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Network statistics: theory, methods, and applications

Grant number: 18/21934-5
Support type:Research Projects - Thematic Grants
Duration: May 01, 2019 - April 30, 2024
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:André Fujita
Grantee:André Fujita
Home Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Co-Principal Investigators:Helder Takashi Imoto Nakaya ; João Ricardo Sato
Assoc. researchers: Abner Cardoso Rodrigues Neto ; Alexandre Alarcon Steiner ; Alexandre Galvão Patriota ; Andrea Parolin Jackowski ; Carlos Alberto Moreira Filho ; Claudinei Eduardo Biazoli Junior ; Daniel Yasumasa Takahashi ; David Corrêa Martins Junior ; Elisa Harumi Kozasa ; Fabricio Martins Lopes ; Itamar de Souza Santos ; Joana Bisol Balardin ; João Paulo Papa ; José Carlos Farias Alves Filho ; Mari Cleide Sogayar ; Rodrigo Affonseca Bressan ; Ronaldo Fumio Hashimoto ; Silvia Yumi Bando Takahara ; Thiago Mattar Cunha
Associated scholarship(s):19/17907-5 - Inferences on interbrain networks using functional near-infrared spectroscopy: investigating child-adult interactions, BP.DD
19/16418-0 - Comprehensive meta-analysis of gene networks associated to human viral infections, BP.DD
19/14879-0 - Investigating neural correlates of reading writing in children: an fNIRS study, BP.IC
19/12098-1 - Analysis of functional magnetic resonance imaging data of patients diagnosed with Schizophrenia, BP.IC

Abstract

The importance of statistics in natural sciences is unquestionable. Statistics is essential to analyze data appropriately and to reach reliable conclusions. However, little is known about formal statistical methods on graphs and their theoretical properties even with an increasing number of reports on the analysis of real world networks (e.g. functional brain networks, protein-protein interaction networks, and social interaction networks). Networks are usually analyzed using computational algorithms based on graph theory, such as calculation of centrality measures (relative importance of vertices and edges) or identification of structural patterns (motifs). The main drawback of this approach is the fact that real world networks present intrinsic fluctuations (random noise) that are not taken into account by these "classical" algorithms. Therefore, methods with statistical perspective may aid and complement these analyses. The main goals of this proposal is the development of both theory and computational statistics methods and apply them to real world data, such as networks from molecular biology, neuroimaging, and cardiac data. The development of this project will be essential to obtain novel insights, solidify the cooperation among PIs, and improve the research quality of all involved groups. In the long term, we will consolidate the field of Network Statistics, form groups of highly qualified researchers, and ultimately build a Center for Network Statistics in Brazil. This center will develop novel theoretical frameworks, methodological tools and also apply the latter to solve health sciences problems. (AU)

Scientific publications (6)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
VATTIMO, EDOARDO F. Q.; BARROS, VIVIAN B.; REQUENA, GUARACI; SATO, JOAO R.; FATORI, DANIEL; MIGUEL, EURIPEDES C.; SHAVITT, ROSELI G.; HOEXTER, MARCELO Q.; BATISTUZZO, MARCELO C. Caudate volume differences among treatment responders, non-responders and controls in children with obsessive-compulsive disorder. EUROPEAN CHILD & ADOLESCENT PSYCHIATRY, v. 28, n. 12, p. 1607-1617, DEC 2019. Web of Science Citations: 0.
HEINZE, RAFAEL ALVES; VANZELLA, PATRICIA; ZIMEO MORAIS, GUILHERME AUGUSTO; SATO, JOAO RICARDO. Hand motor learning in a musical context and prefrontal cortex hemodynamic response: a functional near-infrared spectroscopy (fNIRS) study. COGNITIVE PROCESSING, v. 20, n. 4, p. 507-513, NOV 2019. Web of Science Citations: 0.
BUENO, A. P. A.; SATO, J. R.; HORNBERGER, M. Eye tracking - The overlooked method to measure cognition in neurodegeneration?. Neuropsychologia, v. 133, OCT 2019. Web of Science Citations: 0.
JARDIM, VINICIUS CARVALHO; SANTOS, SUZANA DE SIQUEIRA; FUJITA, ANDRE; BUCKERIDGE, MARCOS SILVEIRA. BioNetStat: A Tool for Biological Networks Differential Analysis. FRONTIERS IN GENETICS, v. 10, JUN 21 2019. Web of Science Citations: 0.
RODRIGUES, JULIA DE SOUZA; RIBEIRO, FERNANDA LENITA; SATO, JOAO RICARDO; MESQUITA, RICKSON COELHO; BIAZOLI JUNIOR, CLAUDINEI EDUARDO. Identifying individuals using fNIRS-based cortical connectomes. BIOMEDICAL OPTICS EXPRESS, v. 10, n. 6, p. 2889-2897, JUN 1 2019. Web of Science Citations: 0.
SATO, JOAO RICARDO; BIAZOLI JR, CLAUDINEI EDUARDO; MOURA, LUCIANA MONTEIRO; CROSSLEY, NICOLAS; ZUGMAN, ANDRE; PICON, FELIPE ALMEIDA; HOEXTER, MARCELO QUEIROZ; AMARO JR, EDSON; MIGUEL, EURIPEDES CONSTANTINO; ROHDE, LUIS AUGUSTO; BRESSAN, RODRIGO AFFONSECA; JACKOWSKI, ANDREA PAROLIN. Association Between Fractional Amplitude of Low-Frequency Spontaneous Fluctuation and Degree Centrality in Children and Adolescents. BRAIN CONNECTIVITY, v. 9, n. 5, p. 379-387, JUN 1 2019. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.