Perivascular space fluid contributes to diffusion tensor imaging changes in white matter

Diffusion tensor imaging (DTI) has been extensively used to map changes in brain tissue related to neurological disorders. Among the most widespread DTI findings are increased mean diffusivity and decreased fractional anisotropy of white matter tissue in neurodegenerative diseases. Here we utilize multi-shell diffusion imaging to separate diffusion signal of the brain parenchyma from non-parenchymal fluid within the white matter. We show that unincorporated anisotropic water in perivascular space (PVS) significantly, and systematically, biases DTI measures, casting new light on the biological validity of many previously reported findings. Despite the challenge this poses for interpreting these past findings, our results suggest that multi-shell diffusion MRI provides a new opportunity for incorporating the PVS contribution, ultimately strengthening the clinical and scientific value of diffusion MRI.

[1]  Arthur W. Toga,et al.  Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template , 2008, NeuroImage.

[2]  Maiken Nedergaard,et al.  Impairment of paravascular clearance pathways in the aging brain , 2014, Annals of neurology.

[3]  Klaus P. Ebmeier,et al.  A meta-analysis of diffusion tensor imaging in mild cognitive impairment and Alzheimer's disease , 2011, Neurobiology of Aging.

[4]  L. Wahlund,et al.  Perivascular Spaces in Old Age: Assessment, Distribution, and Correlation with White Matter Hyperintensities , 2018, American Journal of Neuroradiology.

[5]  D. Le Bihan,et al.  Diffusion tensor imaging: Concepts and applications , 2001, Journal of magnetic resonance imaging : JMRI.

[6]  David H. Laidlaw,et al.  A Comparative evaluation of voxel-based spatial mapping in diffusion tensor imaging , 2017, NeuroImage.

[7]  Douglas G. Altman,et al.  Measurement in Medicine: The Analysis of Method Comparison Studies , 1983 .

[8]  S.N. Manias,et al.  Reduction of EMI emission of an on-board charger for electric vehicles , 1995, 1995 Proceedings of the IEEE International Symposium on Industrial Electronics.

[9]  P. Sundgren,et al.  Diffusion tensor imaging of the brain: review of clinical applications , 2004, Neuroradiology.

[10]  Massimo Filippi,et al.  White matter damage in Alzheimer disease and its relationship to gray matter atrophy. , 2011, Radiology.

[11]  I. Wilkinson,et al.  Study of the effect of CSF suppression on white matter diffusion anisotropy mapping of healthy human brain , 2002, Magnetic resonance in medicine.

[12]  Hugo J. Kuijf,et al.  Visualization of Perivascular Spaces and Perforating Arteries With 7 T Magnetic Resonance Imaging , 2014, Investigative radiology.

[13]  Cheng Guan Koay,et al.  Optimization of a free water elimination two-compartment model for diffusion tensor imaging , 2014, NeuroImage.

[14]  Konstantinos Arfanakis,et al.  Enhanced ICBM diffusion tensor template of the human brain , 2011, NeuroImage.

[15]  Derek K Jones,et al.  Applications of diffusion‐weighted and diffusion tensor MRI to white matter diseases – a review , 2002, NMR in biomedicine.

[16]  S. Mori,et al.  Principles of Diffusion Tensor Imaging and Its Applications to Basic Neuroscience Research , 2006, Neuron.

[17]  C. Jack,et al.  Effectiveness of regional DTI measures in distinguishing Alzheimer's disease, MCI, and normal aging☆ , 2013, NeuroImage: Clinical.

[18]  Robert I. Reid,et al.  White-matter integrity on DTI and the pathologic staging of Alzheimer's disease , 2017, Neurobiology of Aging.

[19]  R O Weller,et al.  Interrelationships of the pia mater and the perivascular (Virchow-Robin) spaces in the human cerebrum. , 1990, Journal of anatomy.

[20]  A. Alexander,et al.  Diffusion tensor imaging of the brain , 2007, Neurotherapeutics.

[21]  Owen Carmichael,et al.  Standardization of analysis sets for reporting results from ADNI MRI data , 2013, Alzheimer's & Dementia.

