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. Marchitelli, R., Minati, L., Marizzoni, M., Bosch, B., Bartrés-Faz, D., Müller, B. W., Wiltfang, J., Fiedler, U., Roccatagliata, L., Picco, A., Nobili, F., Blin, O., Bombois, S., Lopes, R., Bordet, R., Sein, J., Ranjeva, J., Didic, M., Gros-Dagnac, H., Payoux, P., Zoccatelli, G., Alessandrini, F., Beltramello, A., Bargalló, N., Ferretti, A., Caulo, M., Aiello, M., Cavaliere, C., Soricelli, A., Parnetti, L., Tarducci, R., Floridi, P., Tsolaki, M., Constantinidis, M., Drevelegas, A., Rossini, P. M., Marra, C., Schönknecht, P., Hensch, T., Hoffmann, K., Kuijer, J. P., Visser, P. J., Barkhof, F., Frisoni, G. B., & Jovicich, J. Human Brain Mapping, 37(6):2114–2132, June, 2016. doi abstract bibtex 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. © 2016 Wiley Periodicals, Inc.
@article{marchitelli_test-retest_2016,
title = {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},
volume = {37},
issn = {1097-0193},
shorttitle = {Test-retest reliability of the default mode network in a multi-centric {fMRI} study of healthy elderly},
doi = {10.1002/hbm.23157},
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. © 2016 Wiley Periodicals, Inc.},
language = {eng},
number = {6},
journal = {Human Brain Mapping},
author = {Marchitelli, Rocco and Minati, Ludovico and Marizzoni, Moira and Bosch, Beatriz and Bartrés-Faz, David and Müller, Bernhard W. and Wiltfang, Jens and Fiedler, Ute and Roccatagliata, Luca and Picco, Agnese and Nobili, Flavio and Blin, Oliver and Bombois, Stephanie and Lopes, Renaud and Bordet, Régis and Sein, Julien and Ranjeva, Jean-Philippe and Didic, Mira and Gros-Dagnac, Hélène and Payoux, Pierre and Zoccatelli, Giada and Alessandrini, Franco and Beltramello, Alberto and Bargalló, Núria and Ferretti, Antonio and Caulo, Massimo and Aiello, Marco and Cavaliere, Carlo and Soricelli, Andrea and Parnetti, Lucilla and Tarducci, Roberto and Floridi, Piero and Tsolaki, Magda and Constantinidis, Manos and Drevelegas, Antonios and Rossini, Paolo Maria and Marra, Camillo and Schönknecht, Peter and Hensch, Tilman and Hoffmann, Karl-Titus and Kuijer, Joost P. and Visser, Pieter Jelle and Barkhof, Frederik and Frisoni, Giovanni B. and Jovicich, Jorge},
month = jun,
year = {2016},
pmid = {26990928},
pmcid = {PMC6867386},
keywords = {Aged, Humans, Magnetic Resonance Imaging, Female, Male, Middle Aged, Retrospective Studies, Brain, Longitudinal Studies, Reproducibility of Results, Regression Analysis, Brain Mapping, Neural Pathways, default mode network, independent component analysis, multisite, physiological noise correction, Rest, resting-state networks, task-free fMRI, test-retest reliability},
pages = {2114--2132}
}
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B.","Jovicich, J."],"bibdata":{"bibtype":"article","type":"article","title":"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","volume":"37","issn":"1097-0193","shorttitle":"Test-retest reliability of the default mode network in a multi-centric fMRI study of healthy elderly","doi":"10.1002/hbm.23157","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%. 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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. 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Hum Brain Mapp 37:2114-2132, 2016. © 2016 Wiley Periodicals, Inc.},\n\tlanguage = {eng},\n\tnumber = {6},\n\tjournal = {Human Brain Mapping},\n\tauthor = {Marchitelli, Rocco and Minati, Ludovico and Marizzoni, Moira and Bosch, Beatriz and Bartrés-Faz, David and Müller, Bernhard W. and Wiltfang, Jens and Fiedler, Ute and Roccatagliata, Luca and Picco, Agnese and Nobili, Flavio and Blin, Oliver and Bombois, Stephanie and Lopes, Renaud and Bordet, Régis and Sein, Julien and Ranjeva, Jean-Philippe and Didic, Mira and Gros-Dagnac, Hélène and Payoux, Pierre and Zoccatelli, Giada and Alessandrini, Franco and Beltramello, Alberto and Bargalló, Núria and Ferretti, Antonio and Caulo, Massimo and Aiello, Marco and Cavaliere, Carlo and Soricelli, Andrea and Parnetti, Lucilla and Tarducci, Roberto and Floridi, Piero and Tsolaki, Magda and Constantinidis, Manos and Drevelegas, Antonios and Rossini, Paolo Maria and Marra, Camillo and Schönknecht, Peter and Hensch, Tilman and Hoffmann, Karl-Titus and Kuijer, Joost P. and Visser, Pieter Jelle and Barkhof, Frederik and Frisoni, Giovanni B. and Jovicich, Jorge},\n\tmonth = jun,\n\tyear = {2016},\n\tpmid = {26990928},\n\tpmcid = {PMC6867386},\n\tkeywords = {Aged, Humans, Magnetic Resonance Imaging, Female, Male, Middle Aged, Retrospective Studies, Brain, Longitudinal Studies, Reproducibility of Results, Regression Analysis, Brain Mapping, Neural Pathways, default mode network, independent component analysis, multisite, physiological noise correction, Rest, resting-state networks, task-free fMRI, test-retest reliability},\n\tpages = {2114--2132}\n}\n\n","author_short":["Marchitelli, R.","Minati, L.","Marizzoni, M.","Bosch, B.","Bartrés-Faz, D.","Müller, B. 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