Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
464-03-013 ISMRM Abstract

Sex Differences in DMN Connectivity in Aging Are Independent of Vascular Lesion Burden and Cognitive Status.

Accepted
Soetkin Beun 1,2, Patricia Clement3,4,5, Ernst Rietzschel6, Eric Achten1,5
1Ghent Institute of Functional and Metabolic Imaging (GIFMI), Ghent University, Ghent, Belgium
2Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
3Ghent University Hospital, Gent, Belgium
4Deparment of Medical Imaging, Ghent University Hospital, Gent, Belgium
5Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
6Cardiology, Ghent University, Ghent, Belgium
Presenting Author: Soetkin Beun

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. Buckley, R. F., Schultz, A. P., Hedden, T., Pruzin, J. J., Becker, J. A., Hanseeuw, B., … Sperling, R. A. (2018). Distinct latitudinal patterns of neurodegeneration in aging and Alzheimer’s disease. Brain, 141(7), 2013–2024. https://doi.org/10.1093/brain/awy126 [doi]
2. Damoiseaux, J. S. (2017). Effects of aging on functional and structural brain connectivity. NeuroImage, 160, 32–40. https://doi.org/10.1016/j.neuroimage.2017.01.077 [doi]
3. Esteban, O., Markiewicz, C. J., Blair, R. W., Moodie, C. A., Isik, A. I., Erramuzpe, A., … Gorgolewski, K. J. (2019). fMRIPrep: A robust preprocessing pipeline for functional MRI. Nature Methods, 16(1), 111–116. https://doi.org/10.1038/s41592-018-0235-4 [doi]
4. Hafkemeijer, A., van der Grond, J., & Rombouts, S. A. R. B. (2014). Imaging the default mode network in aging and dementia. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, 1842(3), 417–431. https://doi.org/10.1016/j.bbadis.2013.07.002 [doi]
5. Rietzschel, E. R., De Buyzere, M. L., Bekaert, S., Segers, P., De Bacquer, D., Cooman, L., Van Damme, P., Cassiman, P., Langlois, M., Van Oostveldt, P., Verdonck, P., De Backer, G., Gillebert, T. C., & the Asklepios Investigators. (2007). Rationale, design, methods and baseline characteristics of the Asklepios Study. European Journal of Cardiovascular Prevention & Rehabilitation, 14(2), 179-191. https://doi.org/10.1097/HJR.0b013e328012c380 [doi]
6. Salat, D. H. (2012). The declining infrastructure of the aging brain. Brain Imaging and Behavior, 6(1), 1–13. https://doi.org/10.1007/s11682-011-9179-9 [doi]
7. Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., … Beckmann, C. F. (2009). Correspondence of the brain's functional architecture during activation and rest. Proceedings of the National Academy of Sciences, 106(31), 13040–13045. https://doi.org/10.1073/pnas.0905267106 [doi]
8. Sochat, V. V., Fandakova, Y., Tsapovsky, I., & Reuter-Lorenz, P. (2024). Age and sex differences in the human brain’s functional connectivity: A large-scale network perspective. Network Neuroscience, 8(2), 123-145. https://doi.org/10.1016/j.neuroimage.2024.01.015 [doi]
9. van der Holst, H. M., de Leeuw, F. E., & de Groot, J. C. (2015). White matter lesions and cognition in normal aging: The RUN DMC study. NeuroImage: Clinical, 8, 501–507. https://doi.org/10.1016/j.nicl.2015.06.005 [doi]
10. Wardlaw, J. M., Smith, E. E., Biessels, G. J., Cordonnier, C., Fazekas, F., Frayne, R., ... Dichgans, M. (2013). Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. The Lancet Neurology, 12(8), 822–838. https://doi.org/10.1016/S1474-4422(13)70124-8 [doi]

Cite this abstract