Modelling Blood Flow and Metabolism in the Piglet Brain During Hypoxia-Ischaemia: Simulating pH Changes

Hapuarachchi, Tharindi; Moroz, Tracy; Bainbridge, Alan; Price, David L.; Cady, Ernest B.; Baer, E.; Broad, Kevin D.; Ezzati, M; Thomas, David L.; Golay, Xavier; Robertson, Nicola J.; Tachtsidis, Ilias

doi:10.1007/978-1-4614-7411-1_44

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…These questions could be addressed by combining advanced optics with multimodal monitoring and imaging. Approaches integrating information from time-resolved spectroscopy, imaging, and multimodal neuromonitoring by optical and physiological modeling are feasible and may hold the key to predicting how cortical physiology manifests in NIRS optics 36. NIRS reflects considerable physiological complexity, and model-based physiological interpretation37,38 of NIRS might therefore usefully be used to address influence of other confounding factors such as carbon dioxide tension,39 oxygenation,40 and cerebral metabolic rate 41.…”

Section: Discussionmentioning

confidence: 99%

Monitoring Cerebral Autoregulation After Brain Injury

Highton

Ghosh

Tachtsidis³

et al. 2015

Anesthesia &Amp; Analgesia

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Section: Discussionmentioning

confidence: 99%

Monitoring Cerebral Autoregulation After Brain Injury

Highton

Ghosh

Tachtsidis³

et al. 2015

Anesthesia &Amp; Analgesia

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“…However, given the uncertainties attendant upon parameter estimates from ‘sloppy’ models [ 59 ], it may be unwise to attach too much significance to them in any case. We have previously found that attempts to explain observations through individual parameter fitting can lead to unrealistic predictions [ 72 , 73 ]. Using simpler models should allow for a more coherent overall picture, at the cost of a loss of detail.…”

Section: Discussionmentioning

confidence: 99%

BrainSignals Revisited: Simplifying a Computational Model of Cerebral Physiology

et al. 2015

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Multimodal monitoring of brain state is important both for the investigation of healthy cerebral physiology and to inform clinical decision making in conditions of injury and disease. Near-infrared spectroscopy is an instrument modality that allows non-invasive measurement of several physiological variables of clinical interest, notably haemoglobin oxygenation and the redox state of the metabolic enzyme cytochrome c oxidase. Interpreting such measurements requires the integration of multiple signals from different sources to try to understand the physiological states giving rise to them. We have previously published several computational models to assist with such interpretation. Like many models in the realm of Systems Biology, these are complex and dependent on many parameters that can be difficult or impossible to measure precisely. Taking one such model, BrainSignals, as a starting point, we have developed several variant models in which specific regions of complexity are substituted with much simpler linear approximations. We demonstrate that model behaviour can be maintained whilst achieving a significant reduction in complexity, provided that the linearity assumptions hold. The simplified models have been tested for applicability with simulated data and experimental data from healthy adults undergoing a hypercapnia challenge, but relevance to different physiological and pathophysiological conditions will require specific testing. In conditions where the simplified models are applicable, their greater efficiency has potential to allow their use at the bedside to help interpret clinical data in near real-time.

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The Applicability of Amide Proton Transfer Imaging in the Nervous System: Focus on Hypoxic-Ischemic Encephalopathy in the Neonate

Yang

Wang

2017

Cell Mol Neurobiol

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In recent years, magnetic resonance imaging (MRI) has become more widely used in neonatal hypoxic-ischemic encephalopathy (HIE), involving, for example, evaluation of cerebral edema, white matter fiber bundle tracking, cerebral perfusion status, and assessment of brain metabolites. MRI has many imaging modalities. However, its application for assessing changes in the internal environment at the tissue and cellular level after hypoxia-ischemia remains a challenge and is currently the focus of intense research. Based on the exchange between amide protons of proteins and polypeptides and free water protons, amide proton transfer (APT) imaging can display changes in pH and protein concentrations in vivo. This paper is a review of the principles of APT imaging, with a focus on the potential application of APT imaging for neonatal HIE.

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Modelling Blood Flow and Metabolism in the Piglet Brain During Hypoxia-Ischaemia: Simulating pH Changes

Cited by 4 publications

References 6 publications

Monitoring Cerebral Autoregulation After Brain Injury

Monitoring Cerebral Autoregulation After Brain Injury

BrainSignals Revisited: Simplifying a Computational Model of Cerebral Physiology

The Applicability of Amide Proton Transfer Imaging in the Nervous System: Focus on Hypoxic-Ischemic Encephalopathy in the Neonate

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