Longitudinal reproducibility of default-mode network connectivity in healthy elderly participants: A multicentric resting-state fMRI study
To date, limited data are available regarding the inter-site consistency of test–retest reproducibility of functional connectivity measurements, in particular with regard to integrity of the Default Mode Network (DMN) in elderly participants. We implemented a harmonized resting-state fMRI protocol o...
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| Published in: | NeuroImage (Orlando, Fla.) Vol. 124; no. Pt A; pp. 442 - 454 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
Elsevier Inc
01.01.2016
Elsevier Limited Elsevier |
| Subjects: | |
| ISSN: | 1053-8119, 1095-9572, 1095-9572 |
| Online Access: | Get full text |
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| Abstract | To date, limited data are available regarding the inter-site consistency of test–retest reproducibility of functional connectivity measurements, in particular with regard to integrity of the Default Mode Network (DMN) in elderly participants. We implemented a harmonized resting-state fMRI protocol on 13 clinical scanners at 3.0T using vendor-provided sequences. Each site scanned a group of 5 healthy elderly participants twice, at least a week apart. We evaluated inter-site differences and test–retest reproducibility of both temporal signal-to-noise ratio (tSNR) and functional connectivity measurements derived from: i) seed-based analysis (SBA) with seed in the posterior cingulate cortex (PCC), ii) group independent component analysis (ICA) separately for each site (site ICA), and iii) consortium ICA, with group ICA across the whole consortium. Despite protocol harmonization, significant and quantitatively important inter-site differences remained in the tSNR of resting-state fMRI data; these were plausibly driven by hardware and pulse sequence differences across scanners which could not be harmonized. Nevertheless, the tSNR test–retest reproducibility in the consortium was high (ICC=0.81). The DMN was consistently extracted across all sites and analysis methods. While significant inter-site differences in connectivity scores were found, there were no differences in the associated test–retest error. Overall, ICA measurements were more reliable than PCC-SBA, with site ICA showing higher reproducibility than consortium ICA. Across the DMN nodes, the PCC yielded the most reliable measurements (≈4% test–retest error, ICC=0.85), the medial frontal cortex the least reliable (≈12%, ICC=0.82) and the lateral parietal cortices were in between (site ICA). Altogether these findings support usage of harmonized multisite studies of resting-state functional connectivity to characterize longitudinal effects in studies that assess disease progression and treatment response.
•We implement a multi-site 3T MRI protocol for resting state fMRI in 13 sites.•We acquire across-session test–retest (TRT) data on 64 healthy elderly participants.•Despite harmonization strong phantom and brain tSNR differences remain across sites.•TRT error of regional DMN functional connectivity is consistent across sites.•ICA yields more reliable DMN connectivity measurements relative to SBA. |
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| AbstractList | To date, limited data are available regarding the inter-site consistency of test-retest reproducibility of functional connectivity measurements, in particular with regard to integrity of the Default Mode Network (DMN) in elderly participants. We implemented a harmonized resting-state fMRI protocol on 13 clinical scanners at 3.0T using vendor-provided sequences. Each site scanned a group of 5 healthy elderly participants twice, at least a week apart. We evaluated inter-site differences and test-retest reproducibility of both temporal signal-to-noise ratio (tSNR) and functional connectivity measurements derived from: i) seed-based analysis (SBA) with seed in the posterior cingulate cortex (PCC), ii) group independent component analysis (ICA) separately for each site (site ICA), and iii) consortium ICA, with group ICA across the whole consortium. Despite protocol harmonization, significant and quantitatively important inter-site differences remained in the tSNR of resting-state fMRI data; these were plausibly driven by hardware and pulse sequence differences across scanners which could not be harmonized. Nevertheless, the tSNR test-retest reproducibility in the consortium was high (ICC=0.81). The DMN was consistently