Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
470-08-133 ISMRM Abstract

Unsupervised k-means clustering reliably identifies BOLD Activations in Fast fMRI Data

Primary: Analysis Methods - Data Processing
Secondary: Brain Function and fMRI - fMRI Analysis
470-08-133 · Analysis: Neuro · Tuesday, 12 May, 4:00 PM–4:55 PM · Traditional Posters | Exhibition Hall
Keywords: BOLD-fMRI Clustering analysis Unsupervised machine learning Fast fMRI
Accepted
Tim Schmidt1, Zoltan Nagy 2
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland
2Laboratory for Social and Neural Systems Research (SNS-Lab), University of Zurich, Zurich, Switzerland
Presenting Author: Zoltan Nagy

Synopsis

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References

1. Friston Karl J., Ashburner John T., Kiebel Stefan J., Nichols Thomas E., Penny William D. Statistical Parametric Mapping: The Analysis of Functional Brain Images. 1st ed. Academic Press; 2007.
2. Polimeni JR, Lewis LD. Imaging faster neural dynamics with fast fMRI: A need for updated models of the hemodynamic response. Prog Neurobiol. 2021;207. doi:10.1016/j.pneurobio.2021.102174. [doi]
3. McGonigle DJ, Howseman AM, Athwal BS, Friston KJ, Frackowiak RSJ, Holmes AP. Variability in fMRI: An examination of intersession differences. Neuroimage. 2000;11(6 I):708-734. doi:10.1006/nimg.2000.0562. [doi]
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6. Schmidt T, Vannesjo SJ, Sommer S, Nagy Z. fMRI with whole-brain coverage, 75-ms temporal resolution and high SNR by combining HiHi reshuffling and multiband imaging. Magn Reson Imaging. 2023;103:48-53. doi:10.1016/j.mri.2023.06.015. [doi]
7. Nagy Z, Hutton C, David G, et al. HiHi fMRI: a data-reordering method for measuring the hemodynamic response of the brain with high temporal resolution and high SNR. Cerebral Cortex. Published online September 28, 2022. doi:10.1093/cercor/bhac364. [doi]
8. Schmitt F, Stehling MK, Turner R. Echo-Planar Imaging. 1st ed. Springer Berlin Heidelberg; 1998.
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10. Moeller S, Yacoub E, Olman CA, et al. Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain FMRI. Magn Reson Med. 2010;63(5):1144-1153. doi:10.1002/mrm.22361. [doi]
11. Schmidt T, Nagy Z. SAD: semi-supervised automatic detection of BOLD activations in high temporal resolution fMRI data. Magnetic Resonance Materials in Physics, Biology and Medicine. 2024;37(6):1031-1046. doi:10.1007/s10334-024-01197-0. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/470-08-133