ArticleHuman brain mapping2014
Brain networks disconnection in early multiple sclerosis cognitive deficits: an anatomofunctional study.
Article in Human brain mapping, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
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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.
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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.
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Who cites it
59 citing papers in PubMed.
- Employing Connectome-Based Models to Predict Working Memory in Multiple Sclerosis.Brain connectivity · 2022Trial
- Sensitivity and Specificity of a Revised Version of the TRACK-MS Screening Battery for Early Detection of Cognitive Impairment in Patients with Multiple Sclerosis.Biomedicines · 2025Article
- Conventional MRI-Based Structural Disconnection and Morphometric Similarity Networks and Their Clinical Correlates in Multiple Sclerosis.Neurology · 2025Article
- Cortical lesions impact cognitive decline in multiple sclerosis via volume loss of nonlesional cortex.Annals of clinical and translational neurology · 2025Article
- Natural sulfur compounds in mental health and neurological disorders: insights from observational and intervention studies.Frontiers in nutrition · 2025Review
- Cognitive impairment in multiple sclerosis: from phenomenology to neurobiological mechanisms.Journal of neural transmission (Vienna, Austria : 1996) · 2024Review
- Longitudinal fibre-specific white matter damage predicts cognitive decline in multiple sclerosis.Brain communications · 2024Article
- Synapse Dysfunctions in Multiple Sclerosis.International journal of molecular sciences · 2023Review
- Symptom Interconnectivity in Multiple Sclerosis: A Narrative Review of Potential Underlying Biological Disease Processes.Neurology and therapy · 2022Review
- Effective Connectivity within the Papez Circuit in the Multiple Sclerosis Patients: A Comparative Study Using Resting-State fMRI.Journal of biomedical physics & engineering · 2022Article
- Article
- Longitudinal Network Changes and Conversion to Cognitive Impairment in Multiple Sclerosis.Neurology · 2021Article
- Article
- Microstructural MRI Correlates of Cognitive Impairment in Multiple Sclerosis: The Role of Deep Gray Matter.Diagnostics (Basel, Switzerland) · 2021Article
- Subtyping relapsing-remitting multiple sclerosis using structural MRI.Journal of neurology · 2021Article
- Brain dysconnectivity relates to disability and cognitive impairment in multiple sclerosis.Human brain mapping · 2021Article
- Alterations in functional connectivity are associated with white matter lesions and information processing efficiency in multiple sclerosis.Brain imaging and behavior · 2021Article
- Structural and Functional Connectivity Substrates of Cognitive Impairment in Multiple Sclerosis.Frontiers in neurology · 2021Review
- Identifying Early Neuropsychological Indicators of Cognitive Involvement in Multiple Sclerosis.Neuropsychiatric disease and treatment · 2021Review
- Linking immune-mediated damage to neurodegeneration in multiple sclerosis: could network-based MRI help?Brain communications · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Severe cognitive impairment involving multiple cognitive domains can occur early during the course of multiple sclerosis (MS). We investigated resting state functional connectivity changes in large-scale brain networks and related structural damage underlying cognitive dysfunction in patients with early MS. Patients with relapsing MS (3-5 years disease duration) were prospectively assigned to two groups based on a standardized neuropsychological evaluation: (1) cognitively impaired group (CI group, n = 15), with abnormal performances in at least 3 tests; (2) cognitively preserved group (CP group, n = 20) with normal performances in all tests. Patients and age-matched healthy controls underwent a multimodal 3T magnetic resonance imaging (MRI) including anatomical T1 and T2 images, diffusion imaging and resting state functional MRI. Structural MRI analysis revealed that CI patients had a higher white matter lesion load compared to CP and a more severe atrophy in gray matter regions highly connected to networks involved in cognition. Functional connectivity measured by integration was increased in CP patients versus controls in attentional networks (ATT), while integration was decreased in CI patients compared to CP both in the default mode network (DMN) and ATT. An anatomofunctional study within the DMN revealed that functional connectivity was mostly altered between the medial prefrontal cortex (MPFC) and the posterior cingulate cortex (PCC) in CI patients compared to CP and controls. In a multilinear regression model, functional correlation between MPFC and PCC was best predicted by PCC atrophy. Disconnection in the DMN and ATT networks may deprive the brain of compensatory mechanisms required to face widespread structural damage.
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