Late onset multiple sclerosis is associated with more severe ventricle expansion.

[1]  D. Ramasamy,et al.  Atrophied Brain T2 Lesion Volume at MRI Is Associated with Disability Progression and Conversion to Secondary Progressive Multiple Sclerosis. , 2019, Radiology.

[2]  M. Ramanathan,et al.  Epidemiology and treatment of multiple sclerosis in elderly populations , 2019, Nature Reviews Neurology.

[3]  D. Ramasamy,et al.  Aging and Brain Atrophy in Multiple Sclerosis , 2019, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[4]  D. Ramasamy,et al.  A Serial 10-Year Follow-Up Study of Atrophied Brain Lesion Volume and Disability Progression in Patients with Relapsing-Remitting MS , 2019, American Journal of Neuroradiology.

[5]  D. Ramasamy,et al.  Brain Atrophy Is Associated with Disability Progression in Patients with MS followed in a Clinical Routine , 2018, American Journal of Neuroradiology.

[6]  Moses Rodriguez,et al.  Age is a critical determinant in recovery from multiple sclerosis relapses , 2018, Multiple sclerosis.

[7]  M. Bove,et al.  Subclinical motor impairment assessed with an engineered glove correlates with magnetic resonance imaging tissue damage in radiologically isolated syndrome , 2018, European journal of neurology.

[8]  D. Ramasamy,et al.  Hypertension and heart disease are associated with development of brain atrophy in multiple sclerosis: a 5‐year longitudinal study , 2018, European journal of neurology.

[9]  E. D’Amico,et al.  Late‐onset and young‐onset relapsing‐remitting multiple sclerosis: evidence from a retrospective long‐term follow‐up study , 2018, European journal of neurology.

[10]  P. Benkert,et al.  Prodromal symptoms of multiple sclerosis in primary care , 2018, Annals of neurology.

[11]  D. Ramasamy,et al.  Atrophied Brain Lesion Volume: A New Imaging Biomarker in Multiple Sclerosis , 2018, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[12]  L. Thygesen,et al.  Incidence of MS has increased markedly over six decades in Denmark particularly with late onset and in women , 2018, Neurology.

[13]  O. Ciccarelli,et al.  Multiple sclerosis , 2018, The Lancet.

[14]  M. Dwyer,et al.  Establishing pathological cut-offs for lateral ventricular volume expansion rates , 2018, NeuroImage: Clinical.

[15]  M. Greenwood,et al.  Meta-analysis of the Age-Dependent Efficacy of Multiple Sclerosis Treatments , 2017, Front. Neurol..

[16]  Marc Debouverie,et al.  Older Age at Multiple Sclerosis Onset Is an Independent Factor of Poor Prognosis: A Population-Based Cohort Study , 2017, Neuroepidemiology.

[17]  D. Ramasamy,et al.  Neurological software tool for reliable atrophy measurement (NeuroSTREAM) of the lateral ventricles on clinical-quality T2-FLAIR MRI scans in multiple sclerosis , 2017, NeuroImage: Clinical.

[18]  S. Akhtar,et al.  Is Time to Reach EDSS 6.0 Faster in Patients with Late-Onset versus Young-Onset Multiple Sclerosis? , 2016, PloS one.

[19]  F. Barkhof,et al.  The 11-year long-term follow-up study from the randomized BENEFIT CIS trial , 2016, Neurology.

[20]  M. Filippi,et al.  Brain reserve against physical disability progression over 5 years in multiple sclerosis , 2016, Neurology.

[21]  R. Benedict,et al.  Clinical relevance of brain atrophy assessment in multiple sclerosis. Implications for its use in a clinical routine , 2016, Expert review of neurotherapeutics.

[22]  J. Hillert,et al.  A significant decrease in diagnosis of primary progressive multiple sclerosis: A cohort study , 2016, Multiple sclerosis.

[23]  A. Carpenter,et al.  Late onset multiple sclerosis: Is it really late onset? , 2014, Multiple sclerosis and related disorders.

[24]  M. Dwyer,et al.  Thalamic atrophy is associated with development of clinically definite multiple sclerosis. , 2013, Radiology.

[25]  Mark Jenkinson,et al.  The effect of hypointense white matter lesions on automated gray matter segmentation in multiple sclerosis , 2012, Human brain mapping.

[26]  Robert Zivadinov,et al.  Abnormal subcortical deep-gray matter susceptibility-weighted imaging filtered phase measurements in patients with multiple sclerosis A case-control study , 2012, NeuroImage.

[27]  M Daumer,et al.  Age and disability accumulation in multiple sclerosis , 2011, Neurology.

[28]  Jeffrey A. Cohen,et al.  Diagnostic criteria for multiple sclerosis: 2010 Revisions to the McDonald criteria , 2011, Annals of neurology.

[29]  O. Stüve,et al.  Multiple Sclerosis in the Elderly Patient , 2010, Drugs & aging.

[30]  Robert Zivadinov,et al.  Gray matter atrophy and disability progression in patients with early relapsing–remitting multiple sclerosis A 5-year longitudinal study , 2009, Journal of the Neurological Sciences.

[31]  Anders M. Dale,et al.  MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: Reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths , 2009, NeuroImage.

[32]  B. Kis,et al.  Clinical characteristics of patients with late-onset multiple sclerosis , 2008, Journal of Neurology.

[33]  H. Tremlett,et al.  Is late-onset multiple sclerosis associated with a worse outcome? , 2006, Neurology.

[34]  S. Reingold,et al.  Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria” , 2005, Annals of neurology.

[35]  G. Salemi,et al.  Multiple Sclerosis Severity Score: Using disability and disease duration to rate disease severity , 2005, Neurology.

[36]  Stephen M. Smith,et al.  Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis , 2002, NeuroImage.

[37]  Maria Liguori,et al.  Age‐related disability in multiple sclerosis , 2002, Annals of neurology.

[38]  J. Kurtzke.  Rating neurologic impairment in multiple sclerosis , 1983, Neurology.