Lights on music cognition: A systematic and critical review of fNIRS applications and future perspectives

Brain and Cognition, Journal Year: 2024, Volume and Issue: 180, P. 106200 - 106200

Published: June 21, 2024

Research investigating the neural processes related to music perception and production constitutes a well-established field within cognitive neurosciences. While most neuroimaging tools have limitations in studying complexity of musical experiences, functional Near-Infrared Spectroscopy (fNIRS) represents promising, relatively new tool for both laboratory ecological settings, which is also suitable typical pathological populations across development. Here we systematically review fNIRS studies on cognition, highlighting prospects potentialities. We include an overview basic theory, together with brief comparison characteristics other tools. Fifty-nine meeting inclusion criteria (i.e., using as primary stimulus) are presented five thematic sections. Critical discussion methodology leads us propose guidelines good practices aiming robust signal analyses reproducibility. A continuously updated world map proposed, including information from criteria. It provides organized, accessible, updatable reference database, could serve catalyst future collaborations community. In conclusion, shows potential music, particularly contexts special populations, aligning current research priorities cognition.

Language: Английский

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Positive resonance: Successful interpersonal emotion regulation facilitated relationship closeness by enhanced inter-brain synchronization

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121042 - 121042

Published: Jan. 1, 2025

Interpersonal emotion regulation (IER) refers to the dynamic process where a regulator employs specific strategies alleviate target's distress. It remains unclear whether successful IER could facilitate interpersonal relationship closeness (IRC). The present study aimed explore IER, based on two typical strategies-cognitive reappraisal (CR) and expressive suppression (ES)-for down-regulating negative emotions, enhance IRC among friend dyads, identify underlying neural correlates of this using functional near-infrared spectroscopy system. Seventy-four female dyads (friends) were randomly assigned one strategy groups (CR vs. ES), with participant as target other regulator. Our finds revealed that both have down-regulated however, CR was associated more outcomes (more improvement targets' emotions; higher IRC) than ES strategy. recruited enhanced brain synchronization (IBS) prefrontal temporal areas dyads. IBS above-mentioned networks in sadness, reversed pattern found anger, inferring successive effective anger. increased these regions played mediational role between effectiveness emotions increment IRC. findings coupling mechanism through which fostered supportive social bonds.

Language: Английский

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Physiological team dynamics explored: physiological synchrony in medical simulation training

Advances in Simulation, Journal Year: 2025, Volume and Issue: 10(1)

Published: March 1, 2025

Abstract Introduction For researchers and medical simulation trainers, measuring team dynamics is vital for providing targeted feedback that can lead to improved patient outcomes. It also valuable research, such as investigating which benefit performance. Traditional assessment methods, questionnaires observations, are often subjective static, lacking the ability capture dynamics. To address these shortcomings, this study explores use of physiological synchrony (PS) measured through electrocardiogram (ECG) data evaluate automated in high-resolution. Methods A multicentre observational field was conducted involving 214 first responders during mixed reality (MR) mass casualty training sessions. Participants were equipped with sensors MR gear. The dyadic PS using heart rate (HR), root mean square successive differences (RMSSD), standard deviation NN intervals (SDNN). Data collected at high frequency analysed dynamic time warping (dtw) assess fluctuations PS. Results Findings indicate varies significantly by task nature, higher cooperative tasks compared baseline. Different ECG metrics offered unique insights into Proximity scenario conditions influenced PS, closer teamwork leading Smaller sampling (e.g. 5 s) provided a detailed view over time. Discussion results demonstrate potential an indicator performance cohesion. High-resolution monitoring provides dynamics, offering high-resolution traditional methods cannot provide. integration measures programmes enhance objective, data. Conclusion This shows data, sensitive activities, highlight various aspects performance, captures Further research needed validate findings across diverse scenarios. approach could improve methodologies, resulting better-prepared teams care

Language: Английский

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Group identification drives brain integration for collective performance

Published: April 1, 2025

Group identification may influence collective behaviors and result in variations performance. However, the evidence for this hypothesis neural mechanisms involved remain elusive. To end, we conducted a study using both single-brain activation multi-brain synchronization analyses to investigate how group influences problem-solving murder mystery case. Our results showed that groups with high levels of performed better individually compared those low identification, as supported by dorsolateral prefrontal cortex (DLPFC). Furthermore, high-identification also enhanced performance, within-group (GNS) orbitofrontal (OFC). The DLPFC-OFC connectivity played crucial role linking individual Overall, our provides two-in-one model explain affects decision-making processes, offering valuable insights into dynamics interactions.

