652-02-008 / 652-02-008 ISMRM Abstract

Characterizing Whole-brain Cardiac Pulsations Using fMRI at Conventional Temporal Resolution

Primary: Brain Function and fMRI - fMRI Analysis

Secondary: Brain Function and fMRI - fMRI Acquisition

652-02-008 · Heart and Brain Interactions · Thursday, 14 May, 1:40 PM–3:16 PM · Power Pitch Theatre 2

Keywords: fMRI Analysis Brain pulsation Physiological noise Cardiac phase Fast fMRI

Accepted

Emma Yeon ^1,2, Sara A Nolin^2,3, Shirley Feng², Amelia Strom^2,4, Robert Frost^2,3, Gary H Glover⁵, Jonathan R Polimeni⁵, Jingyuan Chen^2,3

¹Bronxville High School, Bronxville, United States of America

²Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America

³Harvard Medical School, Boston, United States of America

⁴Harvard-MIT Health Sciences and Technology, Cambridge, United States of America

⁵Department of Radiology, Stanford Medicine, Stanford, United States of America

Presenting Author: Emma Yeon

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.

References

1. Hermes, D., Wu, H., Kerr, A.B. and Wandell, B.A., 2023. Measuring brain beats: cardiac‐aligned fast functional magnetic resonance imaging signals. Human Brain Mapping, 44(1), pp.280-294.

2. Kiviniemi, V., Helakari, H., Raitamaa, L., Huotari, N., Rajna, Z., Järvelä, M., Elabasy, A., Tuunanen, J., Poltojainen, V., Väyrynen, T. and Tuovinen, T., 2025. Ultrafast Imaging of Physiological Brain Pulsations With Magnetic Resonance Encephalography—From Noise to Predictive Clinical Biomarker. NMR in Biomedicine, 38(8), p.e70092.

3. Smith, S.M., Beckmann, C.F., Andersson, J., Auerbach, E.J., Bijsterbosch, J., Douaud, G., Duff, E., Feinberg, D.A., Griffanti, L., Harms, M.P. and Kelly, M., 2013. Resting-state fMRI in the human connectome project. Neuroimage, 80, pp.144-168.

4. Strom, A., Berman, A., Reese, T.G., Dong Z.,, Scheffler K., Lewis, L.D., and Polimeni, J.R., 2024. Dynamic measurement of concurrent BOLD and brain tissue displacement quantification in vivo at 7T using motion-encoded stimulated-echo EPI. In ISMRM & ISMRT Annual Meeting & Exhibition 2024, p. 540.

5. Schaefer, A., Kong, R., Gordon, E.M., Laumann, T.O., Zuo, X.N., Holmes, A.J., Eickhoff, S.B. and Yeo, B.T., 2018. Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI. Cerebral cortex, 28(9), pp.3095-3114.

6. Glasser, M.F., Sotiropoulos, S.N., Wilson, J.A., Coalson, T.S., Fischl, B., Andersson, J.L., Xu, J., Jbabdi, S., Webster, M., Polimeni, J.R. and Van Essen, D.C., 2013. The minimal preprocessing pipelines for the Human Connectome Project. Neuroimage, 80, pp.105-124.

7. Glover, G.H., Li, T.Q. and Ress, D., 2000. Image‐based method for retrospective correction of physiological motion effects in fMRI: RETROICOR. Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine, 44(1), pp.162-167.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/652-02-008