extracted across all sites and analysis methods. While significant inter-site differences in connectivity scores were found, there were no differences in the associated test-retest error. Overall, ICA measurements were more reliable than PCC-SBA, with site ICA showing higher reproducibility than consortium ICA. Across the DMN nodes, the PCC yielded the most reliable measurements (≈4% test-retest error, ICC=0.85), the medial frontal cortex the least reliable (≈12%, ICC=0.82) and the lateral parietal cortices were in between (site ICA). Altogether these findings support usage of harmonized multisite studies of resting-state functional connectivity to characterize longitudinal effects in studies that assess disease progression and treatment response. To date, limited data are available regarding the inter-site consistency of test-retest reproducibility of functional connectivity measurements, in particular with regard to integrity of the Default Mode Network (DMN) in elderly participants. We implemented a harmonized resting-state fMRI protocol on 13 clinical scanners at 3.0T using vendor-provided sequences. Each site scanned a group of 5 healthy elderly participants twice, at least a week apart. We evaluated inter-site differences and test-retest reproducibility of both temporal signal-to-noise ratio (tSNR) and functional connectivity measurements derived from: i) seed-based analysis (SBA) with seed in the posterior cingulate cortex (PCC), ii) group independent component analysis (ICA) separately for each site (site ICA), and iii) consortium ICA, with group ICA across the whole consortium. Despite protocol harmonization, significant and quantitatively important inter-site differences remained in the tSNR of resting-state fMRI data; these were plausibly driven by hardware and pulse sequence differences across scanners which could not be harmonized. Nevertheless, the tSNR test-retest reproducibility in the consortium was high (ICC=0.81). The DMN was consistently extracted across all sites and analysis methods. While significant inter-site differences in connectivity scores were found, there were no differences in the associated test-retest error. Overall, ICA measurements were more reliable than PCC-SBA, with site ICA showing higher reproducibility than consortium ICA. Across the DMN nodes, the PCC yielded the most reliable measurements ( approximately 4% test-retest error, ICC=0.85), the medial frontal cortex the least reliable ( approximately 12%, ICC=0.82) and the lateral parietal cortices were in between (site ICA). Altogether these findings support usage of harmonized multisite studies of resting-state functional connectivity to characterize longitudinal effects in studies that assess disease progression and treatment response. To date, limited data are available regarding the inter-site consistency of test-retest reproducibility of functional connectivity measurements, in particular with regard to integrity of the Default Mode Network (DMN) in elderly participants. We implemented a harmonized resting-state fMRI protocol on 13 clinical scanners at 3.0T using vendor-provided sequences. Each site scanned a group of 5 healthy elderly participants twice, at least a week apart. We evaluated inter-site differences and test-retest reproducibility of both temporal signal-to-noise ratio (tSNR) and functional connectivity measurements derived from: i) seed-based analysis (SBA) with seed in the posterior cingulate cortex (PCC), ii) group independent component analysis (ICA) separately for each site (site ICA), and iii) consortium ICA, with group ICA across the whole consortium. Despite protocol harmonization, significant and quantitatively important inter-site differences remained in the tSNR of resting-state fMRI data; these were plausibly driven by hardware and pulse sequence differences across scanners which could not be harmonized. Nevertheless, the tSNR test-retest reproducibility in the consortium was high (ICC=0.81). The DMN was consistently extracted across all sites and analysis methods. While significant inter-site differences in connectivity scores were found, there were no differences in the associated test-retest error. Overall, ICA measurements were more reliable than PCC-SBA, with site ICA showing higher reproducibility than consortium ICA. Across the DMN nodes, the PCC yielded the most reliable measurements ([asymptotically =]4% test-retest error, ICC=0.85), the medial frontal cortex the least reliable ([asymptotically =]12%, ICC=0.82) and the lateral