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Dive into the research topics where Michael G. Dwyer is active.

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Featured researches published by Michael G. Dwyer.


Neurology | 2008

Mechanisms of action of disease-modifying agents and brain volume changes in multiple sclerosis

Robert Zivadinov; Anthony T. Reder; Massimo Filippi; Alireza Minagar; Olaf Stüve; Hans Lassmann; Michael K. Racke; Michael G. Dwyer; Elliot M. Frohman; Omar Khan

Disease-modifying agents (DMAs), including interferon beta (IFNβ) and glatiramer acetate (GA), are the mainstays of long-term treatment of multiple sclerosis (MS). Other potent anti-inflammatory agents like natalizumab and different types of chemotherapeutics are increasingly being used for treatment of MS, particularly in patients with breakthrough disease activity. Brain volume (BV) loss occurs early in the disease process, accelerates over time, and may be only partially affected by DMA therapy. Low-dose, low frequency IFNβ administered once weekly and GA appear to partially reduce BV decline over the second and third years of treatment. High dose, high frequency IFNβ demonstrated no clear effect on BV loss during this time period. Current evidence suggests that changes in BV after immunoablation may not be due entirely to the resolution of edema but may be related to potential chemotoxicity of high dose cyclophosphamide. Natalizumab reduces the development of BV decline in the second and third years of treatment. IV immunoglobulin showed a positive effect on decelerating BV reduction in relapsing and advanced stages of MS. These differences between DMAs may be explained by the extent of their therapeutic effects on inflammation and on the balance between inhibition or promotion of remyelination and neuronal repair in the CNS. We described the mechanisms of action by which DMAs induce accelerated, non–tissue-related BV loss (pseudoatrophy) in the short term but, in the long run, may still potentially lead to permanent BV decline. The effects of corticosteroid therapy on changes in BV in patients with MS help clarify the mechanisms through which potent anti-inflammatory treatments may prevent, stabilize, or induce BV loss.


Neurology | 2011

Prevalence, sensitivity, and specificity of chronic cerebrospinal venous insufficiency in MS

Robert Zivadinov; Karen Marr; Gary Cutter; Murali Ramanathan; Rhb Benedict; Cheryl Kennedy; Makki Elfadil; A.E. Yeh; Justine Reuther; Christina Brooks; Kristin Hunt; Michelle Andrews; Ellen Carl; Michael G. Dwyer; David Hojnacki; B. Weinstock-Guttman

Background: Chronic cerebrospinal venous insufficiency (CCSVI) was recently described in patients with multiple sclerosis (MS). A subject is considered CCSVI positive if ≥2 venous hemodynamic (VH) criteria are fulfilled. Objective: To determine prevalence of CCSVI in a large cohort of patients with MS, clinically isolated syndrome (CIS), other neurologic diseases (OND), and healthy controls (HC), using specific proposed echo-color Doppler (ECD) criteria. Methods: Transcranial and extracranial ECD were carried out in 499 enrolled subjects (289 MS, 163 HC, 26 OND, 21 CIS). Prevalence rates for CCSVI were calculated in 3 ways: first, using only the subjects for whom diagnosis was certain (i.e., borderline subjects were excluded); secondly, including the borderline subjects in the “no CCSVI” group; and finally, taking into account subjects who presented any of the VH criteria. Results: CCSVI prevalence with borderline cases included in the “no CCSVI” group was 56.1% in MS, 42.3% in OND, 38.1% in CIS, and 22.7% in HC (p < 0.001). The CCSVI prevalence figures were 62.5% for MS, 45.8% for OND, 42.1% for CIS, and 25.5% for HC when borderline cases were excluded (p < 0.001). The prevalence of one or more positive VH criteria was the highest in MS (81.3%), followed by CIS (76.2%), OND (65.4%), and HC (55.2%) (p < 0.001). CCSVI prevalence was higher in patients with progressive than in nonprogressive MS (p = 0.004). Conclusions: Our findings are consistent with an increased prevalence of CCSVI in MS but with modest sensitivity/specificity. Our findings point against CCSVI having a primary causative role in the development of MS.


NeuroImage | 2012

Abnormal subcortical deep-gray matter susceptibility-weighted imaging filtered phase measurements in patients with multiple sclerosis: a case-control study.

