Trace: A research media player measuring real-time audience engagement

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

Published: Jan. 6, 2025

Abstract Measuring attention and engagement is essential for understanding a wide range of psychological phenomena. Advances in technology have made it possible to measure real-time naturalistic stimuli, providing ecologically valid insight into temporal dynamics. We developed research protocol called Trace , which records anonymous facial landmarks, expressions, patterns movement associated with screen-based media. runs standard internet browser resembles contemporary media player. It embedded the open-source package PsychoJS (the JavaScript sister library PsychoPy) hosted via Pavlovia, can be integrated behavioral methods. Developed over multiple iterations tested 200 participants three studies, including official broadcast major theatre production, powerful, user-friendly allowing researchers capture audience as part authentic, experiences.

Language: Английский

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Tripartite organization of brain state dynamics underlying spoken narrative comprehension

Published: Jan. 6, 2025

Speech comprehension involves the dynamic interplay of multiple cognitive processes, from basic sound perception, to linguistic encoding, and finally complex semantic-conceptual interpretations. How brain handles diverse streams information processing remains poorly understood. Applying Hidden Markov Modeling fMRI data obtained during spoken narrative comprehension, we reveal that whole networks predominantly oscillate within a tripartite latent state space. These states are respectively characterized by high activities in sensory-motor (State #1), bilateral temporal #2), DMN #3) regions, with State #2 acting as transitional hub. The three selectively modulated acoustic, word-level semantic clause-level properties narrative. Moreover, alignment best performer expression can predict participants’ scores. results reproducible different network atlas generalizable two datasets consisting young older adults. Our study suggests underlies switching through space, each probably dedicated specific component language faculty, effective relies on engaging those timely manner.

Language: Английский

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Tripartite organization of brain state dynamics underlying spoken narrative comprehension

eLife, Journal Year: 2025, Volume and Issue: 13

Published: Jan. 21, 2025

Speech comprehension involves the dynamic interplay of multiple cognitive processes, from basic sound perception, to linguistic encoding, and finally complex semantic-conceptual interpretations. How brain handles diverse streams information processing remains poorly understood. Applying Hidden Markov Modeling fMRI data obtained during spoken narrative comprehension, we reveal that whole networks predominantly oscillate within a tripartite latent state space. These states are, respectively, characterized by high activities in sensory-motor (State #1), bilateral temporal #2), default mode (DMN; State #3) regions, with #2 acting as transitional hub. The three are selectively modulated acoustic, word-level semantic, clause-level semantic properties narrative. Moreover, alignment both best performer group-mean expression can predict participants’ scores measured post-scan recall. results reproducible different network atlas generalizable two datasets consisting young older adults. Our study suggests underlies switching through space, each probably dedicated specific component language faculty, effective relies on engaging those timely manner.

Language: Английский

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Stimulus Selection Influences Prediction of Individual Phenotypes in Naturalistic Conditions

Human Brain Mapping, Journal Year: 2025, Volume and Issue: 46(3)

Published: Feb. 15, 2025

While the use of naturalistic stimuli such as movie clips for understanding individual differences and brain-behaviour relationships attracts increasing interest, influence stimulus selection remains largely unclear. By using machine learning to predict traits (phenotypes) from brain activity evoked during various clips, we show that different can result in distinct prediction performances. In regions related lower-level processing stimulus, a certain degree benefits stronger synchronisation across subjects. contrast, better predictions frontoparietal are mainly associated with larger inter-subject variability. Furthermore, demonstrate while rich social content general achieve predictions, importance specific features highly depends on phenotype under investigation. Overall, our findings underscore careful provide novel insights into conditions, opening new avenues future research.

Language: Английский

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A naturalistic fMRI dataset in response to public speaking

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 19, 2025

Abstract Public speaking serves as a powerful tool for informing, inspiring, persuading, motivating, or entertaining an audience. While some speeches effectively engage audience and disseminate knowledge, others fail to resonate. This dataset presents functional magnetic resonance imaging (fMRI) data from 31 participants (14 females; age: 22.29 ± 2.84 years) who viewed two informative with varying effectiveness, selected YiXi talks (similar TED Talks), matched in length topic. A total of 22 (10 22.64 2.77 completed the full task were included validation analyses. comprehensive process, involving behavioral analysis head motion assessment, confirmed quality fMRI dataset. previous analyses have used inter-subject correlation examine neural synchronization during reception public speaking, this can be utilized variety further elucidate mechanisms underlying engagement effective communication.

