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When BERT meets Bilbo: a learning curve analysis of pretrained language model on disease classification
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In: BMC Med Inform Decis Mak (2022)
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Kinematic Motion Retargeting via Neural Latent Optimization for Learning Sign Language ...
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CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation ...
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Special Patterns of Dynamic Brain Networks Discriminate Between Face and Non-face Processing: A Single-Trial EEG Study
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In: Front Neurosci (2021)
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Abstract:
Face processing is a spatiotemporal dynamic process involving widely distributed and closely connected brain regions. Although previous studies have examined the topological differences in brain networks between face and non-face processing, the time-varying patterns at different processing stages have not been fully characterized. In this study, dynamic brain networks were used to explore the mechanism of face processing in human brain. We constructed a set of brain networks based on consecutive short EEG segments recorded during face and non-face (ketch) processing respectively, and analyzed the topological characteristic of these brain networks by graph theory. We found that the topological differences of the backbone of original brain networks (the minimum spanning tree, MST) between face and ketch processing changed dynamically. Specifically, during face processing, the MST was more line-like over alpha band in 0–100 ms time window after stimuli onset, and more star-like over theta and alpha bands in 100–200 and 200–300 ms time windows. The results indicated that the brain network was more efficient for information transfer and exchange during face processing compared with non-face processing. In the MST, the nodes with significant differences of betweenness centrality and degree were mainly located in the left frontal area and ventral visual pathway, which were involved in the face-related regions. In addition, the special MST patterns can discriminate between face and ketch processing by an accuracy of 93.39%. Our results suggested that special MST structures of dynamic brain networks reflected the potential mechanism of face processing in human brain.
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Keyword:
Neuroscience
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8221185/ https://doi.org/10.3389/fnins.2021.652920
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Dynamic Movement Primitive based Motion Retargeting for Dual-Arm Sign Language Motions ...
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ADFAC: Automatic detection of facial articulatory features
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In: MethodsX (2020)
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Open Agile text mining for bioinformatics: the PubAnnotation ecosystem
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Diverse Education Based on Specific Conditions in Rural Areas of China
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In: Studies in Literature and Language; Vol 19, No 3 (2019): Studies in Literature and Language; 92-95 ; 1923-1563 ; 1923-1555 (2019)
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Additional file 1: of Whole-genome sequencing and analysis of Plasmodium falciparum isolates from China-Myanmar border area ...
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Additional file 1: of Whole-genome sequencing and analysis of Plasmodium falciparum isolates from China-Myanmar border area ...
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Cross-modal Association between Auditory and Visuospatial Information in Mandarin Tone Perception in Noise by Native and Non-native Perceivers
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Cross-modal Association between Auditory and Visuospatial Information in Mandarin Tone Perception in Noise by Native and Non-native Perceivers
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Effects of acoustic and linguistic experience on Japanese pitch accent processing
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fMRI evidence for cortical modification during learning of Mandarin lexical tone
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The influence of visual speech information on the intelligibility of English consonants produced by non-native speakers
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