Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Sridar Narayanan is active.

Publication


Featured researches published by Sridar Narayanan.


Lancet Neurology | 2011

Clinical, environmental, and genetic determinants of multiple sclerosis in children with acute demyelination: a prospective national cohort study

Brenda Banwell; Amit Bar-Or; Douglas L. Arnold; Dessa Sadovnick; Sridar Narayanan; Melissa McGowan; Julia O'Mahony; Sandra Magalhaes; Heather Hanwell; Reinhold Vieth; Raymond Tellier; Thierry Vincent; Giulio Disanto; George C. Ebers; Katherine Wambera; Mary B. Connolly; Jerome Y. Yager; Jean K. Mah; Fran Booth; Guillaume Sébire; David J.A. Callen; Brandon Meaney; Marie-Emmanuelle Dilenge; Anne Lortie; Daniela Pohl; Asif Doja; Sunita Venketaswaran; Simon Levin; E. Athen MacDonald; David Meek

BACKGROUND HLA-DRB1*15 genotype, previous infection with Epstein-Barr virus, and vitamin D insufficiency are susceptibility factors for multiple sclerosis, but whether they act synergistically to increase risk is unknown. We aimed to assess the contributions of these risk factors and the effect of established precursors of multiple sclerosis, such as brain lesions on MRI and oligoclonal bands in CSF at the time of incident demyelination, on development of multiple sclerosis in children. METHODS In our prospective national cohort study, we assessed children who presented with incident CNS demyelination to any of the 16 paediatric health-care facilities or seven regional health-care facilities in Canada. We did univariate and multivariable analyses to assess contributions of HLA-DRB1*15, Epstein-Barr virus, vitamin D status, MRI evidence of brain lesions, and CSF oligoclonal bands as determinants of multiple sclerosis. We used classification and regression tree analyses to generate a risk stratification algorithm for clinical use. FINDINGS Between Sept 1, 2004, and June 30, 2010, we screened 332 children of whom 302 (91%) were eligible and followed-up for a median of 3·14 years (IQR 1·61-4·51). 63 (21%) children were diagnosed with multiple sclerosis after a median of 127 days (99-222). Although the risk of multiple sclerosis was increased with presence of one or more HLA-DRB1*15 alleles (hazard ratio [HR] 2·32, 95% CI 1·25-4·30), reduced serum 25-hydroxyvitamin D concentration (HR per 10 nmol/L decrease 1·11, 1·00-1·25), and previous Epstein-Barr-virus infection (HR 2·04, 0·99-4·20), no interactions between these variables were detected on multivariate analysis. Multiple sclerosis was strongly associated with baseline MRI evidence of one or more brain lesion (HR 37·9, 5·26-273·85) or CSF oligoclonal bands (6·33, 3·35-11·96), suggesting established disease. One patient diagnosed with multiple sclerosis had a normal MRI scan, and therefore sensitivity of an abnormal MRI scan for multiple sclerosis diagnosis was 98·4%. INTERPRETATION Risk of multiple sclerosis in children can be stratified by presence of HLA-DRB1*15 alleles, remote Epstein-Barr virus infection, and low serum 25-hydroxyvitamin D concentrations. Similar to previous studies in adults, brain lesions detected on MRI and CSF oligoclonal bands in children are probable precursors to the clinical onset of multiple sclerosis. Children with a normal MRI are very likely to have a monophasic illness. FUNDING Canadian Multiple Sclerosis Scientific Research Foundation.


Neurology | 2000

Relating axonal injury to functional recovery in MS

H. Reddy; Sridar Narayanan; Paul M. Matthews; Richard D. Hoge; Pike Gb; P. Duquette; Jack P. Antel; D.L. Arnold

Article abstract A patient was followed after the new onset of hemiparesis from relapse of MS with serial MR spectroscopy and functional MRI. The association of clinical improvement with recovery of N-acetylaspartate, a marker of neuronal integrity, and progressive reduction of abnormally large functional MRI cortical activation with movement demonstrates that dynamic reorganization of the motor cortex accompanies remission of MS.


