An Automated Approach to Determining Functional Areas in the Brain using Resting-State fMRI

An Automated Approach to Determining Functional Areas in the Brain using Resting-State fMRI

Methods We used a subset of a dataset previously reported in an examination of RSFC test-retest reliability (Shehzad et al., in press). In further analyses we will (1) compare the different clustering methods, (2) assess the reproducibility of cluster solutions, and (3) implement a method of detecti...

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Veröffentlicht in:NeuroImage (Orlando, Fla.) Fla.), 2009-07, Vol.47, p.S83-S83
Hauptverfasser: Shehzad, Z, Kelly, AMC, Reiss, PT, Margulies, DS, Lee, SH, Petkova, E, Biswal, BB, Castellanos, FX, Petrides, M, Milham, MP
Format: Artikel
Sprache:eng
Schlagworte:
Automation
Methods
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Zusammenfassung:Methods We used a subset of a dataset previously reported in an examination of RSFC test-retest reliability (Shehzad et al., in press). In further analyses we will (1) compare the different clustering methods, (2) assess the reproducibility of cluster solutions, and (3) implement a method of detecting outliers and transition zones.
ISSN:1053-8119
1095-9572
DOI:10.1016/S1053-8119(09)70605-6