Literature DB >> 20479515

Quantification of CMRO(2) without hypercapnia using simultaneous near-infrared spectroscopy and fMRI measurements.

Sungho Tak1, Jaeduck Jang, Kangjoo Lee, Jong Chul Ye.   

Abstract

Estimation of the cerebral metabolic rate of oxygen (CMRO(2)) and cerebral blood flow (CBF) is important to investigate the neurovascular coupling and physiological components in blood oxygenation level-dependent (BOLD) signals quantitatively. Although there are methods that can determine CMRO(2) changes using functional MRI (fMRI) or near-infrared spectroscopy (NIRS), current approaches require a separate hypercapnia calibration process and have the potential to incur bias in many assumed model parameters. In this paper, a novel method to estimate CMRO(2) without hypercapnia is described using simultaneous measurements of NIRS and fMRI. Specifically, an optimization framework is proposed that minimizes the differences between the two forms of the relative CMRO(2)-CBF coupling ratio from BOLD and NIRS biophysical models, from which hypercapnia calibration and model parameters are readily estimated. Based on the new methods, we found that group average CBF, CMRO(2), cerebral blood volume (CBV), and BOLD changes within activation of the primary motor cortex during a finger tapping task increased by 39.5 +/- 21.4%, 18.4 +/- 8.7%, 12.9 +/- 6.7%, and 0.5 +/- 0.2%, respectively. The group average estimated flow-metabolism coupling ratio was 2.38 +/- 0.65 and the hypercapnia parameter was 7.7 +/- 1.7%. These values are within the range of values reported from other literatures. Furthermore, the activation maps from CBF and CMRO(2) were well localized on the primary motor cortex, which is the main target region of the finger tapping task.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20479515     DOI: 10.1088/0031-9155/55/11/017

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  18 in total

1.  Which is more costly in Chinese to English simultaneous interpreting, "pairing" or "transphrasing"? Evidence from an fNIRS neuroimaging study.

Authors:  Xiaohong Lin; Victoria Lai Cheng Lei; Defeng Li; Zhen Yuan
Journal:  Neurophotonics       Date:  2018-06-05       Impact factor: 3.593

2.  Distinction of directional coupling in sensorimotor networks between active and passive finger movements using fNIRS.

Authors:  Seung Hyun Lee; Sang Hyeon Jin; Jinung An
Journal:  Biomed Opt Express       Date:  2018-05-31       Impact factor: 3.732

3.  Calibrated fMRI for dynamic mapping of CMRO2 responses using MR-based measurements of whole-brain venous oxygen saturation.

Authors:  Erin K Englund; Maria A Fernández-Seara; Ana E Rodríguez-Soto; Hyunyeol Lee; Zachary B Rodgers; Marta Vidorreta; John A Detre; Felix W Wehrli
Journal:  J Cereb Blood Flow Metab       Date:  2019-08-08       Impact factor: 6.200

4.  Calibrating the BOLD signal during a motor task using an extended fusion model incorporating DOT, BOLD and ASL data.

Authors:  Meryem A Yücel; Theodore J Huppert; David A Boas; Louis Gagnon
Journal:  Neuroimage       Date:  2012-04-23       Impact factor: 6.556

5.  fNIRS detects temporal lobe response to affective touch.

Authors:  Randi H Bennett; Danielle Z Bolling; Laura C Anderson; Kevin A Pelphrey; Martha D Kaiser
Journal:  Soc Cogn Affect Neurosci       Date:  2013-01-17       Impact factor: 3.436

6.  Further improvement in reducing superficial contamination in NIRS using double short separation measurements.

Authors:  Louis Gagnon; Meryem A Yücel; David A Boas; Robert J Cooper
Journal:  Neuroimage       Date:  2013-02-09       Impact factor: 6.556

7.  Validation of the hypercapnic calibrated fMRI method using DOT-fMRI fusion imaging.

Authors:  Meryem A Yücel; Karleyton C Evans; Juliette Selb; Theodore J Huppert; David A Boas; Louis Gagnon
Journal:  Neuroimage       Date:  2014-09-06       Impact factor: 6.556

8.  Social inclusion enhances biological motion processing: a functional near-infrared spectroscopy study.

Authors:  Danielle Z Bolling; Kevin A Pelphrey; Martha D Kaiser
Journal:  Brain Topogr       Date:  2012-09-02       Impact factor: 3.020

9.  Quantitative measurement of cerebral physiology using respiratory-calibrated MRI.

Authors:  D P Bulte; M Kelly; M Germuska; J Xie; M A Chappell; T W Okell; M G Bright; P Jezzard
Journal:  Neuroimage       Date:  2011-12-22       Impact factor: 6.556

10.  Impaired cerebral vascular and metabolic responses to parametric N-back tasks in subjective cognitive decline.

Authors:  Yaoyu Zhang; Wenying Du; Yayan Yin; Huanjie Li; Zhaowei Liu; Yang Yang; Ying Han; Jia-Hong Gao
Journal:  J Cereb Blood Flow Metab       Date:  2021-05-05       Impact factor: 6.200

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.