Relevant bibliographies by topics / Cerebral blood flow

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cerebral blood flow'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 July 2024

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Journal articles on the topic "Cerebral blood flow"

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Selman, Warren R., and H. Richard Winn. "Cerebral blood flow." Neurosurgical Focus 32, no. 2 (February 2012): Introduction. http://dx.doi.org/10.3171/2011.12.focus11353.

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Harper, A. M. "Cerebral Blood Flow." Journal of Neurology, Neurosurgery & Psychiatry 51, no. 8 (August 1, 1988): 1112. http://dx.doi.org/10.1136/jnnp.51.8.1112.

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TANAKA, HIROFUMI. "Cerebral Blood Flow." Exercise and Sport Sciences Reviews 37, no. 3 (July 2009): 111. http://dx.doi.org/10.1097/jes.0b013e3181aa5aee.

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&NA;. "Cerebral blood flow." Nuclear Medicine Communications 8, no. 7 (July 1987): 453–56. http://dx.doi.org/10.1097/00006231-198707000-00001.

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Sethuraman, Manikandan. "Cerebral blood flow monitoring." Journal of Neuroanaesthesiology and Critical Care 02, no. 03 (December 2015): 204–14. http://dx.doi.org/10.4103/2348-0548.165040.

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AbstractBrain is a unique organ of the body that receives highest amount of cardiac output and totally depend on the blood supply for its survival and no reserve of blood flow making it vulnerable for ischaemia. Other important properties of cerebral circulation include autoregulation of blood flow, high oxygen extraction, and selective increase in blood flow to specific brain areas during various functional activities. It is important to understand that systemic and local factors affect the cerebral blood flow and the brain functions. Moreover the alterations in cerebral blood flow (acute or chronic) can be responsible for various symptoms as well as diseases pertaining to the brain. Hence it is important to measure the cerebral blood flow for the diagnostic as well as therapeutic purpose. This review focusses on the various techniques available for monitoring the cerebral blood flow.
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Turc, Jean-Denis, François Chollet, Isabelle Berry, Umberto Sabatini, Jean François Démonet, Pierre Celsis, Jean-Pierre Marc-Vergnes, and André Rascol. "Cerebral Blood Flow, Cerebral Blood Flow Reactivity to Acetazolamide, and Cerebral Blood Volume in Patients with Leukoaraiosis." Cerebrovascular Diseases 4, no. 4 (1994): 287–93. http://dx.doi.org/10.1159/000108496.

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Wladimiroff, J. W. "Fetal Cerebral Blood Flow." Clinical Obstetrics and Gynecology 32, no. 4 (December 1989): 710–18. http://dx.doi.org/10.1097/00003081-198912000-00012.

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van Aken, J. "Cerebral blood flow measurement." European Journal of Anaesthesiology 15, Supplement 17 (January 1998): 59–60. http://dx.doi.org/10.1097/00003643-199801001-00039.

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Igarashi, Hironaka, Makoto Hamamoto, Hiroshi Yamaguchi, Seiji Ookubo, Junichi Nagashima, Hiroshi Nagayama, Shimon Amemiya, and Yasuo Katayama. "Cerebral Blood Flow Index." Journal of Computer Assisted Tomography 27, no. 6 (November 2003): 874–81. http://dx.doi.org/10.1097/00004728-200311000-00008.

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Berré, J., D. De Backer, J. J. Moraine, C. Mélot, J. L. Vincent, R. J. Kahn, C. S. De Deyne, et al. "Cerebral blood flow I." Intensive Care Medicine 18, S2 (October 1992): S79—S80. http://dx.doi.org/10.1007/bf03216326.

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Dissertations / Theses on the topic "Cerebral blood flow"

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Poulin, Marc J. "Aspects of cerebral blood flow in humans." Thesis, University of Oxford, 1998. http://ora.ox.ac.uk/objects/uuid:a2af655f-9198-4cd0-a126-57c070f6399d.

