Evidence map›Paper›PMID 32588522›Full record

ArticleCNS neuroscience & therapeutics2020

Disrupted functional network connectivity predicts cognitive impairment after acute mild traumatic brain injury.

Fengfang Li, Liyan Lu, Song'an Shang, Lanyue Hu, Huiyou Chen, Peng Wang, Hong Zhang, Yu-Chen Chen, Xindao Yin

Open access · goldAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 7% of its field
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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 2 institutions in 1 country.

Fengfang LiDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Liyan LuDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Song'an ShangDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Lanyue HuDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Huiyou ChenDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Peng WangDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Hong ZhangDepartment of Radiology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China.ORCID 0000-0001-5827-2488
Yu-Chen ChenDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.ORCID 0000-0002-8539-7224
Xindao YinDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Nanjing Medical University · CNNanjing Jiangning Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aimed to detect alterations of brain functional connectivity (FC) in acute mild traumatic brain injury (mTBI) and to estimate the extent to which these FC differences predicted the characteristics of posttraumatic cognitive impairment.

methodsResting-state fMRI data were acquired from acute mTBI patients (n = 50) and healthy controls (HCs) (n = 43). Resting-state networks (RSNs) were established based on independent component analysis (ICA), and functional network connectivity (FNC) analysis was performed. Subsequently, we analyzed the correlations between FNC abnormalities and cognitive impairment outcomes.

resultsAltered FC within the salience network (SN), sensorimotor network (SMN), default mode network (DMN), executive control network (ECN), visual network (VN), and cerebellum network (CN) was found in the mTBI group relative to the HC group. Moreover, different patterns of altered network interactions were found between the mTBI patients and HCs, including the SN-CN, VN-SMN, and ECN-DMN connections. Correlations between functional disconnection and cognitive impairment measurements in acute mTBI patients were also found.

conclusionThis study indicated that widespread FNC impairment and altered integration existed in mTBI patients at acute stage, suggesting that FNC disruption as a biomarker may be applied for the early diagnosis and prediction of cognitive impairment in mTBI.

Indexed as

ConnectomeAcute DiseaseAdultBrain ConcussionCerebral CortexCognitive DysfunctionDefault Mode NetworkFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetYoung Adultcognitive impairmentfunctional network connectivitymild traumatic brain injuryresting-state fMRI

Identifiers

PMID32588522
PMCPMC7539836
OpenAlexW3037879998

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.