Evidence map›Paper›PMID 31901155›Full record

ArticleCNS neuroscience & therapeutics2020

Microstructural disruption of the right inferior fronto-occipital and inferior longitudinal fasciculus contributes to WMH-related cognitive impairment.

Hai-Feng Chen, Li-Li Huang, Hui-Ya Li, Yi Qian, Dan Yang, Zhao Qing, Cai-Mei Luo, Meng-Chun Li, Bing Zhang, Yun Xu

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 67 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 2% 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

67 citing papers in PubMed, 1 synthesis or guideline pooled it, 108 citations in OpenAlex.

  1. Pooled it
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  3. [White matter microstructural disturbance and its relationship with cognitive function in schizophrenia with comorbidity of metabolic syndrome].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
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7 more citing papers are in PubMed but not listed here.

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

10 authors at 2 institutions in 1 country.

Hai-Feng ChenDepartment of Neurology, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Drum Tower Hospital, Nanjing University, Nanjing, China.
Li-Li HuangDepartment of Neurology, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Drum Tower Hospital, Nanjing University, Nanjing, China.
Hui-Ya LiDepartment of Neurology, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Drum Tower Hospital, Nanjing University, Nanjing, China.
Yi QianDepartment of Neurology, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Drum Tower Hospital, Nanjing University, Nanjing, China.
Dan YangDepartment of Neurology, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Drum Tower Hospital, Nanjing University, Nanjing, China.
Zhao QingDepartment of Radiology, Afliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.
Cai-Mei LuoDepartment of Neurology, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Drum Tower Hospital, Nanjing University, Nanjing, China.
Meng-Chun LiDepartment of Neurology, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Drum Tower Hospital, Nanjing University, Nanjing, China.
Bing ZhangDepartment of Radiology, Afliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.
Yun XuDepartment of Neurology, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Drum Tower Hospital, Nanjing University, Nanjing, China.ORCID 0000-0001-5288-0319
Jiangsu Province Blood Center · CNNanjing Drum Tower Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsWhite matter hyperintensity (WMH) is the most common neuroimaging manifestation of cerebral small vessel disease and is related to cognitive dysfunction or dementia. This study aimed to investigate the mechanism and effective indicators to predict WMH-related cognitive impairment.

methodsWe recruited 22 healthy controls (HC), 25 cases of WMH with normal cognition (WMH-NC), and 23 cases of WMH with mild cognitive impairment (WMH-MCI). All individuals underwent diffusion tensor imaging (DTI) and a standardized neuropsychological assessment. Automated Fiber Quantification was used to extract altered DTI metrics between groups, and partial correlation was performed to assess the associations between WM integrity and cognitive performance. Furthermore, machine learning analyses were performed to determine underlying imaging markers of WMH-related cognitive impairment.

resultsOur study found that mean diffusivity (MD) values of several fiber bundles including the bilateral anterior thalamic radiation (ATR), the left inferior fronto-occipital fasciculus (IFOF), the right inferior longitudinal fasciculus (ILF), and the right superior longitudinal fasciculus (SLF) were negatively correlated with memory function, while that of the anterior component of the right IFOF and the posterior and intermediate component of the right ILF showed significant negative correlation with MMSE and episodic memory, respectively. Furthermore, machine learning analyses showed that the accuracy of recognizing WMH-MCI patients from the WMH populations was up to 80.5% and the intermediate and posterior components of the right ILF and the anterior component of the right IFOF contribute the most.

conclusionsChanges in the properties of DTI may be the potential mechanism of WMH-related MCI, especially the right IFOF and the right ILF, which may become imaging markers for predicting WMH-related cognitive dysfunction.

Indexed as

AgedAged, 80 and overCognitive DysfunctionCross-Sectional StudiesDiffusion Tensor ImagingFemaleFrontal LobeHumansMaleMiddle AgedNeuropsychological TestsOccipital LobeWhite Matterautomated fiber quantificationcognitive impairmentthe right inferior fronto-occipital fasciculusthe right inferior longitudinal fasciculuswhite matter hyperintensity

Identifiers

PMID31901155
PMCPMC7163793
OpenAlexW2997775611

What OpenQuestion holds

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LicenceCC BY
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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.