Brain mitochondrial oxidative metabolism during and after cerebral hypoxia–ischemia studied by simultaneous phosphorus magnetic-resonance and broadband near-infrared spectroscopy

Bainbridge, Alan; Tachtsidis, Ilias; Faulkner, Stuart; Price, David L.; Zhu, Tingting; Baer, E.; Broad, Kevin D.; Thomas, David L.; Cady, Ernest B.; Robertson, Nicola J.; Golay, Xavier

doi:10.1016/j.neuroimage.2013.08.016

Cited by 78 publications

(96 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Numerous experimental and clinical studies have been carried out to delineate the biological basis of optical signals obtained from healthy and injured brain. These studies present sound evidence that NIRS-derived changes in chromophore concentrations can act as markers of cerebral physiology and pathology; the results offer significant insights into the feasibility of NIRS for observation of functional activation [5,6], detection of autoregulation or metabolic failure during routine surgery or after brain injury [7,8], and assessment of impending neurological damage due to hypoxia-ischemia (HI) in adults or neonates [9][10][11].…”

Section: Introductionmentioning

confidence: 89%

“…The study described here was based on a well-established animal model of human neonatal HI and involved newborn piglets aged less than 24 h. The piglet NIRS data used have been presented in a recent publication by Bainbridge et al [11]. As outlined therein, all experiments were carried out in accordance with UK Home Office Guidelines.…”

Section: Cerebral Nirs Measurementsmentioning

confidence: 99%

“…Transmission mode NIRS measurements were obtained with an in-house broadband system that has been detailed elsewhere [11]. An optode positioned stereotactically against the left side of the piglet head delivered light from a stabilized tungsten halogen source.…”

Section: Cerebral Nirs Measurementsmentioning

confidence: 99%

“…A baseline optical pathlength was first estimated using the second differential of the 840-nm water feature and assuming a fixed cerebral water content of 85% [11]; wavelength-dependent correction factors were then applied to calculate β(λ 1 ) through β(λ n ) [9,11,[17][18][19]. The differential pathlengths calculated for all 18 datasets averaged to 24.3 cm at 780 nm and to 19.8 cm at 900 nm, implying a ~19% decrease over the wavelength range considered.…”

Section: Quantification Of Changes In Cerebral Chromophore Concentratmentioning

confidence: 99%

See 3 more Smart Citations

Optimal wavelength combinations for near-infrared spectroscopic monitoring of changes in brain tissue hemoglobin and cytochrome c oxidase concentrations

Arifler

Zhu

Madaan

et al. 2015

Biomed. Opt. Express

View full text Add to dashboard Cite

Abstract:We analyze broadband near-infrared spectroscopic measurements obtained from newborn piglets subjected to hypoxia-ischemia and we aim to identify optimal wavelength combinations for monitoring cerebral tissue chromophores. We implement an optimization routine based on the genetic algorithm to perform a heuristic search for discrete wavelength combinations that can provide accurate concentration information when benchmarked against the gold standard of 121 wavelengths. The results indicate that it is possible to significantly reduce the number of measurement wavelengths used in conjunction with spectroscopic algorithms and still achieve a high performance in estimating changes in concentrations of oxyhemoglobin, deoxyhemoglobin, and oxidized cytochrome c oxidase. While the use of a 3-wavelength combination leads to mean recovery errors of up to 10%, these errors drop to less than 4% with 4 or 5 wavelengths and to even less than 2% with 8 wavelengths.

show abstract

Section: Introductionmentioning

confidence: 89%

Section: Cerebral Nirs Measurementsmentioning

confidence: 99%

Section: Cerebral Nirs Measurementsmentioning

confidence: 99%

Section: Quantification Of Changes In Cerebral Chromophore Concentratmentioning

confidence: 99%

See 2 more Smart Citations

Optimal wavelength combinations for near-infrared spectroscopic monitoring of changes in brain tissue hemoglobin and cytochrome c oxidase concentrations

Arifler

Zhu

Madaan

et al. 2015

Biomed. Opt. Express

View full text Add to dashboard Cite

show abstract

“…Applications of these techniques to the investigation of a specific physiology/pathology will be discussed without detailed description. Interested readers are referred to recent review articles on the applications of 31 P-MRS/MRI in metabolic characterization of skeletal muscle (10)(11)(12), heart (13), brain (14), and liver (11), as well as in diseases such as cancer (15), heart failure (16), and obesity and diabetes (17,18).…”

Section: Review Articlementioning

confidence: 99%

Assessing tissue metabolism by phosphorous-31 magnetic resonance spectroscopy and imaging: a methodology review

Liu

2017

Quant. Imaging Med. Surg.

