Open AccessTest‐retest reliability of the default mode network in a multi‐centric f MRI study of healthy elderly: Effects of data‐driven physiological noise correction techniques
Author(s) -
Marchitelli Rocco,
Minati Ludovico,
Marizzoni Moira,
Bosch Beatriz,
BartrésFaz David,
Müller Bernhard W.,
Wiltfang Jens,
Fiedler Ute,
Roccatagliata Luca,
Picco Agnese,
Nobili Flavio,
Blin Oliver,
Bombois Stephanie,
Lopes Renaud,
Bordet Régis,
Sein Julien,
Ranjeva JeanPhilippe,
Didic Mira,
GrosDagnac Hélène,
Payoux Pierre,
Zoccatelli Giada,
Alessandrini Franco,
Beltramello Alberto,
Bargalló Núria,
Ferretti Antonio,
Caulo Massimo,
Aiello Marco,
Cavaliere Carlo,
Soricelli Andrea,
Parnetti Lucilla,
Tarducci Roberto,
Floridi Piero,
Tsolaki Magda,
Constantinidis Manos,
Drevelegas Antonios,
Rossini Paolo Maria,
Marra Camillo,
Schönknecht Peter,
Hensch Tilman,
Hoffmann KarlTitus,
Kuijer Joost P.,
Visser Pieter Jelle,
Barkhof Frederik,
Frisoni Giovanni B.,
Jovicich Jorge
Publication year - 2016
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.23157
Subject(s) - default mode network , reproducibility , reliability (semiconductor) , psychology , audiology , resting state fmri , consistency (knowledge bases) , functional connectivity , statistics , artificial intelligence , medicine , neuroscience , computer science , mathematics , power (physics) , physics , quantum mechanics
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.