinning of social interactions and affective bonds. Recently, graph theory measures, such as modularity, have been proposed for estimating the global synchronization between brains. This paper proposes the bootstrap modularity test as a way of determining whether a pair of brains is coactivated. This test is illustrated as a screening tool in an application to fNIRS data collected from the prefrontal cortex and temporoparietal junction of five dyads composed of a teacher and a preschooler while performing an interaction task. In this application, graph hub centrality measures identify that the dyad's synchronization is critically explained by the relation between teacher's language and number processing and the child's phonological processing. The analysis of these metrics may provide further insights into the neurobiological underpinnings of interaction, such as in educational contexts.
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