1,721,190 research outputs found
Genetic epileptic encephalopathies: is all written into the DNA?
Epileptic encephalopathy is a condition in which epileptic activity, clinical or subclinical, is thought to be responsible for any disturbance of cognition, behavior, or motor control. However, experimental evidence supporting this clinical observation are still poor and the causal relationship between pharmacoresistant seizures and cognitive outcome is controversial. In the past two decades, genetic studies shed new light onto complex mechanisms underlying different severe epileptic conditions associated with intellectual disability and behavioral abnormalities, thereby providing important clues on the relationship between seizures and cognitive outcome. Dravet syndrome is a childhood disorder associated with loss-of-function mutations in SCN1A and is characterized by frequent seizures and severe cognitive impairment, thus well illustrating the concept of epileptic encephalopathy. However, it is difficult to determine the causative role of the underlying sodium channel dysfunction and that of the consequent seizures in influencing cognitive outcome in these children. It is also difficult to demonstrate whether a recognizable profile of cognitive impairment or a definite behavioral phenotype exists. Data from the laboratory and the clinics may provide greater insight into the degree to which epileptic activity may contribute to cognitive impairment in individual syndromes
Localization of the gene for the intermediate form of Charcot-Marie-Tooth to chromosome 10q24.1-q25.1
Intermediate Charcot-Marie-Tooth neuropathy (CMT) is an inherited sensory motor neuropathy characterized by motor median nerve conduction velocities of 25-45 m/s. We performed a genomewide search in an Italian family with autosomal dominant intermediate CMT and mapped the locus on chromosome 10q. Analysis of key recombinants maps the gene for autosomal dominant intermediate CMT to a 10.7-Mb interval on chromosome 10q24.1-q25.1, between simple tandem repeat markers D10S1709 and D10S179
Caspr1/Paranodin/Neurexin IV is most likely not a common disease-causing gene for inherited peripheral neuropathies
Contactin associated protein 1 (Caspr1/Paranodin/Neurexin IV) is an axonal transmembrane molecule mainly localised at the paranodal junction. Since molecular alterations in septate-like junctions at the paranodes might have important consequences for the function of the nerve fiber, we considered that Caspr1 could be involved in the pathogenesis of inherited peripheral neuropathies. In this study, we physically mapped the Caspr1 gene on chromosome 17q21.1 and determined its genomic structure. We performed a mutation analysis of the Caspr1 gene in a cohort of 64 unrelated patients afflicted with distinct inherited peripheral neuropathies. Since no disease causing mutations were found, we suggest that Caspr1 is probably not a common cause of inherited peripheral neuropathies
Caspr1/Paranodin/Neurexin IV is most likely not a common disease-causing gene for inherited peripheral neuropathies
Contactin associated protein 1 (Caspr1/Paranodin/Neurexin IV) is an axonal transmembrane molecule mainly localised at the paranodal junction. Since molecular alterations in septate-like junctions at the paranodes might have important consequences for the function of the nerve fiber, we considered that Caspr1 could be involved in the pathogenesis of inherited peripheral neuropathies. In this study, we physically mapped the Caspr1 gene on chromosome 17q21.1 and determined its genomic structure. We performed a mutation analysis of the Caspr1 gene in a cohort of 64 unrelated patients afflicted with distinct inherited peripheral neuropathies. Since no disease causing mutations were found, we suggest that Caspr1 is probably not a common cause of inherited peripheral neuropathies
The genetics of Dravet syndrome
Dravet syndrome (DS), otherwise known as severe myoclonic epilepsy of infancy (SMEI), is an epileptic encephalopathy presenting in the first year of life. DS has a genetic etiology: between 70% and 80% of patients carry sodium channel α1 subunit gene (SCN1A) abnormalities, and truncating mutations account for about 40% and have a significant correlation with an earlier age of seizures onset. The remaining SCN1A mutations comprise splice-site and missense mutations, most of which fall into the pore-forming region of the sodium channel. Mutations are randomly distributed across the SCN1A protein. Most mutations are de novo, but familial SCN1A mutations also occur. Somatic mosaic mutations have also been reported in some patients and might explain the phenotypical variability seen in some familial cases. SCN1A exons deletions or chromosomal rearrangements involving SCN1A and contiguous genes are also detectable in about 2-3% of patients. A small percentage of female patients with a DS-like phenotype might carry PCDH19 mutations. Rare mutations have been identified in the GABARG2 and SCN1B genes. The etiology of about 20% of DS patients remains unknown, and additional genes are likely to be implicated. © Wiley Periodicals, Inc. 2011 International League Against Epilepsy
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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