parietal cortices were in between (site ICA). Altogether these findings support usage of harmonized multisite studies of resting-state functional connectivity to characterize longitudinal effects in studies that assess disease progression and treatment response. To date, limited data are available regarding the inter-site consistency of test-retest reproducibility of functional connectivity measurements, in particular with regard to integrity of the Default Mode Network (DMN) in elderly participants. We implemented a harmonized resting-state fMRI protocol on 13 clinical scanners at 3.0 T using vendor-provided sequences. Each site scanned a group of 5 healthy elderly participants twice, at least a week apart. We evaluated inter-site differences and test-retest reproducibility of both temporal signal-to-noise ratio (tSNR) and functional connectivity measurements derived from: i) seed-based analysis (SBA) with seed in the posterior cingulate cortex (PCC), ii) group independent component analysis (ICA) separately for each site (site ICA), and iii) consortium ICA, with group ICA across the whole consortium. Despite protocol harmonization, significant and quantitatively important inter-site differences remained in the tSNR of resting-state fMRI data; these were plausibly driven by hardware and pulse sequence differences across scanners which could not be harmonized. Nevertheless, the tSNR test-retest reproducibility in the consortium was high (ICC = 0.81). The DMN was consistently extracted across all sites and analysis methods. While significant inter-site differences in connectivity scores were found, there were no differences in the associated test-retest error. Overall, ICA measurements were more reliable than PCC-SBA, with site ICA showing higher reproducibility than consortium ICA. Across the DMN nodes, the PCC yielded the most reliable measurements (approximate to 4% test-retest error, ICC = 0.85), the medial frontal cortex the least reliable (approximate to 12%, ICC = 0.82) and the lateral parietal cortices were in between (site ICA). Altogether these findings support usage of harmonized multisite studies of resting-state functional connectivity to characterize longitudinal effects in studies that assess disease progression and treatment response. (C) 2015 Elsevier Inc. All rights reserved. To date, limited data are available regarding the inter-site consistency of test-retest reproducibility of functional connectivity measurements, in particular with regard to integrity of the Default Mode Network (DMN) in elderly participants. We implemented a harmonized resting-state fMRI protocol on 13 clinical scanners at 3.0T using vendor-provided sequences. Each site scanned a group of 5 healthy elderly participants twice, at least a week apart. We evaluated inter-site differences and test-retest reproducibility of both temporal signal-to-noise ratio (tSNR) and functional connectivity measurements derived from: i) seed-based analysis (SBA) with seed in the posterior cingulate cortex (PCC), ii) group independent component analysis (ICA) separately for each site (site ICA), and iii) consortium ICA, with group ICA across the whole consortium. Despite protocol harmonization, significant and quantitatively important inter-site differences remained in the tSNR of resting-state fMRI data; these were plausibly driven by hardware and pulse sequence differences across scanners which could not be harmonized. Nevertheless, the tSNR test-retest reproducibility in the consortium was high (ICC=0.81). The DMN was consistently extracted across all sites and analysis methods. While significant inter-site differences in connectivity scores were found, there were no differences in the associated test-retest error. Overall, ICA measurements were more reliable than PCC-SBA, with site ICA showing higher reproducibility than consortium ICA. Across the DMN nodes, the PCC yielded the most reliable measurements (≈4% test-retest error, ICC=0.85), the medial frontal cortex the least reliable (≈12%, ICC=0.82) and the lateral parietal cortices were in between (site ICA). Altogether these findings support usage of harmonized multisite studies of resting-state functional connectivity to characterize longitudinal effects in studies that assess disease progression and treatment response.To date, limited data are available regarding the inter-site consistency of test-retest reproducibility of functional connectivity measurements, in particular with regard to integrity of the Default Mode Network (DMN) in