Robert Zivadinov; Mari Heininen Brown; Claudiu Schirda; Guy Umberto Poloni; Niels Bergsland; Christopher Magnano; Jacqueline Durfee; Cheryl Kennedy; Ellen Carl; Jesper Hagemeier; Ralph H. B. Benedict; Bianca Weinstock-Guttman; Michael G. Dwyer

OBJECTIVE To investigate abnormal phase on susceptibility-weighted imaging (SWI)-filtered phase images indicative of iron content, in subcortical deep-gray matter (SDGM) of multiple sclerosis (MS) patients and healthy controls (HC), and to explore its relationship with MRI outcomes. METHODS 169 relapsing-remitting (RR) and 64 secondary-progressive (SP) MS patients, and 126 age- and sex-matched HC were imaged on a 3T scanner. Mean phase of the abnormal phase tissue (MP-APT), normal phase tissue volume (NPTV) and normalized volume were determined for total SDGM, caudate, putamen, globus pallidus, thalamus, pulvinar nucleus of thalamus (PVN), hippocampus, amygdala, nucleus accumbens, red nucleus and substantia nigra. 63 HC were used for establishment of normal reference phase values, while additional 63 HC were used for blinded comparisons with MS patients. RESULTS Increased MP-APT, decreased normalized volume and decreased NPTV were detected in total SDGM, caudate, putamen, globus pallidus, thalamus and PVN in MS patients compared to HC (p<.0004). MS patients also showed decreased volume in hippocampus (<.0001) and decreased NPTV in the hippocampus, amygdala and accumbens (<.0004). SPMS patients had increased MP-APT, decreased volume and decreased NPTV in total SDGM, caudate and amygdala compared to RRMS (p<.005), while individual measure differences were also detected in putamen, thalamus, hippocampus and accumbens (p<.006). RRMS patients showed a significant relationship between increased MP-APT and increased lesion burden and more advanced brain atrophy (p<.004). CONCLUSIONS Abnormal phase, indicative of higher iron content was significantly increased in MS patients compared to HC, and was related to more severe lesion burden and brain atrophy.


Journal of the Neurological Sciences | 2009

Extent of cerebellum, subcortical and cortical atrophy in patients with MS: A case-control study

Deepa P. Ramasamy; Ralph H. B. Benedict; Jennifer L. Cox; David Fritz; Nadir Abdelrahman; Sara Hussein; Alireza Minagar; Michael G. Dwyer; Robert Zivadinov

Cortical and subcortical atrophy occurs in multiple sclerosis (MS) and relates to clinical outcomes. FreeSurfer, a voxel-based automated software for brain reconstruction was used to investigate the extent of subcortical and cortical atrophy in 71 MS and 17 clinically isolated syndrome (CIS) patients, and 38 normal controls (NC), and to relate group differences to disease type and severity. Segmentation was performed on 3D SPGR T1-weighted MRI 1.5T images. Region-specific subcortical tissue volumes were calculated in mm(3) and cortical thickness in mm. Logistic regression and general linear model analyses, adjusted for age and intracranial volume, examined differences between NC, MS and CIS patients and disease subtypes. The MS group was characterized by significantly lower volumes of thalamus (left and right p<0.0001), left inferior lateral ventricle, third ventricle (p<0.0001), ventral diencephalon, pallidum and putamen bilaterally, as well as of right accumbens and brainstem with corresponding bilateral increase in volumes of lateral ventricles (p<0.01). Focal cortical atrophy areas in the thalamus, inferior parietal lobule of left hemisphere and in right precuneus were also significant in the MS sample. Versus CIS patients, RR or progressive MS patients showed significantly lower volumes of subcortical regions and cortical thinning. Hippocampal atrophy appeared only in advanced disease stages. Cerebellum WM volumes were significantly lower in MS and CIS patients vs. NC. Subcortical and cortical atrophy correlated with higher disability as measured by EDSS. This study confirmed selective deep gray matter atrophy (mostly thalamic), revealed cerebellum WM atrophy from the earliest clinical stages, and showed that cortical thinning advances with disease progression.


