Conceição Bettencourt, PhD; Mina Ryten, MD; Paola Forabosco, PhD; et al.
free access
JAMA Neurol. 2014;71(7):831-839. doi:10.1001/jamaneurol.2014.756
Bettencourt et al address the possible relationships among known spinocerebellar ataxia genes, predict their functions, identify overlapping pathways, and provide a framework for candidate gene discovery using whole-transcriptome expression data. They analyzed 788 brain samples obtained from 101 healthy individuals. See the editorial by Pulst and Pflieger.
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Editorial
Coexpression Networks Predict Ataxia Genes
Stefan M. Pulst, MD; Lance T. Pflieger, BS
JAMA Neurol
Sara Llufriu, MD, PhD; John Kornak, PhD; Helene Ratiney, PhD; et al.
free access
JAMA Neurol. 2014;71(7):840-847. doi:10.1001/jamaneurol.2014.895
Llufriu and colleagues evaluated the potential of magnetic resonance spectroscopy (MRS) markers of central nervous system injury to predict brain-volume loss and clinical disability in multiple sclerosis. Miller provided a related .
Bruce Ovbiagele, MD, MSc, MAS; Mathew J. Reeves, BVSc, PhD; Mojdeh Nasiri, MD; et al.
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JAMA Neurol. 2014;71(7):848-854. doi:10.1001/jamaneurol.2014.689
Using an international repository of clinical trials data, Ovbiagele and coauthors assess the relationship between SPAN-100 index (Stroke Prognostication using Age and the NIH Stroke Scale index, created by combining age in years plus National Institutes of Health Stroke Scale score of 100 or higher) status and outcome following treatment with intravenous thrombolysis for acute ischemic stroke.
Maartje I. Kester, MD, PhD; Jeroen D. C. Goos, MD, PhD; Charlotte E. Teunissen, PhD; et al.
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JAMA Neurol. 2014;71(7):855-862. doi:10.1001/jamaneurol.2014.754
Kester and colleagues determine associations between small-vessel disease and Alzheimer disease pathology.
Erin D. Michos, MD, MHS; Kathryn A. Carson, ScM; Andrea L. C. Schneider, PhD; et al.
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JAMA Neurol. 2014;71(7):863-871. doi:10.1001/jamaneurol.2014.755
Michos et al examine the relationship of 25-hydroxyvitamin D levels with cerebrovascular abnormalities as assessed on brain magnetic resonance imaging (MRI) among participants of the Atherosclerosis Risk in Communities Brain MRI study.
Giuseppe Tosto, MD; Molly E. Zimmerman, PhD; Owen T. Carmichael, PhD; et al.
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JAMA Neurol. 2014;71(7):872-877. doi:10.1001/jamaneurol.2014.667
Tosto and colleagues examined the degree to which white matter hyperintensities (WMHs) predict aggressive cognitive decline among individuals with mild cognitive impairment (MCI), either independently or by modifying the effects of entorhinal cortex volume, a marker of Alzheimer disease鈥搑elated neurodegeneration.
John M. Ringman, MD, MS; Michael C. Sachs, PhD; Yan Zhou, PhD; et al.
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JAMA Neurol. 2014;71(7):878-883. doi:10.1001/jamaneurol.2014.681
Ringman et al determine pathological correlates and clinical factors identifiable during life that predict the presence of severe cerebral amyloid angiopathy (CAA) in persons with pathologically confirmed Alzheimer disease.
Santiago Perez-Lloret, MD, PhD; Laurence Negre-Pages, PhD; Philippe Damier, MD, PhD; et al.
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JAMA Neurol. 2014;71(7):884-890. doi:10.1001/jamaneurol.2014.753
Perez-Lloret et al determine the prevalence of freezing of gait in patients with Parkinson disease (PD). They assess its relationship with quality of life and explore factors between the off and on states in patients with motor fluctuations.