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The technique of transcranial Doppler ultrasound (TCD) was used to assess cerebral blood flow (CBF) in humans. Studies were performed at rest and during dynamic submaximal exercise. In the resting experiments, TCD was combined with the technique of dynamic end-tidal forcing to study the dynamics of the CBF response to step changes in end-tidal (i.e. arterial) PC02 and PO2 In the resting and exercise experiments, the degree of consistency was examined between three indices of CBF that can be extracted from the TCD spectrum. Finally, the ventilatory and the CBF responses to acute isocapnic hypoxia were examined to try to quantify the possible reduction in ventilation that could be attributed to changes in CBF with hypoxia. In the studies performed at rest, during either hypoxia and/or hypercapnia (Chapter 2), the three indices of CBF extracted from the TCD spectrum were all consistent. However, during submaximal exercise (Chapter 5), the indices were less consistent and results suggest that the increase in CBF with exercise that has been reported with TCD needs to be treated with caution. The dynamic studies of the CBF response to step changes in end-tidal PC02 and PO2 in humans revealed that the CBF response to hypercapnia (Chapter 3) is characterised by a significant asymmetry, with a slower on-transient than off-transient, and also by a degree of undershoot following the relief of hypercapnia. The CBF response to hypocapnia (Chapter 4) is also characterised by a significant asymmetry, with a faster on-transient than off-transient. Furthermore, there is a slow progressive adaptation throughout the hypocapnic period. These studies show that the CBF responses to hypercapnia and hypocapnia are much faster than previously been thought. Finally, the work described in Chapter 6 attempts to quantify the possible reduction in ventilation that could be attributed to changes in CBF with hypoxia to determine whether it could be of sufficient magnitude to underlie hypoxic ventilatory decline (HVD). The results suggest that, in awake humans, changes in CBF during acute isocapnic hypoxia are quantitatively insufficient to underlie HVD.
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Mazzeo, M. D. "Lattice-Boltzmann simulations of cerebral blood flow." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/19357/.

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Computational haemodynamics play a central role in the understanding of blood behaviour in the cerebral vasculature, increasing our knowledge in the onset of vascular diseases and their progression, improving diagnosis and ultimately providing better patient prognosis. Computer simulations hold the potential of accurately characterising motion of blood and its interaction with the vessel wall, providing the capability to assess surgical treatments with no danger to the patient. These aspects considerably contribute to better understand of blood circulation processes as well as to augment pre-treatment planning. Existing software environments for treatment planning consist of several stages, each requiring significant user interaction and processing time, significantly limiting their use in clinical scenarios. The aim of this PhD is to provide clinicians and researchers with a tool to aid in the understanding of human cerebral haemodynamics. This tool employs a high performance fluid solver based on the lattice-Boltzmann method (coined HemeLB), high performance distributed computing and grid computing, and various advanced software applications useful to efficiently set up and run patient-specific simulations. A graphical tool is used to segment the vasculature from patient-specific CT or MR data and configure boundary conditions with ease, creating models of the vasculature in real time. Blood flow visualisation is done in real time using in situ rendering techniques implemented within the parallel fluid solver and aided by steering capabilities; these programming strategies allows the clinician to interactively display the simulation results on a local workstation. A separate software application is used to numerically compare simulation results carried out at different spatial resolutions, providing a strategy to approach numerical validation. This developed software and supporting computational infrastructure was used to study various patient-specific intracranial aneurysms with the collaborating interventionalists at the National Hospital for Neurology and Neuroscience (London), using three-dimensional rotational angiography data to define the patient-specific vasculature. Blood flow motion was depicted in detail by the visualisation capabilities, clearly showing vortex fluid ow features and stress distribution at the inner surface of the aneurysms and their surrounding vasculature. These investigations permitted the clinicians to rapidly assess the risk associated with the growth and rupture of each aneurysm. The ultimate goal of this work is to aid clinical practice with an efficient easy-to-use toolkit for real-time decision support.
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Willie, Christopher Kenneth. "Cerebral blood flow in man : regulation by arterial blood gases." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/47074.

