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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 - Computing Methodologies and Techniques
Principal researcher:André Fujita
Grantee:André Fujita
Home Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Pesquisadores principais:
Helder Takashi Imoto Nakaya ; João Ricardo Sato
Assoc. researchers: Abner Cardoso Rodrigues Neto ; Alexandre Alarcon Steiner ; Alexandre Galvão Patriota ; Andrea Parolin Jackowski ; Ariel Mariano Silber ; Carlos Alberto Moreira Filho ; Carlos Eduardo Ferreira ; Claudinei Eduardo Biazoli Junior ; Cristina Gomes Fernandes ; 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 grant(s):19/22845-9 - Computational approaches with the objective to explore intra and cross-species interactions and their role in all domains of life, AP.R SPRINT
Associated scholarship(s):21/10289-4 - Implementation of efficient algorithms for network statistics, BP.IC
20/13595-6 - Analysis of cognitive, behavioral and structural neuroimaging evidences for the extreme male brain theory of autism, BP.MS
19/26284-1 - Building a biological knowledge graph via Wikidata with a focus on the Human Cell Atlas, BP.DR
+ associated scholarships 20/02415-7 - StatGraph 2.0 and Massive Open Online Course (MOOC), BP.PD
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 - associated scholarships


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)

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Scientific publications (39)
(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)
MARCOS ANTÔNIO MACÊDO; JOÃO RICARDO SATO; RODRIGO A. BRESSAN; PEDRO MARIO PAN. Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies. Revista Brasileira de Psiquiatria, . (14/50917-0, 18/04654-9, 18/21934-5)
SOARES JR, RAIMUNDO DA SILVA; LUKASOVA, KATERINA; CARTHERY-GOULART, MARIA TERESA; SATO, JOAO RICARDO. Student's Perspective and Teachers' Metacognition: Applications of Eye-Tracking in Education and Scientific Research in Schools. FRONTIERS IN PSYCHOLOGY, v. 12, . (19/25795-2, 18/04654-9, 18/21934-5)
SATO, JOAO RICARDO; BIAZOLI, CLAUDINEI EDUARDO; ZUGMAN, ANDRE; PAN, PEDRO MARIO; ARANTES BUENO, ANA PAULA; MOURA, LUCIANA MONTEIRO; GADELHA, ARY; PICON, FELIPE ALMEIDA; AMARO JR, EDSON; SALUM, GIOVANNI ABRAHAO; et al. Long-term stability of the cortical volumetric profile and the functional human connectome throughout childhood and adolescence. European Journal of Neuroscience, v. 54, n. 6, . (18/21934-5, 16/19376-9, 13/08531-5, 14/50917-0, 18/04654-9)
GARCIA-DIAS, RAFAEL; SCARPAZZA, CRISTINA; BAECKER, LEA; VIEIRA, SANDRA; PINAYA, WALTER H. L.; CORVIN, AIDEN; REDOLFI, ALBERTO; NELSON, BARNABY; CRESPO-FACORRO, BENEDICTO; MCDONALD, COLM; et al. Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners. NeuroImage, v. 220, . (18/21934-5, 18/04654-9)
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, . (09/09949-8, 13/08531-5, 14/50917-0, 18/21934-5, 18/04654-9)
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, . (18/21934-5, 18/04654-9)
