Evidence map›Paper›PMID 31675160›Full record

ArticleHuman brain mapping2020

Understanding the association between psychomotor processing speed and white matter hyperintensity: A comprehensive multi-modality MR imaging study.

Shuyue Wang, Yeerfan Jiaerken, Xinfeng Yu, Zhujing Shen, Xiao Luo, Hui Hong, Jianzhong Sun, Xiaojun Xu, Ruiting Zhang, Ying Zhou and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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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

13 authors at 1 institution in 1 country.

Shuyue WangDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Yeerfan JiaerkenDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Xinfeng YuDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Zhujing ShenDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Xiao LuoDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Hui HongDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Jianzhong SunDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Xiaojun XuDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Ruiting ZhangDepartment of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Ying ZhouDepartment of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Min LouDepartment of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Peiyu HuangDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Minming ZhangDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0003-0145-7558
Second Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive processing speed is crucial for human cognition and declines with aging. White matter hyperintensity (WMH), a common sign of WM vascular damage in the elderly, is closely related to slower psychomotor processing speed. In this study, we investigated the association between WMH and psychomotor speed changes through a comprehensive assessment of brain structural and functional features. Multi-modal MRIs were acquired from 60 elderly adults. Psychomotor processing speeds were assessed using the Trail Making Test Part A (TMT-A). Linear regression analyses were performed to assess the associations between TMT-A and brain features, including WMH volumes in five cerebral regions, diffusivity parameters in the major WM tracts, regional gray matter volume, and brain activities across the whole brain. Hierarchical regression analysis was used to demonstrate the contribution of each index to slower psychomotor processing speed. Linear regression analysis demonstrated that WMH volume in the occipital lobe and fractional anisotropy of the forceps major, an occipital association tract, were associated with TMT-A. Besides, resting-state brain activities in the visual cortex connected to the forceps major were associated with TMT-A. Hierarchical regression showed fractional anisotropy of the forceps major and regional brain activities were significant predictors of TMT-A. The occurrence of WMH, combined with the disruption of passing-through fiber integrity and altered functional activities in areas connected by this fiber, are associated with a decline of psychomotor processing speed. While the causal relationship of this WMH-Tract-Function-Behavior link requires further investigation, this study enhances our understanding of these complex mechanisms.

Indexed as

AgedAgingBrain MappingCerebral CortexFemaleHumansLeukoaraiosisMagnetic Resonance ImagingMaleMiddle AgedPsychomotor PerformanceRetrospective StudiesTrail Making Testcortexdiffusion tensor imagingfunctional magnetic resonance imagingprocessing speedtractographywhite matter hyperintensity

Identifiers

PMID31675160
PMCPMC7267958
OpenAlexW2984388427

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.