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Due to the high metabolic rate of brain tissue and nominal substrate storage, brain perfusion must be precisely regulated to ensure continuous delivery of oxygen and substrates. Cerebral blood flow (CBF) is principally regulated by tissue metabolism, perfusion pressure, autonomic nervous activity, and the partial pressures of arterial oxygen (PaO₂)and carbon dioxide (PaCO₂) – an integrative process thus involving the marked influence of pulmonary gas exchange and cardiovascular function, in addition to intracranial mediators of cerebrovascular resistance. This thesis explicates the roles of PaO₂ and PaCO₂ in human regulation of regional CBF. In study 1, to elucidate their discrete roles, PaO₂ and PaCO₂ were independently manipulated at sea level through the widest range tolerated in humans. Flow reactivity to hypocapnia (low PaCO₂) and hypoxia (low PaO₂) was greater in the vertebral (VA) than internal carotid (ICA) artery, whereas similar reactivity was observed during hypercapnia (high PaCO₂) and hyperoxia (high PaO2₂. Cerebral oxygen delivery was well protected except in cases of extreme hypocapnia. The ventilatory response to hypoxia mitigates falling PaO₂ and reduces PaCO₂, particularly during initial exposure to high altitude. Study 2 assessed regional CBF during ascent to 5050m and every 12 hours during the first 3 days of acclimatization. Although total CBF increased by ~50% and was modestly related to reductions in oxygen saturation of hemoglobin, no regional CBF differences were observed. To extend these findings, Study 3 aimed to determine if cerebrovascular responses to changes in PaO₂ and PaCO₂ differed at 5050m compared to sea level. Despite respiratory alkalosis and partial metabolic compensation at 5050m restoration of PaO₂ to sea level values decreased CBF, and CBF sensitivity to acutely altered PaCO₂ remained similar to sea level. To elucidate the interactive effect on CBF of profound hypoxemia and hypercapnia, study 4 examined the temporal changes in elite breath-hold divers during maximum apneas. Despite 40-50% reductions in arterial oxygen content, CBF elevations were regionally similar (up to +100%) thereby facilitating maintenance of brain oxygen delivery throughout apnea. Although the regulation of CBF is multifaceted, the cerebrovasculature prioritizes oxygen delivery and adjusts to chronic changes in arterial blood gases.
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Shi, Yulu. "Cerebral blood flow and intracranial pulsatility in cerebral small vessel disease." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/29625.

