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Jiang M, Cao F, Zhang Q, Qi Z, Gao Y, Zhang Y, Song B, Wu C, Li M, Xu Y, Zhang X, Wang Y, Wei M, Ji X. Model-predicted brain temperature computational imaging by multimodal noninvasive functional neuromonitoring of cerebral oxygen metabolism and hemodynamics: MRI-derived and clinical validation. J Cereb Blood Flow Metab 2024:271678X241270485. [PMID: 39129194 DOI: 10.1177/0271678x241270485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Brain temperature, a crucial yet under-researched neurophysiological parameter, is governed by the equilibrium between cerebral oxygen metabolism and hemodynamics. Therapeutic hypothermia has been demonstrated as an effective intervention for acute brain injuries, enhancing survival rates and prognosis. The success of this treatment hinges on the precise regulation of brain temperature. However, the absence of comprehensive brain temperature monitoring methods during therapy, combined with a limited understanding of human brain heat transmission mechanisms, significantly hampers the advancement of hypothermia-based neuroprotective therapies. Leveraging the principles of bioheat transfer and MRI technology, this study conducted quantitative analyses of brain heat transfer during mild hypothermia therapy. Utilizing MRI, we reconstructed brain structures, estimated cerebral blood flow and oxygen consumption parameters, and developed a brain temperature calculation model founded on bioheat transfer theory. Employing computational cerebral hemodynamic simulation analysis, we established an intracranial arterial fluid dynamics model to predict brain temperature variations across different therapeutic hypothermia modalities. We introduce a noninvasive, spatially resolved, and optimized mathematical bio-heat model that synergizes model-predicted and MRI-derived data for brain temperature prediction and imaging. Our findings reveal that the brain temperature images generated by our model reflect distinct spatial variations across individual participants, aligning with experimentally observed temperatures.
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Affiliation(s)
- Miaowen Jiang
- Beijing Institute for Brain Disorders, Capital Medical University, Beijing, 100069, China
| | - Fuzhi Cao
- School of Engineering Medicine, Beihang University, Beijing 100083, China
| | - Qihan Zhang
- Department of Neurology and Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Zhengfei Qi
- Beijing Institute for Brain Disorders, Capital Medical University, Beijing, 100069, China
| | - Yuan Gao
- School of Engineering Medicine, Beihang University, Beijing 100083, China
| | - Yang Zhang
- Department of Neurology and Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Baoyin Song
- Department of Neurology and Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Chuanjie Wu
- Department of Neurology and Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Ming Li
- China-America Institute of Neuroscience and Beijing Institute of Geriatrics, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Yongbo Xu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin 300203, China
| | - Xin Zhang
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Yuan Wang
- Department of Neurology and Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Ming Wei
- Beijing Institute for Brain Disorders, Capital Medical University, Beijing, 100069, China
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin 300203, China
- Tianjin University, Tianjin Huanhu Hospital, Tianjin 300203, China
| | - Xunming Ji
- Beijing Institute for Brain Disorders, Capital Medical University, Beijing, 100069, China
- Department of Neurology and Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
- China-America Institute of Neuroscience and Beijing Institute of Geriatrics, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
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Russell-Buckland J, Kaynezhad P, Mitra S, Bale G, Bauer C, Lingam I, Meehan C, Avdic-Belltheus A, Martinello K, Bainbridge A, Robertson NJ, Tachtsidis I. Systems Biology Model of Cerebral Oxygen Delivery and Metabolism During Therapeutic Hypothermia: Application to the Piglet Model. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1269:31-38. [PMID: 33966191 DOI: 10.1007/978-3-030-48238-1_5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Hypoxic ischaemic encephalopathy (HIE) is a significant cause of death and disability. Therapeutic hypothermia (TH) is the only available standard of treatment, but 45-55% of cases still result in death or neurodevelopmental disability following TH. This work has focussed on developing a new brain tissue physiology and biochemistry systems biology model that includes temperature effects, as well as a Bayesian framework for analysis of model parameter estimation. Through this, we can simulate the effects of temperature on brain tissue oxygen delivery and metabolism, as well as analyse clinical and experimental data to identify mechanisms to explain differing behaviour and outcome. Presented here is an application of the model to data from two piglets treated with TH following hypoxic-ischaemic injury showing different responses and outcome following treatment. We identify the main mechanism for this difference as the Q10 temperature coefficient for metabolic reactions, with the severely injured piglet having a median posterior value of 0.133 as opposed to the mild injury value of 5.48. This work demonstrates the use of systems biology models to investigate underlying mechanisms behind the varying response to hypothermic treatment.
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Affiliation(s)
- Joshua Russell-Buckland
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
| | - P Kaynezhad
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - S Mitra
- Institute for Women's Health, University College London, London, UK
| | - G Bale
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - C Bauer
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - I Lingam
- Institute for Women's Health, University College London, London, UK
| | - C Meehan
- Institute for Women's Health, University College London, London, UK
| | | | - K Martinello
- Institute for Women's Health, University College London, London, UK
| | - A Bainbridge
- Department of Medical Physics and Biomedical Engineering, University College London Hospital, London, UK
| | - N J Robertson
- Institute for Women's Health, University College London, London, UK
| | - I Tachtsidis
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
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