From conformons to human brains: an informal overview of nonlinear dynamics and its applications in biomedicine

Methods of contemporary physics are increasingly important for biomedical research but, for a multitude of diverse reasons, most practitioners of biomedicine lack access to a comprehensive knowledge of these modern methodologies. This paper is an attempt to describe nonlinear dynamics and its methods in a way that could be read and understood by biomedical professionals who usually are not trained in advanced mathematics. After an overview of basic concepts and vocabulary of nonlinear dynamics, deterministic chaos, and fractals, application of nonlinear methods of biosignal analysis is discussed. In particular, five case studies are presented: 1. Monitoring the depth of anaesthesia and of sedation; 2. Bright Light Therapy and Seasonal Affective Disorder; 3. Analysis of posturographic signals; 4. Evoked EEG and photo-stimulation; 5. Influence of electromagnetic fields generated by cellular phones

Factors Affecting Student Motivation Related to Enrollment and Retention in Music And Performing Ensembles Outside of The School Environment

Despite extensive research regarding student motivation in performing ensembles, little is known about student motivation in ensembles outside of the school environment. The literature regarding motivation in school ensembles shows motivation comes from five main categories: parents and family, peers, directors, environment, and the students themselves. This study asks basic questions regarding motivation of students in a large community performing ensemble, and compares them to responses from the same students regarding their school ensemble experiences. The responses to the questionnaire suggest that motivating factors in community ensembles fall into the same basic categories, but have slightly different nuances based on the environment. Looking through the context of Abraham Maslow\u27s hierarchy of needs, this study adds to a growing body of research regarding student motivation, emphasizing the importance of parents, peers, and the director in student motivation and retention in ensembles both in and out of the school settin

Simple fractal method of assessment of histological images for application in medical diagnostics

We propose new method of assessment of histological images for medical diagnostics. 2-D image is preprocessed to form 1-D landscapes or 1-D signature of the image contour and then their complexity is analyzed using Higuchi's fractal dimension method. The method may have broad medical application, from choosing implant materials to differentiation between benign masses and malignant breast tumors

Everything you wanted to ask about EEG but were afraid to get the right answer

We answer several important questions concerning EEG. We also shortly discuss importance of nonlinear methods of contemporary physics in EEG analysis. Basic definitions and explanation of fundamental concepts may be found in my previous publications in NBP

O-GlcNAc modifications regulate cell survival and epiboly during zebrafish development

<p>Abstract</p> <p>Background</p> <p>The post-translational addition of the monosaccharide O-linked β-<it>N</it>-acetylglucosamine (O-GlcNAc) regulates the activity of a wide variety of nuclear and cytoplasmic proteins. The enzymes O-GlcNAc Transferase (Ogt) and O-GlcNAcase (Oga) catalyze, respectively, the attachment and removal of O-GlcNAc to target proteins. In adult mice, Ogt and Oga attenuate the response to insulin by modifying several components of the signal transduction pathway. Complete loss of <it>ogt </it>function, however, is lethal to mouse embryonic stem cells, suggesting that the enzyme has additional, unstudied roles in development. We have utilized zebrafish as a model to determine role of O-GlcNAc modifications in development. Zebrafish has two <it>ogt </it>genes, encoding six different enzymatic isoforms that are expressed maternally and zygotically.</p> <p>Results</p> <p>We manipulated O-GlcNAc levels in zebrafish embryos by overexpressing zebrafish <it>ogt</it>, human <it>oga </it>or by injecting morpholinos against <it>ogt </it>transcripts. Each of these treatments results in embryos with shortened body axes and reduced brains at 24 hpf. The embryos had 23% fewer cells than controls, and displayed increased rates of cell death as early as the mid-gastrula stages. An extensive marker analysis indicates that derivatives of three germ layers are reduced to variable extents, and the embryos are severely disorganized after gastrulation. Overexpression of Ogt and Oga delayed epiboly and caused a severe disorganization of the microtubule and actin based cytoskeleton in the extra-embryonic yolk syncytial layer (YSL). The cytoskeletal defects resemble those previously reported for embryos lacking function of the Pou5f1/Oct4 transcription factor <it>spiel ohne grenzen</it>. Consistent with this, Pou5f1/Oct4 is modified by O-GlcNAc in human embryonic stem cells.</p> <p>Conclusion</p> <p>We conclude that O-GlcNAc modifications control the activity of proteins that regulate apoptosis and epiboly movements, but do not seem to regulate germ layer specification. O-GlcNAc modifies the transcription factor Spiel ohne grenzen/Pou5f1 and may regulate its activity.</p

