Multisite longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging of healthy elderly subjects

Jovicich, Jorge; Marizzoni, Moira; Bosch, Beatríz; Bartrés‐Faz, David; Arnold, Jennifer; Benninghoff, Jens; Wiltfang, Jens; Roccatagliata, Luca; Picco, Agnese; Nobili, Flavio; Blin, Olivier; Bombois, Stéphanie; Lopes, Renaud; Bordet, Régis; Chanoine, Valérie; Ranjeva, Jean‐Philippe; Didic, Mira; Gros‐Dagnac, Hélène; Payoux, Pierre; Zoccatelli, Giada; Alessandrini, Franco; Beltramello, Alberto; Bargalló, Núria; Ferretti, Andrea; Caulo, Massimo; Aiello, Marco; Ragucci, Monica; Soricelli, Andrea; Salvadori, Nicola; Tarducci, R.; Floridi, Piero; Tsolaki, Magda; Constantinidis, Manos; Drevelegas, Antonios; Rossini, Paolo Maria; Marra, Camillo; Otto, Josephin; Reiss-Zimmermann, M; Hoffmann, Karl‐Titus; Galluzzi, Samantha; Frisoni, Giovanni B.

doi:10.1016/j.neuroimage.2014.06.075

Cited by 86 publications

(98 citation statements)

References 71 publications

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“…Previous efforts demonstrated high scan–rescan reproducibility of the neuroimaging included of the volumetric measurements for subcortical brain structures (Maclaren et al., 2014), cortical gray matter thickness (Dickerson et al., 2008; Han et al., 2006; Li et al., 2015), and diffusion tensor measurements (Acheson et al., 2017; Jovicich et al., 2014). Likewise, several prior studies quantified scan–rescan stability and reproducibility of the MRS measurements at 3T (Wellard, Briellmann, Jennings, & Jackson, 2005; Wijtenburg & Knight‐Scott, 2011; Wijtenburg et al., 2013).…”

Section: Discussionmentioning

confidence: 99%

Reproducibility of quantitative structural and physiological MRI measurements

et al. 2017

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IntroductionQuantitative longitudinal magnetic resonance imaging and spectroscopy (MRI/S) is used to assess progress of brain disorders and treatment effects. Understanding the significance of MRI/S changes requires knowledge of the inherent technical and physiological consistency of these measurements. This longitudinal study examined the variance and reproducibility of commonly used quantitative MRI/S measurements in healthy subjects while controlling physiological and technical parameters.MethodsTwenty‐five subjects were imaged three times over 5 days on a Siemens 3T Verio scanner equipped with a 32‐channel phase array coil. Structural (T1, T2‐weighted, and diffusion‐weighted imaging) and physiological (pseudocontinuous arterial spin labeling, proton magnetic resonance spectroscopy) data were collected. Consistency of repeated images was evaluated with mean relative difference, mean coefficient of variation, and intraclass correlation (ICC). Finally, a “reproducibility rating” was calculated based on the number of subjects needed for a 3% and 10% difference.ResultsStructural measurements generally demonstrated excellent reproducibility (ICCs 0.872–0.998) with a few exceptions. Moderate‐to‐low reproducibility was observed for fractional anisotropy measurements in fornix and corticospinal tracts, for cortical gray matter thickness in the entorhinal, insula, and medial orbitofrontal regions, and for the count of the periependymal hyperintensive white matter regions. The reproducibility of physiological measurements ranged from excellent for most of the magnetic resonance spectroscopy measurements to moderate for permeability‐diffusivity coefficients in cingulate gray matter to low for regional blood flow in gray and white matter.DiscussionThis study demonstrates a high degree of longitudinal consistency across structural and physiological measurements in healthy subjects, defining the inherent variability in these commonly used sequences. Additionally, this study identifies those areas where caution should be exercised in interpretation. Understanding this variability can serve as the basis for interpretation of MRI/S data in the assessment of neurological disorders and treatment effects.

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Section: Discussionmentioning

confidence: 99%

Reproducibility of quantitative structural and physiological MRI measurements

et al. 2017

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“…18 Furthermore, limited knowledge is available about the margins of across-session reproducibility errors. 61,62 As this was the first longitudinal DTI study including healthy siblings, we used a whole brain, voxel-based analyses, given the fact that evidence for differential WM regional time-trajectories is missing to date. The results of the group by region interactions are thus hypothesis-generating and may be of use in future longitudinal studies that examine individual WM tracts within distinct development trajectories.…”

Section: Methodological Considerationsmentioning

confidence: 99%

Differential Time Course of Microstructural White Matter in Patients With Psychotic Disorder and Individuals at Risk: A 3-Year Follow-up Study

Domen¹,

Peeters²,

Michielse³

et al. 2016

Schizophrenia Bulletin

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“…Structural MR procedures were tested for their ability to detect such morphometry data as cortical thickness and subcortical volumes, and the results showed acceptable reproducibility [49]. An analysis of multisite diffusion MR procedures showed good reliability when assessing white matter data [50]. Good reproducibility was also found in test-retest studies of the default mode network (DMN) using functional MRI (fMRI) [51,52].…”

Section: European Adni and Addneuromedmentioning

confidence: 99%

The Worldwide Alzheimer's Disease Neuroimaging Initiative: An update

Hendrix

Finger²,

Weiner

et al. 2015

Alzheimer's & Dementia

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The Alzheimer's Disease Neuroimaging Initiative (ADNI), launched in 2004, has worked to accelerate drug development by validating imaging and blood/cerebrospinal fluid biomarkers for Alzheimer's disease clinical treatment trials. ADNI is a naturalistic (nontreatment) multisite longitudinal study. A true public-private partnership, the initiative has set a new standard for data sharing without embargo and for the use of biomarkers in dementia research. The ADNI effort in North America is not the only such effort in the world. The Alzheimer's Association recognized these global efforts and formed Worldwide ADNI (WW-ADNI). By creating a platform for international collaboration and cooperation, WW-ADNI's goals are to harmonize projects and results across geographical regions and to facilitate data management and availability to investigators around the world. WW-ADNI projects include those based in North America, Europe, Japan, Australia, Korea, and Argentina.

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Multisite longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging of healthy elderly subjects

Cited by 86 publications

References 71 publications

Reproducibility of quantitative structural and physiological MRI measurements

Reproducibility of quantitative structural and physiological MRI measurements

Differential Time Course of Microstructural White Matter in Patients With Psychotic Disorder and Individuals at Risk: A 3-Year Follow-up Study

The Worldwide Alzheimer's Disease Neuroimaging Initiative: An update

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