Research hotspots and trends of multimodality MRI on vascular cognitive impairment in recent 12 years: A bibliometric analysis

Abstract

Background: Multimodality magnetic resonance imaging (MRI) is widely used to detect vascular cognitive impairment (VCI). However, a bibliometric analysis of this issue remains unknown. Therefore, this study aimed to explore the research hotspots and trends of multimodality MRI on VCI over the past 12 years based on the Web of Science core collection using CiteSpace Software (6.1R2). Methods: Literature related to multimodality MRI for VCI from 2010 to 2021 was identified and analyzed from the Web of Science core collection database. We analyzed the countries, institutions, authors, cited journals, references, keyword bursts, and clusters using CiteSpace. Results: In total, 587 peer-reviewed documents were retrieved, and the annual number of publications showed an exponential growth trend over the past 12 years. The most productive country was the USA, with 182 articles, followed by China with 134 papers. The top 3 active academic institutions were Capital Medical University, Radboud UNIV Nijmegen, and UNIV Toronto. The most productive journal was the Journal of Alzheimer’s Disease (33 articles). The most co-cited journal was Neurology, with the highest citations (492) and the highest intermediary centrality (0.14). The top-ranked publishing author was De Leeuw FE (17 articles) with the highest intermediary centrality of 0.04. Ward Law JM was the most cited author (123 citations) and Salat Dh was the most centrally cited author (0.24). The research hotspots of multimodal MRI for VCI include Alzheimer disease, vascular cognitive impairment, white matter intensity, cerebrovascular disease, dementia, mild cognitive impairment, neurovascular coupling, acute ischemic stroke, depression, and cerebral ischemic stroke. The main frontiers in the keywords are fMRI, vascular coupling, and cerebral ischemic stroke, and current research trends include impact, decline, and classification. Conclusions: The findings from this bibliometric study provide research hotspots and trends for multimodality MRI for VCI over the past 12 years, which may help researchers identify hotspots and explore cutting-edge trends in this field.

Structural and functional activities of brain in patients with vascular cognitive impairment: A case-controlled magnetic resonance imaging study

“…Many studies have reported extensive changes in the GMV in patients with VCI, covering the frontal and temporal cortices, pons, thalamus, caudate nucleus, and hippocampus. [ 19 , 20 ] He study [ 21 ] showed that GMV in multiple subregions of the hippocampus is generally reduced in patients with VCI, and there is a significant correlation between GMV changes in these brain regions and specific clinical scale scores. [ 21 ] Specific changes in brain structure in VCI have been discussed from the point of view of brain morphology.…”

Medical magnetic resonance imaging publications in Arab countries: A 25-year bibliometric analysis

“…In contrast, despite the large number of MRI publications from Arab countries, none appear among the list of the most productive or impactful countries in global bibliometric analyses of MRI research [ 65 , 66 ]. There are several recommendations for future researchers to enhance the productivity and impact of MRI research in Arab countries to reach the global figure.…”

Magnetic resonance imaging of white matter in Alzheimer's disease: a global bibliometric analysis from 1990 to 2022

“…MRI is an important tool and method in the study of recognition, and it is of great significance in the diagnosis of AD with the aid of MRI. Structural MRI can explore the underlying pathophysiology through histopathology (Reijmer and Van Veluw, 2016 ), and functional magnetic resonance imaging (fMRI) can be used to detect brain function in patients (Yang et al, 2015 ), multimodal MRI is widely used to detect vascular cognitive impairment (Xia et al, 2022 ). Rs-fMRI can detect leukoaraiosis and a wide range of brain dysfunction (Cheng et al, 2017 ).…”

“…A prospective study of highintensity MRI in WM and biomarkers such as neurofilament chain and glial fibrillary acidic protein revealed that serum GFAP is a promising fluid biomarker because it is associated not only with clinical severity but also with cognitive function (Huss et al, 2022). Ford et al (2022) found that blood-brain barrier dysfunction is a hallmark of aging and aging-related diseases, including small vessel disease of the brain and AD. A novel biomarker of blood-brain barrier dysfunction is the blood-brain barrier water exchange rate [k(W)], as measured by diffusionweighted arterial spin labeling (DW-ASL) MRI (Ford et al, 2022).…”