[22]  Anders M. Dale,et al.  Interstitial solute transport in 3D reconstructed neuropil occurs by diffusion rather than bulk flow , 2017, Proceedings of the National Academy of Sciences.

[23]  Maiken Nedergaard,et al.  The glymphatic pathway in neurological disorders , 2018, The Lancet Neurology.

[24]  Nils Daniel Forkert,et al.  Rapid solution of the Bloch-Torrey equation in anisotropic tissue: Application to dynamic susceptibility contrast MRI of cerebral white matter , 2019, NeuroImage.

[25]  Essa Yacoub,et al.  The WU-Minn Human Connectome Project: An overview , 2013, NeuroImage.

[26]  Anders M. Dale,et al.  An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.

[27]  A. Fjell,et al.  Diffusion tensor imaging of white matter degeneration in Alzheimer’s disease and mild cognitive impairment , 2014, Neuroscience.

[28]  Daniel S. Marcus,et al.  Obscuring Surface Anatomy in Volumetric Imaging Data , 2012, Neuroinformatics.

[29]  Weiguo Peng,et al.  Flow of cerebrospinal fluid is driven by arterial pulsations and is reduced in hypertension , 2018, Nature Communications.

[30]  R. Kalaria,et al.  The pathology and pathophysiology of vascular dementia , 2017, Neuropharmacology.

[31]  J. Morris,et al.  The Alzheimer's Disease Neuroimaging Initiative 3: Continued innovation for clinical trial improvement , 2017, Alzheimer's & Dementia.

[32]  H. Duvernoy,et al.  Cortical blood vessels of the human brain , 1981, Brain Research Bulletin.

[33]  Derek K. Jones,et al.  CSF contamination contributes to apparent microstructural alterations in mild cognitive impairment , 2014, NeuroImage.

[34]  Denis Le Bihan,et al.  Imagerie de diffusion in-vivo par résonance magnétique nucléaire , 1985 .

[35]  Thomas C Kwee,et al.  Virchow-Robin spaces at MR imaging. , 2007, Radiographics : a review publication of the Radiological Society of North America, Inc.

[36]  Stefan Skare,et al.  How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging , 2003, NeuroImage.

[37]  Lucia Ballerini,et al.  Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering , 2017, Scientific Reports.

[38]  Heidi Johansen-Berg,et al.  Diffusion MRI at 25: Exploring brain tissue structure and function , 2012, NeuroImage.

[39]  S. Black,et al.  Understanding the role of the perivascular space in cerebral small vessel disease , 2018, Cardiovascular research.

[40]  G. E. Vates,et al.  A Paravascular Pathway Facilitates CSF Flow Through the Brain Parenchyma and the Clearance of Interstitial Solutes, Including Amyloid β , 2012, Science Translational Medicine.

[41]  B. Delman,et al.  Quantification of perivascular spaces at 7T: A potential MRI biomarker for epilepsy , 2018, Seizure.

[42]  Joanna M Wardlaw,et al.  What are White Matter Hyperintensities Made of? , 2015, Journal of the American Heart Association.

[43]  Wei Wang,et al.  The Paravascular Pathway for Brain Waste Clearance: Current Understanding, Significance and Controversy , 2017, Front. Neuroanat..

[44]  Luc Buée,et al.  Tau and neuroinflammation: What impact for Alzheimer's Disease and Tauopathies? , 2018, Biomedical journal.

[45]  Maiken Nedergaard,et al.  Cerebral Arterial Pulsation Drives Paravascular CSF–Interstitial Fluid Exchange in the Murine Brain , 2013, The Journal of Neuroscience.

[46]  Sang Won Seo,et al.  MRI-visible perivascular space location is associated with Alzheimer's disease independently of amyloid burden , 2017, Brain : a journal of neurology.

[47]  Steen Moeller,et al.  Advances in diffusion MRI acquisition and processing in the Human Connectome Project , 2013, NeuroImage.

[48]  D. Le Bihan,et al.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. , 1988, Radiology.

