Evidence map›Paper›PMID 30670953›Full record

ArticleFrontiers in systems neuroscience2018

Spectral Imprints of Working Memory for Everyday Associations in the Frontoparietal Network.

Elizabeth L Johnson, David King-Stephens, Peter B Weber, Kenneth D Laxer, Jack J Lin, Robert T Knight

Abstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Theta-Alpha Connectivity in the Hippocampal-Entorhinal Circuit Predicts Working Memory Load.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Prefrontal lesions disrupt oscillatory signatures of spatiotemporal integration in working memory.Cortex; a journal devoted to the study of the nervous system and behavior · 2021
    Article
  15. Review
  16. Article
  17. Review
  18. Frontoparietal Network Connectivity During anFrontiers in psychiatry · 2020
    Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Elizabeth L JohnsonHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States.
David King-StephensDepartment of Neurology and Neurosurgery, California Pacific Medical Center, San Francisco, CA, United States.
Peter B WeberDepartment of Neurology and Neurosurgery, California Pacific Medical Center, San Francisco, CA, United States.
Kenneth D LaxerDepartment of Neurology and Neurosurgery, California Pacific Medical Center, San Francisco, CA, United States.
Jack J LinComprehensive Epilepsy Program, Department of Neurology, University of California, Irvine, Irvine, CA, United States.
Robert T KnightHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States.

Funding

Attention, Orientation and the Human Prefrontal CortexR01NS021135 · NINDS · UNIVERSITY OF CALIFORNIA DAVIS · PI Robert Thomas Knight · 1985 to 2026
$6.5M
ATTENTION, ORIENTATION, & THE HUMAN PREFRONTAL CORTEXR37NS021135 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI KNIGHT, ROBERT THOMAS · 2013 to 2019
$3.6M
NINDS NIH HHS R01 NS021135NINDS NIH HHS R37 NS021135
6 · The paper itself

Abstract

How does the human brain rapidly process incoming information in working memory? In growing divergence from a single-region focus on the prefrontal cortex (PFC), recent work argues for emphasis on how distributed neural networks are rapidly coordinated in support of this central neurocognitive function. Previously, we showed that working memory for everyday "what," "where," and "when" associations depends on multiplexed oscillatory systems, in which signals of different frequencies simultaneously link the PFC to parieto-occipital and medial temporal regions, pointing to a complex web of sub-second, bidirectional interactions. Here, we used direct brain recordings to delineate the frontoparietal oscillatory correlates of working memory with high spatiotemporal precision. Seven intracranial patients with electrodes simultaneously localized to prefrontal and parietal cortices performed a visuospatial working memory task that operationalizes the types of identity and spatiotemporal information we encounter every day. First, task-induced oscillations in the same delta-theta (2-7 Hz) and alpha-beta (9-24 Hz) frequency ranges previously identified using scalp electroencephalography (EEG) carried information about the contents of working memory. Second, maintenance was linked to directional connectivity from the parietal cortex to the PFC. However, presentation of the test prompt to cue identity, spatial, or temporal information changed delta-theta coordination from a unidirectional, parietal-led system to a bidirectional, frontoparietal system. Third, the processing of spatiotemporal information was more bidirectional in the delta-theta range than was the processing of identity information, where alpha-beta connectivity did not exhibit sensitivity to the contents of working memory. These findings implicate a bidirectional delta-theta mechanism for frontoparietal control over the contents of working memory.

Indexed as

directional connectivityECoGiEEGoscillationsparietal cortexprefrontal cortexworking memory

Identifiers

PMID30670953
PMCPMC6333050

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.