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

Rocco Marchitelli (1) , Ludovico Minati (1) , Moira Marizzoni (2) , Beatriz Bosch (3) , David Bartrés-Faz (4, 3) , Bernhard W. Mueller (5) , Jens Wiltfang (5) , Ute Fiedler (5) , Luca Roccatagliata (6, 7) , Agnese Picco (7) , Flavio Nobili (8) , Oliver Blin (9) , Stéphanie Bombois (10) , Renaud Lopes (11) , Regis Bordet (12) , Julien Sein (13) , Jean-Philippe Ranjeva (13) , Mira Didic (14) , Helene Gros-Dagnac (15) , Pierre Payoux (15, 16) , Giada Zoccatelli (17) , Franco Alessandrini (17) , Alberto Beltramello (18) , Nuria Bargallo (19) , Antonio Ferretti (20) , Massimo Caulo (20) , Marco Aiello (21) , Carlo Cavaliere (21) , Andrea Soricelli (21) , Lucilla Parnetti (22) , Roberto Tarducci (23) , Piero Floridi (23) , Magda Tsolaki (24) , Manos Constantinidis (25) , Antonios Drevelegas (25) , Paolo Maria Rossini (26, 27) , Camillo Marra (28) , Peter Schoenknecht (29) , Tilman Hensch (29) , Karl-Titus Hoffmann (29) , Joost P. Kuijer , Pieter Jelle Visser (30) , Frederik Barkhof (31) , Giovanni B. Frisoni (32) , Jorge Jovicich (1)

1 UNITN - Università degli Studi di Trento = University of Trento
2 IRCCS Fatebenefratelli - Brescia
3 IDIBAPS - Institut d'Investigacions Biomèdiques August Pi i Sunyer
4 Departament de Psiquiatria i Psicobiologia Clinica
5 Universität Duisburg-Essen = University of Duisburg-Essen [Essen]
6 Magnetic Resonance Research Centre on Nervous System Diseases [Genova]
7 UniGe - Università degli studi di Genova = University of Genoa
8 Clinical Neurophysiology Service, Dept of Endocrinological and Metabolic Sciences, University of Ge
9 INT - Institut de Neurosciences de la Timone
10 JPArc - Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer - U837
11 JPL - Jet Propulsion Laboratory
12 Metacohorts Consortium
13 CRMBM - Centre de résonance magnétique biologique et médicale
14 IM2A - Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre]
15 ICHN - Imagerie cérébrale et handicaps neurologiques
16 Service de Médecine Nucléaire - Pierre-Paul Riquet [CHU Toulouse]
17 University Hospital of Verona
18 Service of Neuroradiology [borgo trento]
19 Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)
20 Ud'A - Università degli studi "G. d'Annunzio" Chieti-Pescara [Chieti-Pescara]
21 SDN - Istituto di Ricerca Diagnostica e Nucleare
22 UNIPG - Università degli Studi di Perugia = University of Perugia
23 Perugia General Hospital
24 3rd Department of Neurology
25 Interbalkan Medical Center of Thessaloniki
26 Casa di Cura SAN RAFFAELE Cassino e IRCCS SAN RAFFAELE PISANA
27 Clinical Neurology
28 Unicatt - Università cattolica del Sacro Cuore = Catholic University of the Sacred Heart [Roma]
29 University Hospital Leipzig = Universitätsklinikum Leipzig
30 Department of Psychiatry and Neuropsychology, University of Maastricht
31 VU University Medical Center [Amsterdam]
32 IRCCS San Giovanni, Laboratory of Epidemiology and Neuroimaging, Brescia

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. (C) 2016 Wiley Periodicals, Inc.

Domaines: Neurosciences

Rocco Marchitelli, Ludovico Minati, Moira Marizzoni, Beatriz Bosch, David Bartrés-Faz, et al.. 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. Human Brain Mapping, 2016, 37 (6), pp.2114-2132. ⟨10.1002/hbm.23157⟩. ⟨hal-01431268⟩