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Cerebral small vessel disease (SVD) is associated with increased risks of stroke and dementia, however the mechanisms remain unclear. Low cerebral blood flow (CBF) has long been suggested and accepted, but clinical evidence is conflicting. On the other hand, growing evidence suggests that increased intracranial pulsatility due to vascular stiffening might be an alternative mechanism. Pulse-gated phase-contrast MRI is an imaging technique that allows measuring of CBF contemporaneously with pulsatility in multiple vessels and cerebrospinal fluid (CSF) spaces. The overall aim of this thesis was to provide an overview of existing clinical evidence on both hypotheses, to test the reproducibility of CBF and pulsatility measures in phase-contrast MRI, and to explore the relationship between CBF and intracranial pulsatility and SVD features in a group of patients with minor stroke and SVD changes on brain imaging. I first systematically reviewed and meta-analysed clinical studies that have assessed CBF or intracranial pulsatility in SVD patients. There were 38 studies (n=4006) on CBF and 27 (n=3356) on intracranial pulsatility. Most were cross-sectional, and longitudinal studies were scarce. There were large heterogeneities in patient characteristics and indices used particularly for measuring and calculating pulsatility. Methods to reduce bias such as blinding and the expertise of structural image readers were generally poorly reported, and many studies did not account for the impact of confounding factors (e.g. age, vascular risk factors and disease severity) on CBF or pulsatility. Evidence for falling CBF predating SVD was not supported by longitudinal studies; high pulsatility in one large artery such as internal carotid arteries (ICA) or middle cerebral arteries might be related to SVD, but studies that measured arteries, veins and CSF in the same patients were very limited and the reliability of some pulsatility measures, especially in CSF, needs to be tested. In order to test the reproducibility of the CBF and intracranial pulsatility measures, I repeated 2D phase-contrast MRI scans of vessels and CSF on healthy volunteers during two visits. I also compared the ICA pulsatility index derived from the MRI flow waveform to that from the Doppler ultrasound velocity waveform in patients with minor stroke and SVD features. In 10 heathy volunteers (age 35.2±9.78 years), the reproducibility of CBF and vascular pulsatility indices was good, with within-subject coefficients of variability (CV) less than 10%; whereas CSF flow and pulsatility measures were generally less reproducible (CV > 20%). In 56 patients (age 67.8±8.27 years), the ICA pulsatility indices in Doppler ultrasound and MRI were acceptably well-correlated (r=0.5, p < 0.001) considering the differences in the two techniques. We carried out a cross-sectional study aiming to recruit 60 patients with minor stroke and SVD features. We measured CBF and intracranial pulsatility using phase-contrast MRI, as well as aortic augmentation index (AIx) using a SphygmoCor device. I first investigated the relationship between intracranial measures, and systemic blood pressure or aortic AIx, and then focused on how the intracranial haemodynamic measures related to two main SVD features (white matter hyperintensities (WMH) and perivascular spaces (PVS)). We obtained usable data from 56/60 patients (age 67.8±8.27 years), reflecting a range of SVD burdens. After the adjustment for age, gender, and history of hypertension, higher pulsatility in the venous sinuses was associated with lower diastolic blood pressure and lower mean arterial pressure (e.g. diastolic blood pressure on straight sinus pulsatility index (PI): β=-0.005, P=0.029), but not with aortic AIx. Higher aortic AIx was associated with low ICA PI (β=-0.011, P=0.040). Increased pulsatility in the venous sinuses, not low CBF, was associated with greater WMH volume (e.g. superior sagittal sinus PI: β=1.29, P=0.005) and more basal ganglia PVS (e.g. odds ratio=1.379 per 0.1 increase in superior sagittal sinus PI) after the adjustment for age, gender and blood pressure. The thesis is the first to summarise the literature on CBF and intracranial pulsatility in SVD patients, addressed the major limitations of current clinical studies of SVD, and also assessed CBF and intracranial pulsatility contemporaneously in well-characterised patients with SVD features. The overall results of the thesis challenge the traditional hypothesis of the cause and effect between low CBF and SVD, and suggest that increased cerebrovascular pulsatility, which might be due to intrinsic cerebral small vessel pathologies rather than just aortic stiffness, is important for SVD. More importantly, this pilot study also provides a reliable methodology for measuring intracranial pulsatility using phase-contrast MRI for future longitudinal or larger multicentre studies, and shows that intracranial pulsatility could be used as a secondary outcome in clinical trials of SVD. However, future research is required to elucidate the implication of venous pulsatility and to fully explore the passage of pulse wave transmission in the brain. Overall, this thesis advances knowledge and suggest potential targets for future SVD studies in terms of mechanisms, prevention and treatment.
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吳志萍 and Chi-ping Ng. "Cerebral blood flow monitoring of brain injured patients." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31214484.

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Ng, Chi-ping. "Cerebral blood flow monitoring of brain injured patients /." Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B18777077.

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Pathmanathan, Saidharshini. "Development of in vitro models of cerebral ischaemia." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249162.

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Bathula, Rajaram. "Ethnic differences in cerebral blood flow and its determinants." Thesis, Imperial College London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522845.

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Khlunovska, L. Yu. "Peculiarities of cerebral blood flow in children with headache." Thesis, БДМУ, 2017. http://dspace.bsmu.edu.ua:8080/xmlui/handle/123456789/17135.

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Appaji, Abhisara Apoorva. "Estimating Cerebral Blood Flow from a Flow from a Rotatinal Angiographic System." Thesis, University of Oxford, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504287.

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Books on the topic "Cerebral blood flow"

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Pinsky, Michael R. Cerebral Blood Flow. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56036-1.

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Rescigno, Aldo, and Andrea Boicelli, eds. Cerebral Blood Flow. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-5565-6.

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Schmiedek, Peter, Karl Einhäupl, and Carl-Martin Kirsch, eds. Stimulated Cerebral Blood Flow. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77102-6.

