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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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Jg. 310; S. 121177
Hauptverfasser:	Wang, Kexin, Song, Limei, Li, Zhaowei, Wang, Liting, He, Xiaowei, Ren, Yudan, Lv, Jinglei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Inc 15.04.2025 Elsevier Limited Elsevier
Schlagworte:	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
Online-Zugang:	Volltext
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