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Cerebral vasomotor reactivity assessment using Transcranial Doppler and MRI with apnea test

Overview of attention for article published in Brazilian Journal of Medical and Biological Research, January 2016
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Title
Cerebral vasomotor reactivity assessment using Transcranial Doppler and MRI with apnea test
Published in
Brazilian Journal of Medical and Biological Research, January 2016
DOI 10.1590/1414-431x20165437
Pubmed ID
Authors

C.R. Herrera Campos, G.C. Beltramini, W.M. Avelar, F.O. Lima, L.M. Li

Abstract

Differently from previous studies that used Transcranial Doppler (TCD) and functional MRI (fMRI) for cerebral vasomotor reactivity (CVR) assessment in patients with carotid stenosis (CS), we assessed CVR using an identical stimulus, the Breath-Holding Test (BHT). We included 15 patients with CS and 7 age-matched controls to verify whether fMRI responded differently to BHT between groups and to calculate the agreement rate between tests. For TCD, impaired CVR was defined when the mean percentage increase on middle cerebral artery velocities was ≤31% on 3 consecutive 30-s apnea intercalated by 4-min normal breathing intervals. For fMRI, the percent variation on blood oxygen level-dependent (BOLD) signal intensity in the lentiform nucleus (LN) ipsilateral to the CS (or both LNs for controls) from baseline breathing to apnea was measured. The Euclidian differences between the series of each subject and the series of controls and patients classified it into normal or impaired CVR. We found different percent variations on BOLD-signal intensities between groups (P=0.032). The agreement was good in Controls (85.7%; κ=0.69) and overall (77.3%; κ=0.54). We conclude that BHT was feasible for CVR assessment on fMRI and elicited different BOLD responses in patients and controls, with a good overall agreement between the tests.

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Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 16%
Researcher 6 16%
Student > Ph. D. Student 6 16%
Student > Bachelor 5 14%
Student > Postgraduate 2 5%
Other 4 11%
Unknown 8 22%
Readers by discipline Count As %
Medicine and Dentistry 13 35%
Neuroscience 7 19%
Engineering 4 11%
Mathematics 1 3%
Nursing and Health Professions 1 3%
Other 4 11%
Unknown 7 19%