Hilbert-Huang versus Morlet wavelet transformation on mismatch negativity of children in uninterrupted sound paradigm

Background. Compared to the waveform or spectrum analysis of event-related potentials (ERPs), time-frequency representation (TFR) has the advantage of revealing the ERPs time and frequency domain information simultaneously. As the human brain could be modeled as a complicated nonlinear system, it is interesting from the view of psychological knowledge to study the performance of the nonlinear and linear time-frequency representation methods for ERP research. In this study Hilbert-Huang transformation (HHT) and Morlet wavelet transformation (MWT) were performed on mismatch negativity (MMN) of children. Participants were 102 children aged 8&#8211;16 years. MMN was elicited in a passive oddball paradigm with duration deviants. The stimuli consisted of an uninterrupted sound including two alternating 100 ms tones (600 and 800 Hz) with infrequent 50 ms or 30 ms 600 Hz deviant tones. In theory larger deviant should elicit larger MMN. This theoretical expectation is used as a criterion to test two TFR methods in this study. For statistical analysis MMN support to absence ratio (SAR) could be utilized to qualify TFR of MMN. Results. Compared to MWT, the TFR of MMN with HHT was much sharper, sparser, and clearer. Statistically, SAR showed significant difference between the MMNs elicited by two deviants with HHT but not with MWT, and the larger deviant elicited MMN with larger SAR. Conclusion. Support to absence ratio of Hilbert-Huang Transformation on mismatch negativity meets the theoretical expectations, i.e., the more deviant stimulus elicits larger MMN. However, Morlet wavelet transformation does not reveal that. Thus, HHT seems more appropriate in analyzing event-related potentials in the time-frequency domain. HHT appears to evaluate ERPs more accurately and provide theoretically valid information of the brain responses.peerReviewe

Higuchi Dimension of Digital Images

There exist several methods for calculating the fractal dimension of objects represented as 2D digital images. For example, Box counting, Minkowski dilation or Fourier analysis can be employed. However, there appear to be some limitations. It is not possible to calculate only the fractal dimension of an irregular region of interest in an image or to perform the calculations in a particular direction along a line on an arbitrary angle through the image. The calculations must be made for the whole image. In this paper, a new method to overcome these limitations is proposed. 2D images are appropriately prepared in order to apply 1D signal analyses, originally developed to investigate nonlinear time series. The Higuchi dimension of these 1D signals is calculated using Higuchi's algorithm, and it is shown that both regions of interests and directional dependencies can be evaluated independently of the whole picture. A thorough validation of the proposed technique and a comparison of the new method to the Fourier dimension, a common two dimensional method for digital images, are given. The main result is that Higuchi's algorithm allows a direction dependent as well as direction independent analysis. Actual values for the fractal dimensions are reliable and an effective treatment of regions of interests is possible. Moreover, the proposed method is not restricted to Higuchi's algorithm, as any 1D method of analysis, can be applied

The route of priming influences the ability of respiratory virus–specific memory CD8+ T cells to be activated by residual antigen

After respiratory virus infections, memory CD8+ T cells are maintained in the lung airways by a process of continual recruitment. Previous studies have suggested that this process is controlled, at least in the initial weeks after virus clearance, by residual antigen in the lung-draining mediastinal lymph nodes (MLNs). We used mouse models of influenza and parainfluenza virus infection to show that intranasally (i.n.) primed memory CD8+ T cells possess a unique ability to be reactivated by residual antigen in the MLN compared with intraperitoneally (i.p.) primed CD8+ T cells, resulting in the preferential recruitment of i.n.-primed memory CD8+ T cells to the lung airways. Furthermore, we demonstrate that the inability of i.p.-primed memory CD8+ T cells to access residual antigen can be corrected by a subsequent i.n. virus infection. Thus, two independent factors, initial CD8+ T cell priming in the MLN and prolonged presentation of residual antigen in the MLN, are required to maintain large numbers of antigen-specific memory CD8+ T cells in the lung airways