Journal of Neurology | 2001

Axonal metabolic recovery in multiple sclerosis patients treated with interferon β-1b

Sridar Narayanan; Nicola De Stefano; Gordon S. Francis; Rozie Arnaoutelis; Zografos Caramanos; D. Louis Collins; Daniel Pelletier; Barry G. W. Arnason; Jack P. Antel; Douglas L. Arnold

Abstract Patients with multiple sclerosis (MS) can benefit from treatment with interferon β–1b. However, the mechanisms of action of this drug are incompletely understood and effects of interferon β–1b on axonal injury are not known. A measure of axonal injury can be obtained in vivo using magnetic resonance spectroscopy to quantify the resonance intensity of the neuronal marker, N-acetylaspartate (NAA). In a small pilot study, we performed combined magnetic resonance imaging and magnetic resonance spectroscopic imaging on 10 patients with relapsing-remitting MS before and 1 year after starting treatment with subcutaneous interferon β–1b. Resonance intensities of NAA relative to creatine (Cr) were measured in a large, central brain volume. These measurements were compared with those made in a group of 6 untreated patients selected to have a similar range of scores on the Expanded Disability Status Scale and mean NAA/Cr at baseline. NAA/Cr in the treated group [2.74 (0.16), mean (SD)] showed an increase of 5.5 % 12 months after the start of therapy [2.89 (0.24), p = 0.05], while NAA/Cr in the untreated group decreased, but not significantly [2.76 (0.1) at baseline, 2.65 (0.14) at 12 months, p > 0.1]. NAA/Cr had become significantly higher in the treated group at 12 months than in the untreated group (p = 0.03). Our data suggest that, in addition to losing axons, patients with chronic multiple sclerosis suffer from chronic, sublethal axonal injury that is at least partially reversible with interferon β–1b therapy.


NeuroImage | 2004

Relating neocortical pathology to disability progression in multiple sclerosis using MRI.

Jacqueline T. Chen; Sridar Narayanan; D.L. Collins; Stephen M. Smith; Paul M. Matthews; D.L. Arnold

Cortical grey matter (cGM) develops a substantial burden of pathology in multiple sclerosis (MS). Previous cross-sectional studies have suggested a relationship between measures of cortical atrophy and disability. Our objective was to develop a method for automatically measuring the apparent cGM thickness as well as the integrity of the interface between cGM and subcortical white matter (GM/WM) both globally and regionally on T(1)-weighted MRI, and use this method in a longitudinal investigation of how these measures differed between patients with stable MS and patients with progressing disability. Measurements were made over the whole brain and for anatomically specified cortical regions, both cross-sectionally at baseline and longitudinally on two MRI scans performed on average 1 year apart. We found a higher average rate of apparent loss of cGM thickness across the whole brain in the group that progressed over the interscan interval compared to the group that remained stable (progressing = -3.13 +/- 2.88%/year, stable = 0.06 +/- 2.31%/year, P = 0.002). This difference was detected with regional measures in parietal and precentral cortex. In contrast, change in the GM/WM interface integrity did not show detectable regional differences, although the group of MS patients whose disability progressed showed a significant decrease in GM/WM interface integrity compared to the stable group (P = 0.003). Regional measures of apparent loss of cGM thickness enhance sensitivity to cortical pathological changes. A measure of integrity offers a new index of disease-associated cortical changes at the GM/WM interface. The results suggest that progression of disability in MS is associated with the progression of MRI-detectable cortical pathology.


