Sleepwalking, REM sleep behaviour disorder and overlap parasomnia in patients with Parkinson's disease

BACKGROUND/AIMS In a questionnaire survey, we identified 36 (9%) of 417 Parkinson's disease (PD) patients with sleepwalking (SW); 72% of them also had a history of REM sleep behaviour disorder (RBD). We aimed to assess the clinical and polysomnographic characteristics of SW in PD and to compare them to patients with PD with and without a history of RBD. METHODS We performed video-polysomnography and detailed clinical examination in 30 PD patients from the above-mentioned survey: 10 patients with a history of SW, 10 patients with a history of RBD, and 10 patients with no history of either SW or RBD. RESULTS PD patients with SW had higher depression, anxiety and Hoehn & Yahr scores and lower activities of daily living scores than patients without a history of RBD but did not differ from patients with RBD. Patients with SW and RBD also had more often dyskinesia and hallucinations. By polysomnography, RBD was observed in 8 patients with SW and in all patients with a history of RBD. A total of 5 patients without a history of either SW or RBD had REM sleep without atonia without behavioural peculiarities. CONCLUSION SW in PD is associated with depression, higher disease severity and functional disability. The simultaneous occurrence of SW and RBD (overlap parasomnia) in most patients suggests a common underlying disturbance of motor control during sleep in PD, with variable manifestations in different sleep stages.

Global ASCII grids with daylenth values during summer and winter solstice and ASCII grids representing habitat suitability of Fucus distichus and its niche overlap with temperate macroalgae under present-day and future (2100, 2200) conditions

Abstract has to be submitted by the author!

The miniaturized nuclear genome of eukaryotic endosymbiont contains genes that overlap, genes that are cotranscribed, and the smallest known spliceosomal introns.

Chlorarachniophyte algae contain a complex, multi-membraned chloroplast derived from the endosymbiosis of a eukaryotic alga. The vestigial nucleus of the endosymbiont, called the nucleomorph, contains only three small linear chromosomes with a haploid genome size of 380 kb and is the smallest known eukaryotic genome. Nucleotide sequence data from a subtelomeric fragment of chromosome III were analyzed as a preliminary investigation of the coding capacity of this vestigial genome. Several housekeeping genes including U6 small nuclear RNA (snRNA), ribosomal proteins S4 and S13, a core protein of the spliceosome [small nuclear ribonucleoprotein (snRNP) E], and a cip-like protease (clpP) were identified. Expression of these genes was confirmed by combinations of Northern blot analysis, in situ hybridization, immunocytochemistry, and cDNA analysis. The protein-encoding genes are typically eukaryotic in overall structure and their messenger RNAs are polyadenylylated. A novel feature is the abundance of 18-, 19-, or 20-nucleotide introns; the smallest spliceosomal introns known. Two of the genes, U6 and S13, overlap while another two genes, snRNP E and clpP, are cotranscribed in a single mRNA. The overall gene organization is extraordinarily compact, making the nucleomorph a unique model for eukaryotic genomics.

A new modularity measure for Fuzzy Community detection problems based on overlap and grouping functions

One of the main challenges of fuzzy community detection problems is to be able to measure the quality of a fuzzy partition. In this paper, we present an alternative way of measuring the quality of a fuzzy community detection output based on n-dimensional grouping and overlap functions. Moreover, the proposed modularity measure generalizes the classical Girvan–Newman (GN) modularity for crisp community detection problems and also for crisp overlapping community detection problems. Therefore, it can be used to compare partitions of different nature (i.e. those composed of classical, overlapping and fuzzy communities). Particularly, as is usually done with the GN modularity, the proposed measure may be used to identify the optimal number of communities to be obtained by any network clustering algorithm in a given network. We illustrate this usage by adapting in this way a well-known algorithm for fuzzy community detection problems, extending it to also deal with overlapping community detection problems and produce a ranking of the overlapping nodes. Some computational experiments show the feasibility of the proposed approach to modularity measures through n-dimensional overlap and grouping functions.

