Literature DB >> 24371029

Imaging the effects of oxygen saturation changes in voluntary apnea and hyperventilation on susceptibility-weighted imaging.

K Chang1, S Barnes2, E M Haacke3, R I Grossman1, Y Ge4.   

Abstract

BACKGROUND AND
PURPOSE: Cerebrovascular oxygenation changes during respiratory challenges have clinically important implications for brain function, including cerebral autoregulation and the rate of brain metabolism. SWI is sensitive to venous oxygenation level by exploitation of the magnetic susceptibility of deoxygenated blood. We assessed cerebral venous blood oxygenation changes during simple voluntary breath-holding (apnea) and hyperventilation by use of SWI at 3T.
MATERIALS AND METHODS: We performed SWI scans (3T; acquisition time of 1 minute, 28 seconds; centered on the anterior commissure and the posterior commissure) on 10 healthy male volunteers during baseline breathing as well as during simple voluntary hyperventilation and apnea challenges. The hyperventilation and apnea tasks were separated by a 5-minute resting period. SWI venograms were generated, and the signal changes on SWI before and after the respiratory stress tasks were compared by means of a paired Student t test.
RESULTS: Changes in venous vasculature visibility caused by the respiratory challenges were directly visualized on the SWI venograms. The venogram segmentation results showed that voluntary apnea decreased the mean venous blood voxel number by 1.6% (P < .0001), and hyperventilation increased the mean venous blood voxel number by 2.7% (P < .0001). These results can be explained by blood CO2 changes secondary to the respiratory challenges, which can alter cerebrovascular tone and cerebral blood flow and ultimately affect venous oxygen levels.
CONCLUSIONS: These results highlight the sensitivity of SWI to simple and noninvasive respiratory challenges and its potential utility in assessing cerebral hemodynamics and vasomotor responses.
© 2014 by American Journal of Neuroradiology.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24371029      PMCID: PMC4057294          DOI: 10.3174/ajnr.A3818

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  27 in total

Review 1.  The neural basis of functional brain imaging signals.

Authors:  David Attwell; Costantino Iadecola
Journal:  Trends Neurosci       Date:  2002-12       Impact factor: 13.837

2.  Complex threshold method for identifying pixels that contain predominantly noise in magnetic resonance images.

Authors:  Daniel S J Pandian; Carlo Ciulla; E Mark Haacke; Jing Jiang; Muhammad Ayaz
Journal:  J Magn Reson Imaging       Date:  2008-09       Impact factor: 4.813

3.  Improving susceptibility mapping using a threshold-based K-space/image domain iterative reconstruction approach.

Authors:  J Tang; S Liu; J Neelavalli; Y C N Cheng; S Buch; E M Haacke
Journal:  Magn Reson Med       Date:  2012-06-26       Impact factor: 4.668

4.  An adaptive segmentation algorithm for time-of-flight MRA data.

Authors:  D L Wilson; J A Noble
Journal:  IEEE Trans Med Imaging       Date:  1999-10       Impact factor: 10.048

5.  Semiautomated detection of cerebral microbleeds in magnetic resonance images.

Authors:  Samuel R S Barnes; E Mark Haacke; Muhammad Ayaz; Alexander S Boikov; Wolff Kirsch; Dan Kido
Journal:  Magn Reson Imaging       Date:  2011-05-14       Impact factor: 2.546

6.  Susceptibility mapping as a means to visualize veins and quantify oxygen saturation.

Authors:  E M Haacke; J Tang; J Neelavalli; Y C N Cheng
Journal:  J Magn Reson Imaging       Date:  2010-09       Impact factor: 4.813

Review 7.  Cerebrovascular reactivity to carbon dioxide in Alzheimer's disease.

Authors:  Lidia Glodzik; Catherine Randall; Henry Rusinek; Mony J de Leon
Journal:  J Alzheimers Dis       Date:  2013       Impact factor: 4.472

8.  Diminished visibility of cerebral venous vasculature in multiple sclerosis by susceptibility-weighted imaging at 3.0 Tesla.

Authors:  Yulin Ge; Vahe M Zohrabian; Etin-Osa Osa; Jian Xu; Hina Jaggi; Joseph Herbert; E Mark Haacke; Robert I Grossman
Journal:  J Magn Reson Imaging       Date:  2009-05       Impact factor: 4.813

9.  Signal changes in the brain on susceptibility-weighted imaging under reduced cerebral blood flow: a preliminary study.

