Literature DB >> 26661192

Time delay processing of hypercapnic fMRI allows quantitative parameterization of cerebrovascular reactivity and blood flow delays.

Manus J Donahue1, Megan K Strother2, Kimberly P Lindsey3, Lia M Hocke4, Yunjie Tong3, Blaise deB Frederick5.   

Abstract

Blood oxygenation level-dependent fMRI contrast depends on the volume and oxygenation of blood flowing through the circulatory system. The effects on image intensity depend temporally on the arrival of blood within a voxel, and signal can be monitored during the time course of such blood flow. It has been previously shown that the passage of global endogenous variations in blood volume and oxygenation can be tracked as blood passes through the brain by determining the strength and peak time lag of their cross-correlation with blood oxygenation level-dependent data. By manipulating blood composition using transient hypercarbia and hyperoxia, we can induce much larger oxygenation and volume changes in the blood oxygenation level-dependent signal than result from natural endogenous fluctuations. This technique was used to examine cerebrovascular parameters in healthy subjects (n = 8) and subjects with intracranial stenosis (n = 22), with a subgroup of intracranial stenosis subjects scanned before and after surgical revascularization (n = 6). The halfwidth of cross-correlation lag times in the brain was larger in IC stenosis subjects (21.21 ± 14.22 s) than in healthy control subjects (8.03 ± 3.67), p < 0.001, and was subsequently reduced in regions that co-localized with surgical revascularization. These data show that blood circulatory timing can be measured robustly and longitudinally throughout the brain using simple respiratory challenges.
© The Author(s) 2015.

Entities:  

Keywords:  Atherosclerosis; cerebral blood flow; cerebrovascular disease; fMRI; moyamoya; surgery/endarterectomy

Mesh:

Substances:

Year:  2015        PMID: 26661192      PMCID: PMC5076782          DOI: 10.1177/0271678X15608643

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  40 in total

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Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

2.  Geometrically accurate topology-correction of cortical surfaces using nonseparating loops.

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Review 3.  Chronic neurovascular uncoupling syndrome.

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Authors:  B Fischl; M I Sereno; A M Dale
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

5.  Bolus arrival time and cerebral blood flow responses to hypercarbia.

Authors:  Manus J Donahue; Carlos C Faraco; Megan K Strother; Michael A Chappell; Swati Rane; Lindsey M Dethrage; Jeroen Hendrikse; Jeroen C W Siero
Journal:  J Cereb Blood Flow Metab       Date:  2014-04-30       Impact factor: 6.200

6.  Arterial spin-labeling MR imaging in Moyamoya disease compared with clinical assessments and other MR imaging findings.

Authors:  Tomoyuki Noguchi; Masatou Kawashima; Masashi Nishihara; Tetsuyoshi Hirai; Toshio Matsushima; Hiroyuki Irie
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7.  An improved method for mapping cerebrovascular reserve using concurrent fMRI and near-infrared spectroscopy with Regressor Interpolation at Progressive Time Delays (RIPTiDe).

Authors:  Yunjie Tong; Peter R Bergethon; Blaise Deb Frederick
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8.  Time lag dependent multimodal processing of concurrent fMRI and near-infrared spectroscopy (NIRS) data suggests a global circulatory origin for low-frequency oscillation signals in human brain.

Authors:  Yunjie Tong; Blaise Deb Frederick
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9.  Silent cerebral infarcts occur despite regular blood transfusion therapy after first strokes in children with sickle cell disease.

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10.  Reliable quantification of BOLD fMRI cerebrovascular reactivity despite poor breath-hold performance.

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Journal:  Neuroimage       Date:  2013-07-09       Impact factor: 6.556

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  28 in total

1.  Multi-parametric analysis reveals metabolic and vascular effects driving differences in BOLD-based cerebrovascular reactivity associated with a history of sport concussion.

Authors:  Allen A Champagne; Nicole S Coverdale; Michael Germuska; Douglas J Cook
Journal:  Brain Inj       Date:  2019-07-27       Impact factor: 2.311

2.  Changes in volumetric and metabolic parameters relate to differences in exposure to sub-concussive head impacts.

Authors:  Allen A Champagne; Nicole S Coverdale; Mike Germuska; Alex A Bhogal; Douglas J Cook
Journal:  J Cereb Blood Flow Metab       Date:  2019-07-15       Impact factor: 6.200

3.  Erroneous Resting-State fMRI Connectivity Maps Due to Prolonged Arterial Arrival Time and How to Fix Them.

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4.  Impact of vessel wall lesions and vascular stenoses on cerebrovascular reactivity in patients with intracranial stenotic disease.

Authors:  Petrice M Cogswell; Taylor L Davis; Megan K Strother; Carlos C Faraco; Allison O Scott; Lori C Jordan; Matthew R Fusco; Blaise deB Frederick; Jeroen Hendrikse; Manus J Donahue
Journal:  J Magn Reson Imaging       Date:  2017-01-06       Impact factor: 4.813

Review 5.  Cerebrovascular reactivity (CVR) MRI with CO2 challenge: A technical review.

Authors:  Peiying Liu; Jill B De Vis; Hanzhang Lu
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6.  Clinical Use of Cerebrovascular Compliance Imaging to Evaluate Revascularization in Patients With Moyamoya.

Authors:  Jennifer M Watchmaker; Blaise deB Frederick; Matthew R Fusco; Larry T Davis; Meher R Juttukonda; Sarah K Lants; Howard S Kirshner; Manus J Donahue
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7.  Perfusion information extracted from resting state functional magnetic resonance imaging.

Authors:  Yunjie Tong; Kimberly P Lindsey; Lia M Hocke; Gordana Vitaliano; Dionyssios Mintzopoulos; Blaise deB Frederick
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Review 8.  Neuroimaging of vascular reserve in patients with cerebrovascular diseases.

Authors:  Meher R Juttukonda; Manus J Donahue
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9.  Planning-free cerebral blood flow territory mapping in patients with intracranial arterial stenosis.

Authors:  Daniel F Arteaga; Megan K Strother; L Taylor Davis; Matthew R Fusco; Carlos C Faraco; Brent A Roach; Allison O Scott; Manus J Donahue
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

10.  Classifying intracranial stenosis disease severity from functional MRI data using machine learning.

Authors:  Spencer L Waddle; Meher R Juttukonda; Sarah K Lants; Larry T Davis; Rohan Chitale; Matthew R Fusco; Lori C Jordan; Manus J Donahue
Journal:  J Cereb Blood Flow Metab       Date:  2019-05-08       Impact factor: 6.200

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