Title :
Quantitatively interpreting fMRI signal
Author :
Zhang, Nanyin ; Zhu, Xiao-Hong ; Liu, Zhongming ; He, Bin ; Chen, Wei
Author_Institution :
Center for Magnetic Resonance Research, the Department of Radiology, the University of Minnesota Twin Cities, USA
Abstract :
Quantitative relationships among the neurophysiologic processes that link neuronal activity to hemodynamic change is extremely important to interpret the functional magnetic resonance imaging (fMRI) signals. In this article the neurovascular coupling relationship was noninvasively studied in the human visual cortex. Graded neuronal/hemodynamic suppression conditions were generated using a paired-stimulus paradigm. Visual evoked potential (VEP) was measured to quantify neuronal activity. Hemodynamic activities were measured and quantified by perfusion changes. All quantification was normalized to the same activation condition using a single-stimulus paradigm within each experimental session. The results reveal: (i) there is a tight neurovascular coupling at graded neuronal suppression conditions; (ii) the neurovascular coupling relationship contains a subtle, but significant, nonlinear component; (iii) the linear model, nevertheless, is still a good approximation reflecting the neurovascular coupling relationship.
Keywords :
Anesthesia; Brain modeling; Couplings; Delay; Helium; Hemodynamics; Humans; Magnetic resonance imaging; Neuroimaging; Signal processing; Algorithms; Automatic Data Processing; Blood Vessels; Brain; Brain Mapping; Cerebrovascular Circulation; Data Interpretation, Statistical; Heart Rate; Hemodynamics; Humans; Magnetic Resonance Imaging; Neurons; Signal Processing, Computer-Assisted; Time Factors; Visual Cortex;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4650190