Evidence map›Paper›PMID 38717572›Full record

ArticleBrain imaging and behavior2024

Structural network disruption of corticothalamic pathways in cerebral small vessel disease.

Xuejia Jia, Yingying Li, Xiuqin Jia, Qi Yang

Abstract read
In one paragraph

Article in Brain imaging and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
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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

4 authors.

Xuejia JiaDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
Yingying LiDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
Xiuqin JiaDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China. xqjia2014@163.com.
Qi YangDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China. yangyangqiqi@gmail.com.

Funding

Beijing Municipal Administration of Hospitals DFL20180602National Natural Science Foundation of China 62076169National Natural Science Foundation of China 81961128030
6 · The paper itself

Abstract

Generalized fractional anisotropy (GFA) can eliminate the crossing fiber effect, which may be more reflective of brain tissue changes in patients with cerebral small vessel disease (CSVD). This study aimed to explore the alterations of structural networks based on GFA and its relationship with cognitive performance in CSVD patients. We recruited 50 CSVD patients which were divided into two groups: cognitive impairment (CSVD-CI) and normal cognition (CSVD-NC), and 22 healthy controls (HCs). All participants underwent the Montreal Cognitive Assessment (MoCA) and MRI examinations. The structural topological properties were compared among the three groups. The correlation between these structural alterations and MoCA was analyzed. Compared with HCs, significantly decreased nodal efficiency and connectivity were detected in the corticothalamic pathways in both patient groups, of which some were significantly decreased in CSVD-CIs compared with CSVD-NCs. Moreover, both patient groups exhibited global network disruption including decreased global efficiency and increased characteristic path length compared with HCs. Furthermore, the nodal efficiency in the right pallidum positively correlated with MoCA in CSVD-NCs controlling for nuisance variables (r = 0.471, p = 0.031). The alterations in corticothalamic pathways indicated that the brain structural network underwent extensive disruption, providing evidence for the consideration of CSVD as a global brain disease.

Indexed as

Cerebral Small Vessel DiseasesCognitive DysfunctionMagnetic Resonance ImagingNeural PathwaysThalamusAgedAnisotropyBrainCerebral CortexDiffusion Tensor ImagingFemaleHumansMaleMental Status and Dementia TestsMiddle AgedNerve NetCerebral small vessel diseaseCognitionStructural network

Identifiers

PMID38717572
PMCPMC11582140

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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.