Impaired dynamic cerebrovascular response to hypercapnia predicts development of white matter hyperintensities

Purpose To evaluate the relationship between both dynamic and steady-state measures of cerebrovascular reactivity (CVR) and the progression of age-related white matter disease. Methods Blood oxygen level-dependent (BOLD) MRI CVR scans were acquired from forty-five subjects (age range: 50–90 years, 25 males) with moderate to severe white matter disease, at baseline and one-year follow-up. To calculate the dynamic (τ) and steady-state (ssCVR) components of the BOLD signal response, the PETCO2 signal waveform was convolved with an exponential decay function. The τ corresponding to the best fit between the convolved PETCO2 and BOLD signal defined the speed of response, and the slope of the regression between the convolved PETCO2 and BOLD signal defined ssCVR. ssCVR and τ were compared between normal-appearing white matter (NAWM) that remains stable over time and NAWM that progresses to white matter hyperintensities (WMHs). Results In comparison to contralateral NAWM, NAWM that progressed to WMH had significantly lower ssCVR values by mean (SD) 46.5 (7.6)%, and higher τ values by 31.9 (9.6)% (both P < 0.01). Conclusions Vascular impairment in regions of NAWM that progresses to WMH consists not only of decreased magnitude of ssCVR, but also a pathological decrease in the speed of vascular response. These findings support the association between cerebrovascular dysregulation and the development of WMH.

[1]  Joseph A. Fisher,et al.  A conceptual model for CO2-induced redistribution of cerebral blood flow with experimental confirmation using BOLD MRI , 2014, NeuroImage.

[2]  Ravi S. Menon,et al.  Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging. A comparison of signal characteristics with a biophysical model. , 1993, Biophysical journal.

[3]  James Duffin,et al.  Prospective targeting and control of end‐tidal CO2 and O2 concentrations , 2007, The Journal of physiology.

[4]  W. Steinbrich,et al.  Regional cerebral blood flow in patients with leuko-araiosis and atherosclerotic carotid artery disease. , 1990, Archives of neurology.

[5]  Nick C Fox,et al.  Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration , 2013, The Lancet Neurology.

[6]  C. Enzinger,et al.  The natural course of MRI white matter hyperintensities , 2002, Journal of the Neurological Sciences.

[7]  C. Moleiro,et al.  White matter changes and diabetes predict cognitive decline in the elderly , 2010, Neurology.

[8]  J. Toole,et al.  The prevalence and severity of white matter lesions, their relationship with age, ethnicity, gender, and cardiovascular disease risk factors: the ARIC Study. , 1997, Neuroepidemiology.

[9]  Geoffrey A. Donnan,et al.  Comparison of Computed Tomography Perfusion and Magnetic Resonance Imaging Perfusion-Diffusion Mismatch in Ischemic Stroke , 2012, Stroke.

[10]  F Fazekas,et al.  Deep frontal and periventricular age related white matter changes but not basal ganglia and infratentorial hyperintensities are associated with falls: cross sectional results from the LADIS study , 2009, Journal of Neurology, Neurosurgery, and Psychiatry.

[11]  T. Erkinjuntti,et al.  White matter changes in healthy elderly persons correlate with attention and speed of mental processing. , 1993, Archives of neurology.

[12]  H Lechner,et al.  White matter signal abnormalities in normal individuals: correlation with carotid ultrasonography, cerebral blood flow measurements, and cerebrovascular risk factors. , 1988, Stroke.

[13]  David J Mikulis,et al.  Mapping Cerebrovascular Reactivity Using Blood Oxygen Level-Dependent MRI in Patients With Arterial Steno-occlusive Disease: Comparison With Arterial Spin Labeling MRI , 2008, Stroke.

[14]  G. Román,et al.  Senile dementia of the Binswanger type. A vascular form of dementia in the elderly. , 1987, JAMA.

[15]  M. Reivich,et al.  Response time of cerebral arterioles to alterations in extravascular fluid pH. , 1977, Microvascular research.

[16]  Yasuo Nishihara,et al.  Why do frontal lobe symptoms predominate in vascular dementia with lacunes? , 1986, Neurology.

[17]  Joseph A Fisher,et al.  The CO2 stimulus for cerebrovascular reactivity: Fixing inspired concentrations vs. targeting end-tidal partial pressures , 2016, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[18]  David J Mikulis,et al.  CO2 blood oxygen level-dependent MR mapping of cerebrovascular reserve in a clinical population: safety, tolerability, and technical feasibility. , 2013, Radiology.

[19]  Hanzhang Lu,et al.  In vivo vascular hallmarks of diffuse leukoaraiosis , 2010, Journal of Magnetic Resonance Imaging.

[20]  M. Goyal,et al.  State-of-the-art imaging of acute stroke. , 2006, Radiographics : a review publication of the Radiological Society of North America, Inc.

[21]  R W Cox,et al.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.

[22]  A. Crawley,et al.  Measurement of Cerebrovascular Reactivity in Pediatric Patients With Cerebral Vasculopathy Using Blood Oxygen Level-Dependent MRI , 2011, Stroke.

[23]  R. Hoge,et al.  Comparison of Cerebral Vascular Reactivity Measures Obtained Using Breath-Holding and CO2 Inhalation , 2013, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[24]  Brian Levine,et al.  Lesion Explorer: A comprehensive segmentation and parcellation package to obtain regional volumetrics for subcortical hyperintensities and intracranial tissue , 2011, NeuroImage.

[25]  Christopher J.M. Scott,et al.  Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly , 2014, Journal of visualized experiments : JoVE.

[26]  D J Mikulis,et al.  Measuring cerebrovascular reactivity: what stimulus to use? , 2013, The Journal of physiology.

[27]  L. Sokoloff,et al.  Relationships among local functional activity, energy metabolism, and blood flow in the central nervous system. , 1981, Federation proceedings.

[28]  E. Shapiro,et al.  HUMAN CEREBROVASCULAR RESPONSE TIME TO ELEVATION OF ARTERIAL CARBON DIOXIDE TENSION. , 1965, Archives of neurology.

[29]  R. Baloh,et al.  A prospective study of cerebral white matter abnormalities in older people with gait dysfunction , 2001, Neurology.

[30]  E. Englund Neuropathology of White Matter Lesions in Vascular Cognitive Impairment , 2002, Cerebrovascular Diseases.

[31]  F. Gunning-Dixon,et al.  The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. , 2000, Neuropsychology.

[32]  David J Mikulis,et al.  Assessing the effect of unilateral cerebral revascularisation on the vascular reactivity of the non-intervened hemisphere: a retrospective observational study , 2015, BMJ Open.

[33]  Paul Dufort,et al.  Measuring Cerebrovascular Reactivity: The Dynamic Response to a Step Hypercapnic Stimulus , 2015, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[34]  A. Hofman,et al.  Regional Variability in the Prevalence of Cerebral White Matter Lesions: An MRI Study in 9 European Countries (CASCADE) , 2005, Neuroepidemiology.

[35]  James Duffin,et al.  Assessing Cerebrovascular Reactivity Abnormality by Comparison to a Reference Atlas , 2015, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.