Evidence map›Paper›PMID 30900431›Full record

ArticleJournal of biomedical optics2019

Connectivity properties in the prefrontal cortex during working memory: a near-infrared spectroscopy study.

Jinyan Sun, Fang Liu, Haixian Wang, Anping Yang, Chenyang Gao, Zhicong Li, Xiangning Li

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

7 authors.

Jinyan SunFoshan Univ., China.
Fang LiuFoshan Univ., China.
Haixian WangFoshan Univ., China.
Anping YangFoshan Univ., China.
Chenyang GaoInstitute of Biomedical Engineering, Chinese Academy of Medical Sciences, China.
Zhicong LiGuangdong Medical Univ., China.
Xiangning LiBritton Chance Ctr. for Biomedical Photonics, Huazhong Univ. of Science and Technology, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Working memory (WM) plays a crucial role in human brain functions. The application of brain connectivity analysis helps to understand the brain network properties in WM. Combination of functional and effective connectivity can provide new insights for exploring network attributes. Nevertheless, few studies have combined these two modes in WM. Near-infrared spectroscopy was used to investigate the connectivity properties in the prefrontal cortex (PFC) during n-back (0-back and 2-back) tasks by combining functional and effective connectivity analysis. Our results demonstrated that the PFC network showed small-world properties in both WM tasks. The characteristic path length was significantly longer in the 2-back task than in the 0-back task, while there was no obvious difference in the clustering coefficient between two tasks. Regarding the effective connectivity, the Granger causality (GC) was higher for right PFC→left PFC than for left PFC→right PFC in the 2-back task. Compared with the 0-back task, GC of right PFC→left PFC was higher in the 2-back task. Our findings show that, along with memory load increase, long range connections in PFC are enhanced and this enhancement might be associated with the stronger information flow from right PFC to left PFC.

Indexed as

Memory, Short-TermSpectroscopy, Near-InfraredAdultAlgorithmsBrain MappingCluster AnalysisFemaleHumansMaleNerve NetPrefrontal CortexYoung Adultbrain connectivityn-backnear-infrared spectroscopyprefrontal cortexworking memory

Identifiers

PMID30900431
PMCPMC6992893

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.