Frequency Domain Connectivity Identification: An Application of Partial Directed Coherence in fMRI

Autor(es)

Sato, Joao R. ^{[1, 2]} ; Takahashi, Daniel Y. ^{[2, 3]} ; Arcuri, Silvia M. ^[4] ; Sameshima, Koichi ^{[2, 3]} ; Morettin, Pedro A. ^[1] ; Baccala, Luiz A. ^{[3, 5]}

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Inst Math & Stat, Dept Stat, BR-05508 Sao Paulo - Brazil

^[2] Univ Sao Paulo, Sch Med, Dept Radiol, NIF LIM44, BR-05508 Sao Paulo - Brazil

^[3] Univ Sao Paulo, Bioinformat Grad Program, BR-05508 Sao Paulo - Brazil

^[4] Kings Coll London, Inst Psychiat, Neuroimaging Sect, London - England

^[5] Univ Sao Paulo, Escola Politecn, Dept Telecommun & Control Engn, BR-05508 Sao Paulo - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Human Brain Mapping; v. 30, n. 2, p. 452-461, Feb. 2009.
• Área do conhecimento: Ciências da Saúde - Medicina
• Citações Web of Science: 80
• Assunto(s): Radiologia Mapeamento encefálico Eletroencefalografia Percepção da fala Comportamento verbal Imagem por ressonância magnética Processamento de imagem assistida por computador Algoritmos para imagens

Resumo

Functional magnetic resonance imaging (fMRI) has become an important tool in Neuroscience due to its noninvasive and high spatial resolution properties compared to other methods like PET or EEG. Characterization of the neural connectivity has been the aim of several cognitive researches, as the interactions among cortical areas lie at the heart of many brain dysfunctions and mental disorders. Several methods like correlation analysis, structural equation modeling, and dynamic causal models have been proposed to quantify connectivity strength. An important concept related to connectivity modeling is Granger causality, which is one of the most popular definitions for the measure of directional dependence between time series. In this article, we propose the application of the partial directed coherence (PDC) for the connectivity analysis of multisubject fMRI data using multivariate bootstrap. PDC is a frequency domain counterpart of Granger causality and has become a very prominent tool in EEG studies. The achieved frequency decomposition of connectivity is useful in separating interactions from neural modules from those originating in scanner noise, breath, and heart beating. Real fMRI dataset of six subjects executing a language processing protocol was used for the analysis of connectivity. (AU)

• Processo FAPESP: 03/10105-2 - Séries temporais, análise de dependência e aplicações em atuária e finanças
• Beneficiário: Pedro Alberto Morettin
• Modalidade de apoio: Auxílio à Pesquisa - Programa PRONEX - Temático
• Processo FAPESP: 05/56464-9 - Centro de Imagem em Neurociências da Faculdade de Medicina da Universidade de São Paulo
• Beneficiário: Giovanni Guido Cerri
• Modalidade de apoio: Auxílio à Pesquisa - Programa CINAPCE - Temático