Posterior cortical atrophy (PCA) represents a special clinicoradiologic syndrome characterized by progressive visuospatial and visuoperceptual deficits. PCA and corticobasal syndrome (CBS) may share similar pathogenetic mechanisms. We report the clinical, neuropsychological, imaging, and genetic features of a patient with initial visual problems, who further developed other cognitive impairment...

The efficacy of a newly created software package for predictive modeling of developmental gene regulatory networks (GRNs) has recently been demonstrated (Peter et al., 2012 ). The program GeNeTool computes spatial gene expression patterns based on GRN interactions and thereby allows the direct comparison of predicted and observed spatial expression patterns. GeNeTool also permits in silico expl...

The identification of biological parameters governing dynamics of Genetic Regulatory Networks (GRN) poses a problem of combinatorial explosion, since the possibilities of parameter instantiation are numerous even for small networks. In this paper, we propose to adapt LTL model checking algorithms to infer biological parameters from biological properties given as LTL formulas. In order to reduce...

Early specification of endomesodermal territories in the sea urchin embryo depends on a moving torus of regulatory gene expression. We show how this dynamic patterning function is encoded in a gene regulatory network (GRN) subcircuit that includes the otx, wnt8, and blimp1 genes, the cis-regulatory control systems of which have all been experimentally defined. A cis-regulatory reconstruction ex...

During last two decades, enormous amount of biological data generated by highthroughput analytical methods in biology produces vast patterns of gene activity, highlighting the need for systematic tools to identify the architecture and dynamics of the underlying GRN (He et al. 2009). Here, the system identification problem falls naturally into the category of reverse engineering; a complex genet...

Background The ARTFL-LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) study is designed to characterize both sporadic and familial FTLD (f-FTLD) through annual detailed clinical, neuropsychological, biomarker, neuroimaging assessments capture disease onset trajectory in preparation for therapeutic trails FTLD. Transitions from asymptomatic mild disease, or overt, may reveal criti...

This paper proposes novel architectures for spatio-temporal graph convolutional and recurrent neural networks whose structure is inspired by the physics of power systems. The key insight behind our design consists in deriving so-called shift operator (GSO), which cornerstone Graph Convolutional Neural Network (GCN) Recursive (GRN) designs, from flow equations. We demonstrate effectiveness propo...

Mathematical modelling and simulation can aid the analysis and design of gene regulatory networks (GRNs). GRN modelling approaches can be divided into two major categories, deterministic and stochastic. In this paper we present a new algorithm for GRN modelling called hybrid discrete algorithm (HDA). It introduces stochastic effects into an underlying deterministic approach and is based on impl...