Authors:  Yasutaka Fushimi; Yukio Miki; Nobuyuki Mori; Tsutomu Okada; Shin-ichi Urayama; Hidenao Fukuyama; Kaori Togashi
Journal:  J Neuroimaging       Date:  2009-01-30       Impact factor: 2.486

10.  Investigations on the effect of caffeine on cerebral venous vessel contrast by using susceptibility-weighted imaging (SWI) at 1.5, 3 and 7 T.

Authors:  Jan Sedlacik; Katharina Helm; Alexander Rauscher; Jörg Stadler; Hans-Joachim Mentzel; Jürgen R Reichenbach
Journal:  Neuroimage       Date:  2007-12-08       Impact factor: 6.556

View more
  8 in total

1.  Evaluation of renal dysfunction using texture analysis based on DWI, BOLD, and susceptibility-weighted imaging.

Authors:  Jiule Ding; Zhaoyu Xing; Zhenxing Jiang; Hua Zhou; Jia Di; Jie Chen; Jianguo Qiu; Shengnan Yu; Liqiu Zou; Wei Xing
Journal:  Eur Radiol       Date:  2018-12-17       Impact factor: 5.315

2.  Brain venular pattern by 7T MRI correlates with memory and haemoglobin in sickle cell anaemia.

Authors:  Enrico M Novelli; C Elizabeth Sarles; Howard Jay Aizenstein; Tamer S Ibrahim; Meryl A Butters; Anne Connelly Ritter; Kirk I Erickson; Caterina Rosano
Journal:  Psychiatry Res       Date:  2015-04-25       Impact factor: 3.222

3.  Reliability of cerebral vein volume quantification based on susceptibility-weighted imaging.

Authors:  K Egger; A K Dempfle; S Yang; R Schwarzwald; A Harloff; H Urbach
Journal:  Neuroradiology       Date:  2016-06-23       Impact factor: 2.804

Review 4.  Susceptibility-weighted imaging: current status and future directions.

Authors:  Saifeng Liu; Sagar Buch; Yongsheng Chen; Hyun-Seok Choi; Yongming Dai; Charbel Habib; Jiani Hu; Joon-Yong Jung; Yu Luo; David Utriainen; Meiyun Wang; Dongmei Wu; Shuang Xia; E Mark Haacke
Journal:  NMR Biomed       Date:  2016-05-18       Impact factor: 4.044

5.  Decreased oxygen saturation levels in neonates with transposition of great arteries: Impact on appearance of cerebral veins in susceptibility-weighted imaging.

Authors:  Rajeev Kumar Verma; Desislava Keller; Sebastian Grunt; Sandra Bigi; Christian Weisstanner; Roland Wiest; Jan Gralla; Damian Hutter; Bendicht Wagner
Journal:  Sci Rep       Date:  2017-11-13       Impact factor: 4.379

6.  Quantification of cerebral veins in patients with acute migraine with aura: A fully automated quantification algorithm using susceptibility-weighted imaging.

Authors:  Philipe Sebastian Breiding; Frauke Kellner-Weldon; Lorenz Grunder; Adrian Scutelnic; Urs Fischer; Thomas Raphael Meinel; Nedelina Slavova; Jan Gralla; Marwan El-Koussy; Niklaus Denier
Journal:  PLoS One       Date:  2020-06-03       Impact factor: 3.240

7.  Reduced white matter venous density on MRI is associated with neurodegeneration and cognitive impairment in the elderly.

Authors:  Chenyang Li; Henry Rusinek; Jingyun Chen; Louisa Bokacheva; Alok Vedvyas; Arjun V Masurkar; E Mark Haacke; Thomas Wisniewski; Yulin Ge
Journal:  Front Aging Neurosci       Date:  2022-09-01       Impact factor: 5.702

8.  Cardiac and Respiratory Influences on Intracranial and Neck Venous Flow, Estimated Using Real-Time Phase-Contrast MRI.

Authors:  Maria Marcella Laganà; Alice Pirastru; Francesca Ferrari; Sonia Di Tella; Marta Cazzoli; Laura Pelizzari; Ning Jin; Domenico Zacà; Noam Alperin; Giuseppe Baselli; Francesca Baglio
Journal:  Biosensors (Basel)       Date:  2022-08-08
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.