TY - JOUR
T1 - Test-Retest Reliability of the Default Mode Network in a Multi-Centric fMRI Study of Healthy Elderly: Effects of Data-Driven Physiological Noise Correction Techniques
AU - Marchitelli, Rocco
AU - Minati, Ludovico
AU - Marizzoni, Moira
AU - Bosch, Beatriz
AU - Bartres-Faz, David
AU - Mueller, Bernhard W.
AU - Wiltfang, Jens
AU - Fiedler, Ute
AU - Roccatagliata, Luca
AU - Picco, Agnese
AU - Nobili, Flavio
AU - Blin, Oliver
AU - Bombois, Stephanie
AU - Lopes, Renaud
AU - Bordet, Regis
AU - Sein, Julien
AU - Ranjeva, Jean-Philippe
AU - Didic, Mira
AU - Gros-Dagnac, Helene
AU - Payoux, Pierre
AU - Zoccatelli, Giada
AU - Alessandrini, Franco
AU - Beltramello, Alberto
AU - Bargallo, Nuria
AU - Ferretti, Antonio
AU - Caulo, Massimo
AU - Aiello, Marco
AU - Cavaliere, Carlo
AU - Soricelli, Andrea
AU - Parnetti, Lucilla
AU - Tarducci, Roberto
AU - Floridi, Piero
AU - Tsolaki, Magda
AU - Constantinidis, Manos
AU - Drevelegas, Antonios
AU - Rossini, Paolo Maria
AU - Marra, Camillo
AU - Schoenknecht, Peter
AU - Hensch, Tilman
AU - Hoffmann, Karl-Titus
AU - Kuijer, Joost P.
AU - Visser, Pieter Jelle
AU - Barkhof, Frederik
AU - Frisoni, Giovanni B.
AU - Jovicich, Jorge
PY - 2016/6
Y1 - 2016/6
N2 - 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 (ICC50.67) 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.
AB - 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 (ICC50.67) 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.
KW - task-free fMRI
KW - resting-state networks
KW - default mode network
KW - physiological noise correction
KW - multisite
KW - test-retest reliability
KW - independent component analysis
U2 - 10.1002/hbm.23157
DO - 10.1002/hbm.23157
M3 - Article
C2 - 26990928
SN - 1065-9471
VL - 37
SP - 2114
EP - 2132
JO - Human Brain Mapping
JF - Human Brain Mapping
IS - 6
ER -