elderly participants. We implemented a harmonized resting-state fMRI protocol on 13 clinical scanners at 3.0T using vendor-provided sequences. Each site scanned a group of 5 healthy elderly participants twice, at least a week apart. We evaluated inter-site differences and test-retest reproducibility of both temporal signal-to-noise ratio (tSNR) and functional connectivity measurements derived from: i) seed-based analysis (SBA) with seed in the posterior cingulate cortex (PCC), ii) group independent component analysis (ICA) separately for each site (site ICA), and iii) consortium ICA, with group ICA across the whole consortium. Despite protocol harmonization, significant and quantitatively important inter-site differences remained in the tSNR of resting-state fMRI data; these were plausibly driven by hardware and pulse sequence differences across scanners which could not be harmonized. Nevertheless, the tSNR test-retest reproducibility in the consortium was high (ICC=0.81). The DMN was consistently extracted across all sites and analysis methods. While significant inter-site differences in connectivity scores were found, there were no differences in the associated test-retest error. Overall, ICA measurements were more reliable than PCC-SBA, with site ICA showing higher reproducibility than consortium ICA. Across the DMN nodes, the PCC yielded the most reliable measurements (≈4% test-retest error, ICC=0.85), the medial frontal cortex the least reliable (≈12%, ICC=0.82) and the lateral parietal cortices were in between (site ICA). Altogether these findings support usage of harmonized multisite studies of resting-state functional connectivity to characterize longitudinal effects in studies that assess disease progression and treatment response. To date, limited data are available regarding the inter-site consistency of test–retest reproducibility of functional connectivity measurements, in particular with regard to integrity of the Default Mode Network (DMN) in elderly participants. We implemented a harmonized resting-state fMRI protocol on 13 clinical scanners at 3.0T using vendor-provided sequences. Each site scanned a group of 5 healthy elderly participants twice, at least a week apart. We evaluated inter-site differences and test–retest reproducibility of both temporal signal-to-noise ratio (tSNR) and functional connectivity measurements derived from: i) seed-based analysis (SBA) with seed in the posterior cingulate cortex (PCC), ii) group independent component analysis (ICA) separately for each site (site ICA), and iii) consortium ICA, with group ICA across the whole consortium. Despite protocol harmonization, significant and quantitatively important inter-site differences remained in the tSNR of resting-state fMRI data; these were plausibly driven by hardware and pulse sequence differences across scanners which could not be harmonized. Nevertheless, the tSNR test–retest reproducibility in the consortium was high (ICC=0.81). The DMN was consistently extracted across all sites and analysis methods. While significant inter-site differences in connectivity scores were found, there were no differences in the associated test–retest error. Overall, ICA measurements were more reliable than PCC-SBA, with site ICA showing higher reproducibility than consortium ICA. Across the DMN nodes, the PCC yielded the most reliable measurements (≈4% test–retest error, ICC=0.85), the medial frontal cortex the least reliable (≈12%, ICC=0.82) and the lateral parietal cortices were in between (site ICA). Altogether these findings support usage of harmonized multisite studies of resting-state functional connectivity to characterize longitudinal effects in studies that assess disease progression and treatment response. •We implement a multi-site 3T MRI protocol for resting state fMRI in 13 sites.•We acquire across-session test–retest (TRT) data on 64 healthy elderly participants.•Despite harmonization strong phantom and brain tSNR differences remain across sites.•TRT error of regional DMN functional connectivity is consistent across sites.•ICA yields more reliable DMN connectivity measurements relative to SBA. |
