Neurovascular decoupling is associated with severity of cerebral amyloid angiopathy

Neurology

Volumn 81, Issue 19, 2013, Pages 1659-1665

  Peca, Stefano ^a   McCreary, Cheryl R ^a   Donaldson, Emily ^a   Kumarpillai, Gopukumar ^a   Shobha, Nandavar ^a   Sanchez, Karla ^a   Charlton, Anna ^a   Steinback, Craig D ^a   Beaudin, Andrew E ^a   Flück, Daniela ^a,b   Pillay, Neelan ^a   Fick, Gordon H ^a   Poulin, Marc J ^a,c   Frayne, Richard ^a,c   Goodyear, Bradley G ^a,c   Smith, Eric E ^a,c  

^a UNIVERSITY OF CALGARY   (Canada)

^b ETH ZURICH   (Switzerland)

^c UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ARTICLE; BLOOD VESSEL REACTIVITY; BRAIN BLOOD FLOW; CARBON DIOXIDE BREATHING; CLINICAL ARTICLE; COHORT ANALYSIS; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DISEASE SEVERITY; DOPPLER ECHOGRAPHY; ELECTROENCEPHALOGRAM; EVOKED VISUAL RESPONSE; FEMALE; FRONTAL LOBE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; MALE; MIDDLE CEREBRAL ARTERY; MOTOR CORTEX; NUCLEAR MAGNETIC RESONANCE SCANNER; POSTERIOR CEREBRAL ARTERY; PRIMARY MOTOR CORTEX; PRIORITY JOURNAL; PROSPECTIVE STUDY; STRIATE CORTEX; VASCULAR AMYLOIDOSIS; VASODILATATION; VISUAL CORTEX; VISUAL FIELD DEFECT; WHITE MATTER LESION;

AGED; BRAIN; CARBON DIOXIDE; CEREBRAL AMYLOID ANGIOPATHY; CEREBRAL ARTERIES; COHORT STUDIES; CROSS-SECTIONAL STUDIES; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, VISUAL; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; OXYGEN; PHOTIC STIMULATION; ULTRASONOGRAPHY, DOPPLER, TRANSCRANIAL;

EID: 84888222982     PISSN: 00283878     EISSN: 1526632X     Source Type: Journal    
DOI: 10.1212/01.wnl.0000435291.49598.54     Document Type: Article

References (23)

1. Knudsen KA, Rosand J, Karluk D, Greenberg SM. Clinical diagnosis of cerebral amyloid angiopathy: validation of the Boston criteria. Neurology 2001;56:537-539.
2. Shin HK, Jones PB, Garcia-Alloza M, et al. Age-dependent cerebrovascular dysfunction in a transgenic mouse model of cerebral amyloid angiopathy. Brain 2007;130:2310-2319.
3. Smith EE, Vijayappa M, Lima F, et al. Impaired visual evoked flow velocity response in cerebral amyloid angiopathy. Neurology 2008;71:1424-1430.
4. Dumas A, Dierksen GA, Gurol ME, et al. Functional magnetic resonance imaging detection of vascular reactivity in cerebral amyloid angiopathy. Ann Neurol 2012;72:76-81.
5. Linn J, Halpin A, Demaerel P, et al. Prevalence of superficial siderosis in patients with cerebral amyloid angiopathy. Neurology 2010;74:1346-1350.
6. Winblad B, Palmer K, Kivipelto M, et al. Mild cognitive impairment-beyond controversies, towards a consensus: report of the International Working Group on Mild Cognitive Impairment. J Intern Med 2004;256:240-246.
7. Tomasi C, Manduchi R. Bilateral filtering for gray and color images. In: Proceedings of the 6th International Conference on Computer Vision; January 4-7, 1998; Bombay, India. New Delhi: Narosa Publishing House; 1998:839-846.
8. Styner M, Brechbuhler C, Szekely G, Gerig G. Parametric estimate of intensity inhomogeneities applied to MRI. IEEE Trans Med Imaging 2000;19:153-165.
9. Ferguson KJ, Wardlaw JM, Edmond CL, Deary IJ, MacLullich AM. Intracranial area: a validated method for estimating intracranial volume. J Neuroimaging 2005;15: 76-78.
10. Smith SM. Fast robust automated brain extraction. Hum Brain Mapp 2002;17:143-155.
11. Smith SM, Zhang Y, Jenkinson M, et al. Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. Neuroimage 2002;17:479-489.
12. Harris AD, Ide K, Poulin MJ, Frayne R. Control of endtidal PCO2 reduces middle cerebral artery blood velocity variability: implications for physiological neuroimaging. Neuroimage 2006;29:1272-1277.
13. American Clinical Neurophysiology Society. Guideline 9B: guidelines on visual evoked potentials. J Clin Neurophysiol 2006;23:138-156.
14. Bonmassar G, Anami K, Ives J, Belliveau JW. Visual evoked potential (VEP) measured by simultaneous 64-channel EEG and 3T fMRI. Neuroreport 1999;10:1893-1897.
15. Zaletel M, Strucl M, Pretnar-Oblak J, Zvan B. Age-related changes in the relationship between visual evoked potentials and visually evoked cerebral blood flow velocity response. Funct Neurol 2005;20:115-120.
16. Niven DJ, Berthiaume LR, Fick GH, Laupland KB. Matched case-control studies: a review of reported statistical methodology. Clin Epidemiol 2012;4:99-110.
17. Vinters HV, Gilbert JJ. Cerebral amyloid angiopathy: incidence and complications in the aging brain. II. The distribution of amyloid vascular changes. Stroke 1983;14: 924-928.
18. Johnson KA, Gregas M, Becker JA, et al. Imaging of amyloid burden and distribution in cerebral amyloid angiopathy. Ann Neurol 2007;62:229-234.
19. Ly JV, Donnan GA, Villemagne VL, et al. 11C-PIB binding is increased in patients with cerebral amyloid angiopathy-related hemorrhage. Neurology 2010;74: 487-493.
20. Grolimund P, Seiler RW, Aaslid R, Huber P, Zurbruegg H. Evaluation of cerebrovascular disease by combined extracranial and transcranial Doppler sonography: experience in 1,039 patients. Stroke 1987;18:1018-1024.
21. Bateman RJ, Xiong C, Benzinger TL, et al. Clinical and biomarker changes in dominantly inherited Alzheimer's disease. N Engl J Med 2012;367:795-804.
22. Smith EE, Schneider JL, Wardlaw J, Greenberg SM. Cerebral microinfarcts: the invisible lesions. Lancet Neurol 2012;11:272-282.
23. Holland CM, Smith EE, Csapo I, et al. Spatial distribution of white-matter hyperintensities in Alzheimer disease, cerebral amyloid angiopathy, and healthy aging. Stroke 2008;39:1127-1133.