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The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

Neuronal synchrony reveals working memory networks and predicts individual memory capacity

Open access
Palva, J. Matias, Monto, Simo, Kulashekhar, Shrikanth, Palva, Satu·2010·Proceedings of the National Academy of Sciences

Abstract

Visual working memory (VWM) is used to maintain sensory information for cognitive operations, and its deficits are associated with several neuropsychological disorders. VWM is based on sustained neuronal activity in a complex cortical network of frontal, parietal, occipital, and temporal areas. The neuronal mechanisms that coordinate this distributed processing to sustain coherent mental images and the mechanisms that set the behavioral capacity limit have remained unknown. We mapped the anatomical and dynamic structures of network synchrony supporting VWM by using a neuro informatics approach and combined magnetoencephalography and electroencephalography. Interareal phase synchrony was sustained and stable during the VWM retention period among frontoparietal and visual areas in α- (10–13 Hz), β- (18–24 Hz), and γ- (30–40 Hz) frequency bands. Furthermore, synchrony was strengthened with increasing memory load among the frontoparietal regions known to underlie executive and attentional functions during memory maintenance. On the other hand, the subjects’ individual behavioral VWM capacity was predicted by synchrony in a network in which the intraparietal sulcus was the most central hub. These data suggest that interareal phase synchrony in the α-, β-, and γ-frequency bands among frontoparietal and visual regions could be a systems level mechanism for coordinating and regulating the maintenance of neuronal object representations in VWM.

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Metadata

Authors
Palva, J. M., Monto, S., Kulashekhar, S., & Palva, S.
Venue
Proceedings of the National Academy of Sciences
Published
2010-04-05
Volume
107
Issue
16
Pages
7580-7585
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2136363447
Cited by
592
References
53
FWCI
20.64
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Neuronal synchrony reveals working memory networks and predicts individual memory capacity. https://app.cochat.ai/papers/10.1073/pnas.0913113107
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Palva, J. M., Monto, S., Kulashekhar, S., & Palva, S. (2010). Neuronal synchrony reveals working memory networks and predicts individual memory capacity. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0913113107

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