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GMAC: A Matlab toolbox for spectral Granger causality analysis of fMRI data

dc.contributor.authorTana, Maria Gabriella
dc.contributor.authorSclocco, Roberta
dc.contributor.authorBianchi, Anna Maria
dc.date.accessioned2022-02-18T09:52:59Z
dc.date.available2022-02-18T09:52:59Z
dc.date.issued2012
dc.identifier.citationTana M. G. , Sclocco R., Bianchi A. M. , "GMAC: A Matlab toolbox for spectral Granger causality analysis of fMRI data", COMPUTERS IN BIOLOGY AND MEDICINE, cilt.42, sa.10, ss.943-956, 2012
dc.identifier.issn0010-4825
dc.identifier.otherav_679953d0-15d8-4a4e-9a84-326e56af5acf
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/178162
dc.identifier.urihttps://doi.org/10.1016/j.compbiomed.2012.07.003
dc.description.abstractInvestigation of causal interactions within brain networks using Granger causality analysis (GCA) is a key challenge in studying neural activity on the basis of functional magnetic resonance imaging (fMRI). The article describes an open-source software toolbox GMAC (Granger multivariate autoregressive connectivity) implementing multivariate spectral GCA. Available features are: fMRI data importing/exporting, network nodes definition, time series preprocessing, multivariate autoregressive modeling, spectral Granger causality indexes estimation, statistical significance assessment using surrogate data, network analysis and visualization of connectivity results. All functions have been integrated into a user-friendly graphical interface developed in the Matlab environment, easily accessible to both technical and clinical users. (C) 2012 Elsevier Ltd. All rights reserved.
dc.language.isoeng
dc.subjectTemel Bilimler
dc.subjectMühendislik ve Teknoloji
dc.subjectGeneral Engineering
dc.subjectComputers in Earth Sciences
dc.subjectComputer Graphics and Computer-Aided Design
dc.subjectGeneral Computer Science
dc.subjectEngineering (miscellaneous)
dc.subjectBiomedical Engineering
dc.subjectComputer Science (miscellaneous)
dc.subjectBioengineering
dc.subjectComputer Science Applications
dc.subjectBiochemistry (medical)
dc.subjectPhysical Sciences
dc.subjectHealth Sciences
dc.subjectBİYOLOJİ
dc.subjectBiyoloji ve Biyokimya
dc.subjectYaşam Bilimleri (LIFE)
dc.subjectYaşam Bilimleri
dc.subjectBilgisayar Bilimi
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.subjectMühendislik
dc.subjectMATEMATİKSEL VE ​​BİLGİSAYAR BİYOLOJİSİ
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectTemel Tıp Bilimleri
dc.subjectBiyokimya
dc.subjectTıbbi Biyoloji
dc.subjectBilgisayar Bilimleri
dc.subjectBilgisayar Grafiği
dc.subjectBiyomedikal Mühendisliği
dc.subjectBİLGİSAYAR BİLİMİ, İNTERDİSİPLİNER UYGULAMALAR
dc.subjectBiyoinformatik
dc.titleGMAC: A Matlab toolbox for spectral Granger causality analysis of fMRI data
dc.typeMakale
dc.relation.journalCOMPUTERS IN BIOLOGY AND MEDICINE
dc.contributor.departmentPolytechnic University of Milan , ,
dc.identifier.volume42
dc.identifier.issue10
dc.identifier.startpage943
dc.identifier.endpage956
dc.contributor.firstauthorID3380417


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