Journal article

Connectome sensitivity or specificity: which is more important?

Andrew Zalesky, Alex Fornito, Luca Cocchi, Leonardo L Gollo, Martijn P van den Heuvel, Michael Breakspear



Connectomes with high sensitivity and high specificity are unattainable with current axonal fiber reconstruction methods, particularly at the macro-scale afforded by magnetic resonance imaging. Tensor-guided deterministic tractography yields sparse connectomes that are incomplete and contain false negatives (FNs), whereas probabilistic methods steered by crossing-fiber models yield dense connectomes, often with low specificity due to false positives (FPs). Densely reconstructed probabilistic connectomes are typically thresholded to improve specificity at the cost of a reduction in sensitivity. What is the optimal tradeoff between connectome sensitivity and specificity? We show empirically an..

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University of Melbourne Researchers


Awarded by Australian National Health and Medical Research Council

Awarded by Australian Research Council

Awarded by Netherlands Organization for Scientific Research

Funding Acknowledgements

A.Z., A.F., L.C., L.L.H and M.B. are supported by the Australian National Health and Medical Research Council (grant identifiers: 1050504, 1066779, 1047648, 1037196, 1103252 and 1099082) and the Australian Research Council (ID: FT130100589, CE140100007). M.P.vdH. is supported by a VENI (451-12-001) grant from the Netherlands Organization for Scientific Research and a fellowship from MQ.