Language: Английский

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Demonstrating NeuResonance: Inter-brain Synchronization and Feedback Modalities in Collaboration

Published: April 23, 2025

Language: Английский

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NeuResonance: Exploring Feedback Experiences for Fostering the Inter-brain Synchronization

Published: April 24, 2025

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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Cognitive Reappraisal and Expressive Suppression Evoke Distinct Neural Connections during Interpersonal Emotion Regulation

Journal of Neuroscience, Journal Year: 2023, Volume and Issue: 43(49), P. 8456 - 8471

Published: Oct. 18, 2023

Interpersonal emotion regulation is the dynamic process where regulator aims to change target's emotional state, which presumed engage three neural systems: cognitive control (i.e., dorsal and ventral lateral PFC, etc.), empathy/social cognition premotor regions, temporal-parietal junction, affective response insula, amygdala, etc.). This study aimed identify underlying correlate (especially interpersonal one), of based on two typical strategies (cognitive appraisal, expressive suppression). Thirty-four female dyads (friends) were randomly assigned into strategy groups, with one as target other downregulate negative emotions using strategies. A functional near-infrared spectroscopy system was used simultaneously measure participants' activity. Results showed that these could successfully targets' emotions. Both evoked intrapersonal couplings between control, social cognition, mirror neuron systems (e.g., cortex, whereas reappraisal (vs suppression) a broader pattern. Further, involved increased brain synchronization prefrontal temporal areas at sharing stage, suppression associated PFC stage. These findings indicate regions within abovementioned systems, possibly involving mental processes, such mentalizing, observing, underlie or suppression. SIGNIFICANCE STATEMENT As significant regulation, subserves parent–child, couple, leader–follower relationships. Despite enormous growth in research field lacks insight correlates underpinning regulation. probe multibrain neuroimaging hyperscanning) spectroscopy. both downregulated More importantly, they observing. deepen our understanding

Language: Английский

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Influence of interpersonal distance on collaborative performance in the joint Simon task—An fNIRS-based hyperscanning study

NeuroImage, Journal Year: 2023, Volume and Issue: 285, P. 120473 - 120473

Published: Nov. 30, 2023

Collaboration is a critical skill in everyday life. It has been suggested that collaborative performance may be influenced by social factors such as interpersonal distance, which defined the perceived psychological distance between individuals. Previous literature reported close promote level of self-other integration interacting members, and turn, enhance performance. These studies mainly focused on interdependent collaboration, requires high levels shared representations integration. However, little known about effect independent collaboration (e.g., joint Simon task), individuals perform task independently while final outcome determined parties. To address this issue, we simultaneously measured frontal activations ninety-four pairs participants using functional near-infrared spectroscopy (fNIRS)-based hyperscanning technique they performed task. Behavioral results showed Joint Effect (JSE), RT difference incongruent congruent conditions indicating collaborators, was larger friend group than stranger group. Consistently, inter-brain neural synchronization (INS) across dorsolateral medial parts prefrontal cortex also stronger In addition, INS left negatively predicted JSE only suggest mental representation among turn influences their

Language: Английский

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IHGC-GAN: influence hypergraph convolutional generative adversarial network for risk prediction of late mild cognitive impairment based on imaging genetic data

Briefings in Bioinformatics, Journal Year: 2022, Volume and Issue: 23(3)

Published: March 15, 2022

Abstract Predicting disease progression in the initial stage to implement early intervention and treatment can effectively prevent further deterioration of condition. Traditional methods for medical data analysis usually fail perform well because their incapability mining correlation pattern pathogenies. Therefore, many calculation have been excavated from field deep learning. In this study, we propose a novel method influence hypergraph convolutional generative adversarial network (IHGC-GAN) risk prediction. First, is constructed with genes brain regions as nodes. Then, an transmission model built portray associations between nodes rule information. Third, IHGC-GAN based on model. This innovatively combines graph (GCN) GAN. The GCN used generator GAN spread update lesion information region-gene hypergraph. Finally, prediction accuracy improved by mutual competition repeated iteration discriminator. not only capture evolutionary mild cognitive impairment (EMCI) late MCI (LMCI) but also extract pathogenic factors predict EMCI LMCI. results two datasets indicate that has better performance than advanced variety indicators.

Language: Английский

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