CHAPTER


DOI :10.26650/B/LSB44.2024.037.008   IUP :10.26650/B/LSB44.2024.037.008    Full Text (PDF)

Hemodynamic Correlates of the Neuronal Activity and the Bold Response

Gözde Kızılateş EvinOnurhan KaratayAli BayramTamer Demiralp

Among modern neuroimaging techniques, functional magnetic resonance imaging (fMRI) is unique in that it can measure brain activity at a high spatial resolution and investigate a broad range of brain activities. Additionally, the Blood Oxygen Level Dependent (BOLD) signals strongly correlate with local field potentials (LFPs) and represent the activity of neurons, as evidenced by concurrent electrophysiology and fMRI studies. However, it is important to understand that fMRI does not directly measure neuronal activity or oxygen metabolism. Instead, it focuses on hemodynamic changes triggered by alterations in neural activity, that appear as variations in the BOLD signal. A pivotal element of the BOLD response involves a sudden increase in cerebral blood flow exceeding that required for oxidative metabolism. In essence, the BOLD signal results from a hemodynamic response shaped by a complex interplay among neurovascular coupling processes. This intricate cascade involves changes in oxygen metabolism, cerebral blood flow (CBF), and cerebral blood volume (CBV). The neurovascular unit encompasses four principal components: neurons, endothelial cells, pericytes, and astrocytes. This tightly regulated system establishes neurovascular coupling, entailing alterations in blood flow and nutrient delivery due to neuronal activity. Cerebral blood flow denotes the volume of blood flowing through arteries, arterioles, and capillaries within a specific tissue volume over time. Cerebral blood volume, on the other hand, refers to the amount of blood present in cerebral vessels at a given moment. Although separate, cerebral blood flow and cerebral blood volume are interconnected within the vasculature that governs blood flow. The cerebral metabolic rate of oxygen (CMRO2 ) signifies the quantity of oxygen utilized by the brain for its metabolic functions and reflects oxygen metabolism. Researchers typically employ indirect techniques, such as BOLD-fMRI, due to their high spatial resolution and noninvasive, non-ionizing nature, to estimate oxygen metabolism and thus neuronal activity. However, alterations in oxygen metabolism might not consistently lead to equivalent changes in CBF from the baseline level. Agreement in the literature regarding the extent of this partial mismatch has yet to be reached. Elevated baseline CBF can reduce the anticipated BOLD change resulting from increased neuronal metabolism due to saturated hemodynamics. Consequently, in the absence of additional data, fMRI signals offer qualitative rather than quantitative insights into neuronal metabolism. Under such circumstances, manipulating breathing conditions that influence CBF emerges as a valuable strategy to procure supplementary data, particularly in calibrated BOLD-fMRI studies.



References

  • 1. Buxton RB. The thermodynamics of thinking: connections between neural activity, energy metabolism and blood flow. Philos Trans R Soc Lond B Biol Sci. 2021;376(1815):20190624. google scholar
  • 2. Logothetis NK, Pauls J, Augath M, Trinath T, Oeltermann A. Neurophysiological investigation of the basis of the fMRI signal. Nature. 2001;412(6843):150-7. google scholar
  • 3. Jolivet R, Magistretti PJ, Weber B. Deciphering neuron-glia compartmentalization in cortical energy me-tabolism. Front Neuroenergetics. 2009;1:4. google scholar
  • 4. Ogawa S, Lee TM, Kay AR, Tank DW. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci USA. 1990;87(24):9868-72. google scholar
  • 5. Gauthier CJ, Fan AP. BOLD signal physiology: Models and applications. Neuroimage. 2019;187:116-27. google scholar
  • 6. Fox PT, Raichle ME. Focal physiological uncoupling of cerebral blood flow and oxidative metabolism during somatosensory stimulation in human subjects. Proc Natl Acad Sci USA. 1986;83(4):1140-4. google scholar
  • 7. Raichle ME. Circulatory and metabolic correlates of brain function in normal humans. 1987. google scholar
  • 8. Fox PT, Raichle ME, Mintun MA, Dence C. Nonoxidative glucose consumption during focal physiologic neural activity. Science. 1988;241(4864):462-4. google scholar
  • 9. Raichle ME. A brief history of human brain mapping. Trends Neurosci. 2009;32(2):118-26. google scholar
  • 10. Iadecola C. The neurovascular unit coming of age: a journey through neurovascular coupling in health and disease. Neuron. 2017;96(1):17-42. google scholar
  • 11. Grubb RL, Raichle ME, Eichling JO, Ter-Pogossian MM. The effects of changes in PaCO2 cerebral blood volume, blood flow, and vascular mean transit time. Stroke. 1974;5(5):630-9. google scholar
  • 12. Buxton RB, Wong EC, Frank LR. Dynamics of blood flow and oxygenation changes during brain activa-tion: the balloon model. Magn Reson Med 1998;39(6):855-64. google scholar
  • 13. Havlicek M, Uludağ K. A dynamical model of the laminar BOLD response. Neuroimage. 2020;204:116209. google scholar
  • 14. Polimeni JR, Lewis LD. Imaging faster neural dynamics with fast fMRI: A need for updated models of the hemodynamic response. Prog Neurobiol. 2021;207:102174. google scholar
  • 15. Huber L, Uludağ K, Möller HE. Non-BOLD contrast for laminar fMRI in humans: CBF, CBV, and CMRO2. Neuroimage. 2019;197:742-60. google scholar
  • 16. Davis TL, Kwong KK, Weisskoff RM, Rosen BR. Calibrated functional MRI: mapping the dynamics of oxidative metabolism. Proc Natl Acad Sci USA. 1998;95(4):1834-9. google scholar
  • 17. Hoge RD, Atkinson J, Gill B, Crelier GR, Marrett S, Pike GB. Investigation of BOLD signal dependence on cerebral blood flow and oxygen consumption: the deoxyhemoglobin dilution model. Magn Reson Med. 1999;42(5):849-63. google scholar


SHARE




Istanbul University Press aims to contribute to the dissemination of ever growing scientific knowledge through publication of high quality scientific journals and books in accordance with the international publishing standards and ethics. Istanbul University Press follows an open access, non-commercial, scholarly publishing.