American Journal of Neuroradiology | 2012

Subcortical and Cortical Gray Matter Atrophy in a Large Sample of Patients with Clinically Isolated Syndrome and Early Relapsing-Remitting Multiple Sclerosis

Niels Bergsland; Dana Horakova; Michael G. Dwyer; Ondrej Dolezal; Z. Seidl; Manuela Vaneckova; Jan Krasensky; Eva Havrdova; Robert Zivadinov

Brain atrophy is commonly seen in patients with chronic MS. Here, the authors assessed 212 patients with clinically isolated syndrome and early RRMS for atrophy of gray matter. In both groups the cortex displayed no significant atrophy but the deep gray matter nuclei (caudate, thalamus, globus pallidus, putamen, and hippocampus) showed significant atrophy during the first 4 years of the disease. Deep gray matter atrophy may play a relevant role in patient symptoms and seems to appear and progress from the earliest stages of the disease. BACKGROUND AND PURPOSE: Recent studies have shown that selective regional, but not global, GM atrophy occurs from clinical onset to conversion to clinically definite MS. Our aim was to investigate the difference in the extent of SDGM and cortical atrophy in a large sample of patients with CIS and early RRMS and to explore the relationship between SDGM and cortical atrophy and other MR imaging and clinical outcomes. MATERIALS AND METHODS: Two hundred twelve patients with CIS recruited at the first clinical event (mean age, 29.3 years; median EDSS, 1.5; median disease duration, 3 months) and 177 patients with early RRMS (mean age, 30.7 years; median EDSS, 2.0; median disease duration, 47 months) were imaged on a 1.5T scanner by using a high-resolution 3D T1 spoiled gradient-recalled sequence. Volumetric data for SDGM structures were obtained by using FSL FIRST, while whole-brain, GM, white matter, cortical, and lateral ventricle volumes were estimated by using SIENAX software. Comparisons between the groups were adjusted for age and sex. RESULTS: Patients with early RRMS showed significantly lower SDGM but not cortical volumes compared with patients with CIS. The most apparent SDGM differences were evident in the caudate and thalamus (P < .0001), total SDGM (P = .0001), and globus pallidus (P = .01). Patients with CIS with a median T2 lesion volume >4.49 mL showed lower total SDGM, caudate, thalamus (P < .001), globus pallidus (P = .007), hippocampus (P = .004), and putamen (P = .01) volumes and higher lateral ventricle volume (P = .001) than those with a median T2 lesion volume <4.49 mL. Decreased thalamic volume showed the most consistent relationship with MR imaging outcomes (P < .0001) in patients with CIS. CONCLUSIONS: Significant SDGM, but not cortical, atrophy develops during the first 4 years of the RRMS. GM atrophy is relevant for disease progression from the earliest clinical stages.


NeuroImage | 2007

Independent contributions of cortical gray matter atrophy and ventricle enlargement for predicting neuropsychological impairment in multiple sclerosis

Ayda Tekok-Kilic; Ralph H. B. Benedict; Bianca Weinstock-Guttman; Michael G. Dwyer; Dominic A. Carone; Bhooma Srinivasaraghavan; Viritha Yella; Nadir Abdelrahman; Frederick Munschauer; Rohit Bakshi; Robert Zivadinov

The primary goal of this study was to investigate associations between regional gray matter (GM) atrophy and neuropsychological function in multiple sclerosis (MS), while accounting for the influence of central brain atrophy (i.e. third ventricle enlargement). Using a cross-sectional design, we studied 59 MS patients with brain MRI and neuropsychological testing. Regional gray matter fractions (rGMFs) were calculated from MRI images for 11 homologous brain areas using the semiautomatic brain region extraction (SABRE) technique. Neuropsychological testing followed consensus panel guidelines and included tests emphasizing episodic memory, working memory and processing speed. The analytic approach was stepwise linear regression, with forward selection and p<0.05 threshold for significance. Consistent with previous research, there were significant correlations between third ventricle width and neuropsychological tests. Stepwise linear regression analyses controlling for third ventricle width retained rGMFs obtained from specific regions within the prefrontal cortex. Left frontal atrophy was associated with tests emphasizing auditory/verbal memory. Right frontal atrophy was associated with impairment in visual episodic and working memory. For the first time, we show an independent relationship between cortical atrophy and cognitive impairment after accounting for the effects of central atrophy.


Journal of the Neurological Sciences | 2009

Relationship of optic nerve and brain conventional and non-conventional MRI measures and retinal nerve fiber layer thickness, as assessed by OCT and GDx: A pilot study

Elliot M. Frohman; Michael G. Dwyer; Teresa C. Frohman; Jennifer L. Cox; Amber Salter; Benjamin Greenberg; Sara Hussein; Amy Conger; Peter A. Calabresi; Laura J. Balcer; Robert Zivadinov

