Literature DB >> 17406659

Dynamic forcing of end-tidal carbon dioxide and oxygen applied to functional magnetic resonance imaging.

Richard G Wise1, Kyle T S Pattinson, Daniel P Bulte, Peter A Chiarelli, Stephen D Mayhew, George M Balanos, David F O'Connor, Timothy R Pragnell, Peter A Robbins, Irene Tracey, Peter Jezzard.   

Abstract

Investigations into the blood oxygenation level-dependent (BOLD) functional MRI signal have used respiratory challenges with the aim of probing cerebrovascular physiology. Such challenges have altered the inspired partial pressures of either carbon dioxide or oxygen, typically to a fixed and constant level (fixed inspired challenge (FIC)). The resulting end-tidal gas partial pressures then depend on the subject's metabolism and ventilatory responses. In contrast, dynamic end-tidal forcing (DEF) rapidly and independently sets end-tidal oxygen and carbon dioxide to desired levels by altering the inspired gas partial pressures on a breath-by-breath basis using computer-controlled feedback. This study implements DEF in the MRI environment to map BOLD signal reactivity to CO(2). We performed BOLD (T2(*)) contrast FMRI in four healthy male volunteers, while using DEF to provide a cyclic normocapnic-hypercapnic challenge, with each cycle lasting 4 mins (PET(CO(2)) mean+/-s.d., from 40.9+/-1.8 to 46.4+/-1.6 mm Hg). This was compared with a traditional fixed-inspired (FI(CO(2))=5%) hypercapnic challenge (PET(CO(2)) mean+/-s.d., from 38.2+/-2.1 to 45.6+/-1.4 mm Hg). Dynamic end-tidal forcing achieved the desired target PET(CO(2)) for each subject while maintaining PET(O(2)) constant. As a result of CO(2)-induced increases in ventilation, the FIC showed a greater cyclic fluctuation in PET(O(2)). These were associated with spatially widespread fluctuations in BOLD signal that were eliminated largely by the control of PET(O(2)) during DEF. The DEF system can provide flexible, convenient, and physiologically well-controlled respiratory challenges in the MRI environment for mapping dynamic responses of the cerebrovasculature.

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Year:  2007        PMID: 17406659     DOI: 10.1038/sj.jcbfm.9600465

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


  55 in total

1.  Controlled inspiration depth reduces variance in breath-holding-induced BOLD signal.

Authors:  Moriah E Thomason; Gary H Glover
Journal:  Neuroimage       Date:  2007-08-24       Impact factor: 6.556

2.  Cerebrovascular reactivity in the brain white matter: magnitude, temporal characteristics, and age effects.

Authors:  Binu P Thomas; Peiying Liu; Denise C Park; Matthias J P van Osch; Hanzhang Lu
Journal:  J Cereb Blood Flow Metab       Date:  2013-11-06       Impact factor: 6.200

3.  The Possible Role of CO(2) in Producing A Post-Stimulus CBF and BOLD Undershoot.

Authors:  Meryem A Yücel; Anna Devor; Ata Akin; David A Boas
Journal:  Front Neuroenergetics       Date:  2009-11-18

4.  Assessing cerebrovascular reactivity by the pattern of response to progressive hypercapnia.

Authors:  Joseph A Fisher; Olivia Sobczyk; Adrian Crawley; Julien Poublanc; Paul Dufort; Lashmi Venkatraghavan; Kevin Sam; David Mikulis; James Duffin
Journal:  Hum Brain Mapp       Date:  2017-04-03       Impact factor: 5.038

5.  Effect of hypoxia and hyperoxia on cerebral blood flow, blood oxygenation, and oxidative metabolism.

Authors:  Feng Xu; Peiying Liu; Juan M Pascual; Guanghua Xiao; Hanzhang Lu
Journal:  J Cereb Blood Flow Metab       Date:  2012-06-27       Impact factor: 6.200

6.  The impact of physiologic noise correction applied to functional MRI of pain at 1.5 and 3.0 T.

Authors:  Keith M Vogt; James W Ibinson; Petra Schmalbrock; Robert H Small
Journal:  Magn Reson Imaging       Date:  2011-05-14       Impact factor: 2.546

7.  Cerebrovascular reactivity mapping using intermittent breath modulation.

Authors:  Peiying Liu; Cuimei Xu; Zixuan Lin; Sandeepa Sur; Yang Li; Sevil Yasar; Paul Rosenberg; Marilyn Albert; Hanzhang Lu
Journal:  Neuroimage       Date:  2020-04-08       Impact factor: 6.556

8.  Non-invasive prospective targeting of arterial P(CO2) in subjects at rest.

Authors:  Shoji Ito; Alexandra Mardimae; Jay Han; James Duffin; Greg Wells; Ludwik Fedorko; Leonid Minkovich; Rita Katznelson; Massimiliano Meineri; Tamara Arenovich; Cathie Kessler; Joseph A Fisher
Journal:  J Physiol       Date:  2008-06-19       Impact factor: 5.182

9.  Routine clinical evaluation of cerebrovascular reserve capacity using carbogen in patients with intracranial stenosis.

Authors:  Manus J Donahue; Lindsey M Dethrage; Carlos C Faraco; Lori C Jordan; Paul Clemmons; Robert Singer; J Mocco; Yu Shyr; Aditi Desai; Anne O'Duffy; Derek Riebau; Lisa Hermann; John Connors; Howard Kirshner; Megan K Strother
Journal:  Stroke       Date:  2014-06-17       Impact factor: 7.914

10.  An analysis of the use of hyperoxia for measuring venous cerebral blood volume: comparison of the existing method with a new analysis approach.

Authors:  Nicholas P Blockley; Valerie E M Griffeth; Michael A Germuska; Daniel P Bulte; Richard B Buxton
Journal:  Neuroimage       Date:  2013-01-28       Impact factor: 6.556

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