Evidence map›Paper›PMID 32657022›Full record

ArticleBrain and behavior2020

Intra and inter: Alterations in functional brain resting-state networks after peripheral nerve injury.

Xiang-Xin Xing, Xu-Yun Hua, Mou-Xiong Zheng, Zhen-Zhen Ma, Bei-Bei Huo, Jia-Jia Wu, Shu-Jie Ma, Jie Ma, Jian-Guang Xu

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 1 institution in 1 country.

Xiang-Xin XingSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xu-Yun HuaDepartment of Traumatology and Orthopedics, Yueyang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Mou-Xiong ZhengDepartment of Traumatology and Orthopedics, Yueyang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Zhen-Zhen MaSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Bei-Bei HuoSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jia-Jia WuCenter of Rehabilitation Medicine, Yueyang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Shu-Jie MaSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jie MaSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jian-Guang XuSchool of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID 0000-0003-0601-3403
Shanghai University of Traditional Chinese Medicine · CN

Funding

National Key R&D Program of China 2018YFC2001600Shanghai Science and Technology Committee 18441903800Shanghai Science and Technology Committee 18441903903900Shanghai Science and Technology Committee 18511108300
6 · The paper itself

Abstract

introductionNumerous treatments suggest that brain plasticity changes after peripheral nerve injury (PNI), and most studies examining functional magnetic resonance imaging focused on abnormal changes in specific brain regions. However, it is the large-scale interaction of neuronal networks instead of isolated brain regions contributed to the functional recovery after PNI. In the present study, we examined the intra- and internetworks alterations between the related functional resting-state networks (RSNs) in a sciatic nerve injury rat model.

methodsNinety-six female rats were divided into a control and model group. Unilateral sciatic nerve transection and direct anastomosis were performed in the latter group. We used an independent component analysis (ICA) algorithm to observe the changes in RSNs and assessed functional connectivity between different networks using the functional networks connectivity (FNC) toolbox.

resultsSix RSNs related to PNI were identified, including the basal ganglia network (BGN), sensorimotor network (SMN), salience network (SN), interoceptive network (IN), cerebellar network (CN), and default mode network (DMN). The model group showed significant changes in whole-brain FC changes within these resting-state networks (RSNs), but four of these RSNs exhibited a conspicuous decrease. The interalterations performed that significantly decreased FNC existed between the BGN and SMN, BGN and IN, and BGN and DMN (p < .05, corrected). A significant increase in FNC existed between DMN and CN and between CN and SN (p < .05, corrected).

conclusionThe results showed the large-scale functional reorganization at the network level after PNI. This evidence reveals new implications to the pathophysiological mechanisms in brain plasticity of PNI.

Indexed as

Brain MappingPeripheral Nerve InjuriesAnimalsBrainFemaleMagnetic Resonance ImagingNerve NetNeuronal PlasticityRatsfunctional connectivityindependent component analysisperipheral nerve injuryresting-state network

Identifiers

PMID32657022
PMCPMC7507705
OpenAlexW3042692233

What OpenQuestion holds

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LicenceCC BY
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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.