[49]  Erin L. Mazerolle,et al.  Longitudinal changes in microstructural white matter metrics in Alzheimer's disease , 2016, NeuroImage: Clinical.

[50]  A. Umetsu,et al.  Ischemic White Matter Lesions Associated With Medullary Arteries: Classification of MRI Findings Based on the Anatomic Arterial Distributions. , 2017, AJR. American journal of roentgenology.

[51]  A. Dale,et al.  Life-span changes of the human brain white matter: diffusion tensor imaging (DTI) and volumetry. , 2010, Cerebral cortex.

[52]  Svetlana Egorova,et al.  Evaluating the Association between Enlarged Perivascular Spaces and Disease Worsening in Multiple Sclerosis , 2018, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[53]  R. Morris,et al.  Imaging age‐related cognitive decline: A comparison of diffusion tensor and magnetization transfer MRI , 2009, Journal of magnetic resonance imaging : JMRI.

[54]  Sterling C. Johnson,et al.  Microstructural white matter alterations in preclinical Alzheimer’s disease detected using free water elimination diffusion tensor imaging , 2017, PloS one.

[55]  Matthias J. Müller,et al.  Ultrastructural Hippocampal and White Matter Alterations in Mild Cognitive Impairment: A Diffusion Tensor Imaging Study , 2004, Dementia and Geriatric Cognitive Disorders.

[56]  T. Ragan,et al.  Whole Brain Imaging with Serial Two-Photon Tomography , 2016, Front. Neuroanat..

[57]  Norbert Schuff,et al.  White matter damage in frontotemporal dementia and Alzheimer's disease measured by diffusion MRI , 2009, Brain : a journal of neurology.

[58]  Arthur W. Toga,et al.  The informatics core of the Alzheimer's Disease Neuroimaging Initiative , 2010, Alzheimer's & Dementia.

[59]  H. Akaike A new look at the statistical model identification , 1974 .

[60]  M. Cavaglià,et al.  Regional variation in brain capillary density and vascular response to ischemia , 2001, Brain Research.

[61]  Thomas Wisniewski,et al.  Clearance systems in the brain—implications for Alzheimer disease , 2015, Nature Reviews Neurology.

[62]  C. Oppenheim,et al.  Diffusion tensor imaging in early Alzheimer's disease , 2006, Psychiatry Research: Neuroimaging.

[63]  A. Fellgiebel,et al.  Non-Linear Association between Cerebral Amyloid Deposition and White Matter Microstructure in Cognitively Healthy Older Adults. , 2015, Journal of Alzheimer's disease : JAD.

[64]  Markus Barth,et al.  A time‐efficient acquisition protocol for multipurpose diffusion‐weighted microstructural imaging at 7 Tesla , 2017, Magnetic resonance in medicine.

[65]  Paul A. Yushkevich,et al.  Deformable registration of diffusion tensor MR images with explicit orientation optimization , 2006, Medical Image Anal..

[66]  D. Altman,et al.  Comparing methods of measurement: why plotting difference against standard method is misleading , 1995, The Lancet.

[67]  B. Reisberg,et al.  Diffusion Tensor Imaging of Frontal White Matter Microstructure in Early Alzheimer’s Disease: A Preliminary Study , 2005, Journal of geriatric psychiatry and neurology.

[68]  Mark Jenkinson,et al.  The minimal preprocessing pipelines for the Human Connectome Project , 2013, NeuroImage.

[69]  Els Fieremans,et al.  Revealing mesoscopic structural universality with diffusion , 2014, Proceedings of the National Academy of Sciences.

[70]  V. Kiselev,et al.  Effect of magnetic field gradients induced by microvasculature on NMR measurements of molecular self-diffusion in biological tissues. , 2004, Journal of magnetic resonance.

[71]  P. Basser,et al.  New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter , 2004, Magnetic resonance in medicine.

[72]  F. Barkhof,et al.  Disrupted white matter structural networks in healthy older adult APOE ε4 carriers – An international multicenter DTI study , 2017, Neuroscience.

