Point-Process Deconvolution of fMRI BOLD Signal Reveals Effective Connectivity Alterations in Chronic Pain Patients.
作者： Guo-Rong Wu , Daniele Marinazzo
DOI: 10.1007/S10548-014-0404-4
关键词:
摘要: 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 novel method, based on blind deconvolution technique, used to analyze potential changes due chronic pain in matrix's effective connectivity. The approach able deconvolve hemodynamic response function neural events, i.e., absence explicit onset timings, and evaluate transfer between two regions joint probability occurrence such events. method revealed patients exhibit insula's connectivity which relevant understand overall impact function.
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