Evidence map›Paper›PMID 28553215›Full record

ArticleFrontiers in human neuroscience2017

EEG Cortical Connectivity Analysis of Working Memory Reveals Topological Reorganization in Theta and Alpha Bands.

Zhongxiang Dai, Joshua de Souza, Julian Lim, Paul M Ho, Yu Chen, Junhua Li, Nitish Thakor, Anastasios Bezerianos, Yu Sun

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Revisiting alpha-theta cross-frequency dynamics during working memory.Cerebral cortex (New York, N.Y. : 1991) · 2026
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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

9 authors.

Zhongxiang DaiCentre for Life Science, Singapore Institute for Neurotechnology, National University of SingaporeSingapore, Singapore.
Joshua de SouzaCentre for Life Science, Singapore Institute for Neurotechnology, National University of SingaporeSingapore, Singapore.
Julian LimNeuroscience and Behavioral Disorders Program, Centre of Cognitive Neuroscience, Duke-NUS Graduate Medical SchoolSingapore, Singapore.
Paul M HoCentre for Life Science, Singapore Institute for Neurotechnology, National University of SingaporeSingapore, Singapore.
Yu ChenComputational Intelligence Lab, School of Computer Engineering, Nanyang Technological UniversitySingapore, Singapore.
Junhua LiCentre for Life Science, Singapore Institute for Neurotechnology, National University of SingaporeSingapore, Singapore.
Nitish ThakorCentre for Life Science, Singapore Institute for Neurotechnology, National University of SingaporeSingapore, Singapore.
Anastasios BezerianosCentre for Life Science, Singapore Institute for Neurotechnology, National University of SingaporeSingapore, Singapore.
Yu SunCentre for Life Science, Singapore Institute for Neurotechnology, National University of SingaporeSingapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous studies have revealed various working memory (WM)-related brain activities that originate from various cortical regions and oscillate at different frequencies. However, multi-frequency band analysis of the brain network in WM in the cortical space remains largely unexplored. In this study, we employed a graph theoretical framework to characterize the topological properties of the brain functional network in the theta and alpha frequency bands during WM tasks. Twenty-eight subjects performed visual

Indexed as

cortical functional connectivityEEGeLORETAgraph theoryn-backworking memory

Identifiers

PMID28553215
PMCPMC5427143

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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.