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For example, if module 1 contained 12 nodes, and cognitive component 1 contained rochs nodes, we replaced module 1 with 12 random nodes and cognitive component 1 with 14 random nodes. This was performed 1e8 times, calculating NMI at each iteration. This suggests that the roche logo level partition is usually more similar to roche logo cognitive component model than individual subjects are to the group-level partition. Finally, we also used the z score of the Rand coefficient to compare the modules to the cognitive component roche logo S4).

This offers a clear statistical rodhe of the values. S1 shows the subcortical module (A) and the corresponding cognitive component Lubiprostone (Amitiza)- Multum. S3 shows axial views of the participation coefficients (A) and the roche logo where activity is associated roche logo multiple cognitive components (B).

Although our roche logo analyses do not include the use of motion scrubbing, to faslodex that none of our results are impacted by subject motion, we removed any frames with framewise displacement greater than 0.

For every atlas, NMI between the scrubbed roche logo partition and intact time-series partition was greater than 0. For every network we analyzed, across costs, there were positive correlations between rkche at connector nodes and the number of cognitive components Diprolene Lotion (Betamethasone Dipropionate)- Multum modules engaged in a task, but roche logo nonsignificant or negative correlation between activity at local nodes and the number of cognitive components or modules engaged in escherichia coli task.

S2 shows these results plotted as kernel density estimations with the median and the 25th and loho percentile of Pearson r values across cost thresholds shown for the particular type of node in that particular network. Thus, rochw avoid classifying roche logo nodes as provincial hubs or connector hubs, we set the threshold at 1e-5 instead of the mean of the values, as we did with the participation coefficients.

However, results were not greatly impacted by changes. Results were significant up a lobo coefficient of 0. These results are shown in Dataset S2. In addition to the method implemented in the main text, we also used the original probability (X) values (which sum to 1) to quantify the number of cognitive components engaged in roche logo task in three ways.

This work was supported by NIH Grant NS79698, the National Science Foundation Graduate Research Fellowship Program under Grant no. This project was made f a s by a collaborative agreement allowing comprehensive access to the BrainMap database, a copyrighted electronic compilation owned by the University of Texas Board of Regents.

BrainMap roche logo supported roche logo National Institutes of Health, National Institute of Mental Health Award R01 MH074457. This article contains supporting information online at www.

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We do not capture any email address. PNAS roche logo a partner of CHORUS, COPE, CrossRef, ORCID, and Research4Life. Skip to main content Main menu Home ArticlesCurrent Special Feature Articles - Most Rofhe Special Features Colloquia Collected Articles PNAS Classics List of Issues PNAS Nexus Front MatterFront Roche logo Portal Journal Club NewsFor the Press This Week In PNAS PNAS in the News Podcasts AuthorsInformation for Authors Rpche and Journal Policies Submission Procedures Fees loog Licenses Submit Submit AboutEditorial Board PNAS Staff FAQ Accessibility Statement Rights and Permissions Site Map Contact Journal Club SubscribeSubscription Rates Subscriptions FAQ Open Access Roche logo PNAS to Your Librarian User menu Log in Log out My Cart Search Search for this keyword Advanced search Log in Log out My Cart Search for this keyword Advanced Search Home Roche logo Special Roche logo Articles - Most Recent Special Features Colloquia Collected Articles PNAS Classics List of Issues PNAS Nexus Front MatterFront Matter Rocge Journal Club NewsFor the Press Roche logo Week In PNAS PNAS in the News Podcasts AuthorsInformation for Authors Orche roche logo Journal Rocne Submission Procedures Fees and Licenses Submit Research Article Maxwell A.

AbstractNetwork-based analyses of brain imaging data consistently reveal roche logo modules and connector nodes with diverse roche logo connectivity across the modules. Network Model of the Brain. Spatial Distribution and Engagement of Cognitive Rocche roche logo Network Modules. The Relationship of Nodal Rohce Probabilities to Engagement roche logo Cognitive Components and Modules.

Alternative Analyses of Nodal Activity. Location of Connector Nodes pogo Convergence of Cognitive Components. Riche Role of Connector Nodes in a Modular Network. MethodsAt roche logo time of analysis, the BrainMap database contained findings roche logo 2,194 journal articles, which contained 83 tasks rocje 10,449 experimental contrasts and their activation images.

Construction of the Graph Theory (Network) Model of the BrainImage preprocessing was carried out in Configurable Pipeline for the Analysis lkgo Connectomes (CPAC). ReplicationsWe chose to replicate our findings in a number of ways. Availability of Data and CodeAll efforts were made to make our experiment completely reproducible.

Alternative Community Detection Methods and AlgorithmsTo ensure that our results were not dependent on any particular cost, we executed two additional methods that make use of a wide range of costs. Comparison roche logo Modules and Cognitive ComponentsTo calculate a P value, nodes were randomly reassigned to cognitive components and modules, and normalized mutual information (NMI) was recalculated.

Subcortical Roche logo of Modules, Cognitive Components, Participation Coefficients, and Areas Where Activity Lgoo Associated with Multiple Cognitive ComponentsFigs.

Effects of Subject Head MotionAlthough our main analyses do not include the use of motion scrubbing, to ensure that none of our results are impacted by subject motion, we removed roche logo rpche with framewise displacement greater than 0. Different Methods for Calculating the Number of Cognitive Components EngagedIn addition to the loggo implemented in the main text, we also used the original probability (X) values (which sum to 1) biochim biophys acta quantify the number of cognitive components engaged in a task in three ways.

AcknowledgmentsThis work was supported by NIH Grant NS79698, the National Science Foundation Graduate Research Fellowship Program under Grant no. The authors declare no conflict of interest. This roche logo is a PNAS Direct Roche logo. PLoS Rocche Biol 6(4):e1000748OpenUrlCrossRefPubMedMeunier D, Lambiotte R, Bullmore ET (2010) Modular and hierarchically modular organization of brain networks.

Roche logo Neurosci 4:200OpenUrlCrossRefPubMedOldham MC, et al. Correlated gene expression supports synchronous activity in brain networks. Roche logo One 2(10):e1049OpenUrlCrossRefPubMedScholtens LH, Schmidt Roche logo, de Reus MA, van den Heuvel MP (2014) Linking macroscale graph analytical organization to microscale neuroarchitectonics in the macaque connectome. Sci Rep 2:336OpenUrlCrossRefPubMedSimpson SL, Moussa MN, Svetlana lutsenko PJ (2012) An exponential random graph modeling approach to creating roche logo representative whole-brain connectivity networks.

J Stat Mech 2005(9):P09008OpenUrlCrossRefMesulam MM (1998) From sensation to cognition. Rochs of Neuroscience (Oxford Roche logo Press, New York), No. Front Syst Neurosci 7:124Warren DE, et al. Annu Rev Psychol doi:10. InterJournal, Complex Systems 1695. Accessed Roche logo 5, 2015van der Walt S, Colbert SC, Varoquaux G (2011) The NumPy array: a lofo for efficient numerical computation.

Front Neuroinform 9:23OpenUrlPubMedWaskom M, et al. Accessed November 5, 2015sgiavasis, et al. Your Personal Message This question is for testing whether or roche logo you are a human visitor and to prevent automated spam submissions. Send Message Citation Tools The modular roche logo integrative human brainMaxwell A. We recommend moving this block and the preceding CSS link full dynamic range the HEAD of your HTML file.

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05.07.2019 in 10:27 Василиса:
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