Two-brain microstates: A novel hyperscanning-EEG method for quantifying task-driven inter-brain asymmetry

Journal of Neuroscience Methods, Journal Year: 2025, Volume and Issue: 416, P. 110355 - 110355

Published: Jan. 22, 2025

The neural mechanisms underlying real-time social interaction remain poorly understood. While hyperscanning has emerged as a popular method to better understand inter-brain mechanisms, methods underdeveloped, and primarily focused on synchronization (IBS). We developed novel approach employing two-brain EEG microstates, investigate during symmetric asymmetric interactive tasks. Microstates are quasi-stable configurations of brain activity that have been proposed represent basic building blocks for mental processing. Expanding the microstate methodology dyads interacting participants enables us moments synchronous activity. Conventional microstates fitted individuals were not related different conditions. However, modulated in observer-actor condition, compared all other conditions where had more task demands, same trend was observed follower-leader condition. This indicates differences resting state default-mode network interactions with Hyperscanning studies estimated IBS based functional connectivity measures. localized connections often hard interpret larger scale when multiple across brains found be important. Two-brain offer an alternative evaluate from large-scale global perspective, by quantifying task-driven states between individuals. present using including open-source code, which expands current hyperscanning-EEG measure potentially identify both interaction.

Language: Английский

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Mobile fNIRS for exploring inter-brain synchrony across generations and time

Frontiers in Neuroergonomics, Journal Year: 2024, Volume and Issue: 4

Published: Jan. 2, 2024

While still relatively rare, longitudinal hyperscanning studies are exceptionally valuable for documenting changes in inter-brain synchrony, which may turn underpin how behaviors develop and evolve social settings. The generalizability ecological validity of this experimental approach hinges on the selected imaging technique being mobile–a requirement met by functional near-infrared spectroscopy (fNIRS). fNIRS has most frequently been used to examine development synchrony behavior child-parent dyads. In position paper, we contend that dedicating attention intergenerational stands benefit fields cognitive neuroscience more broadly. We argue is particularly relevant understanding neural mechanisms underpinning dynamics, potentially benchmarking progress psychological interventions, many situated contexts. line with our position, highlight areas research stand be enhanced mobile devices, describe challenges arise from measuring across generations real world, offer potential solutions.

Language: Английский

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Neurodynamics of Relational Aesthetic Engagement in Creative Arts Therapies

Review of General Psychology, Journal Year: 2024, Volume and Issue: unknown

Published: June 17, 2024

Aesthetic experiences, emerging saliently in the arts, play a pivotal role transformative learning and creative processes that elicit physiological, affective, cognitive responses associated with mental health indices. Interactions between subjects aesthetic objects (e.g., visual artwork, music, moving bodies) often entail elements of surprise uncertainty drive inference hidden causes subject’s internal external environment. These generate dynamics align action-oriented Predictive Processing framework brain function. Creative Arts Therapies (CATs) harness these by cultivating relational engagement using arts modalities, prompting affective processing. In this manuscript, we offer review conceptual analysis recent empirical findings theoretical premises underpin experiences their relation to psychotherapeutic use broad spectrum populations conditions. We present neuroscience-based approach intra- inter-personal integrating therapeutic change factors externalization-concretization, embodiment, symbolization functional network configurations, interpersonal brain-to-brain coupling, support predictive processing, learning, creativity. Present future interdisciplinary collaborations are underlined elucidate neurodynamic mechanisms driving psychological transformations, bridging neuroaesthetics CATs.

Language: Английский

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Dynamic mutual predictions during social learning: A computational and interbrain model

Neuroscience & Biobehavioral Reviews, Journal Year: 2023, Volume and Issue: 157, P. 105513 - 105513

Published: Dec. 21, 2023

Language: Английский

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How accurately can we estimate spontaneous body kinematics from video recordings? Effect of movement amplitude on OpenPose accuracy

Behavior Research Methods, Journal Year: 2025, Volume and Issue: 57(1)

Published: Jan. 2, 2025

Abstract Estimating how the human body moves in space and time—body kinematics—has important applications for industry, healthcare, several research fields. Gold-standard methodologies capturing kinematics are expensive impractical naturalistic recordings as they rely on infrared-reflective wearables bulky instrumentation. To overcome these limitations, algorithms have been developed to extract from plain video recordings. This comes with a drop accuracy, which however has not clearly quantified. fill this knowledge gap, we analysed dataset comprising 46 participants exhibiting spontaneous movements of varying amplitude. Body were estimated using OpenPose (video-based) Vicon (infrared-based) motion capture systems simultaneously. accuracy was assessed estimates ground truth. We report that is overall moderate varies substantially across parts. explained by variability movement weak low-amplitude movements. Conversely, large-amplitude (i.e., > ~ 10 cm) yield highly accurate estimates. The relationship between amplitude linear (but mostly exponential or power) relatively robust camera–body distance. Together, results dissect limits video-based provide useful guidelines future studies.

