Complex neurodevelopmental disorders may be characterized by subtle brain function signatures early in life before behavioral symptoms are apparent. Such endophenotypes measurable biomarkers for later cognitive impairments. The nonlinear complexity of electroencephalography (EEG) signals is believed to contain information about the architecture neural networks on many scales. Early detection abnormalities EEG an biomarker developmental disorders. goal this paper demonstrate that modified...

Autism spectrum disorder (ASD) is a complex and heterogeneous disorder, diagnosed on the basis of behavioral symptoms during second year life or later. Finding scalable biomarkers for early detection challenging because variability in presentation need simple measurements that could be implemented routinely well-baby checkups. EEG relatively easy-to-use, low cost brain measurement tool being increasingly explored as potential clinical monitoring atypical development. were collected from 99...

Dyslipidemia is an important modifiable risk factor for cardiovascular disease. It diagnosed by the presence of abnormal lipid profile, primarily with elevated levels plasma cholesterol, triglyceride, or both, reduced high-density lipoprotein cholesterol. However, some studies have reported increased ischemic stroke low-density cholesterol (LDL-C) and mortality independent LDL-C in type 2 diabetes mellitus (T2DM) patients.In this cross-sectional study, data were included Thai adults from...

We model the evolution of regional stress following 1992 Landers earthquake in order to test importance pore fluid flow producing aftershocks. Rising pressure due and resulting Coulomb changes were found be strongly correlated with time location aftershock events. Regional frequencies computed by integrating decay rates also agreed quite well data. Calculations show that regions rising postseismic poroelastic overlap considerably positive coseismic stress. Thus flow, which affects within...

We explicitly calculate the absolute (single‐phase) permeability of simulated granular rocks as pore space is evolved by various diagenetic schemes. Our goal to match our computed curves laboratory measurements porosity‐permeability relationships in real rocks. To achieve this we model rock a dense random pack identical spherical grains with cement deposited space. The positions sphere centers numerical are taken from experimental (the Finney pack). diagenesis ways: uniform deposition on...

Although autism and epilepsy are considered to be different disorders, epileptiform EEG activity is common in people with even when overt seizures not present. The relatively high comorbidity between all syndromes suggests the possibility of underlying neurophysiological mechanisms. many epilepsies may comorbid autism, absence a generalized syndrome that appear as staring spells, no motor signs focal lesions, making it more difficult diagnose. Application nonlinear methods for signal...

Expert knowledge in journal articles is an important source of data for reconstructing biological pathways and creating new hypotheses. An need medical research to integrate this with high throughput sources build useful models that span several scales. Researchers traditionally use mental information development Unfortunately, the amount often overwhelming these are inadequate predicting dynamic response complex pathways. Hierarchical computational allow exploration semi-quantitative...

Investigating the complex systems dynamics of aging process requires integration a broad range cellular processes describing damage and functional decline co-existing with adaptive protective regulatory mechanisms. We evolve an integrated generic cell network to represent connectivity key mechanisms structured into positive negative feedback loop motifs centrally important for aging. The conceptual is casted fuzzy-logic, hybrid-intelligent framework based on interaction rules assembled from...

Numerical simulation of laboratory experiments on rocks, or digital rock physics, is an emerging field that may eventually benefit the petroleum industry. For numerical experimentation to find its way into mainstream, it must be practical and easily repeatable — i.e., implemented standard hardware in real time. This condition reduces size a sample just few grains across. Also, small physical fragments rock, such as cuttings, only material available produce images. Will results meaningful for...

Early identification of autism spectrum disorder (ASD) provides an opportunity for early intervention and improved developmental outcomes. The use electroencephalography (EEG) in infancy has shown promise predicting later ASD diagnoses identifying neural mechanisms underlying the disorder. Given high co-morbidity with language impairment, we others have speculated that infants who are diagnosed altered learning, including phoneme discrimination. Phoneme learning occurs rapidly infancy, so...

Abstract Childhood epilepsy with centrotemporal spikes, previously known as Benign Epilepsy Centro-temporal Spikes (BECTS) or Rolandic Epilepsy, is one of the most common forms focal childhood epilepsy. Despite its prevalence, BECTS often misdiagnosed missed entirely. This in part due to nocturnal and brief nature seizures, making it difficult identify during a routine electroencephalogram (EEG). Detecting brain activity that highly associated on brief, awake EEG has potential improve...

Great strides have been made recently in documenting that machine-learning programs can predict seizure occurrence people who epilepsy. Along with this progress come claims appear to us be a bit premature. We anticipate many will benefit from prediction. also doubt all benefit. Although machine learning is useful tool for aiding discovery, we believe the greatest deeper understanding of seizures, epilepsy, and EEG features enable In essay, lay out reasons optimism skepticism.

Non-adherence to prescribed medications is a serious health problem in the United States, costing an estimated $100 billion per year. While poor adherence should be addressable with point of care information technology, integrating new solutions existing electronic records (EHR) systems require customization within each organization, which difficult because monolithic software design most EHR products.The objective this study was create published algorithm for predicting medication problems...

Abstract Background Multiscale entropy (MSE) has become increasingly common as a quantitative tool for analysis of physiological signals. The MSE computation involves first decomposing signal into multiple sub-signal ‘scales’ using coarse-graining algorithm. Methods algorithm averages adjacent values in time series to produce coarser scale series. Haar wavelet transform convolutes with scaled square wave function an approximation which is equivalent averaging points. Results Coarse-graining...

Numerical simulations of groundwater flow and chemical transport through three-dimensional heterogeneous porous media are described. The authors employ two CRAY supercomputers for different parts the decoupled calculation: field is computed on T3D massively parallel computer, contaminant migration simulated C90 vector supercomputer. compare simulation results subsurface models based homogeneous conceptual find that heterogeneities have a profound impact character migration.

Anxiety is the most common manifestation of psychopathology in youth, negatively affecting academic, social, and adaptive functioning increasing risk for mental health problems into adulthood. disorders are diagnosed only after clinical symptoms emerge, potentially missing opportunities to intervene during critical early prodromal periods. In this study, we used a new empirical approach extracting nonlinear features electroencephalogram (EEG), with goal discovering differences brain...

Autosomal dominant (AD) diseases result when a single mutant or non-functioning gene is present on an autosomal chromosome. These often do not emerge at birth. There are presently two prevailing theories explaining the expression of AD diseases. One explanation originates from Knudson two-hit theory hereditary cancers, where loss heterozygosity occurrence somatic mutations impairs function wild-type copy. While these second hits may be sufficient for stable disease states, it difficult to...

Abstract A seizure likelihood biomarker could improve monitoring and facilitate adjustment of treatments based on risk. Here, we tested differences in patient-specific 24-h-modulation patterns electrodermal activity (EDA), peripheral body temperature (TEMP), heart rate (HR) between patients with without seizures. We enrolled who underwent continuous video-EEG at Boston Children’s Hospital to wear a biosensor. divided into two groups: those no seizures least one during the recording period....