| Author | Marizzoni, Moira Benninghoff, Jens Picco, Agnese Alessandrini, Franco Arnold, Jennifer Marchitelli, Rocco Drevelegas, Antonios Cavaliere, Carlo Floridi, Piero Nobili, Flavio Marra, Camillo Payoux, Pierre Sala-Llonch, Roser Ranjeva, Jean-Philippe Jovicich, Jorge Hensch, Tilman Tsolaki, Magda Barkhof, Frederik Bordet, Régis Sein, Julien Didic, Mira Gros-Dagnac, Hélène Tarducci, Roberto Frisoni, Giovanni B. Constantinidis, Manos Blin, Oliver Ferretti, Antonio Caulo, Massimo Kuijer, Joost P. Schönknecht, Peter Zoccatelli, Giada Roccatagliata, Luca Hoffmann, Karl-Titus Soricelli, Andrea Visser, Pieter Jelle Fiedler, Ute Aiello, Marco Parnetti, Lucilla Rossini, Paolo Maria Bartrés-Faz, David Bombois, Stephanie Lopes, Renaud Bargalló, Núria Minati, Ludovico Beltramello, Alberto |
| Author_xml | – sequence: 1 givenname: Jorge orcidid: 0000-0001-9504-7503 surname: Jovicich fullname: Jovicich, Jorge email: jorge.jovicich@unitn.it organization: Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy – sequence: 2 givenname: Ludovico surname: Minati fullname: Minati, Ludovico organization: Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy – sequence: 3 givenname: Moira surname: Marizzoni fullname: Marizzoni, Moira organization: LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine, IRCCS San Giovanni di Dio-FBF, Brescia, Italy – sequence: 4 givenname: Rocco surname: Marchitelli fullname: Marchitelli, Rocco organization: Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy – sequence: 5 givenname: Roser surname: Sala-Llonch fullname: Sala-Llonch, Roser organization: Department of Psychiatry and Clinical Psychobiology, Universitat de Barcelona and IDIBAPS, Barcelona, Spain – sequence: 6 givenname: David surname: Bartrés-Faz fullname: Bartrés-Faz, David organization: Department of Psychiatry and Clinical Psychobiology, Universitat de Barcelona and IDIBAPS, Barcelona, Spain – sequence: 7 givenname: Jennifer surname: Arnold fullname: Arnold, Jennifer organization: LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany – sequence: 8 givenname: Jens surname: Benninghoff fullname: Benninghoff, Jens organization: LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany – sequence: 9 givenname: Ute surname: Fiedler fullname: Fiedler, Ute organization: LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany – sequence: 10 givenname: Luca surname: Roccatagliata fullname: Roccatagliata, Luca organization: Department of Neuroradiology, IRCSS San Martino University Hospital and IST, Genoa, Italy – sequence: 11 givenname: Agnese surname: Picco fullname: Picco, Agnese organization: Department of Neuroscience, Ophthalmology, Genetics and Mother–Child Health (DINOGMI), University of Genoa, Genoa, Italy – sequence: 12 givenname: Flavio surname: Nobili fullname: Nobili, Flavio organization: Department of Neuroscience, Ophthalmology, Genetics and Mother–Child Health (DINOGMI), University of Genoa, Genoa, Italy – sequence: 13 givenname: Oliver surname: Blin fullname: Blin, Oliver organization: Pharmacology, Assistance Publique, Hôpitaux de Marseille, Aix-Marseille University, CNRS, UMR 7289, Marseille, France – sequence: 14 givenname: Stephanie surname: Bombois fullname: Bombois, Stephanie organization: Univ. Lille, INSERM, CHU Lille, U1171 — Degenerative and Vascular Cognitive Disorders, Lille, France – sequence: 15 givenname: Renaud surname: Lopes fullname: Lopes, Renaud organization: Univ. Lille, INSERM, CHU Lille, U1171 — Degenerative and Vascular Cognitive Disorders, Lille, France – sequence: 16 givenname: Régis surname: Bordet fullname: Bordet, Régis organization: Univ. Lille, INSERM, CHU Lille, U1171 — Degenerative and Vascular Cognitive Disorders, Lille, France – sequence: 17 givenname: Julien surname: Sein fullname: Sein, Julien organization: CRMBM–CEMEREM, UMR 7339, Aix Marseille Université, CNRS, Marseille, France – sequence: 18 givenname: Jean-Philippe surname: Ranjeva fullname: Ranjeva, Jean-Philippe organization: CRMBM–CEMEREM, UMR 7339, Aix Marseille Université, CNRS, Marseille, France – sequence: 19 givenname: Mira surname: Didic fullname: Didic, Mira organization: APHM, CHU Timone, Service de Neurologie et Neuropsychologie, Marseille, France – sequence: 20 givenname: Hélène surname: Gros-Dagnac fullname: Gros-Dagnac, Hélène organization: INSERM, UMR 825 Imagerie Cérébrale et Handicaps Neurologiques, F-31024 Toulouse, France – sequence: 21 givenname: Pierre surname: Payoux fullname: Payoux, Pierre organization: INSERM, UMR 825 Imagerie Cérébrale et Handicaps Neurologiques, F-31024 Toulouse, France – sequence: 22 givenname: Giada surname: Zoccatelli fullname: Zoccatelli, Giada organization: Department of Neuroradiology, General Hospital, Verona, Italy – sequence: 23 givenname: Franco surname: Alessandrini fullname: Alessandrini, Franco organization: Department of Neuroradiology, General Hospital, Verona, Italy – sequence: 24 