Language: Английский

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2-Brain Regulation for Improved Neuroprotection during Early Development (2-BRAINED): a translational hyperscanning research project

Frontiers in Psychology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 28, 2025

Very preterm (VPT) birth is a major risk condition for child development and parental wellbeing, mainly due to multiple sources of stress (e.g., separation pain exposure) during the neonatal intensive care unit (NICU) stay. Early video-feedback (VF) interventions proved effective in promoting VOT infants' wellbeing. Electroencephalography (EEG) hyperscanning allows assessment brain-to-brain co-regulation live interaction between infants parents, offering promising insights into mechanisms behind interactive benefits early VF interventions. This study aimed compare indices dyads full-term (FT) VPT interacting with their mothers investigate effect an post-discharge intervention on dyads. FT will be enrolled at birth, former randomly allocated one two arms: or as usual. Short-term effectiveness assessed through ratings mother-infant videotaped before after Mothers report mental state, parenting bonding, infant temperament sensory profile 3 6 months (corrected age, CA). At 9 CA, all participate lab-based EEG-hyperscanning paradigm assess phase-locking value (PLV) other explorative indices. was funded by Italian Ministry Health received approval Ethics Committee Pavia (Italy) participating hospitals. Research findings reported scientific publications, presented international conferences, disseminated general public. GR-2021-12375213 (Italian registry).

Language: Английский

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Exploring the impact of manual and automatic EEG pre-processing methods on interpersonal neural synchrony measures in parent-infant hyperscanning studies

Journal of Neuroscience Methods, Journal Year: 2025, Volume and Issue: unknown, P. 110400 - 110400

Published: Feb. 1, 2025

Electroencephalograph (EEG) hyperscanning allows studying Interpersonal Neural Synchrony (INS) between two or more individuals across different social conditions, including parent-infant interactions. Signal pre-processing is crucial to optimize computation of INS estimates; however, few attempts have been made at comparing the impact dyadic EEG data methods on estimates. collected 31 mother-infant dyads (8-10 months) engaged in a Face-to-Face Still-Face Procedure were pre-processed with versions same pipeline, "automated" and "manual". Cross-frequency PLV theta (3-5Hz, 4-7Hz) alpha (6-9Hz, 8-12Hz) frequency bands computed after automated manual compared through Pearson's correlations Repeated Measures ANOVAs. PLVs theta, but not alpha, band significantly higher than pre-processing. Moreover, pipeline rejected lower percentage ICs epochs pipeline. While no direct comparison existing pipelines was made, this first study assessing methodological decisions, particularly degree automatization, cross-frequency dataset dyads. Non-directional phase-based indexes such as seem be affected by automatization Future research should strive for standardization methods.

Language: Английский

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Language-specific Tonal Features Drive Speaker-Listener Neural Synchronization

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Verbal communication transmits information across diverse linguistic levels, with neural synchronization (NS) between speakers and listeners emerging as a putative mechanism underlying successful exchange. However, the specific speech features driving this how language-specific versus universal characteristics facilitate transfer remain poorly understood. We developed novel content-based interbrain encoding model to disentangle contributions of acoustic speaker-listener NS during Mandarin storytelling listening, measured via magnetoencephalography (MEG). Results revealed robust throughout frontotemporal-parietal networks systematic time lags production perception. Crucially, suprasegmental lexical tone (tone categories, pitch height, contour), essential for meaning in Mandarin, contributed more significantly than either elements or segmental units (consonants vowels). These tonal generated distinctive spatiotemporal patterns, creating “communication channels” that facilitated efficient representation sharing interlocutors. Furthermore, strength patterns driven by these predicted success. findings demonstrate mechanisms shared representations verbal exchange highlight can shape coupling optimize human communication.

Language: Английский

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Communicative signals during joint attention promote neural processes of infants and caregivers

Developmental Cognitive Neuroscience, Journal Year: 2023, Volume and Issue: 65, P. 101321 - 101321

Published: Dec. 6, 2023

Communicative signals such as eye contact increase infants' brain activation to visual stimuli and promote joint attention. Our study assessed whether communicative during attention enhance infant-caregiver dyads' neural responses objects, their synchrony. To track mutual processes, we applied rhythmic stimulation (RVS), presenting images of objects 12-month-old infants mothers (n = 37 dyads), while recorded activity (i.e., steady-state evoked potentials, SSVEPs) with electroencephalography (EEG) hyperscanning. Within dyads, either communicatively showed the infant or watched without engagement. cues increased mothers' SSVEPs at central-occipital-parietal, central electrode sites, respectively. Infants significantly more gaze behaviour Dyadic synchrony (SSVEP amplitude envelope correlations, AECs) was not modulated by cues. Taken together, maternal in shape own processes. We show that cortical processing, thus play an essential role social learning. Future studies need elucidate effect on Finally, our introduces RVS dynamics contexts.

Language: Английский

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Relational Neuroscience: insights from hyperscanning research

Neuroscience & Biobehavioral Reviews, Journal Year: 2024, Volume and Issue: 169, P. 105979 - 105979

Published: Dec. 13, 2024

Humans are highly social, typically without this ability requiring noticeable efforts. Yet, such social fluency poses challenges both for the human brain to compute and scientists study. Over last few decades, neuroscientific research of sociality has witnessed a shift in focus from single-brain analysis complex dynamics occurring across several brains, posing questions about what these mean how they relate multifaceted behavioural models. We propose term 'Relational Neuroscience' collate interdisciplinary field devoted modelling inter-brain subserving connections, spanning real-time joint experiences long-term bonds. Hyperscanning, i.e., simultaneously measuring activity multiple individuals, proven be promising technique investigate dynamics. Here, we discuss hyperscanning can help within Relational Neuroscience, considering variety subfields, including cooperative interactions dyads groups, empathy, attachment bonding, developmental neuroscience. While presenting Neuroscience light hyperscanning, our discussion also takes into account behaviour, physiology endocrinology properly interpret contexts. consider strengths but limitations caveats answer interacting people. The aim is provide an integrative framework future work build better theories contexts subfields model sociality.

Language: Английский

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