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Mitagvariia, N. P. Cerebral blood flow regulation. New York: Nova Science Publishers, 2009.

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Edvinsson, Lars. Cerebral blood flow and metabolism. New York: Raven Press, 1993.

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N, Krause Diana, ed. Cerebral blood flow and metabolism. 2nd ed. Philadelphia: Lippincott Williams & Wilkins, 2002.

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Hartmann, Alexander, and Siegfried Hoyer, eds. Cerebral Blood Flow and Metabolism Measurement. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70054-5.

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W, Phillis J., ed. The Regulation of cerebral blood flow. Boca Raton: CRC Press, 1993.

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Cold, Georg Emil. Cerebral Blood Flow in Acute Head Injury. Vienna: Springer Vienna, 1990. http://dx.doi.org/10.1007/978-3-7091-9101-9.

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Kreipke, Christian W., and Jose A. Rafols, eds. Cerebral Blood Flow, Metabolism, and Head Trauma. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-4148-9.

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Book chapters on the topic "Cerebral blood flow"

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Müller, Edgar. "Flow Studies." In Cerebral Blood Flow, 215–43. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-5565-6_12.

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Rodriguez, G., F. De Carli, G. Novellone, S. Marenco, and G. Rosadini. "Regional Cerebral Blood Flow Measurements Using the 133-Xenon Inhalation Method." In Cerebral Blood Flow, 121–43. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-5565-6_7.

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Obrist, Walter D. "History of Cerebral Blood Flow Assessment." In Cerebral Blood Flow, 3–6. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-56036-1_1.

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Hossmann, Konstantin-Alexander. "The Ischemic Penumbra: Pathophysiology and Therapeutic Implications." In Cerebral Blood Flow, 137–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-56036-1_10.

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Pennings, F. A., G. J. Bouma, and Can Ince. "The Assessment of Determinants of Cerebral Oxygenation and Microcirculation." In Cerebral Blood Flow, 149–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-56036-1_11.

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Hunter, George, Leena M. Hamberg, Michael H. Lev, and Ramon Gilberto Gonzales. "Computed Tomography Angiography and Perfusion Imaging of Acute Stroke." In Cerebral Blood Flow, 165–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-56036-1_12.

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Yonas, Howard. "The Use of Xenon/CT Cerebral Blood Flow Studies in Acute Stroke." In Cerebral Blood Flow, 179–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-56036-1_13.

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Moonis, M., Majaz Moonis, and Marc Fisher. "Advances in Imaging in Ischemic Stroke." In Cerebral Blood Flow, 191–200. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-56036-1_14.

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Babikian, Viken, Joao Gomes, and Jaroslaw Krejza. "Assessment of Cerebrovascular Pathophysiology." In Cerebral Blood Flow, 201–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-56036-1_15.

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Powers, William J. "Cerebral Blood Flow Measurement with Positron Emission Tomography." In Cerebral Blood Flow, 217–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-56036-1_16.

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Conference papers on the topic "Cerebral blood flow"

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Atochin, Dmitriy. "CEREBRAL BLOOD FLOW REGULATION DURING STROKE." In XV International interdisciplinary congress "Neuroscience for Medicine and Psychology". LLC MAKS Press, 2019. http://dx.doi.org/10.29003/m307.sudak.ns2019-15/72.

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Aoi, M., P. Gremaud, H. T. Tran, V. Novak, and M. S. Olufsen. "Modeling cerebral blood flow and regulation." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5334057.

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Balberg, Michal, Thao Pham, Giles Blaney, Angelo Sassaroli, and Sergio Fantini. "Depth Profiles of Cerebral Blood Flow Modulation." In Optical Tomography and Spectroscopy. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/ots.2020.stu4d.2.

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Balberg, Michal, and Revital Shechter. "Acousto Optics for Cerebral Blood Flow Monitoring." In Optics and the Brain. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/brain.2019.bw1a.1.