BACKGROUND Measurement of retinal nerve fiber layer (RNFL) thickness in multiple sclerosis (MS) is gaining increasing attention. OBJECTIVES To explore the relationship between RNFL thickness as measured by optical coherence tomography (OCT) and scanning laser polarimetry with variable corneal compensation (GDx), and conventional and non-conventional optic nerve and brain MRI measures. METHODS Twelve relapsing-remitting (RR) MS patients (12 affected and 12 unaffected eyes) and 4 age- and sex-matched normal controls (NC) (8 unaffected eyes) were enrolled. Four MS patients had a history of bilateral optic neuritis (ON), four had a history of unilateral ON, and 4 had no history of ON. Optic nerve MRI measurements included the length of T2 lesions, measurement of optic nerve atrophy, magnetization transfer ratio (MTR) and diffusion tensor imaging (DTI) measures. Optic nerve atrophy was measured by a novel method with high reproducibility. Brain MRI measurements included T1 and T2 lesion volumes (LVs) and their relative MTRs, and tissue class specific atrophy, MTR and DTI measures. Measures of RNFL were evaluated with OCT and GDx. We also evaluated both high and low contrast letter acuities (LCLA) in order to determine the relationship between vision, MRI metrics, and retinal structural architecture. RESULTS LCLA, RNFL-OCT and optic nerve radius measures showed more robust differences between NC and MS patients, and between MS patients with affected and unaffected eyes. T2-LV and T1-LV, as well as gray matter atrophy, DTI and MTR measures were related to LCLA and RNFL thickness. Unique additive variance regression models showed that both brain and optic nerve MRI measures independently accounted for about 50% of the variance in LCLA and RNFL thickness. In reverse models, about 20% of the additional independent variance was explained by optic nerve or brain MRI metrics. CONCLUSIONS Measurement of RNFL thickness and radius of the optic nerve should be preferred to the other optic nerve MRI measures in clinical studies. Whole brain lesion and GM measures are predictive of impaired visual function with corresponding structural concomitants.


Multiple Sclerosis Journal | 2007

Diffusion-weighted imaging predicts cognitive impairment in multiple sclerosis

Ralph H.B. Benedict; Jared M. Bruce; Michael G. Dwyer; Bianca Weinstock-Guttman; Chris Tjoa; Eleonora Tavazzi; Frederick Munschauer; Robert Zivadinov

Following a previous study with diffusion tensor imaging, we investigated the correlation between diffusion-weighted imaging (DWI) and cognitive dysfunction in multiple sclerosis (MS). We studied 60 MS patients (mean age 45.8±9.0 years) using 1.5-T MRI. Disease course was RR=40 and SP = 20. Mean disease duration was 12.8±8.7 years. Mean EDSS was 3.4±1.7. Whole brain, gray and white matter normalized volumes were calculated on 3D SPGR T1-WI using a fully automated Hybrid SIENAX method. Parenchymal mean diffusivity (PMD) maps were created after automated segmentation of the brain parenchyma and cerebrospinal fluid using T2-WI and DW images. Histogram analysis was performed and DWI indices of peak position (PP), peak height (PH), mean parenchymal diffusivity (MPD) and entropy were obtained. Neuropsychological (NP) evaluation emphasized auditory/verbal and visual/spatial memory, as well as processing speed and executive function. We found significant correlations between DWI and performance in all cognitive domains. Overall, stronger correlations emerged for MPD and entropy than other DWI measures, although all correlations were in the expected direction. The strongest association was between DWI entropy and performance on the Symbol Digit Modalities Test, which assesses processing speed and working memory (r = -0.54). Fisher r to z transformations revealed that DWI, gray matter (GMF) and whole brain (BPF) atrophy, T1-lesion volume (LV) and T2-LV all accounted for similar amounts of variance in NP testing. Stepwise regression models determined whether multiple MRI measures predicted unique additive variance in test performance. GMF (R2 = 0.35, F =30.82, P <0.01) and entropy (ΔR2 =0.06, ΔF=5.47, P <0.05) both accounted for unique variance in processing speed. Our data make a stronger case for the clinical validity of DWI in MS than heretofore reported. DWI has very short acquisition times, and the segmentation method applied in the present study is reliable and fully automated. Given its overall simplicity and moderate correlation with cognition, DWI may offer several logistic advantages over more traditional MRI measures when predicting the presence of NP impairment. Multiple Sclerosis 2007; 13: 722-730. http://msj.sagepub.com


Neurology | 2009

Smoking is associated with increased lesion volumes and brain atrophy in multiple sclerosis

