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Temporal Dynamics on Mental Compression of Spatial Sequences Revealed by EEG-based Multivariate Decoding.

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Název: Temporal Dynamics on Mental Compression of Spatial Sequences Revealed by EEG-based Multivariate Decoding.
Autoři: Huang Y, Ke Y, Ming D
Zdroj: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2025 Jul; Vol. 2025, pp. 1-4.
Způsob vydávání: Journal Article
Jazyk: English
Informace o časopise: Publisher: [IEEE] Country of Publication: United States NLM ID: 101763872 Publication Model: Print Cited Medium: Internet ISSN: 2694-0604 (Electronic) Linking ISSN: 23757477 NLM ISO Abbreviation: Annu Int Conf IEEE Eng Med Biol Soc Subsets: MEDLINE
Imprint Name(s): Original Publication: [Piscataway, NJ] : [IEEE], [2007]-
Výrazy ze slovníku MeSH: Electroencephalography*/methods , Memory, Short-Term*/physiology , Brain*/physiology, Humans ; Male ; Adult ; Female ; Multivariate Analysis ; Young Adult
Abstrakt: Humans possess the ability to maintain and manipulate the multi-item sequences in working memory (WM). To investigate how varying levels of sequence complexity affect neural activity, we recorded electroencephalograms from 23 healthy volunteers performing a delayed sequence reproduction task. Specifically, we examined the role of frequency-specific oscillations in encoding and mental compression of spatial sequences with different geometrical regularities. Our results showed that greater sequence complexity was associated with lower performance and higher global field power. Multivariate pattern analysis (MVPA) of time-frequency EEG data revealed that the brain encoded complexity-sensitive information, particularly in both theta and alpha frequencies, starting from the middle stage of visual sequence presentation. Additionally, a time-by-time generalization approach indicated that neural representations of sequence complexity remained stable from the fourth visual stimulus onward, suggesting that the brain dynamically adjusts its oscillatory rhythms to accommodate the cognitive demands of the task. These findings provide new insights into the flexible nature of working memory and demonstrate how low-frequency oscillations coordinate memory representations across brain regions to support increasingly complex cognitive tasks.
Entry Date(s): Date Created: 20251203 Date Completed: 20251203 Latest Revision: 20251203
Update Code: 20251204
DOI: 10.1109/EMBC58623.2025.11253476
PMID: 41337295
Databáze: MEDLINE
Popis
Abstrakt:Humans possess the ability to maintain and manipulate the multi-item sequences in working memory (WM). To investigate how varying levels of sequence complexity affect neural activity, we recorded electroencephalograms from 23 healthy volunteers performing a delayed sequence reproduction task. Specifically, we examined the role of frequency-specific oscillations in encoding and mental compression of spatial sequences with different geometrical regularities. Our results showed that greater sequence complexity was associated with lower performance and higher global field power. Multivariate pattern analysis (MVPA) of time-frequency EEG data revealed that the brain encoded complexity-sensitive information, particularly in both theta and alpha frequencies, starting from the middle stage of visual sequence presentation. Additionally, a time-by-time generalization approach indicated that neural representations of sequence complexity remained stable from the fourth visual stimulus onward, suggesting that the brain dynamically adjusts its oscillatory rhythms to accommodate the cognitive demands of the task. These findings provide new insights into the flexible nature of working memory and demonstrate how low-frequency oscillations coordinate memory representations across brain regions to support increasingly complex cognitive tasks.
ISSN:2694-0604
DOI:10.1109/EMBC58623.2025.11253476