[73]  V. Kiselev,et al.  Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation , 2016, NMR in biomedicine.

[74]  H. Kawai,et al.  Evaluation of glymphatic system activity with the diffusion MR technique: diffusion tensor image analysis along the perivascular space (DTI-ALPS) in Alzheimer’s disease cases , 2017, Japanese Journal of Radiology.

[75]  Carl-Fredrik Westin,et al.  Estimation of Extracellular Volume from Regularized Multi-shell Diffusion MRI , 2012, MICCAI.

[76]  Ping Zhou,et al.  Brain Perivascular Macrophages Initiate the Neurovascular Dysfunction of Alzheimer A&bgr; Peptides , 2017, Circulation research.

[77]  P. Basser,et al.  MR diffusion tensor spectroscopy and imaging. , 1994, Biophysical journal.

[78]  R. Deriche,et al.  Design of multishell sampling schemes with uniform coverage in diffusion MRI , 2013, Magnetic resonance in medicine.

[79]  D. LeBihan IVIM method measures diffusion and perfusion. , 1990, Diagnostic imaging.

[80]  Christopher Rorden,et al.  The first step for neuroimaging data analysis: DICOM to NIfTI conversion , 2016, Journal of Neuroscience Methods.

[81]  N. Schuff,et al.  Headache and cerebral venous air embolism , 2007, Neurology.

[82]  Derek K. Jones,et al.  How and how not to correct for CSF-contamination in diffusion MRI , 2012, NeuroImage.

[83]  D. Parker,et al.  Analysis of partial volume effects in diffusion‐tensor MRI , 2001, Magnetic resonance in medicine.

[84]  A. Nawaz,et al.  Association between baseline parameters and end of treatment response to combination of conventional interferon & ribavirin in patients with chronic Hepatitis C , 2014 .

[85]  Ninon Burgos,et al.  New advances in the Clinica software platform for clinical neuroimaging studies , 2019 .

[86]  Y. Assaf,et al.  Diffusion Tensor Imaging (DTI)-based White Matter Mapping in Brain Research: A Review , 2007, Journal of Molecular Neuroscience.

[87]  Nils Daniel Forkert,et al.  Anisotropic cerebral vascular architecture causes orientation dependency in cerebral blood flow and volume measured with dynamic susceptibility contrast magnetic resonance imaging , 2016, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[88]  P. Nestor,et al.  Diffusion tensor imaging in Alzheimer's disease: insights into the limbic-diencephalic network and methodological considerations , 2014, Front. Aging Neurosci..

[89]  David R. Anderson,et al.  Multimodel Inference , 2004 .

[90]  Daniel C. Alexander,et al.  NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain , 2012, NeuroImage.

[91]  Bernard Siow,et al.  Non-invasive imaging of CSF-mediated brain clearance pathways via assessment of perivascular fluid movement with diffusion tensor MRI , 2018, eLife.

[92]  Alejandro F. Frangi,et al.  Muliscale Vessel Enhancement Filtering , 1998, MICCAI.

[93]  Aaron Trefler,et al.  Impact of time-of-day on diffusivity measures of brain tissue derived from diffusion tensor imaging , 2018, NeuroImage.

[94]  William S. Price,et al.  Suppression of background gradients in (B0 gradient‐based) NMR diffusion experiments , 2007 .

[95]  I. Bechmann,et al.  CNS pericytes: Concepts, misconceptions, and a way out , 2010, Glia.

[96]  Robert I. Reid,et al.  White matter integrity determined with diffusion tensor imaging in older adults without dementia: influence of amyloid load and neurodegeneration. , 2014, JAMA neurology.

[97]  N. Intrator,et al.  Free water elimination and mapping from diffusion MRI , 2009, Magnetic resonance in medicine.

[98]  S. Posse,et al.  Analytical model of susceptibility‐induced MR signal dephasing: Effect of diffusion in a microvascular network , 1999, Magnetic resonance in medicine.

[99]  M. O’Sullivan,et al.  White matter damage on diffusion tensor imaging correlates with age-related cognitive decline , 2006, Neurology.