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; et al. 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, . (16/04983-7, 13/08531-5, 18/21934-5, 14/50917-0, 18/04654-9)
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, . (14/50884-5, 18/21934-5, 16/13422-9, 15/21162-4, 08/57908-6)
BAECKER, LEA; DAFFLON, JESSICA; DA COSTA, PEDRO F.; GARCIA-DIAS, RAFAEL; VIEIRA, SANDRA; SCARPAZZA, CRISTINA; CALHOUN, VINCE D.; SATO, JOAO R.; MECHELLI, ANDREA; PINAYA, WALTER H. L.. Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data. Human Brain Mapping, v. 42, n. 8, . (18/21934-5, 18/04654-9)
REBELLO, KEILA; MOURA, LUCIANA M.; XAVIER, GABRIELA; SPINDOLA, LETICIA M.; CARVALHO, CAROLINA MUNIZ; HOEXTER, MARCELO QUEIROZ; GADELHA, ARY; PICON, FELIPE; PAN, PEDRO MARIO; ZUGMAN, ANDRE; et al. Association between spontaneous activity of the default mode network hubs and leukocyte telomere length in late childhood and early adolescence. JOURNAL OF PSYCHOSOMATIC RESEARCH, v. 127, . (13/08531-5, 18/21934-5, 14/50917-0, 14/07280-1, 18/04654-9)
GONZALEZ-DIAS, PATRICIA; LEE, EVA K.; SORGI, SARA; DE LIMA, DIOGENES S.; URBANSKI, ALYSSON H.; SILVEIRA, EDUARDO LV; NAKAYA, HELDER I.. Methods for predicting vaccine immunogenicity and reactogenicity. HUMAN VACCINES & IMMUNOTHERAPEUTICS, v. 16, n. 2, . (13/08216-2, 18/21934-5, 18/14933-2)
OKU, AMANDA YUMI AMBRIOLA; SATO, JOAO RICARDO. Predicting Student Performance Using Machine Learning in fNIRS Data. FRONTIERS IN HUMAN NEUROSCIENCE, v. 15, . (19/17907-5, 18/04654-9, 18/21934-5)
MENDES, SERGIO LEONARDO; LOPEZ PINAYA, WALTER HUGO; PAN, PEDRO; SATO, JOAO RICARDO. Estimating Gender and Age from Brain Structural MRI of Children and Adolescents: A 3D Convolutional Neural Network Multitask Learning Model. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, v. 2021, . (18/21934-5, 18/04654-9)
ARIAS-CARRASCO, RAUL; GIDDALURU, JEEVAN; CARDOZO, LUCAS E.; MARTINS, FELIPE; MARACAJA-COUTINHO, VINICIUS; NAKAYA, HELDER I.. OUTBREAK: a user-friendly georeferencing online tool for disease surveillance. Biological Research, v. 54, n. 1, . (18/14933-2, 13/08216-2, 19/16419-7, 18/21934-5, 17/50137-3)
BRANDAO, W. N.; DE OLIVEIRA, M. G.; ANDREONI, R. T.; NAKAYA, H.; FARIAS, A. S.; PERON, J. P. S.. Neuroinflammation at single cell level: What is new?. Journal of Leukocyte Biology, . (13/08216-2, 18/21934-5, 17/50137-3, 17/26170-0, 12/19278-6, 17/22504-1, 17/21363-5, 18/14933-2, 19/06372-3)
DA SILVA FERREIRA BARRETO, CANDIDA; ZIMEO MORAIS, GUILHERME AUGUSTO; VANZELLA, PATRICIA; SATO, JOAO RICARDO. Combining the intersubject correlation analysis and the multivariate distance matrix regression to evaluate associations between fNIRS signals and behavioral data from ecological experiments. Experimental Brain Research, v. 238, n. 10, . (18/21934-5, 18/04654-9)
TRAMBAIOLLI, LUCAS R.; TOSSATO, JULIANA; CRAVO, ANDRE M.; BIAZOLI, JR., CLAUDINEI E.; SATO, JOAO R.. Subject-independent decoding of affective states using functional near-infrared spectroscopy. PLoS One, v. 16, n. 1, . (18/21934-5, 18/04654-9, 15/17406-5, 17/05225-1)
