Comput Math Methods Med - How the statistical validation of functional connectivity patterns can prevent erroneous definition of small-world properties of a brain connectivity network.

Tópicos

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Resumo

The application of Graph Theory to the brain connectivity patterns obtained from the analysis of neuroelectrical signals has provided an important step to the interpretation and statistical analysis of such functional networks. The properties of a network are derived from the adjacency matrix describing a connectivity pattern obtained by one of the available functional connectivity methods. However, no common procedure is currently applied for extracting the adjacency matrix from a connectivity pattern. To understand how the topographical properties of a network inferred by means of graph indices can be affected by this procedure, we compared one of the methods extensively used in Neuroscience applications (i.e. fixing the edge density) with an approach based on the statistical validation of achieved connectivity patterns. The comparison was performed on the basis of simulated data and of signals acquired on a polystyrene head used as a phantom. The results showed (i) the importance of the assessing process in discarding the occurrence of spurious links and in the definition of the real topographical properties of the network, and (ii) a dependence of the small world properties obtained for the phantom networks from the spatial correlation of the neighboring electrodes.

Resumo Limpo

applic graph theori brain connect pattern obtain analysi neuroelectr signal provid import step interpret statist analysi function network properti network deriv adjac matrix describ connect pattern obtain one avail function connect method howev common procedur current appli extract adjac matrix connect pattern understand topograph properti network infer mean graph indic can affect procedur compar one method extens use neurosci applic ie fix edg densiti approach base statist valid achiev connect pattern comparison perform basi simul data signal acquir polystyren head use phantom result show import assess process discard occurr spurious link definit real topograph properti network ii depend small world properti obtain phantom network spatial correl neighbor electrod

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