Evidence map›Paper›PMID 38923330›Full record

ArticleBrain and behavior2024

Multiparameter neuroimaging study of neurovascular coupling changes in patients with end-stage renal disease.

Wei Sun, Chen Li, Zhuqing Jiao, Tongqiang Liu, Haifeng Shi

Abstract read
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Article in Brain and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wei SunDepartment of Radiology, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou Second People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.
Chen LiGraduate College, Dalian Medical University, Dalian, China.
Zhuqing JiaoSchool of Computer Science and Artificial Intelligence, Changzhou University, Changzhou, Jiangsu, China.
Tongqiang LiuDepartment of Nephrology, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou Second People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.
Haifeng ShiDepartment of Radiology, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou Second People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.ORCID 0009-0006-3156-9330

Funding

Changzhou Sci&Tech Program CE20235062Clinical Research Project of Changzhou Medical Center of Nanjing Medical University CMCC202306Top Talent of Changzhou "The 14th Five-Year Plan" High-Level Health Talents Training Project 2022CZBJ072
6 · The paper itself

Abstract

purposeTo assess changes in neurovascular coupling (NVC) by evaluating the relationship between cerebral perfusion and brain connectivity in patients with end-stage renal disease (ESRD) undergoing hemodialysis versus in healthy control participants. And by exploring brain regions with abnormal NVC associated with cognitive deficits in patients, we aim to provide new insights into potential preventive and therapeutic interventions. MATERIALS AND

methodsA total of 45 patients and 40 matched healthy controls were prospectively enrolled in our study. Montreal Cognitive Assessment (MoCA) was used to assess cognitive function. Arterial spin labeling (ASL) was used to calculate cerebral blood flow (CBF), and graph theory-based analysis of results from resting-state functional magnetic resonance imaging (rs-fMRI) was used to calculate brain network topological parameters (node betweenness centrality [BC], node efficiency [Ne], and node degree centrality [DC]). Three NVC biomarkers (CBF-BC, CBF-Ne, and CBF-DC coefficients) at the whole brain level and 3 NVC biomarkers (CBF/BC, CBF/Ne, and CBF/DC ratios) at the local brain region level were used to assess NVC. Mann-Whitney U tests were used to compare the intergroup differences in NVC parameters. Spearman's correlation analysis was used to evaluate the relationship among NVC dysfunctional pattern, cognitive impairment, and clinical characteristics multiple comparisons were corrected using a voxel-wise false-discovery rate (FDR) method (p < .05).

resultsPatients showed significantly reduced global coupling coefficients for CBF-Ne (p = .023) and CBF-BC (p = .035) compared to healthy controls. Coupling ratios at the local brain region level were significantly higher in patients in 33 brain regions (all p values < .05). Coupling ratio changes alone or accompanied by changes in CBF, node properties, or both CBF and node properties were identified. In patients, negative correlations were seen between coupling ratios and MoCA scores in many brain regions, including the left dorsolateral superior frontal gyrus, the bilateral median cingulate and paracingulate gyri, and the right superior parietal gyrus. The correlations remained even after adjusting for hemoglobin and hematocrit levels.

conclusionDisrupted NVC may be one mechanism underlying cognitive impairment in dialysis patients.

Indexed as

BrainCognitive DysfunctionKidney Failure, ChronicMagnetic Resonance ImagingNeurovascular CouplingAdultAgedCerebrovascular CirculationFemaleHumansMaleMental Status and Dementia TestsMiddle AgedNerve NetNeuroimagingProspective Studiesarterial spin labelingcognitive impairmentend‐stage renal diseasefunctional magnetic resonance imagingneurovascular coupling

Identifiers

PMID38923330
PMCPMC11196241

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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.