PINTO, BRUNA G. G.; OLIVEIRA, ANTONIO E. R.; SINGH, YOUVIKA; JIMENEZ, LEANDRO; GONCALVES, ANDRE N. A.; OGAVA, RODRIGO L. T.; CREIGHTON, RACHEL; SCHATZMANN PERON, JEAN PIERRE; NAKAYA, I, HELDER. ACE2 Expression Is Increased in the Lungs of Patients With Comorbidities Associated With Severe COVID-19. Journal of Infectious Diseases, v. 222, n. 4, p. 556-563, . (12/19278-6, 17/50137-3, 18/21934-5, 18/14933-2, 13/08216-2)
GUZMAN, GROVER E. CASTRO; FUJITA, ANDRE. Convolution-based linear discriminant analysis for functional data classification. INFORMATION SCIENCES, v. 581, p. 469-478, . (18/17996-5, 18/21934-5, 20/01479-1)
MARCOS ANTÔNIO MACÊDO; JOÃO RICARDO SATO; RODRIGO A. BRESSAN; PEDRO MARIO PAN. Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies. Revista Brasileira de Psiquiatria, v. 44, n. 4, p. 420-433, . (18/21934-5, 18/04654-9, 14/50917-0)
RIBEIRO, ADELE HELENA; VIDAL, MACIEL CALEBE; SATO, JOAO RICARDO; FUJITA, ANDRE. Granger Causality among Graphs and Application to Functional Brain Connectivity in Autism Spectrum Disorder. Entropy, v. 23, n. 9, . (18/04654-9, 18/21934-5)
IWASHITA, ADRIANA SAYURI; RODRIGUES, DOUGLAS; GASTALDELLO, DANILO SINKITI; DE SOUZA, ANDRE NUNES; PAPA, JOAO PAULO. An incremental Optimum-Path Forest classifier and its application to non-technical losses identification. COMPUTERS & ELECTRICAL ENGINEERING, v. 95, . (14/12236-1, 19/07665-4, 18/21934-5, 17/02286-0, 13/07375-0)
DE SOUZA, RENATO WILLIAM R.; DE OLIVEIRA, JOAO VITOR CHAVES; PASSOS, JR., LEANDRO A.; DING, WEIPING; PAPA, JOAO P.; DE ALBUQUERQUE, VICTOR HUGO C.. A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. IEEE TRANSACTIONS ON FUZZY SYSTEMS, v. 28, n. 12, p. 3076-3086, . (14/12236-1, 17/25908-6, 13/07375-0, 18/21934-5, 16/19403-6)
FERNANDO ANDRADE; ASUKA NAKATA; NORIKO GOTOH; ANDRÉ FUJITA. Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer. GENETICS AND MOLECULAR BIOLOGY, v. 43, n. 1, . (18/21934-5, 16/13422-9, 15/01587-0)
BARRETO, CANDIDA; BRUNERI, GUILHERME DE ALBUQUERQUE; BROCKINGTON, GUILHERME; AYAZ, HASAN; SATO, JOAO RICARDO. A New Statistical Approach for fNIRS Hyperscanning to Predict Brain Activity of Preschoolers' Using Teacher's. FRONTIERS IN HUMAN NEUROSCIENCE, v. 15, . (18/21934-5, 18/04654-9)
SATO, JOAO RICARDO; BIAZOLI JUNIOR, CLAUDINEI EDUARDO; MEDEIROS DE ARAUJO, ELIDIANNE LAYANNE; RODRIGUES, JULIA DE SOUZA; ANDRADE, SUELLEN MARINHO. A guide for the use of fNIRS in microcephaly associated to congenital Zika virus infection. SCIENTIFIC REPORTS, v. 11, n. 1, . (18/04654-9, 18/21934-5, 20/13425-3)
WANG, JAQUELINE YU TING; WHITTLE, MARTIN R.; PUGA, RENATO DAVID; YAMBARTSEV, ANATOLY; FUJITA, ANDRE; NAKAYA, HELDER I.. Noninvasive prenatal paternity determination using microhaplotypes: a pilot study. BMC MEDICAL GENOMICS, v. 13, n. 1, . (12/19278-6, 18/21934-5)
