000167789 001__ 167789
000167789 005__ 20190316235157.0
000167789 0247_ $$2doi$$a10.1371/journal.pone.0023009
000167789 022__ $$a1932-6203
000167789 02470 $$2ISI$$a000293561200042
000167789 037__ $$aARTICLE
000167789 245__ $$aAdaptive Strategy for the Statistical Analysis of Connectomes
000167789 269__ $$a2011
000167789 260__ $$bPublic Library of Science$$c2011
000167789 336__ $$aJournal Articles
000167789 520__ $$aWe study an adaptive statistical approach to analyze brain networks represented by brain connection matrices of interregional connectivity (connectomes). Our approach is at a middle level between a global analysis and single connections analysis by considering subnetworks of the global brain network. These subnetworks represent either the inter-connectivity between two brain anatomical regions or by the intra-connectivity within the same brain anatomical region. An appropriate summary statistic, that characterizes a meaningful feature of the subnetwork, is evaluated. Based on this summary statistic, a statistical test is performed to derive the corresponding p-value. The reformulation of the problem in this way reduces the number of statistical tests in an orderly fashion based on our understanding of the problem. Considering the global testing problem, the p-values are corrected to control the rate of false discoveries. Finally, the procedure is followed by a local investigation within the significant subnetworks. We contrast this strategy with the one based on the individual measures in terms of power. We show that this strategy has a great potential, in particular in cases where the subnetworks are well defined and the summary statistics are properly chosen. As an application example, we compare structural brain connection matrices of two groups of subjects with a 22q11.2 deletion syndrome, distinguished by their IQ scores.
000167789 6531_ $$aMultiple comparisons
000167789 6531_ $$aHuman brain connectivity
000167789 6531_ $$aBrain networks
000167789 6531_ $$aDiffusion MRI
000167789 6531_ $$aBonferroni
000167789 6531_ $$aLTS5
000167789 700__ $$0242939$$g120480$$aMeskaldji, Djalel Eddine
000167789 700__ $$aOttet, Marie-Christine
000167789 700__ $$aCammoun, Leila
000167789 700__ $$aHagmann, Patric
000167789 700__ $$aMeuli, Reto
000167789 700__ $$aEliez, Stephan
000167789 700__ $$0240323$$g115534$$aThiran, Jean-Philippe
000167789 700__ $$aMorgenthaler, Stephan$$g105911$$0241889
000167789 773__ $$j6$$tPlos One$$k8$$qe23009
000167789 8564_ $$uhttps://infoscience.epfl.ch/record/167789/files/journal.pone.0023009.pdf$$zn/a$$s585009$$yPublisher's version
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000167789 909C0 $$0252209$$pSTAP$$xU10127
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000167789 917Z8 $$x120480
000167789 937__ $$aEPFL-ARTICLE-167789
000167789 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000167789 980__ $$aARTICLE