Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
461-06-001 ISMRM Abstract

Simultaneous gas-free calibrated fMRI and fNIRS measurements in human visual cortex: a feasibility study

Primary: Brain Function and fMRI - fMRI Analysis
Secondary: Physics & Engineering - Multimodal
461-06-001 · Multimodal Acquisitions for Brain Function Studies · Tuesday, 12 May, 4:55 PM–5:50 PM · Digital Posters Row B
Keywords: fMRI (task based) fMRI Analysis Breath-hold calibrated fMRI Multimodal neuroimaging
Accepted
Giulia Rocco 1,2, Lucie Chalet1,2, Sara Pomante1,2, Elizabeth J Fear1,2, Francesca Graziano1,2, Davide Di Censo1,2, Manuela Carriero1,2, David Perpetuini3, Cosimo Del Gratta1,2, Mauro Gianni Perrucci1,2, Richard G Wise1,2, Antonio M Chiarelli1,2
1Department of Neurosciences, Imaging and Clinical Sciences, University 'G.d'Annunzio' of Chieti-Pescara, Chieti, Italy
2Institute of Advanced Biomedical Technologies, University 'G.d'Annunzio' of Chieti-Pescara, Chieti, Italy
3Department of Engineering and Geology, University 'G.d'Annunzio' of Chieti-Pescara, Chieti, Italy
Presenting Author: Giulia Rocco

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Hoge, R. D. (2012). Calibrated fMRI. Neuroimage, 62(2), 930-937. https://doi.org/10.1016/j.neuroimage.2012.02.022 [doi]
2. Driver, I. D. et al. (2024). Breath-hold calibrated fMRI mapping of absolute cerebral metabolic rate of oxygen metabolism (CMRO2): An assessment of the accuracy and repeatability in a healthy adult population. Imaging Neuroscience, 2, 1-14. https://doi.org/10.1162/imag_a_00298 [doi]
3. Leontiev, O., & Buxton, R. B. (2007). Reproducibility of BOLD, perfusion, and CMRO2 measurements with calibrated-BOLD fMRI. Neuroimage, 35(1), 175-184. https://doi.org/10.1016/j.neuroimage.2006.10.044 [doi]
4. Chiarelli, P. A., Bulte, D. P., Piechnik, S., & Jezzard, P. (2007). Sources of systematic bias in hypercapnia-calibrated functional MRI estimation of oxygen metabolism. Neuroimage, 34(1), 35-43. https://doi.org/10.1016/j.neuroimage.2006.08.033 [doi]
5. Huppert, T. J., Diamond, S. G., & Boas, D. A. (2008). Direct estimation of evoked hemoglobin changes by multimodality fusion imaging. Journal of biomedical optics, 13(5), 054031-054031. https://doi.org/10.1117/1.2976432 [doi]
6. Yücel, M. A., Huppert, T. J., Boas, D. A., & Gagnon, L. (2012). Calibrating the BOLD signal during a motor task using an extended fusion model incorporating DOT, BOLD and ASL data. NeuroImage, 61(4), 1268-1276. https://doi.org/10.1016/j.neuroimage.2012.04.036 [doi]
7. Yücel, M. A., Evans, K. C., Selb, J., Huppert, T. J., Boas, D. A., & Gagnon, L. (2014). Validation of the hypercapnic calibrated fMRI method using DOT–fMRI fusion imaging. Neuroimage, 102, 729-735. https://doi.org/10.1016/j.neuroimage.2014.08.052 [doi]
8. Marques JP, Kober T, Krueger G, van der Zwaag W, Van de Moortele PF, Gruetter R. MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-mapping at high field. Neuroimage. 2010;49(2):1271-1281. https://doi.org/10.1016/j.neuroimage.2009.10.002 [doi]
9. Zhang X, Petersen ET, Ghariq E, et al. In vivo blood T1 measurements at 1.5 T, 3 T, and 7 T. Magn Reson Med. 2013;70(4):1082-1086. https://doi.org/10.1002/mrm.24550 [doi]
10. Germuska M, Chandler HL, Stickland RC, et al. Dual-calibrated fMRI measurement of absolute cerebral metabolic rate of oxygen consumption and effective oxygen diffusivity. Neuroimage. 2019;184(March 2018):717-728. https://doi.org/10.1016/j.neuroimage.2018.09.035 [doi]
11. MPRAGEise (Version 2.0) [Computer software], https://github.com/srikash/MPRAGEise (2025).
12. Tustison, N. J. et al. The ANTsX ecosystem for quantitative biological and medical imaging. Sci Rep 11, 9068 (2021). https://doi.org/10.1038/s41598-021-87564-6 [doi]
13. Gaser, C., Dahnke, R., Thompson, P. M., Kurth, F., Luders, E., & Alzheimer's Disease Neuroimaging Initiative. (2024). CAT: a computational anatomy toolbox for the analysis of structural MRI data. Gigascience, 13, giae049. https://doi.org/10.1093/gigascience/giae049 [doi]
14. Mazziotta, J. C., Toga, A. W., Evans, A., Fox, P. & Lancaster, J. A Probabilistic Atlas of the Human Brain: Theory and Rationale for Its Development: The International Consortium for Brain Mapping (ICBM). Neuroimage 2, 89–101 (1995).
15. Mazziotta, J. et al. A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM). Philos Trans R Soc Lond B Biol Sci 356, 1293–1322 (2001).
16. Cox, R. W. AFNI: Software for Analysis and Visualization of Functional Magnetic Resonance Neuroimages. Computers and Biomedical Research 29, 162–173 (1996). https://doi.org/10.1006/cbmr.1996.0014 [doi]
17. Andersson J, Skare S, Ashburner J. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. Neuroimage. 2003; 20: 870-888. https://doi.org/10.1016/S1053-8119(03)00336-7 [doi]
18. Chiarelli, A. M. et al. A flow-diffusion model of oxygen transport for quantitative mapping of cerebral metabolic rate of oxygen (CMRO2) with single gas calibrated fMRI. Journal of Cerebral Blood Flow and Metabolism 42, 1192–1209 (2022). https://doi.org/10.1177/0271678X221077332 [doi]
19. Yücel, M. A., et al. (2021). Best practices for fNIRS publications. Neurophotonics, 8(1), 012101. https://doi.org/10.1117/1.NPh.8.1.012101 [doi]
20. Friston, K. J. (2003). Statistical parametric mapping. In Neuroscience databases: a practical guide (pp. 237-250). Boston, MA: Springer US.
21. Davis, T. L., Kwong, K. K., Weisskoff, R. M., & Rosen, B. R. (1998). Calibrated functional MRI: mapping the dynamics of oxidative metabolism. Proceedings of the National Academy of Sciences, 95(4), 1834-1839. https://doi.org/10.1073/pnas.95.4.1834 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/461-06-001