CREIGHTON, RACHEL; SCHUCH, VIVIANE; URBANSKI, ALYSSON H.; GIDDALURU, JEEVAN; COSTA-MARTINS, ANDRE G.; NAKAYA, I, HELDER. Network vaccinology. SEMINARS IN IMMUNOLOGY, v. 50, . (18/14933-2, 17/27131-9, 13/08216-2, 18/21934-5)
SUGI AFONSO, LUIS CLAUDIO; RODRIGUES, DOUGLAS; PAPA, JOAO PAULO. Nature-inspired optimum-path forest. EVOLUTIONARY INTELLIGENCE, . (17/25908-6, 18/21934-5, 14/12236-1, 13/07375-0, 19/07665-4)
AGUIAR, RENATO S.; POHL, FABIO; MORAIS, GUILHERME L.; NOGUEIRA, FABIO C. S.; DE CARVALHO, JOSEANE B.; GUIDA, LETICIA; ARGE, LUIS W. P.; MELO, ADRIANA; MOREIRA, MARIA E. L.; CUNHA, DANIELA P.; et al. Molecular alterations in the extracellular matrix in the brains of newborns with congenital Zika syndrome. Science Signaling, v. 13, n. 635, . (13/08216-2, 12/19278-6, 18/21934-5, 17/50137-3, 18/14933-2)
AMBRIOLA OKU, AMANDA YUMI; ZIMEO MORAIS, GUILHERME AUGUSTO; ARANTES BUENO, ANA PAULA; FUJITA, ANDRE; SATO, JOAO RICARDO. Potential Confounders in the Analysis of Brazilian Adolescent's Health: A Combination of Machine Learning and Graph Theory. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, v. 17, n. 1, . (19/17907-5, 18/21934-5, 16/19376-9, 18/04654-9)
BUENO, A. P. A.; SATO, J. R.; HORNBERGER, M.. Eye tracking - The overlooked method to measure cognition in neurodegeneration?. Neuropsychologia, v. 133, . (18/21934-5, 17/23020-8, 16/19376-9, 18/04654-9)
PINAYA, WALTER H. L.; SCARPAZZA, CRISTINA; GARCIA-DIAS, RAFAEL; VIEIRA, SANDRA; BAECKER, LEA; DA COSTA, PEDRO F.; REDOLFI, ALBERTO; FRISONI, GIOVANNI B.; PIEVANI, MICHELA; CALHOUN, VINCE D.; et al. sing normative modelling to detect disease progression in mild cognitive impairment and Alzheimer's disease in a cross-sectional multi-cohort stud. SCIENTIFIC REPORTS, v. 11, n. 1, . (18/21934-5, 18/04654-9)
PERON, J. P. S.; NAKAYA, I, H.; SCHLINDWEIN, M. A. M.; GONCALVES, M. V. M.. COVID-19 Pandemic and Dysbiosis: Can the Ivermectin Hysteria Lead to an Increase of Autoimmune Neuroinflammatory Diseases?. CRITICAL REVIEWS IN IMMUNOLOGY, v. 40, n. 6, SI, p. 537-542, . (17/22504-1, 18/14933-2, 12/19278-6, 13/08216-2, 18/21934-5, 19/06372-3, 17/21363-5)
FUJITA, ANDRE; LIRA, EDUARDO SILVA; SANTOS, SUZANA DE SIQUEIRA; BANDO, SILVIA YUMI; SOARES, GABRIELA ELEUTERIO; TAKAHASHI, DANIEL YASUMASA. A semi-parametric statistical test to compare complex networks. JOURNAL OF COMPLEX NETWORKS, v. 8, n. 2, . (18/17996-5, 18/21934-5, 15/21162-4, 15/01587-0)
RODER, MATEUS; PASSOS, LEANDRO APARECIDO; DE ROSA, GUSTAVO H.; DE ALBUQUERQUE, VICTOR HUGO C.; PAPA, JOAO PAULO. Reinforcing learning in Deep Belief Networks through nature-inspired optimization. APPLIED SOFT COMPUTING, v. 108, . (19/07825-1, 18/21934-5, 17/25908-6, 19/07665-4, 19/02205-5, 13/07375-0, 14/12236-1)
GUZMAN, GROVER E. C.; STADLER, PETER F.; FUJITA, ANDRE. Efficient Laplacian spectral density computations for networks with arbitrary degree distributions. NETWORK SCIENCE, v. 9, n. 3, p. 312-327, . (18/21934-5)

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