» Articles » PMID: 34385312

Neural Signatures of Attentional Engagement During Narratives and Its Consequences for Event Memory

Overview
Specialty Science
Date 2021 Aug 13
PMID 34385312
Citations 34
Authors
Affiliations
Soon will be listed here.
Abstract

As we comprehend narratives, our attentional engagement fluctuates over time. Despite theoretical conceptions of narrative engagement as emotion-laden attention, little empirical work has characterized the cognitive and neural processes that comprise subjective engagement in naturalistic contexts or its consequences for memory. Here, we relate fluctuations in narrative engagement to patterns of brain coactivation and test whether neural signatures of engagement predict subsequent memory. In behavioral studies, participants continuously rated how engaged they were as they watched a television episode or listened to a story. Self-reported engagement was synchronized across individuals and driven by the emotional content of the narratives. In functional MRI datasets collected as different individuals watched the same show or listened to the same story, engagement drove neural synchrony, such that default mode network activity was more synchronized across individuals during more engaging moments of the narratives. Furthermore, models based on time-varying functional brain connectivity predicted evolving states of engagement across participants and independent datasets. The functional connections that predicted engagement overlapped with a validated neuromarker of sustained attention and predicted recall of narrative events. Together, our findings characterize the neural signatures of attentional engagement in naturalistic contexts and elucidate relationships among narrative engagement, sustained attention, and event memory.

Citing Articles

Narrative 'twist' shifts within-individual neural representations of dissociable story features.

Sava-Segal C, Grall C, Finn E bioRxiv. 2025; .

PMID: 39868260 PMC: 11761699. DOI: 10.1101/2025.01.13.632631.


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

Levordashka A, Richardson M, Hirst R, Gilchrist I, Fraser D Behav Res Methods. 2025; 57(1):44.

PMID: 39762468 PMC: 11703984. DOI: 10.3758/s13428-024-02522-0.


Brain network dynamics predict moments of surprise across contexts.

Zhang Z, Rosenberg M Nat Hum Behav. 2024; .

PMID: 39715875 DOI: 10.1038/s41562-024-02017-0.


Youth Generalized Anxiety and Brain Activation States During Socioemotional Processing.

Camacho M, Schwarzlose R, Perino M, Labonte A, Koirala S, Barch D JAMA Psychiatry. 2024; 82(3):264-273.

PMID: 39693064 PMC: 11883562. DOI: 10.1001/jamapsychiatry.2024.4105.


Narrative predicts cardiac synchrony in audiences.

Hammond H, Armstrong M, Thomas G, Dalmaijer E, Bull D, Gilchrist I Sci Rep. 2024; 14(1):26369.

PMID: 39487185 PMC: 11530447. DOI: 10.1038/s41598-024-73066-8.


References
1.
Corbetta M, Shulman G . Control of goal-directed and stimulus-driven attention in the brain. Nat Rev Neurosci. 2002; 3(3):201-15. DOI: 10.1038/nrn755. View

2.
Franklin N, Norman K, Ranganath C, Zacks J, Gershman S . Structured Event Memory: A neuro-symbolic model of event cognition. Psychol Rev. 2020; 127(3):327-361. DOI: 10.1037/rev0000177. View

3.
Rosenberg M, Noonan S, DeGutis J, Esterman M . Sustaining visual attention in the face of distraction: a novel gradual-onset continuous performance task. Atten Percept Psychophys. 2013; 75(3):426-39. DOI: 10.3758/s13414-012-0413-x. View

4.
Shen X, Finn E, Scheinost D, Rosenberg M, Chun M, Papademetris X . Using connectome-based predictive modeling to predict individual behavior from brain connectivity. Nat Protoc. 2017; 12(3):506-518. PMC: 5526681. DOI: 10.1038/nprot.2016.178. View

5.
Yamashita A, Rothlein D, Kucyi A, Valera E, Esterman M . Brain state-based detection of attentional fluctuations and their modulation. Neuroimage. 2021; 236:118072. DOI: 10.1016/j.neuroimage.2021.118072. View