Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
505-04-003 ISMRM Abstract

Whole-brain, cerebral blood volume weighted imaging optimized for the study of cortical networks on NexGen 7T scanner

Primary: Brain Function and fMRI - Functional Connectivity
Secondary: Physics & Engineering - High-Field MRI
505-04-003 · Mesoscale Functional MRI · Wednesday, 13 May, 4:00 PM–5:50 PM · Ballroom West
Keywords: VASO High Performance Gradients Functional MRI Ultra high field Functional network connectivity
Accepted
Alexander J Beckett1,2, Suvi Häkkinen1, Erica B Walker1,2, Oleksandr Khegai1, An T Vu3, Renzo Huber4, David Feinberg 1,2
1Helen Wills Neuroscience Institute, University of California, Berkeley, United States of America
2Advanced MRI Technologies, LLC, Sebastopol, United States of America
3University Of California, San Francisco (UCSF), United States of America
4Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
Presenting Author: David Feinberg

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. Beckett, A. J. S. et al. Whole brain Layer-fMRI on the NexGen 7T scanner with high performance gradients and 64-channel receiver array. in (2023).
2. Koiso, K. et al. Acquisition and processing methods of whole-brain layer-fMRI VASO and BOLD: The Kenshu dataset. Aperture Neuro 1–22 (2023) doi: 10.52294/001c.87961 PMID: 40206493. [doi] [pmid]
3. Feinberg, D. A. et al. Next-generation MRI scanner designed for ultra-high-resolution human brain imaging at 7 Tesla. Nat Methods 20, 2048–2057 (2023) doi: 10.1038/s41592-023-02068-7 PMID: 38012321. [doi] [pmid]
4. Huber, L. et al. Slab-selective, BOLD-corrected VASO at 7 Tesla provides measures of cerebral blood volume reactivity with high signal-to-noise ratio. Magn Reson Med 72, 137–48 (2014) doi: 10.1002/mrm.24916 PMID: 23963641. [doi] [pmid]
5. Mekete, N. & Vu, A. T. Encoding and decoding semantic information of natural movies from 7T human brain activity provided by the Human Connectome Project. in Proceedings of the 25th Annual Meeting of ISMRM (2017).
6. Huber, L. et al. Layer-dependent functional connectivity methods. Prog Neurobiol 207, 101835 (2021) doi: 10.1016/j.pneurobio.2020.101835 PMID: 32512115. [doi] [pmid]
7. Gunamony, S. & Feinberg, D. An 8-channel transmit 64-channel receive compact head coil for Next Gen 7T scanner with head gradient insert. in (2022).
8. Stirnberg R, Stöcker T. Segmented K-space blipped-controlled aliasing in parallel imaging for high spatiotemporal resolution EPI. Magn Reson Med 85:1540-1551 (2021) doi: 10.1002/mrm.28486 PMID: 32936488. [doi] [pmid]
9. Huber, R. et al. Short-term gradient imperfections in high-resolution EPI lead to Fuzzy Ripple artifacts. Magn Reson Med (2025) doi:10.1002/mrm.30489 PMID: 40173320. [doi] [pmid]
10. Huber, R. et al. Advanced Echo-planar Parallel Imaging with Gradient Harmonization (AEPIG): an optimization strategy for fast high resolution fMRI. in Proceedings of the 33rd Annual Meeting of ISMRM (2025).
11. Vizioli, L. et al. Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging. Nat Commun 12, 5181 (2021) doi: 10.1038/s41467-021-25431-8 PMID: 34462435. [doi] [pmid]
12. Moeller, S. et al. NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing. NeuroImage 226, 117539 (2021) doi: 10.1016/j.neuroimage.2020.117539 PMID: 33186723. [doi] [pmid]
13. Avants, B. B. et al. Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain. Med. Image Anal. 12, 26–41 (2008) doi: 10.1016/j.media.2007.06.004 PMID: 17659998. [doi] [pmid]
14. Huber, L. et al. LayNii: A software suite for layer-fMRI. NeuroImage 237, 118091 (2021) doi: 10.1016/j.neuroimage.2021.118091 PMID: 33991698. [doi] [pmid]
15. Vos de Wael, R. et al. BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets. Commun. Biol. 3, 103 (2020) doi: 10.1038/s42003-020-0794-7 PMID: 32139786. [doi] [pmid]
16. Tomasi, D. & Volkow, N. D. Functional connectivity hubs in the human brain. NeuroImage 57, 908–917 (2011) doi: 10.1016/j.neuroimage.2011.05.024 PMID: 21609769. [doi] [pmid]
17. Hermosillo, R. J. M. et al. A precision functional atlas of personalized network topography and probabilities. Nat. Neurosci. 27, 1000–1013 (2024) doi: 10.1038/s41593-024-01596-5 PMID: 38532024. [doi] [pmid]
18. Chai, Y. et al. Unlocking near-whole-brain, layer-specific functional connectivity with 3D VAPER fMRI. Imaging Neurosci. 2, 1–20 (2024) doi: 10.1162/imag_a_00140. PMID: 40800454. [doi] [pmid]
19. Kotlarz, P. et al. Multilayer network analysis across cortical depths in 7-T resting-state fMRI. Netw. Neurosci. 9, 475–503 (2025) doi: 10.1162/netn_a_00436 PMID: 38187540. [doi] [pmid]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/505-04-003