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Kimpara, Kazuhiro, Shinichi Arizono, Yuichi Tawara, Natsumi Tanaka, Maki Takayama, and Daiki Takahashi. "Dyspnea impacts right emotional cerebral blood flow." In ERS International Congress 2023 abstracts. European Respiratory Society, 2023. http://dx.doi.org/10.1183/13993003.congress-2023.pa3402.

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Rickards, Caroline A., and Yu-Chieh Tzeng. "Blood pressure and cerebral blood flow oscillations: Friend or foe?" In 2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO). IEEE, 2014. http://dx.doi.org/10.1109/esgco.2014.6847578.

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Fedosov, Dmitry A., Bruce Caswell, and George Em Karniadakis. "Multiscale Modeling of Blood Flow in Cerebral Malaria." In ASME 2010 First Global Congress on NanoEngineering for Medicine and Biology. ASMEDC, 2010. http://dx.doi.org/10.1115/nemb2010-13012.

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Healthy red blood cells (RBCs) have relatively soft membranes that allow them to pass through narrow capillaries of the diameter as small as 3 μm. Recent experiments [1] showed that malaria-parasitized RBCs are characterized by a considerable stiffening of their membranes compared to healthy RBCs. This results in an increased blood flow resistance in the capillary bed, and may lead to an obstruction of small capillaries and significant blood-flow reduction. In addition, malaria-infected cells are able to adhere to each other and endothelium in arterioles and venules leading to more severe blood-flow reduction or blockage. Blood flow in cerebral malaria is extremely complex due to the mentioned effects, and requires multiscale modeling of RBCs and adhesive interactions. We developed a coarse-grained RBC model which is able to accurately reproduce RBCs mechanics and dynamics for different malaria stages: ring-trophozoite-schizont from the earliest to the latest. RBC adhesion is simulated based on the stochastic bond formation/dissociation model, which is able to capture complex adhesive dynamics.
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Saveljic, Igor B., Olivera Jovanikic, Velibor Isailovic, and Nenad D. Filipovic. "Computational analysis of blood flow in cerebral aneurysms." In 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE). IEEE, 2015. http://dx.doi.org/10.1109/bibe.2015.7367643.

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"Image-based CFD modelling of cerebral blood flow." In 1st International Symposium on Dielectric Materials and Applications. Materials Research Forum LLC, 2016. http://dx.doi.org/10.21741/9781945291197-32.

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"Blood flow simulations with application to cerebral aneurysms." In 2016 Spring Simulation Multi-Conference. Society for Modeling and Simulation International (SCS), 2016. http://dx.doi.org/10.22360/springsim.2016.msm.010.

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Reports on the topic "Cerebral blood flow"

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Bodo, Michael, Frederick Pearce, Stephen Van Albert, and Rocco Armonda. Rheoencephalogram Reflects Cerebral Blood Flow Autoregulation in Pigs. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada473927.

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Kovitaya, Manaswee, Lloyd D. Tripp, Chelette Jr., and Tamara L. Middle Cerebral Artery Blood Flow Velocity After Exposure to Sustained +Gz. Fort Belvoir, VA: Defense Technical Information Center, June 1997. http://dx.doi.org/10.21236/ada337565.

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Bednarczyk, Edward M. A Comparison of Cerebral Blood Flow in Migraineurs during Headache-Free and Treatment Periods. Fort Belvoir, VA: Defense Technical Information Center, October 1996. http://dx.doi.org/10.21236/ada328296.

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Bednarczyk, Edward M. A Comparison of Cerebral Blood Flow in Migraineurs During Headache, Headache-Free and Treatment Periods. Fort Belvoir, VA: Defense Technical Information Center, January 1999. http://dx.doi.org/10.21236/ada374068.

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Liao, Lu, Yong Fu, Xiong Jun, Haif Zhang, Xiaoq Li, and Wen Yu. A meta-analysis of acupuncture and moxibustion used to improve migraine attack symptoms and cerebral blood flow velocity. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2020. http://dx.doi.org/10.37766/inplasy2020.6.0066.

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Jones, A., A. Packard, S. Treves, and A. Davison. Studies in technetium chemistry, Project 1: Evaluation of technetium acetylacetonates as potential cerebral blood flow agents, Project 2. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/7002570.

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