Representing Neuromathematics: complex images for science dissemination

The NeuroMat dissemination team has led an experimental project to produce graphic video representations of papers from the NeuroMat research team. The goal is to experiment a new language for scientific dissemination that both provides an understanding of the research process and contributes to the development of a new line of research on how to represent science.

Vagas para programadores

O Centro de Pesquisa, Inovação e Difusão em Neuromatemática (CEPID NeuroMat) está oferecendo bolsas de treinamento técnico para programadores interessados em fazer parte de um centro de pesquisas científicas de alto nível.

Packing arborescences in random digraphs

Carlos Hoppen, Roberto F. Parente and Cristiane M. Sato

We study the problem of packing arborescences in the random digraph D(n,p), where each possible arc is included uniformly at random with probability p=p(n). Let λ (D(n,p)) denote the largest integer λ≥0 such that, for all 0≤ℓ≤λ, we have ∑i=0ℓ−1(ℓ−i)|{v:din(v)=i}|≤ℓ. We show that the maximum number of arc-disjoint arborescences in D(n,p) is λ(D(n,p)) a.a.s. We also give tight estimates for λ(D(n,p)) depending on the range of p.

Thought disorder measured as random speech structure classifies negative symptoms and schizophrenia diagnosis 6 months in advance

Natália B. Mota, Mauro Copelli and Sidarta Ribeiro

In chronic psychotic patients, word graph analysis shows potential as complementary psychiatric assessment. This analysis relies mostly on connectedness, a structural feature of speech that is anti-correlated with negative symptoms. Here we aimed to verify whether speech disorganization during the first clinical contact, as measured by graph connectedness, can correctly classify negative symptoms and the schizophrenia diagnosis 6 months in advance. Positive and negative syndrome scale scores and memory reports were collected from 21 patients undergoing first clinical contact for recent-onset psychosis, followed for 6 months to establish diagnosis, and compared to 21 well-matched healthy subjects. Each report was represented as a word-trajectory graph. Connectedness was measured by number of edges, number of nodes in the largest connected component and number of nodes in the largest strongly connected component. Similarities to random graphs were estimated. All connectedness attributes were combined into a single Disorganization Index weighted by the correlation with the positive and negative syndrome scale negative subscale, and used for classifications. Random-like connectedness was more prevalent among schizophrenia patients (64 × 5% in Control group, p = 0.0002). Connectedness from two kinds of memory reports (dream and negative image) explained 88% of negative symptoms variance (p  <  0.0001). The Disorganization Index classified low vs. high severity of negative symptoms with 100% accuracy (area under the receiver operating characteristic curve = 1), and schizophrenia diagnosis with 91.67% accuracy (area under the receiver operating characteristic curve = 0.85). The index was validated in an independent cohort of chronic psychotic patients and controls (N = 60) (85% accuracy). Thus, speech disorganization during the first clinical contact correlates tightly with negative symptoms, and is quite discriminative of the schizophrenia diagnosis.

A NeuroMat reference site on brachial plexus injury

The Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat) has launched a web portal for the ABRAÇO initiative to provide an easy-to-go reference point for updated, reliable information on the brachial plexus injury and research associated to this injury. ABRAÇO stands for NeuroMat Action for the Brachial Plexus Injury and is led by NeuroMat PI Claudia Domingues Vargas. The web portal associated to ABRAÇO is available at: abraco.numec.prp.usp.br.

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O Centro de Pesquisa, Inovação e Difusão em Neuromatemática está sediado na Universidade de São Paulo e é financiado pela FAPESP (Fundação de Amparo à Pesquisa do Estado de São Paulo).

 

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