Medical Image Analysis | 2013

Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging

Daniel García-Lorenzo; Simon J. Francis; Sridar Narayanan; Douglas L. Arnold; D. Louis Collins

Magnetic resonance (MR) imaging is often used to characterize and quantify multiple sclerosis (MS) lesions in the brain and spinal cord. The number and volume of lesions have been used to evaluate MS disease burden, to track the progression of the disease and to evaluate the effect of new pharmaceuticals in clinical trials. Accurate identification of MS lesions in MR images is extremely difficult due to variability in lesion location, size and shape in addition to anatomical variability between subjects. Since manual segmentation requires expert knowledge, is time consuming and is subject to intra- and inter-expert variability, many methods have been proposed to automatically segment lesions. The objective of this study was to carry out a systematic review of the literature to evaluate the state of the art in automated multiple sclerosis lesion segmentation. From 1240 hits found initially with PubMed and Google scholar, our selection criteria identified 80 papers that described an automatic lesion segmentation procedure applied to MS. Only 47 of these included quantitative validation with at least one realistic image. In this paper, we describe the complexity of lesion segmentation, classify the automatic MS lesion segmentation methods found, and review the validation methods applied in each of the papers reviewed. Although many segmentation solutions have been proposed, including some with promising results using MRI data obtained on small groups of patients, no single method is widely employed due to performance issues related to the high variability of MS lesion appearance and differences in image acquisition. The challenge remains to provide segmentation techniques that work in all cases regardless of the type of MS, duration of the disease, or MRI protocol, and this within a comprehensive, standardized validation framework. MS lesion segmentation remains an open problem.


Journal of Neurology | 2002

Choline is increased in pre-lesional normal appearing white matter in multiple sclerosis.

M. C. Tartaglia; Sridar Narayanan; N. De Stefano; Rozie Arnaoutelis; Samson B. Antel; Simon J. Francis; A. C. Santos; Yves Lapierre; Douglas L. Arnold

Abstract.Objective: Our aim was to determine if the resonance intensity of choline-containing compounds (Cho) measured using proton magnetic resonance spectroscopy (MRS) was increased in pre-lesional normal appearing white matter (NAWM) in patients with multiple sclerosis (MS) relative to NAWM that remained stable in subsequent scans. Background: The Cho peak in MR spectra is associated with membrane phospholipids and increases in acute MS plaques, possibly even before the appearance of MRI-visible MS lesions. Methods: Three combined proton MRI and MRS imaging examinations of the corpus callosum and adjacent periventricular white matter were performed on 12 MS patients at intervals of 6 months. Proton density (PD) images were visually matched across 3 time points and the lesion volume in each voxel of the volume of interest was determined. The voxels were subdivided into four groups based on the presence or absence of lesion at baseline and change or no change in lesion volume on the subsequent scan. Results: We found a significantly higher baseline Cho/Creatine (Cr) ratio in NAWM voxels that displayed MRI visible lesions 6 months later than NAWM voxels that remained unchanged (1.57 ± 0.30 and 1.37 ± 0.33, respectively, p < 0.001). The 12-month interval data revealed similar pre-lesional elevated Cho/Cr, (1.51 ± 0.29 versus 1.39 ± 0.32, p = 0.009). Voxels that contained lesion at baseline and increased in lesion volume at 6 months also showed a significantly higher Cho/Cr ratio than those whose lesion volume did not change (1.60 ± 0.32 and 1.49 ± 0.36, respectively, p = 0.043). Conclusions: The results of this study are consistent with focal pre-lesional myelin membrane pathology in the NAWM at least 12 months before lesions become visible on conventional MRI. This could reflect altered myelin chemistry or the presence of inflammation as seen in experimental allergic encephalomyelitis.


