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Measuring functional connectivity from fMRI is important in understandingprocessing in cortical networks. However, because brain's connection pattern iscomplex, currently used methods are prone to produce false connections. Weintroduce here a new method that uses derivative for estimating functionalconnectivity. Using simulations, we benchmarked our method with other commonlyused methods. Our method achieves better results in complex networksimulations. This new method provides an alternative way to estimate functionalconnectivity.

Differential covariance: A new method to estimate functional connectivity in fMRI