Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
406-03-004 ISMRM Abstract

Novel cerebellar and hippocampal network markers derived from dynamic resting-state in Parkinson’s disease using 7T-fMRI

Primary: Brain Function and fMRI - Functional Connectivity
Secondary: Neuro - Parkinson's Disease
406-03-004 · fMRI: Applications in Neurology · Tuesday, 12 May, 4:00 PM–5:50 PM · Auditorium 2
Keywords: Parkinson's Disease Imaging biomarkers FMRI 7T Sliding Window connectivity Resting-State Network
Accepted
Silke Kreitz 1,2, Alexander German1, Jürgen Winkler3, Andreas Hess1,2,4, Arnd Dörfler1
1Institute of Neuroradiology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
2Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
3Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
4FAU NeW – Research Center for New Bioactive Compounds, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
Presenting Author: Silke Kreitz

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. Baggio, H. C., Segura, B. & Junque, C., Resting-state functional brain networks in Parkinson's disease. CNS Neurosci Ther. 2015. 21(10): p. 793-801. doi: 10.1111/cns.12417 [doi]
2. Kim, J., et al., Abnormal intrinsic brain functional network dynamics in Parkinson's disease. Brain 2017. 140(11): p2955-2967. doi: 10.1093/brain/awx233 [doi]
3. Desikan, R.S., et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 2006. 31: p. 968-980. doi: 10.1016/j.neuroimage.2006.01.021 [doi]
4. Diedrichsen, J., et al., A probabilistic MR atlas of the human cerebellum. Neuroimage 2009. 46: p. 39-46. doi: 10.1016/j.neuroimage.2009.01.045 [doi]
5. Kreitz, S., et al., A New Analysis of Resting State Connectivity and Graph Theory Reveals Distinctive Short-Term Modulations due to Whisker Stimulation in Rats. Frontiers in Neuroscience, 2018. 12: p. 334. doi: 10.3389/fnins.2018.00334 [doi]
6. Liu, X., Chang, C., & Duyn, J. H., Decomposition of spontaneous brain activity into distinct fMRI co-activation patterns. Frontiers in systems neuroscience 7: p. 101. doi: 10.3389/fnsys.2013.00101 [doi]
7. Bando, S. Y. et al., Complex network analysis of CA3 transcriptome reveals pathogenic and compensatory pathways in refractory temporal lobe epilepsy. PloS one 2013. 8: e79913. doi: 10.1371/journal.pone.0079913 [doi]
8. Sporns, O., Honey, C. J. & Kotter, R., Identification and classification of hubs in brain networks. PloS one 2007. 2: e1049. doi: 10.1371/journal.pone.0001049 [doi]
9. Parkinson’s Progression Markers Initiative (PPMI): www.ppmi-info.org/access-data-specimens/download-data
10. 10. Cerri, S., Mus, L. & Blandini, F., Parkinson's Disease in Women and Men: What's the Difference? J Parkinsons Dis. 2019. 9(3): p. 501-515. doi: 10.3233/JPD-191683 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/406-03-004