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Article

Probabilistic thresholding of functional connectomes: application to schizophrenia

2017-12-14

Abstract excerpt

Functional connectomes are commonly analysed as sparse graphs, constructed by thresholding cross-correlations between regional neurophysiological signals. Thresholding generally retains the strongest edges (correlations), either by retaining edges surpassing a given absolute weight, or by constraining the edge density. The latter (more widely used) method risks inclusion of false positive edges at high edge densit...

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Literature Corpus work
e5f3c12f-c271-55a8-b78b-426be78c119b
DOI
10.1101/233510
Open publication

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Probabilistic thresholding of functional connectomes: application to schizophreniaDOI 10.1101/233510
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