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Synchronization patterns reveal neuronal coding of working memory content

delete2021-08-01
delete14
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OA
AI
F
Fahimeh Mamashli
S
Sheraz Khan
M
Matti Hämäläinen
M
Mainak Jas
T
Tommi Raij
S
Steven M. Stufflebeam
A
Aapo Nummenmaa
J
Jyrki Ahveninen *
DOI:10.1016/j.celrep.2021.109566delete
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摘要

摘要

En 中文
Neuronal oscillations are suggested to play an important role in auditory working memory (WM), but their contribution to content-specific representations has remained unclear Here, we measure magnetoencephalography during a retro-cueing task with parametric ripple-sound stimuli, which are spectrotemporally similar to speech but resist non-auditory memory strategies. Using machine learning analyses, with rigorous between-subject cross-validation and non-parametric permutation testing, we show that memorized sound content is strongly represented in phase-synchronization patterns between subregions of auditory and front-oparietal cortices. These phase-synchronization patterns predict the memorized sound content steadily across the studied maintenance period. In addition to connectivity-based representations, there are indices of more local, activity silent representations in auditory cortices, where the decoding accuracy of WM content significantly increases after task-irrelevant impulse stimuli. Our results demonstrate that synchronization patterns across auditory sensory and association areas orchestrate neuronal coding of auditory WM content. This connectivity-based coding scheme could also extend beyond the auditory domain.
Keyword:
SHORT-TERM-MEMORY
GAMMA-BAND ACTIVITY
SURFACE-BASED ANALYSIS
PREFRONTAL CORTEX
AUDITORY-CORTEX
EEG-DATA
DYNAMICS
REPRESENTATIONS
INFORMATION
PARIETAL
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期刊

Cell Reports 封面图
Cell Reports
IF:
6.9
论文数:
1.7W
被引数:
10.2W

机构

H
Harvard University
学者数:
26.5W
论文数: 22.0W
被引数: 28.7W
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