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Brain Topography

, Volume 28, Issue 4, pp 541–547 | Cite as

Point-Process Deconvolution of fMRI BOLD Signal Reveals Effective Connectivity Alterations in Chronic Pain Patients

  • Guo-Rong Wu
  • Daniele Marinazzo
Original Paper

Abstract

It is now recognized that important information can be extracted from the brain spontaneous activity, as exposed by recent analysis using a repertoire of computational methods. In this context a novel method, based on a blind deconvolution technique, is used to analyze potential changes due to chronic pain in the brain pain matrix’s effective connectivity. The approach is able to deconvolve the hemodynamic response function from spontaneous neural events, i.e., in the absence of explicit onset timings, and to evaluate information transfer between two regions as a joint probability of the occurrence of such spontaneous events. The method revealed that the chronic pain patients exhibit important changes in the insula’s effective connectivity which can be relevant to understand the overall impact of chronic pain on brain function.

Keywords

Point process BOLD deconvolution Effective connectivity Granger causality Chronic pain 

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Faculty of Psychology and Educational Sciences, Department of Data AnalysisGhent UniversityGhentBelgium
  2. 2.Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduChina

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