Evidence map›Paper›PMID 29134612›Full record

ArticleBrain imaging and behavior2018

Altered connectivity patterns among resting state networks in patients with ischemic white matter lesions.

Ju-Rong Ding, Xin Ding, Bo Hua, Xingzhong Xiong, Yuqiao Wen, Zhongxiang Ding, Qingsong Wang, Paul Thompson

Abstract read
In one paragraph

Article in Brain imaging and behavior, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  20. 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
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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

8 authors.

Ju-Rong DingSchool of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China. jurongding@gmail.com.ORCID http://orcid.org/0000-0001-6708-5131
Xin DingDepartment of Neurology, Chengdu Military General Hospital, Chengdu, China.
Bo HuaSchool of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China.
Xingzhong XiongSchool of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China.
Yuqiao WenSchool of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China.
Zhongxiang DingDepartment of Radiology, Zhejiang Provincial People's Hospital, Hangzhou, China.
Qingsong WangDepartment of Neurology, Chengdu Military General Hospital, Chengdu, China.
Paul ThompsonImaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Marina del Rey, CA, USA. pthomp@usc.edu.

Funding

Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
Educational Commission of Sichuan Province of China 17ZA0269National Natural Science Foundation of China 81401482NIBIB NIH HHS U54 EB020403NIH Big Data to Knowledge (BD2K) program U54 EB020403Youth Science and Technology Innovation Group of Sichuan Provincial 2015TD0022
6 · The paper itself

Abstract

White matter lesions (WMLs) have been associated with cognitive and motor decline. Resting state networks (RSNs) are spatially coherent patterns in the human brain and their interactions sustain our daily function. Therefore, investigating the altered intra- and inter-network connectivity among the RSNs may help to understand the association of WMLs with impaired cognitive and motor function. Here, we assessed alterations in functional connectivity patterns based on six well-defined RSNs-the default mode network (DMN), dorsal attention network (DAN), frontal-parietal control network (FPCN), auditory network (AN), sensory motor network (SMN) and visual network (VN)-in 15 patients with ischemic WMLs and 15 controls. In the patients, Spearman's correlation analysis was further performed between these alterations and cognitive test scores, including Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores. Our results showed wide alterations of inter-network connectivity mainly involving the SMN, DMN, FPCN and DAN, and some alterations correlated with cognitive test scores in the patients. The reduced functional connectivities in the SMN-AN, SMN-VN, FPCN-AN, DAN-VN pairs may account for the cognitive and motor decline in patients with ischemic WMLs, while the increased functional connectivities in the DMN-AN, DMN-FPCN and DAN-FPCN pairs may reflect a functional network reorganization after damage to white matter. It is unexpected that altered intra-network connectivities were found within the AN and VN, which may explain the impairments in verbal fluency and information retrieval associated with WMLs. This study highlights the importance of functional connectivity in understanding how WMLs influence cognitive and behavior dysfunction.

Indexed as

CognitionAgedBrainBrain IschemiaBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysRestWhite MatterfMRIFunctional connectivityResting state networksWhite matter lesions

Identifiers

PMID29134612
PMCPMC6290724

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Registered trials

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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.