Multisite reliability and repeatability of an advanced brain MRI protocol

MRI is the imaging modality of choice for diagnosis and intervention assessment in neurological disease. Its full potential has not been realized due in part to challenges in harmonizing advanced techniques across multiple sites.

[1]  Nico Papinutto,et al.  The NAIMS cooperative pilot project: Design, implementation and future directions , 2018, Multiple sclerosis.

[2]  C. Jack,et al.  Quantitative magnetic resonance imaging phantoms: A review and the need for a system phantom , 2018, Magnetic resonance in medicine.

[3]  D. Reich,et al.  Volumetric Analysis from a Harmonized Multisite Brain MRI Study of a Single Subject with Multiple Sclerosis , 2017, American Journal of Neuroradiology.

[4]  W. Rooney,et al.  Spatio-Temporal Patterns of Demyelination and Remyelination in the Cuprizone Mouse Model , 2016, PloS one.

[5]  O. Ciccarelli,et al.  Nonconventional MRI and microstructural cerebral changes in multiple sclerosis , 2015, Nature Reviews Neurology.

[6]  R I Grossman,et al.  Non-Gaussian diffusion MRI of gray matter is associated with cognitive impairment in multiple sclerosis , 2015, Multiple sclerosis.

[7]  Christine L. Tardif,et al.  On the accuracy of T1 mapping: Searching for common ground , 2015, Magnetic resonance in medicine.

[8]  D. Arnold,et al.  Imaging of repeated episodes of demyelination and remyelination in multiple sclerosis , 2014, NeuroImage: Clinical.

[9]  J. Thiran,et al.  Advanced MRI unravels the nature of tissue alterations in early multiple sclerosis , 2014, Annals of Clinical and Translational Neurology.

[10]  Erin L. Mazerolle,et al.  Altered functional connectivity and performance variability in relapsing–remitting multiple sclerosis , 2014, Multiple sclerosis.

[11]  M. Horsfield,et al.  Gray matter damage predicts the accumulation of disability 13 years later in MS , 2013, Neurology.

[12]  P. Scheltens,et al.  An MRI Rating Scale for Amyloid-Related Imaging Abnormalities with Edema or Effusion , 2013, American Journal of Neuroradiology.

[13]  Kristoffer Hougaard Madsen,et al.  Expanded functional coupling of subcortical nuclei with the motor resting-state network in multiple sclerosis , 2013, Multiple sclerosis.

[14]  Nikolaus Weiskopf,et al.  Quantitative multi-parameter mapping of R1, PD*, MT, and R2* at 3T: a multi-center validation , 2013, Front. Neurosci..

[15]  K. Ercan,et al.  Diffusion Tensor Magnetic Resonance Imaging in Patients with Multiple Sclerosis and its Relationship with Disability , 2013, The neuroradiology journal.

[16]  Elizabeth Fisher,et al.  Clinically feasible MTR is sensitive to cortical demyelination in MS , 2013, Neurology.

[17]  Xue Wang,et al.  Reproducibility of Structural, Resting-State BOLD and DTI Data between Identical Scanners , 2012, PloS one.

[18]  Julien Cohen-Adad,et al.  Improving diffusion MRI using simultaneous multi-slice echo planar imaging , 2012, NeuroImage.

[19]  Michele M Hutter,et al.  Magnetic Resonance Imaging Correlates of Dichotic Listening Performance in Multiple Sclerosis , 2012, Seminars in Hearing.

[20]  M. Corbetta,et al.  Increased functional connectivity indicates the severity of cognitive impairment in multiple sclerosis , 2011, Proceedings of the National Academy of Sciences.

[21]  Stephen M. Smith,et al.  Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging , 2010, PloS one.

[22]  M. Inglese,et al.  Diffusion imaging in multiple sclerosis: research and clinical implications , 2010 .

[23]  Peter A. Calabresi,et al.  A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions , 2010, NeuroImage.

[24]  Steven C. R. Williams,et al.  Measuring fMRI reliability with the intra-class correlation coefficient , 2009, NeuroImage.

[25]  André J. W. van der Kouwe,et al.  Reliability of MRI-derived cortical and subcortical morphometric measures: Effects of pulse sequence, voxel geometry, and parallel imaging , 2009, NeuroImage.

[26]  K. Uğurbil,et al.  Magnetic field and tissue dependencies of human brain longitudinal 1H2O relaxation in vivo , 2007, Magnetic resonance in medicine.

[27]  S. Rombouts,et al.  Voxel-based analysis of quantitative T1 maps demonstrates that multiple sclerosis acts throughout the normal-appearing white matter. , 2006, AJNR. American journal of neuroradiology.

[28]  G J Barker,et al.  Magnetization transfer histograms in clinically isolated syndromes suggestive of multiple sclerosis. , 2005, Brain : a journal of neurology.

[29]  J. Lurito,et al.  Multiple sclerosis: low-frequency temporal blood oxygen level-dependent fluctuations indicate reduced functional connectivity initial results. , 2002, Radiology.

[30]  F. Barkhof.  The clinico‐radiological paradox in multiple sclerosis revisited , 2002, Current opinion in neurology.

[31]  G S Francis,et al.  Combined magnetization transfer and proton spectroscopic imaging in the assessment of pathologic brain lesions in multiple sclerosis. , 1999, AJNR. American journal of neuroradiology.

[32]  M W Weiner,et al.  A serial study of new MS lesions and the white matter from which they arise , 1998, Neurology.

[33]  D. Cicchetti.  Multiple comparison methods: establishing guidelines for their valid application in neuropsychological research. , 1994, Journal of clinical and experimental neuropsychology.

[34]  J. Fleiss,et al.  Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.