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      Is Open Access

      Post-interaction neuroplasticity of inter-brain networks underlies the development of social relationship

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          Summary

          Inter-brain coupling has been increasingly recognized for its role in supporting connectedness during social communication. Here we investigate whether inter-brain coupling is plastic and persists beyond the offset of social interaction, facilitating the emergence of social closeness. Dyads were concurrently scanned using functional near infrared spectroscopy (fNIRS) while engaging in a task that involved movement synchronization. To assess post-interaction neuroplasticity, participants performed a baseline condition with no interaction before and after the interaction. The results reveal heightened inter-brain coupling in neural networks comprising the inferior frontal gyrus (IFG) and dorsomedial prefrontal cortex in the post-task compared to the pre-task baseline. Critically, the right IFG emerged as a highly connected hub, with post-task inter-brain coupling in this region predicting the levels of motivation to connect socially. We suggest that post-interactions inter-brain coupling may reflect consolidation of socially related cues, underscoring the role of inter-brain plasticity in fundamental aspects of relationship development.

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          Highlights

          • Inter-brain coupling increases following social interaction offset

          • We found higher inter-brain coupling post-interaction compared to pre-interaction

          • Post-task inferior frontal inter-brain coupling predicted social connectedness levels

          • Inter-brain plasticity is a core aspect of relationship development

          Abstract

          Behavioral neuroscience; Cognitive neuroscience.

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          Most cited references64

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          Mixed-effects modeling with crossed random effects for subjects and items

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            HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain.

            Near-infrared spectroscopy (NIRS) is a noninvasive neuroimaging tool for studying evoked hemodynamic changes within the brain. By this technique, changes in the optical absorption of light are recorded over time and are used to estimate the functionally evoked changes in cerebral oxyhemoglobin and deoxyhemoglobin concentrations that result from local cerebral vascular and oxygen metabolic effects during brain activity. Over the past three decades this technology has continued to grow, and today NIRS studies have found many niche applications in the fields of psychology, physiology, and cerebral pathology. The growing popularity of this technique is in part associated with a lower cost and increased portability of NIRS equipment when compared with other imaging modalities, such as functional magnetic resonance imaging and positron emission tomography. With this increasing number of applications, new techniques for the processing, analysis, and interpretation of NIRS data are continually being developed. We review some of the time-series and functional analysis techniques that are currently used in NIRS studies, we describe the practical implementation of various signal processing techniques for removing physiological, instrumental, and motion-artifact noise from optical data, and we discuss the unique aspects of NIRS analysis in comparison with other brain imaging modalities. These methods are described within the context of the MATLAB-based graphical user interface program, HomER, which we have developed and distributed to facilitate the processing of optical functional brain data.
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              Spike timing-dependent plasticity: a Hebbian learning rule.

              Spike timing-dependent plasticity (STDP) as a Hebbian synaptic learning rule has been demonstrated in various neural circuits over a wide spectrum of species, from insects to humans. The dependence of synaptic modification on the order of pre- and postsynaptic spiking within a critical window of tens of milliseconds has profound functional implications. Over the past decade, significant progress has been made in understanding the cellular mechanisms of STDP at both excitatory and inhibitory synapses and of the associated changes in neuronal excitability and synaptic integration. Beyond the basic asymmetric window, recent studies have also revealed several layers of complexity in STDP, including its dependence on dendritic location, the nonlinear integration of synaptic modification induced by complex spike trains, and the modulation of STDP by inhibitory and neuromodulatory inputs. Finally, the functional consequences of STDP have been examined directly in an increasing number of neural circuits in vivo.
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                Author and article information

                Contributors
                Journal
                iScience
                iScience
                iScience
                Elsevier
                2589-0042
                04 January 2024
                16 February 2024
                04 January 2024
                : 27
                : 2
                : 108796
                Affiliations
                [1 ]Department of Psychology, University of Haifa, Haifa, Israel
                [2 ]The Integrated Brain and Behavior Research Center (IBBRC), Haifa, Israel
                Author notes
                []Corresponding author sshamay@ 123456psy.haifa.ac.il
                [3]

                Lead contact

                Article
                S2589-0042(24)00017-8 108796
                10.1016/j.isci.2024.108796
                10825012
                38292433
                049e960d-a6e8-4091-b194-3165e21c349d
                © 2024 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 12 June 2023
                : 1 September 2023
                : 2 January 2024
                Categories
                Article

                behavioral neuroscience,cognitive neuroscience
                behavioral neuroscience, cognitive neuroscience

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