ArticleFrontiers in cellular neuroscience2019
Default Mode Network Structural Integrity and Cerebellar Connectivity Predict Information Processing Speed Deficit in Multiple Sclerosis.
Article in Frontiers in cellular neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Correlation of cognitive dysfunctions and diffusion tensor MRI measures in subjects with RRMS.Frontiers in aging neuroscience · 2025Pooled it
- Looking Beyond Dose: Identifying Responders and Non-Responders to RehaCom Computerized Cognitive Rehabilitation in Progressive MS-The CogEx Study.Neurorehabilitation and neural repair · 2026Trial
- Brain network alterations in autoimmune diseases: Current status and future prospects.iScience · 2026Review
- Structure-Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS.Annals of clinical and translational neurology · 2026Article
- Brain functional abnormalities: a bridge between insulin signaling pathway gene polymorphisms and clinical cognition in early-onset obsessive-compulsive disorder.European child & adolescent psychiatry · 2026Article
- HIV-Associated Microstructural Abnormalities in Default Mode, Executive Control, and Salience Networks: Insights from Tensor-Valued Diffusion Encoding.Bioengineering (Basel, Switzerland) · 2026Article
- The cerebellar cognitive affective syndrome scale in early multiple sclerosis.Journal of neurology · 2026Article
- Clinical and MRI substrates of Symbol Digit Modalities Test impairment in multiple sclerosis patients with an adult- and late-onset.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026Article
- Mild cognitive impairment impacts association of functional brain connectivity with cognition in older adults with and without multiple sclerosis.GeroScience · 2026Article
- Innovative biomarker exploration in ASD: Combining Graph Neural Networks and permutation testing on fMRI data.Neuroimage. Reports · 2025Article
- YAP/TAZ-associated cell signaling - at the crossroads of cancer and neurodevelopmental disorders.Frontiers in cell and developmental biology · 2025Review
- Advances in the fMRI analysis of the default mode network: a review.Brain structure & function · 2024Review
- Theta burst stimulation on the fronto-cerebellar connective network promotes cognitive processing speed in the simple cognitive task.Frontiers in human neuroscience · 2024Article
- Posterior cingulate cortex hyperactivity in conversion disorder: a PET/MRI study.Frontiers in psychiatry · 2024Article
- A multi-layer mean-field model of the cerebellum embedding microstructure and population-specific dynamics.PLoS computational biology · 2023Article
- Depressive symptoms, anxiety and cognitive impairment: emerging evidence in multiple sclerosis.Translational psychiatry · 2023Review
- Cerebellar connectome alterations and associated genetic signatures in multiple sclerosis and neuromyelitis optica spectrum disorder.Journal of translational medicine · 2023Article
- Neurochemical and functional reorganization of the cognitive-ear link underlies cognitive impairment in presbycusis.NeuroImage · 2023Article
- Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset.Frontiers in neuroinformatics · 2023Article
- APOE genotype moderates the relationship between LRP1 polymorphism and cognition across the Alzheimer's disease spectrum via disturbing default mode network.CNS neuroscience & therapeutics · 2021Article
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7 authors.
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Abstract
Cognitive impairment affects about 50% of multiple sclerosis (MS) patients, but the mechanisms underlying this remain unclear. The default mode network (DMN) has been linked with cognition, but in MS its role is still poorly understood. Moreover, within an extended DMN network including the cerebellum (CBL-DMN), the contribution of cortico-cerebellar connectivity to MS cognitive performance remains unexplored. The present study investigated associations of DMN and CBL-DMN structural connectivity with cognitive processing speed in MS, in both cognitively impaired (CIMS) and cognitively preserved (CPMS) MS patients. 68 MS patients and 22 healthy controls (HCs) completed a symbol digit modalities test (SDMT) and had 3T brain magnetic resonance imaging (MRI) scans that included a diffusion weighted imaging protocol. DMN and CBL-DMN tracts were reconstructed with probabilistic tractography. These networks (DMN and CBL-DMN) and the cortico-cerebellar tracts alone were modeled using a graph theoretical approach with fractional anisotropy (FA) as the weighting factor. Brain parenchymal fraction (BPF) was also calculated. In CIMS SDMT scores strongly correlated with the FA-weighted global efficiency (GE) of the network [GE(CBL-DMN): ρ = 0.87,
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