Seizures are a disruption of normal brain activity present across a vast range of species and conditions. We introduce an organizing principle that leads to the first objective Taxonomy of Seizure Dynamics (TSD) based on bifurcation theory. The ‘dynamotype’ of a seizure is the dynamic composition that defines its observable characteristics, including how it starts, evolves and ends. Analyzing over 2000 focal-onset seizures from multiple centers, we find evidence of all 16 dynamotypes predicted in TSD. We demonstrate that patients’ dynamotypes evolve during their lifetime and display complex but systematic variations including hierarchy (certain types are more common), non-bijectivity (a patient may display multiple types) and pairing preference (multiple types may occur during one seizure). TSD provides a way to stratify patients in complement to present clinical classifications, a language to describe the most critical features of seizure dynamics, and a framework to guide future research focused on dynamical properties.

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EMT is a critical prognostic factor for gastric cancer. Zeb-1 might be a promising therapeutic target.

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Background/Aims: Identification of nutritional indicators to predict short-term and long-term outcomes is necessary to provide appropriate treatment to patients with gastric cancer. Methods: We designed an analysis of a multicenter dataset of patients with gastric cancer who underwent gastrectomy between 2010 and 2014. We enrolled 842 eligible patients who had stage II/III gastric cancer. The area under the curve (AUC) values were compared among prognostic nutritional index (PNI), calculated as 10 × albumin g/dL + 0.005 × total lymphocyte count/mm3, and its constituents, and the predictive value of preoperative PNI for postoperative short-term and long-term outcomes was evaluated. Results: Preoperative PNI exhibited higher AUC values (0.719) for 1-year survival than its constituents, and the optimal cutoff value was 47. The disease-free and overall survival of patients in the PNI-low group were significantly shorter compared with those in the PNI-high group. The prognostic difference between the PNI-high and PNI-low groups was significantly greater in the subgroup of patients who underwent total gastrectomy. Clinically relevant postoperative complications were more frequently observed in the PNI-low group. Conclusions: The preoperative PNI is a useful predictor reflecting the incidence of complications after gastrectomy and the prognosis of patients with stage II/III gastric cancer.