Evidence map›Paper›PMID 26924981›Full record

ArticleFrontiers in aging neuroscience2016

Preclinical Cerebral Network Connectivity Evidence of Deficits in Mild White Matter Lesions.

Ying Liang, Xuan Sun, Shijun Xu, Yaou Liu, Ruiwang Huang, Jianjun Jia, Zhanjun Zhang

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Severity of white matter hyperintensities: Lesion patterns, cognition, and microstructural changes.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    Article
  4. Article
  5. Use of Multimodal Magnetic Resonance Imaging Techniques to Explore Cognitive Impairment in Leukoaraiosis.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Review
  6. FOD Restoration for Enhanced Mapping of White Matter Lesion Connectivity.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2017
    Article
  7. Article
  8. 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.

Ying LiangState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal UniversityBeijing, China; BABRI Centre, Beijing Normal UniversityBeijing, China.
Xuan SunDepartment of Geriatric Neurology, Chinese PLA General Hospital Beijing, China.
Shijun XuChengdu University of Traditional Chinese Medicine Chengdu, China.
Yaou LiuDepartment of Radiology, Xuanwu Hospital, Capital Medical University Beijing, China.
Ruiwang HuangCentre for Studies of Psychological Application, South China Normal University Guangzhou, China.
Jianjun JiaDepartment of Geriatric Neurology, Chinese PLA General Hospital Beijing, China.
Zhanjun ZhangState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal UniversityBeijing, China; BABRI Centre, Beijing Normal UniversityBeijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

White matter lesions (WMLs) are notable for their high prevalence and have been demonstrated to be a potential neuroimaging biomarker of early diagnosis of Alzheimer's disease. This study aimed to identify the brain functional and structural mechanisms underlying cognitive decline observed in mild WMLs. Multi-domain cognitive tests, as well as resting-state, diffusion tensor and structural images were obtained on 42 mild WMLs and 42 age/sex-matched healthy controls. For each participant, we examined the functional connectivity (FC) of three resting-state networks (RSNs) related to the changed cognitive domains: the default mode network (DMN) and the bilateral fronto-parietal network (FPN). We also performed voxel-based morphometry analysis to compare whole-brain gray matter (GM) volume, atlas-based quantification of the white matter tracts interconnecting the RSNs, and the relationship between FC and structural connectivity. We observed FC alterations in the DMN and the right FPN combined with related white matter integrity disruption in mild WMLs. However, no significant GM atrophy difference was found. Furthermore, the right precuneus FC in the DMN exhibited a significantly negative correlation with the memory test scores. Our study suggests that in mild WMLs, dysfunction of RSNs might be a consequence of decreased white matter structural connectivity, which further affects cognitive performance.

Indexed as

cognitive impairmentsfunctional connectivitymild white matter lesionsresting-state networkswhite matter integrity

Identifiers

PMID26924981
PMCPMC4757671

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.