✦ LIBER ✦

Black holes in multiple sclerosis: definition, evolution, and clinical correlations

✍ Scribed by M. A. Sahraian; E.-W. Radue; S. Haller; L. Kappos

Book ID: 109338988
Publisher: John Wiley and Sons
Year: 2009
Tongue: English
Weight: 188 KB
Volume: 122
Category: Article
ISSN: 0001-6314
DOI: 10.1111/j.1600-0404.2009.01221.x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Segmentation and quantification of black

Segmentation and quantification of black holes in multiple sclerosis

✍ Sushmita Datta; Balasrinivasa Rao Sajja; Renjie He; Jerry S. Wolinsky; Rakesh K. 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 341 KB

Clinical–Magnetic Resonance Imaging Corr

Clinical–Magnetic Resonance Imaging Correlations in Multiple Sclerosis

✍ Robert Zivadinov; Thomas P. Leist 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 171 KB

Epileptic seizures in multiple sclerosis

Epileptic seizures in multiple sclerosis: clinical and EEG correlations

✍ P. Striano; G. Orefice; V. Brescia Morra; P. Boccella; C. Sarappa; R. Lanzillo; 📂 Article 📅 2003 🏛 Springer Milan 🌐 English ⚖ 241 KB

Magnetic resonance imaging and clinical

Magnetic resonance imaging and clinical correlations in multiple sclerosis

✍ Steven J. Huber; George W. Paulson; Donald Chakeres; Ann Pakalnis; Martha Brogan 📂 Article 📅 1988 🏛 Elsevier Science 🌐 English ⚖ 948 KB

Lymphocyte subpopulations in multiple sc

Lymphocyte subpopulations in multiple sclerosis: Serial studies and clinical correlations

✍ H.J. Sagar; I.D. Allonby 📂 Article 📅 1979 🏛 Elsevier Science 🌐 English ⚖ 804 KB

Clinical correlations of brain lesion di

Clinical correlations of brain lesion distribution in multiple sclerosis

✍ M.M. Vellinga; J.J.G. Geurts; E. Rostrup; B.M.J. Uitdehaag; C.H. Polman; F. Bark 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 220 KB

## Abstract ## Purpose To explore relations between spatial distribution of multiple sclerosis (MS) lesions, and disability. In MS, the presence of asymptomatic brain lesions challenges the prediction of disability based on conventional brain MRI. Hypothesizing that symptomatology may partly be de