Unveiling complex brain dynamics during movie viewing via deep recurrent autoencoder model

•Leveraging naturalistic fMRI, we characterize the dynamic, complex interactions among large-scale brain networks during the viewing of emotionally charged movie.•The dynamic functional interactions covary with the development of the film's narrative, especially among the interactions of defaul...

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Vydáno v:	NeuroImage (Orlando, Fla.) Ročník 310; s. 121177
Hlavní autoři:	Wang, Kexin, Song, Limei, Li, Zhaowei, Wang, Liting, He, Xiaowei, Ren, Yudan, Lv, Jinglei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Inc 15.04.2025 Elsevier Limited Elsevier
Témata:	Adaptability Adult Arousal Autoencoder Brain - diagnostic imaging Brain - physiology Brain Mapping - methods Brain research Cognition & reasoning Deep learning Dynamic large-scale brain networks Emotions Emotions - physiology Energy consumption Female Functional magnetic resonance imaging Humans Information processing Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Memory Methods Motion Pictures Movie narrative structure Naturalistic fMRI Nerve Net - diagnostic imaging Nerve Net - physiology Neural networks Neuroimaging Recurrent autoencoder model Sliding window strategy Visual Perception - physiology Young Adult Naturalistic fMRI Recurrent autoencoder model Movie narrative structure Sliding window strategy Dynamic large-scale brain networks
ISSN:	1053-8119, 1095-9572
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Popis
Shrnutí:	•Leveraging naturalistic fMRI, we characterize the dynamic, complex interactions among large-scale brain networks during the viewing of emotionally charged movie.•The dynamic functional interactions covary with the development of the film's narrative, especially among the interactions of default mode network and dorsal attention network.•The dynamic interactions are also temporally synchronized with specific features of the movie, especially with the emotional arousal and valence, such as the interactions network associated with executive control network. Naturalistic stimuli have become an effective tool to uncover the dynamic functional brain networks triggered by cognitive and emotional real-life experiences through multimodal and dynamic stimuli. However, current research predominantly focused on exploring dynamic functional connectivity generated via chosen templates under resting-state paradigm, with relatively limited investigation into the dynamic functional interactions among large-scale brain networks. Moreover, these studies might overlook the longer time-scale adaptability and information transmission that occur over extended periods during naturalistic stimuli. In this study, we introduced an unsupervised deep recurrent autoencoder (DRAE) model combined with a sliding window approach, effectively capturing the brain's long-term temporal dependencies, as measured in functional magnetic resonance imaging (fMRI), when subjects viewing a long-duration and emotional film. The experimental results revealed that naturalistic stimuli can induce dynamic large-scale brain networks, of which functional interactions covary with the development of the film's narrative. Furthermore, the dynamic interactions among brain networks were temporally synchronized with specific features of the movie, especially with the emotional arousal and valence. Our study provided novel insight to the underlying neural mechanisms of dynamic functional interactions among brain regions in an ecologically valid sensory experience.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ISSN:	1053-8119 1095-9572
DOI:	10.1016/j.neuroimage.2025.121177