ArticleInternational journal of molecular sciences2015
Early and Degressive Putamen Atrophy in Multiple Sclerosis.
Article in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.
- Disrupted and reorganized connectivity of brain networks in multiple sclerosis: a systematic review and meta-analysis of resting-state functional MRI.Journal of neurology · 2026Pooled it
- Neurostructural and Neurophysiological Correlates of Multiple Sclerosis Physical Fatigue: Systematic Review and Meta-Analysis of Cross-Sectional Studies.Neuropsychology review · 2022Pooled it
- Pooled it
- Network-based disease fingerprinting with neuroinflammation PET imaging.Journal of neuroinflammation · 2026Article
- Sexual Dimorphisms in Neurodevelopment May Affect TBI Recovery in Pediatric Patients.Biomedicines · 2025Review
- Subcortical volume alterations indicate structural atrophy patterns over time in relapsing-remitting multiple sclerosis: a volBrain-based analysis.Irish journal of medical science · 2025Article
- Network-based disease fingerprinting with neuroinflammation PET imaging.Research square · 2025Article
- Brain Atrophy and Cognitive Impairment in Primary and Secondary Progressive Multiple Sclerosis Cohort-Similar Progressive MS Phenotype.International journal of molecular sciences · 2025Article
- Multi-organ imaging-derived polygenic indexes for brain and body health.medRxiv : the preprint server for health sciences · 2024Article
- Impaired lung function in multiple sclerosis: a single-center observational study in 371 persons.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023Observational
- Correlation of brain segmental volume changes with clinical parameters: a longitudinal study in multiple sclerosis patients.Arquivos de neuro-psiquiatria · 2023Article
- White matter tracts that overlap with the thalamus and the putamen are protected against multiple sclerosis pathology.Multiple sclerosis and related disorders · 2022Article
- Early prediction of putamen imaging features in HIV-associated neurocognitive impairment syndrome.BMC neurology · 2021Article
- Article
- Early putamen hypertrophy and ongoing hippocampus atrophy predict cognitive performance in the first ten years of relapsing-remitting multiple sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020Article
- Putamen gray matter volumes in neuropsychiatric and neurodegenerative disorders.World journal of psychiatry and mental health research · 2019Article
- Baseline biomarkers of connectome disruption and atrophy predict future processing speed in early multiple sclerosis.NeuroImage. Clinical · 2018Article
- Cortex Parcellation Associated Whole White Matter Parcellation in Individual Subjects.Frontiers in human neuroscience · 2017Article
- Putamen volume and its clinical and neurological correlates in primary HIV infection.AIDS (London, England) · 2016Article
- Brain MRI Volumetric Assessment of Patients With Multiple Sclerosis: The Volume of Basal Ganglia, Thalamus, and Posterior Fossa.Basic and clinical neuroscienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Putamen atrophy and its long-term progress during disease course were recently shown in patients with multiple sclerosis (MS). Here we investigated retrospectively the time point of atrophy onset in patients with relapsing-remitting MS (RRMS). 68 patients with RRMS and 26 healthy controls (HC) were admitted to 3T MRI in a cross-sectional study. We quantitatively analyzed the putamen volume of individual patients in relation to disease duration by correcting for age and intracranial volume (ICV). Patient's relative putamen volume (RPV), expressed in percent of ICV, was significantly reduced compared to HC. Based on the correlation between RPV and age, we computed the age-corrected RPV deviation (ΔRPV) from HC. Patients showed significantly negative ΔRPV. Interestingly, the age-corrected ΔRPV depended logarithmically on disease duration: Directly after first symptom manifestation, patients already showed a reduced RPV followed by a further degressive volumetric decline. This means that atrophy progression was stronger in the first than in later years of disease. Putamen atrophy starts directly after initial symptom manifestation or even years before, and progresses in a degressive manner. Due to its important role in neurological functions, early detection of putamen atrophy seems necessary. High-resolution structural MRI allows monitoring of disease course.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.