View full text Add to dashboard Cite

Many human diseases are caused by an imbalance between energy production and demand.Magnetic resonance spectroscopy (MRS) and magnetic resonance imaging (MRI) provide the unique opportunity for in vivo assessment of several fundamental events in tissue metabolism without the use of ionizing radiation. Of particular interest, phosphate metabolites that are involved in ATP generation and utilization can be quantified noninvasively by phosphorous-31 ( 31 P) MRS/MRI. Furthermore, 31 P magnetization transfer (MT) techniques allow in vivo measurement of metabolic fluxes via creatine kinase (CK) and ATP synthase. However, a major impediment for the clinical applications of 31 P-MRS/MRI is the prohibitively long acquisition time and/or the low spatial resolution that are necessary to achieve adequate signal-to-noise ratio. P-MRS/MRI techniques. Applications of these techniques to the investigation of a specific physiology/pathology will be discussed without detailed description. Interested readers are referred to recent review articles on the applications of 31 P-MRS/MRI in metabolic characterization of skeletal muscle (10-12), heart (13), brain (14), and liver (11), as well as in diseases such as cancer (15), heart failure (16), and obesity and diabetes (17,18). Historical perspectiveThe use of 31 P-MRS for metabolic investigations dates back to 1960. Cohn and Hughes were the first to obtain a high-resolution 31 P spectrum of a solution of ATP (19). In addition, they also observed a dependence of the chemical shifts of the phosphorus nuclei of ATP on the pH of the solution. In parallel to the early development of MRI methods by Lauterbur (20), the entire 1970s also witnessed the rapid advance of 31 P-MRS in metabolic investigation of a broad range of biological systems. In 1973, Moon and Richards performed the first 31 P-MRS study that measured intracellular pH in human red blood cells (21). In the following year, Henderson and colleagues obtained the first 31 P spectrum of ATP from human red blood cells (22). At the same time, the Oxford team led by Radda performed the first experiment to acquire 31 P spectra from an intact organ, i.e., the excised and superfused muscle of rat hindlimb (23). The first in vivo 31 P-MRS study was performed on mouse brain by Chance et al. (24). Within the short span of one decade, organelles including mitochondria (25,26) and chromaffin granules (27), cells including Escherichia coli (28), yeast (29), and hepatocytes (30), and organs including skeletal muscle (31,32), heart (33-35), brain (36), kidney (37), and liver (38,39) have all been studied using 31 P-MRS.It is worth noting that most of these organ studies were performed on excised organs to avoid the need for spatial localization. Although Lauterbur has demonstrated the feasibility of imaging water protons (20), it was considered impractical for 31 P imaging of living systems because of the low sensitivity and difficulties with spectral resolution.The 1980s began with the publication of two important studies that aimed a...

show abstract

Investigating cortical hypoxia in multiple sclerosis via time‐domain near‐infrared spectroscopy

Williams,

Lange,

Smith

et al. 2024

Ann Clin Transl Neurol

View full text Add to dashboard Cite

ObjectivesHypoperfusion and tissue hypoxia have been implicated as contributory mechanisms in the neuropathology of multiple sclerosis (MS). Our objective has been to study cortical oxygenation in vivo in patients with MS and age‐matched controls.MethodsA custom, multiwavelength time‐domain near‐infrared spectroscopy system was developed for assessing tissue hypoxia from the prefrontal cortex. A cross‐sectional case–control study was undertaken assessing patients with secondary progressive MS (SPMS) and age‐matched controls. Co‐registered magnetic resonance imaging was used to verify the location from which near‐infrared spectroscopy data were obtained through Monte Carlo simulations of photon propagation. Additional clinical assessments of MS disease severity were carried out by trained neurologists. Linear mixed effect models were used to compare cortical oxygenation between cases and controls, and against measures of MS severity.ResultsThirty‐three patients with secondary progressive MS (median expanded disability status scale 6 [IQR: 5–6.5]; median age 53.0 [IQR: 49–58]) and 20 age‐matched controls were recruited. Modeling of photon propagation confirmed spectroscopy data were obtained from the prefrontal cortex. Patients with SPMS had significantly lower cortical hemoglobin oxygenation compared with controls (−6.0% [95% CI: −10.0 to −1.9], P = 0.004). There were no significant associations between cortical oxygenation and MS severity.InterpretationUsing an advanced, multiwavelength time‐domain near‐infrared spectroscopy system, we demonstrate that patients with SPMS have lower cortical oxygenation compared with controls.

show abstract

Brain mitochondrial oxidative metabolism during and after cerebral hypoxia–ischemia studied by simultaneous phosphorus magnetic-resonance and broadband near-infrared spectroscopy

Cited by 78 publications

References 46 publications

Optimal wavelength combinations for near-infrared spectroscopic monitoring of changes in brain tissue hemoglobin and cytochrome c oxidase concentrations

Optimal wavelength combinations for near-infrared spectroscopic monitoring of changes in brain tissue hemoglobin and cytochrome c oxidase concentrations

Assessing tissue metabolism by phosphorous-31 magnetic resonance spectroscopy and imaging: a methodology review

Investigating cortical hypoxia in multiple sclerosis via time‐domain near‐infrared spectroscopy

Contact Info

Product

Resources

About