Robert Zivadinov; Bianca Weinstock-Guttman; Komal Hashmi; Nadir Abdelrahman; Milena Stosic; Michael G. Dwyer; S Hussein; Jacqueline Durfee; Murali Ramanathan

Background: Cigarette smoking has been linked to higher susceptibility and increased risk of progressive multiple sclerosis (MS). The effects of smoking on MRI characteristics of patients with MS have not been evaluated. Objectives: To compare the MRI characteristics in cigarette smoker and nonsmoker patients with MS. Methods: We studied 368 consecutive patients with MS (age 44.0 ±SD 10.2 years, disease duration 12.1 ± 9.1 years) comprising 240 never-smokers and 128 (34.8%) ever-smokers (currently active and former smokers). The average number of packs per day smoked (±SD) was 0.95 ± 0.65, and the mean duration of smoking was 18.0 ± 9.5 years. All patients obtained full clinical and quantitative MRI evaluation. MRI measures included T1, T2, and gadolinium contrast-enhancing (CE) lesion volumes (LVs) and measures of central, global, and tissue-specific brain atrophy. The associations between smoking status and MRI measurements were assessed in regression analysis. Results: Smoking was associated with increased Expanded Disability Status Scale (EDSS) scores (p = 0.004). The median EDSS scores (interquartile range) in the ever-smoker group and the active-smoker group were both 3.0 (2.0), compared with 2.5 (2.5) in never-smokers. There were adverse associations between smoking and the lesion measures including increased number of CE lesions (p < 0.001), T2 LV (p = 0.009), and T1 LV (p = 0.003). Smoking was associated with decreased brain parenchymal fraction (p = 0.047) and with increases in the lateral ventricle volume (p = 0.001) and third ventricle width (p = 0.023). Conclusions: Smoking is associated with increased blood–brain barrier disruption, higher lesion volumes, and greater atrophy in multiple sclerosis.


Radiology | 2013

Thalamic Atrophy Is Associated with Development of Clinically Definite Multiple Sclerosis

Robert Zivadinov; Eva Havrdova; Niels Bergsland; Michaela Tyblova; Jesper Hagemeier; Zdenek Seidl; Michael G. Dwyer; Manuela Vaneckova; Jan Krasensky; Ellen Carl; Tomas Kalincik; Dana Horakova

PURPOSE To investigate the association between the development of thalamic and cortical atrophy and the conversion to clinically definite multiple sclerosis (CDMS) in patients with clinically isolated syndrome (CIS). MATERIALS AND METHODS This prospective study was approved by the institutional review board. Informed consent was given by 216 CIS patients, and patients were treated with 30 µg of intramuscular interferon β1a once a week. They were assessed with a magnetic resonance (MR) imaging examination at baseline, 6 months, 1 year, and 2 years. Patients were evaluated within 4 months of an initial demyelinating event, had two or more brain lesions on MR images, and had two or more oligoclonal bands in cerebrospinal fluid. MR imaging measures of progression included cumulative number and volume of contrast agent-enhanced (CE) new and enlarged T2 lesions, and changes in whole-brain, tissue-specific global, and regional gray matter volumes. Regression and mixed-effect model analyses were used. RESULTS Over 2 years, 92 of 216 patients (42.6%) converted to CDMS; 122 (56.5%) CIS patients fulfilled McDonald 2005 criteria and 153 (70.8%) fulfilled McDonald 2010 criteria for MR imaging dissemination in time and space. The mean time to first relapse was 3.1 months, and mean annual relapse rate was 0.46. In mixed-effect model analysis, the lateral ventricle volume (P = .005), accumulation of CE (P = .007), new total T2 (P = .009) and new enlarging T2 lesions (P = .01) increase, and thalamic (P = .009) and whole-brain (P = .019) volume decrease were associated with development of CDMS. In multivariate regression analysis, decrease in thalamic volumes and increase in lateral ventricle volumes (P = .009) were MR imaging variables associated with the development of CDMS. CONCLUSION Measurement of thalamic atrophy and increase in ventricular size in CIS is associated with CDMS development and should be used in addition to the assessment of new T2 and CE lesions.

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Robert Zivadinov

State University of New York System

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Niels Bergsland

State University of New York System

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Bianca Weinstock-Guttman

State University of New York System

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Jesper Hagemeier

State University of New York System

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Ellen Carl

State University of New York System

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Deepa P. Ramasamy

State University of New York System

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Ralph H. B. Benedict

State University of New York System

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David Hojnacki

State University of New York System

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Eva Havrdova

Charles University in Prague

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