ArticleHuman brain mapping2023
Subsystem mechanisms of default mode network underlying white matter hyperintensity-related cognitive impairment.
Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- The role of the subcortical structures in subthreshold depression: evidence from static and dynamic functional connectivity.Brain structure & function · 2026Article
- The impact of radiation-induced temporal lobe injury on cognition and structure across the whole brain in nasopharyngeal carcinoma patients.IBRO neuroscience reports · 2026Article
- Altered static and dynamic functional network connectivity between subcortical nuclei and cortical regions of the default mode network in type 2 diabetes mellitus.Frontiers in neuroscience · 2026Article
- The Effect of APOE ε4 Allele on Dynamic Local Spontaneous Brain Activity and Functional Integration in Alzheimer's Disease.Human brain mapping · 2025Article
- Beyond Focal Lesions: Dynamical Network Effects of White Matter Hyperintensities.Human brain mapping · 2024Article
- Connectome gradient dysfunction contributes to white matter hyperintensity-related cognitive decline.CNS neuroscience & therapeutics · 2024Article
- Specialized gray matter segmentation via a generative adversarial network: application on brain white matter hyperintensities classification.Frontiers in neuroscience · 2024Article
- Dynamic functional network connectivity in patients with a mismatch between white matter hyperintensity and cognitive function.Frontiers in aging neuroscience · 2024Article
- Subsystem mechanisms of default mode network underlying white matter hyperintensity-related cognitive impairment.Human brain mapping · 2023Article
- Neuroimaging signatures and a deep learning modeling for early diagnosing and predicting non-pharmacological therapy success for subclinical depression comorbid sleep disorders in college students.International journal of clinical and health psychology : IJCHPArticle
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12 authors.
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Abstract
Functional changes of default mode network (DMN) have been proven to be closely associated with white matter hyperintensity (WMH) related cognitive impairment (CI). However, subsystem mechanisms of DMN underlying WMH-related CI remain unclear. The present study recruited WMH patients (n = 206) with mild CI and normal cognition, as well as healthy controls (HC, n = 102). Static/dynamic functional connectivity (FC) of the DMN's three subsystems were calculated using resting-state functional MRI. K-means clustering analyses were performed to extract distinct dynamic connectivity states. Compared with the WMH-NC group, the WMH-MCI group displayed lower static FC within medial temporal lobe (MTL) and core subsystem, between core-MTL subsystem, as well as between core and dorsal medial prefrontal cortex subsystem. All these static alterations were positively associated with information processing speed (IPS). Regarding dynamic FC, the WMH-MCI group exhibited higher dynamic FC within MTL subsystem than the HC and WMH-NC groups. Altered dynamic FC within MTL subsystem mediated the relationship between WMH and memory span (indirect effect: -0.2251, 95% confidence interval [-0.6295, -0.0267]). Additionally, dynamic FCs of DMN subsystems could be clustered into two recurring states. For dynamic FCs within MTL subsystem, WMH-MCI subjects exhibited longer mean dwell time (MDT) and higher reoccurrence fraction (RF) in a sparsely connected state (State 2). Altered MDT and RF in State 2 were negatively associated with IPS. Taken together, these findings indicated static/dynamic FC of DMN subsystems can provide relevant information on cognitive decline from different aspects, which provides a comprehensive view of subsystem mechanisms of DMN underlying WMH-related CI.
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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.