Lancet Neurology | 2011

MRI parameters for prediction of multiple sclerosis diagnosis in children with acute CNS demyelination: a prospective national cohort study

Leonard H. Verhey; Helen M. Branson; Manohar Shroff; David J.A. Callen; John G. Sled; Sridar Narayanan; A. Dessa Sadovnick; Amit Bar-Or; Douglas L. Arnold; Ruth Ann Marrie; Brenda Banwell

BACKGROUND Multiple sclerosis (MS) diagnostic criteria incorporate MRI features that can be used to predict later diagnosis of MS in adults with acute CNS demyelination. To identify MRI predictors of a subsequent MS diagnosis in a paediatric population, we created a standardised scoring method and applied it to MRI scans from a national prospective incidence cohort of children with CNS demyelination. METHODS Clinical and MRI examinations were done at the onset of acute CNS demyelination and every 3 months in the first year after that, and at the time of a second demyelinating attack. MS was diagnosed on the basis of clinical or MRI evidence of relapsing disease. Baseline MRI scans were assessed for the presence of 14 binary response parameters. Parameters were assessed with a multiple tetrachoric correlation matrix. Univariate analyses and multivariable Cox proportional hazards models were used to identify predictors of MS. FINDINGS Between Sept 1, 2004, and June 30, 2010, 332 children and adolescents were assessed for eligibility. 1139 scans were available from 284 eligible participants who had been followed up for 3·9 (SD 1·7) years. 57 (20%) were diagnosed with MS after a median of 188 (IQR 144-337) days. Seven of 14 binary response parameters were retained. The presence of either one or more T1-weighted hypointense lesions (hazard ratio 20·6, 95% CI 5·46-78·0) or one or more periventricular lesions (3·34, 1·27-8·83) was associated with an increased likelihood of MS diagnosis (sensitivity 84%, specificity 93%, positive predictive value 76%, negative predictive value 96%). Risk for MS diagnosis was highest when both parameters were present (34·27, 16·69-70·38). Although the presence of contrast enhancement, cerebral white matter, intracallosal, and brainstem lesions was associated with MS in the univariate analyses, these parameters were not retained in the multivariable models. INTERPRETATION Specific MRI parameters can be used to predict diagnosis of MS in children with incident demyelination of the CNS. The ability to promptly identify children with MS will enhance timely access to care and will be important for future clinical trials in paediatric MS. FUNDING Canadian Multiple Sclerosis Scientific Research Foundation.


Neuropsychology (journal) | 2011

MRI correlates of cognitive impairment in childhood-onset multiple sclerosis.

Christine Till; Rezwan Ghassemi; Berengere Aubert-Broche; A. Kerbrat; D.L. Collins; Sridar Narayanan; D.L. Arnold; M. Desrocher; John G. Sled; Brenda Banwell

OBJECTIVE Brain MRI measures were correlated with neuropsychological function in 35 pediatric-onset multiple sclerosis (MS) patients and 33 age- and sex-matched healthy controls. METHOD Mean age of MS patients was 16.3 ± 2.3 years with average disease duration of 4.3 ± 3.1 years. Cortical gray matter, thalamic, and global brain volumes were calculated for all participants using a scaling factor computed using normalization of atrophy method to normalize total and regional brain volumes for head size. T1- and T2-weighted lesion volumes were calculated for MS patients. RESULTS Cognitive impairment (CI) was identified in 29% of the MS cohort. Cognitive deficits predominantly involved attention and processing speed, expressive language, and visuomotor integration. Relative to controls, the MS group showed significantly lower thalamic volume (p < .001), total brain volume (p < .008), and gray matter volume (p < .015). Corpus callosum area and thalamic volume differentiated patients identified as having CI from those without CI (p < .05). Regression models controlling for disease duration and age indicated that thalamic volume accounted for significant incremental variance in predicting global IQ, processing speed, and expressive vocabulary (ΔR2 ranging from .43 to .60) and was the most robust MRI predictor of cognition relative to other MRI metrics. CONCLUSIONS The robust association between cognitive function and reduced size of thalamus and global brain volume in pediatric-onset MS patients implicate neurodegenerative processes early in the disease course, and suggest that plasticity of an immature central nervous system is not sufficient to protect patients from the deleterious consequences of MS on cognitive neural networks. (PsycINFO Database Record (c) 2011 APA, all rights reserved).