Language: Английский

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The time lag in local field potential signals for the development of its Bayesian belief network

EURASIP Journal on Advances in Signal Processing, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Sept. 27, 2024

Language: Английский

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The journey from educational research to classroom practice

Journal of Education for Teaching International Research and Pedagogy, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Nov. 28, 2024

We consider what is known about the potential internal processes involved when educators come to use research findings in their classroom practice. undertook a conceptual review drawing on range of disciplines, with ultimately categorised under six phases regarding uptake and implementation. This categorisation provides structure for acquiring explanatory insight into different approaches fostering utilisation. Findings are summarised form questions prompt reflection by researchers each phase planning bridge research-practice gap. Illustrative examples provided how these might offer success or otherwise such ventures. Areas highlighted where further would strengthen develop current understanding educators' utilisation research.

Language: Английский

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Deciphering the neural responses to a naturalistic persuasive message

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(43)

Published: Oct. 16, 2024

Effective health promotion may benefit from understanding how persuasion emerges. While earlier research has identified brain regions implicated in persuasion, these studies often relied on event-related analyses and frequently simplified persuasive communications. The present study investigates the neural basis of valuation change induced by a healthy eating call, employing naturalistic stimuli. Fifty participants performed two blocks bidding task, which they had to bid sugar-containing, sugar-free, nonedible products during functional MRI. In between blocks, listened call that influenced their behavior. Intriguingly, who resisted exhibited increased synchronization activity listening several regions, including default mode network structures. Additionally, intersubject connectivity among was found be weaker persuaded individuals. These results emphasize individualized nature processing messages, challenging conventional interpretations synchronized activity. Our findings support emerging practice tailoring messages campaigns.

Language: Английский

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Tripartite organization of brain state dynamics underlying spoken narrative comprehension

Published: Oct. 8, 2024

Speech comprehension involves the dynamic interplay of multiple cognitive processes, from basic sound perception, to linguistic encoding, and finally complex semantic-conceptual interpretations. How brain handles diverse streams information processing remains poorly understood. Applying Hidden Markov Modeling fMRI data obtained during spoken narrative comprehension, we reveal that whole networks predominantly oscillate within a tripartite latent state space. These states are respectively characterized by high activities in sensory-motor (State #1), bilateral temporal #2), DMN #3) regions, with State #2 acting as transitional hub. The three selectively modulated acoustic, word-level semantic clause-level properties narrative. Moreover, alignment best performer expression can predict participants’ scores. results reproducible different network atlas generalizable two independent datasets consisting young older adults. Our study suggests underlies switching through space, each probably dedicated specific component language faculty, effective relies on engaging those timely manner.

Language: Английский

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Tripartite organization of brain state dynamics underlying spoken narrative comprehension

eLife, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 8, 2024

Speech comprehension involves the dynamic interplay of multiple cognitive processes, from basic sound perception, to linguistic encoding, and finally complex semantic-conceptual interpretations. How brain handles diverse streams information processing remains poorly understood. Applying Hidden Markov Modeling fMRI data obtained during spoken narrative comprehension, we reveal that whole networks predominantly oscillate within a tripartite latent state space. These states are, respectively, characterized by high activities in sensory-motor (State #1), bilateral temporal #2), default mode (DMN; State #3) regions, with #2 acting as transitional hub. The three are selectively modulated acoustic, word-level semantic, clause-level semantic properties narrative. Moreover, alignment both best performer group-mean expression can predict participants' scores measured post-scan recall. results reproducible different network atlas generalizable two datasets consisting young older adults. Our study suggests underlies switching through space, each probably dedicated specific component language faculty, effective relies on engaging those timely manner.

Language: Английский

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