Sample-to-sample fluctuations of the overlap distributions in the three-dimensional Edwards-Anderson spin glass

We study the sample-to-sample fluctuations of the overlap probability densities from large-scale equilibrium simulations of the three-dimensional Edwards-Anderson spin glass below the critical temperature. Ultrametricity, stochastic stability, and overlap equivalence impose constraints on the moments of the overlap probability densities that can be tested against numerical data. We found small deviations from the Ghirlanda Guerra predictions, which get smaller as system size increases. We also focus on the shape of the overlap distribution, comparing the numerical data to a mean-field-like prediction in which finite-size effects are taken into account by substituting delta functions with broad peaks.

The minimal overlap rule: restrictions on mergers for creditors’ consensus

As it is known, there is no rule satisfying additivity in the complete domain of bankruptcy problems. This paper proposes a notion of partial additivity in this context, to be called μ-additivity. We find out that this property, together with two quite compelling axioms, equal treatment of equals and continuity, identify the minimal overlap rule, introduced by O’Neill (Math. Soc. Sci. 2:345–371, 1982).

Duplication, overlap, and fragmentation in government programs : hearing before the Committee on Governmental Affairs, United States Senate, One Hundred Fourth Congress, first session, June 7, 1995.

Shipping list no.: 96-0230-P.

Multiple employment training programs : overlap among programs raises questions about efficiency : report to the Chairman, Subcommittee on Labor, Health and Human Services and Education, Committee on Appropriations, U.S. Senate /

"B-257662"--P. 1.

Measures of overlap of income distributions of white and Negro families in the United States /

"A United States Department of Commerce publication."

Overlap between neurodegenerative disorders

Neurodegenerative disorders are characterized by the formation of distinct pathological changes in the brain, including extracellular protein deposits, cellular inclusions, and changes in cell morphology. Since the earliest published descriptions of these disorders, diagnosis has been based on clinicopathological features, namely, the coexistence of a specific clinical profile together with the presence or absence of particular types of lesion. In addition, the molecular profile of lesions has become an increasingly important feature both in the diagnosis of existing disorders and in the description of new disease entities. Recent studies, however, have reported considerable overlap between the clinicopathological features of many disorders leading to difficulties in the diagnosis of individual cases and to calls for a new classification of neurodegenerative disease. This article discusses: (i) the nature and degree of the overlap between different neurodegenerative disorders and includes a discussion of Alzheimer's disease, dementia with Lewy bodies, the fronto-temporal dementias, and prion disease; (ii) the factors that contribute to disease overlap, including historical factors, the presence of disease heterogeneity, age-related changes, the problem of apolipoprotein genotype, and the co-occurrence of common diseases; and (iii) whether the current nosological status of disorders should be reconsidered.

On the 'classification' of neurodegenerative disorders:discrete entities, overlap or continuum?

The traditional method of classifying neurodegenerative diseases is based on the original clinico-pathological concept supported by 'consensus' criteria and data from molecular pathological studies. This review discusses first, current problems in classification resulting from the coexistence of different classificatory schemes, the presence of disease heterogeneity and multiple pathologies, the use of 'signature' brain lesions in diagnosis, and the existence of pathological processes common to different diseases. Second, three models of neurodegenerative disease are proposed: (1) that distinct diseases exist ('discrete' model), (2) that relatively distinct diseases exist but exhibit overlapping features ('overlap' model), and (3) that distinct diseases do not exist and neurodegenerative disease is a 'continuum' in which there is continuous variation in clinical/pathological features from one case to another ('continuum' model). Third, to distinguish between models, the distribution of the most important molecular 'signature' lesions across the different diseases is reviewed. Such lesions often have poor 'fidelity', i.e., they are not unique to individual disorders but are distributed across many diseases consistent with the overlap or continuum models. Fourth, the question of whether the current classificatory system should be rejected is considered and three alternatives are proposed, viz., objective classification, classification for convenience (a 'dissection'), or analysis as a continuum.