| Literature DB >> 26990928 |
Rocco Marchitelli1, Ludovico Minati1,2, Moira Marizzoni3, Beatriz Bosch4, David Bartrés-Faz5, Bernhard W Müller6, Jens Wiltfang6,7, Ute Fiedler6, Luca Roccatagliata8,9, Agnese Picco10, Flavio Nobili10, Oliver Blin11, Stephanie Bombois12, Renaud Lopes12, Régis Bordet12, Julien Sein13, Jean-Philippe Ranjeva13, Mira Didic14,15, Hélène Gros-Dagnac16,17, Pierre Payoux16,17, Giada Zoccatelli18, Franco Alessandrini18, Alberto Beltramello18, Núria Bargalló19, Antonio Ferretti20,21, Massimo Caulo20,21, Marco Aiello22, Carlo Cavaliere22, Andrea Soricelli22,23, Lucilla Parnetti24, Roberto Tarducci25, Piero Floridi26, Magda Tsolaki27, Manos Constantinidis28, Antonios Drevelegas28,29, Paolo Maria Rossini30,31, Camillo Marra32, Peter Schönknecht33, Tilman Hensch33, Karl-Titus Hoffmann34, Joost P Kuijer35, Pieter Jelle Visser36,37, Frederik Barkhof36, Giovanni B Frisoni3,38, Jorge Jovicich1.
Abstract
Understanding how to reduce the influence of physiological noise in resting state fMRI data is important for the interpretation of functional brain connectivity. Limited data is currently available to assess the performance of physiological noise correction techniques, in particular when evaluating longitudinal changes in the default mode network (DMN) of healthy elderly participants. In this 3T harmonized multisite fMRI study, we investigated how different retrospective physiological noise correction (rPNC) methods influence the within-site test-retest reliability and the across-site reproducibility consistency of DMN-derived measurements across 13 MRI sites. Elderly participants were scanned twice at least a week apart (five participants per site). The rPNC methods were: none (NPC), Tissue-based regression, PESTICA and FSL-FIX. The DMN at the single subject level was robustly identified using ICA methods in all rPNC conditions. The methods significantly affected the mean z-scores and, albeit less markedly, the cluster-size in the DMN; in particular, FSL-FIX tended to increase the DMN z-scores compared to others. Within-site test-retest reliability was consistent across sites, with no differences across rPNC methods. The absolute percent errors were in the range of 5-11% for DMN z-scores and cluster-size reliability. DMN pattern overlap was in the range 60-65%. In particular, no rPNC method showed a significant reliability improvement relative to NPC. However, FSL-FIX and Tissue-based physiological correction methods showed both similar and significant improvements of reproducibility consistency across the consortium (ICC = 0.67) for the DMN z-scores relative to NPC. Overall these findings support the use of rPNC methods like tissue-based or FSL-FIX to characterize multisite longitudinal changes of intrinsic functional connectivity. Hum Brain Mapp 37:2114-2132, 2016.Entities:
Keywords: default mode network; independent component analysis; multisite; physiological noise correction; resting-state networks; task-free fMRI; test-retest reliability
Mesh：
Year: 2016 PMID： 26990928 PMCID： PMC6867386 DOI： 10.1002/hbm.23157
Source DB: PubMed Journal: Hum Brain Mapp ISSN： 1065-9471 Impact factor: 5.038