givenname: Alberto surname: Beltramello fullname: Beltramello, Alberto organization: Department of Neuroradiology, General Hospital, Verona, Italy – sequence: 25 givenname: Núria surname: Bargalló fullname: Bargalló, Núria organization: Department of Neuroradiology and Magnetic Resonance Image Core Facility, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain – sequence: 26 givenname: Antonio surname: Ferretti fullname: Ferretti, Antonio organization: Department of Neuroscience Imaging and Clinical Sciences, University “G. d'Annunzio” of Chieti, Italy – sequence: 27 givenname: Massimo surname: Caulo fullname: Caulo, Massimo organization: Department of Neuroscience Imaging and Clinical Sciences, University “G. d'Annunzio” of Chieti, Italy – sequence: 28 givenname: Marco surname: Aiello fullname: Aiello, Marco organization: IRCCS SDN, Naples, Italy – sequence: 29 givenname: Carlo surname: Cavaliere fullname: Cavaliere, Carlo organization: IRCCS SDN, Naples, Italy – sequence: 30 givenname: Andrea surname: Soricelli fullname: Soricelli, Andrea organization: IRCCS SDN, Naples, Italy – sequence: 31 givenname: Lucilla surname: Parnetti fullname: Parnetti, Lucilla organization: Section of Neurology, Centre for Memory Disturbances, University of Perugia, Perugia, Italy – sequence: 32 givenname: Roberto surname: Tarducci fullname: Tarducci, Roberto organization: Medical Physics Unit, Perugia General Hospital, Perugia, Italy – sequence: 33 givenname: Piero surname: Floridi fullname: Floridi, Piero organization: Neuroradiology Unit, Perugia General Hospital, Perugia, Italy – sequence: 34 givenname: Magda surname: Tsolaki fullname: Tsolaki, Magda organization: 3rd Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece – sequence: 35 givenname: Manos surname: Constantinidis fullname: Constantinidis, Manos organization: Interbalkan Medical Center of Thessaloniki, Thessaloniki, Greece – sequence: 36 givenname: Antonios surname: Drevelegas fullname: Drevelegas, Antonios organization: Interbalkan Medical Center of Thessaloniki, Thessaloniki, Greece – sequence: 37 givenname: Paolo Maria surname: Rossini fullname: Rossini, Paolo Maria organization: Dept. Geriatrics, Neuroscience & Orthopaedics, Catholic University, Policlinic Gemelli, Rome, Italy – sequence: 38 givenname: Camillo surname: Marra fullname: Marra, Camillo organization: Center for Neuropsychological Research, Catholic University, Rome, Italy – sequence: 39 givenname: Peter surname: Schönknecht fullname: Schönknecht, Peter organization: Department of Psychiatry, University Hospital Leipzig, Leipzig, Germany – sequence: 40 givenname: Tilman surname: Hensch fullname: Hensch, Tilman organization: Department of Psychiatry, University Hospital Leipzig, Leipzig, Germany – sequence: 41 givenname: Karl-Titus surname: Hoffmann fullname: Hoffmann, Karl-Titus organization: Department of Neuroradiology, University Hospital Leipzig, Leipzig, Germany – sequence: 42 givenname: Joost P. surname: Kuijer fullname: Kuijer, Joost P. organization: Department of Physics and Medical Technology, VU University Medical Center, Amsterdam, The Netherlands – sequence: 43 givenname: Pieter Jelle surname: Visser fullname: Visser, Pieter Jelle organization: Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, University of Maastricht, Maastricht, The Netherlands – sequence: 44 givenname: Frederik surname: Barkhof fullname: Barkhof, Frederik organization: Alzheimer Centre and Department of Neurology, Vrije Universiteit University Medical Center, Amsterdam, The Netherlands – sequence: 45 givenname: Giovanni B. surname: Frisoni fullname: Frisoni, Giovanni B. organization: LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine, IRCCS San Giovanni di Dio-FBF, Brescia, Italy |
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| SubjectTerms | Aged Aged, 80 and over Bioengineering Brain - physiology Brain Mapping - methods Confidence intervals Consortia Data Interpretation, Statistical Default Mode Network Demographics Functional connectivity Gyrus Cinguli - physiology Humans Life Sciences Longitudinal Studies Magnetic Resonance Imaging - methods Measurement techniques Methods Middle Aged Multi-center Multi-site MRI Neural Pathways - physiology Noise Reproducibility Reproducibility of Results Scanners Signal-To-Noise Ratio Software Studies |
| Title | Longitudinal reproducibility of default-mode network connectivity in healthy elderly participants: A multicentric resting-state fMRI study |
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