Evidence map›Paper›PMID 39228091›Full record

ArticleCNS neuroscience & therapeutics2024

Aberrant brain structural-functional connectivity coupling associated with cognitive dysfunction in different cerebral small vessel disease burdens.

Xinyue Zhang, Changhu Liang, Mengmeng Feng, Haotian Xin, Yajie Fu, Yian Gao, Chaofan Sui, Na Wang, Yuanyuan Wang, Nan Zhang and 2 more

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

12 authors.

Xinyue ZhangKey Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Department of Radiology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID 0000-0003-1643-608X
Changhu LiangKey Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Department of Radiology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID 0000-0003-3796-2978
Mengmeng FengDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-5349-2780
Haotian XinDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-8781-1815
Yajie FuShandong Medicine and Health Key Laboratory of Abdominal Medical Imaging, Department of Medical Ultrasound, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.ORCID 0000-0002-1195-5764
Yian GaoKey Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Department of Radiology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID 0000-0002-3444-3382
Chaofan SuiKey Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Department of Radiology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID 0000-0002-1049-3772
Na WangKey Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Department of Radiology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID 0000-0001-6191-4760
Yuanyuan WangSchool of Medical Imaging, Binzhou Medical University, Yantai, Shandong, China.ORCID 0000-0002-0641-8411
Nan ZhangKey Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Department of Radiology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID 0000-0002-6202-9349
Lingfei GuoKey Laboratory of Endocrine Glucose and Lipids Metabolism and Brain Aging, Department of Radiology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID 0000-0002-4885-625X
Hongwei WenKey Laboratory of Cognition and Personality (Ministry of Education), Faculty of Psychology, Southwest University, Chongqing, China.ORCID 0000-0003-1717-7235

Funding

Fundamental Research Funds for the Central Universities SWU118065National Natural Science Foundation of China 32100902National Natural Science Foundation of China 82272072Natural Science Foundation of Shandong Province ZR2020MH288Study Abroad Program by Shandong Province 201803059Technology Development Plan of Jinan 201907052Technology Development Plan of Jinan 202328066
6 · The paper itself

Abstract

aimsEmerging evidence suggests that cerebral small vessel disease (CSVD) pathology changes brain structural connectivity (SC) and functional connectivity (FC) networks. Although network-level SC and FC are closely coupled in the healthy population, how SC-FC coupling correlates with neurocognitive outcomes in patients with different CSVD burdens remains largely unknown.

methodsUsing multimodal MRI, we reconstructed whole-brain SC and FC networks for 54 patients with severe CSVD burden (CSVD-s), 106 patients with mild CSVD burden (CSVD-m), and 79 healthy controls. We then investigated the aberrant SC-FC coupling and functional network topology in CSVD and their correlations with cognitive dysfunction.

resultsCompared with controls, the CSVD-m patients showed no significant change in any SC-FC coupling, but the CSVD-s patients exhibited significantly decreased whole-brain (p = 0.014), auditory/motor (p = 0.033), and limbic modular (p = 0.011) SC-FC coupling. For functional network topology, despite no change in global efficiency, CSVD-s patients exhibited significantly reduced nodal efficiency of the bilateral amygdala (p = 0.024 and 0.035) and heschl gyrus (p = 0.001 and 0.005). Notably, for the CSVD-s patients, whole-brain SC-FC coupling showed a significantly positive correlation with MoCA (r = 0.327, p = 0.020) and SDMT (r = 0.373, p = 0.008) scores, limbic/subcortical modular SC-FC coupling showed a negative correlation (r = -0.316, p = 0.025) with SCWT score, and global/local efficiency (r = 0.367, p = 0.009 and r = 0.353, p = 0.012) showed a positive correlation with AVLT score. For the CSVD-m group, whole-brain and auditory/motor modular SC-FC couplings showed significantly positive correlations with SCWT (r = 0.217, p = 0.028 and r = 0.219, p = 0.027) and TMT (r = 0.324, p = 0.001 and r = 0.245, p = 0.013) scores, and global/local efficiency showed positive correlations with AVLT (r = 0.230, p = 0.020 and r = 0.248, p = 0.012) and SDMT (r = 0.263, p = 0.008 and r = 0.263, p = 0.007) scores.

conclusionOur findings demonstrated that decreased whole-brain and module-dependent SC-FC coupling associated with reduced functional efficiency might underlie more severe burden and worse cognitive decline in CSVD. SC-FC coupling might serve as a more sensitive neuroimaging biomarker of CSVD burden and provided new insights into the pathophysiologic mechanisms of clinical development of CSVD.

Indexed as

BrainCerebral Small Vessel DiseasesCognitive DysfunctionMagnetic Resonance ImagingAgedFemaleHumansMaleMiddle AgedNeural Pathwayscerebral small vessel disease burdencognitive dysfunctionfunctional efficiencystructural–functional connectivity coupling

Identifiers

PMID39228091
PMCPMC11371661

What Socratic holds

Textmetadata
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 Socratic graph.