Journal of Neurology | 2002

Magnetization transfer can predict clinical evolution in patients with multiple sclerosis

A. Carlos Santos; Sridar Narayanan; Nicola De Stefano; M. Carmela Tartaglia; Simon J. Francis; Rozie Arnaoutelis; Zografos Caramanos; Jack P. Antel; G. Bruce Pike; Douglas L. Arnold

Abstract. The clinical course of multiple sclerosis (MS) is highly variable ranging from benign to aggressive, and is difficult to predict. Since magnetization transfer (MT) imaging can detect focal abnormalities in normal-appearing white matter (NAWM) before the appearance of lesions on conventional MRI, we hypothesized that changes in MT might be able to predict the clinical evolution of MS. We assessed MR data from MS patients who were subsequently followed clinically for 5 years. We computed the mean MT ratio (MTr) in gray matter, in lesions identified on T2-weighted MRI, and in NAWM, as well as in a thick central brain slice for each patient. Patients were divided into stable and worsening groups according to their change in Expanded Disability Status Scale (EDSS) scores over 5 years. We calculated the sensitivity, specificity, predictive value, and odds ratio of the baseline MTr measures in order to assess their prognostic utility. We found significant differences in baseline MTr values in NAWM (p = 0.005) and brain slice (p = 0.03) between clinically stable and worsening MS patients. When these MTr values were compared with changes in EDSS over 5 years, a strong correlation was found between the EDSS changes and MTr values in both NAWM (SRCC = −0.76, p < 0.001) and in the brain slice (SRCC = 0.59, p = 0.01). Baseline NAWM MTr correctly predicted clinical evolution in 15/18 patients (1 false positive and 2 false negatives), yielding a positive predictive value of 77.78 %, a negative predictive value of 88.89 %, and an odds ratio of 28. The relationship between 5-year changes in EDSS and MTr values in T2 weighted MRI lesions was weaker (SRCC = −0.43, p = 0.07). Our data support the notion that the quantification of MTr in the NAWM can predict the clinical evolution of MS. Lower MTr values predict poorer long-term clinical outcome. Abnormalities of MTr values in the NAWM are more relevant to the development of future patient disability than those in the T2-weighted MRI lesions.


Annals of Neurology | 2012

2010 McDonald criteria for diagnosing pediatric multiple sclerosis

Yair Sadaka; Leonard H. Verhey; Manohar Shroff; Helen M. Branson; Douglas L. Arnold; Sridar Narayanan; John G. Sled; Amit Bar-Or; A. Dessa Sadovnick; Melissa McGowan; Ruth Ann Marrie; Brenda Banwell

The diagnosis of multiple sclerosis (MS) rests on confirmation of central nervous system inflammatory disease that is disseminated in space and time, as evidenced clinically or by magnetic resonance imaging (MRI). The 2010 McDonald criteria simplified MRI requirements, and newly proposed that the criteria are also suitable for the diagnosis of pediatric MS.

Collaboration


Dive into the Sridar Narayanan's collaboration.

Top Co-Authors

Avatar

Douglas L. Arnold

Montreal Neurological Institute and Hospital

View shared research outputs
Top Co-Authors

Avatar

Brenda Banwell

Children's Hospital of Philadelphia

View shared research outputs
Top Co-Authors

Avatar

D.L. Arnold

Montreal Neurological Institute and Hospital

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

D. Louis Collins

Montreal Neurological Institute and Hospital

View shared research outputs
Top Co-Authors

Avatar

Zografos Caramanos

Montreal Neurological Institute and Hospital

View shared research outputs
Top Co-Authors

Avatar

Robert A. Brown

Montreal Neurological Institute and Hospital

View shared research outputs
Top Co-Authors

Avatar

Jack P. Antel

Montreal Neurological Institute and Hospital

View shared research outputs
Top Co-Authors

Avatar

Simon J. Francis

Montreal Neurological Institute and Hospital

View shared research outputs
Researchain Logo
Decentralizing Knowledge