1. Posse, S., Wiese, S., Gembris, D., Mathiak, K., Kessler, C., Grosse-Ruyken, M.-L., Elghawagh, B., Richards, T., Dager, S. R., Kiselev, V. G., Enhancement of BOLD-Contrast Sensitivity by Single-Shot Multi-Echo Functional MR Imaging, Magnetic. Resonance. Med., 42 (1): 87-97, 1999.
2. Gembris, D., Taylor, J.G., Schor, S., Frings, W., Suter, D., Posse, S., Functional MR Imaging in Real-Time using a sliding-window correlation technique, Magnetic Resonance in. Medicine., 43: 259-268, 2000
3. Mathiak, K., Posse, S., Evaluation of Motion and Realignment for Functional Magnetic Resonance Imaging in Realtime, Magnetic Resonance in Medicine 45(1):167-171, 2001
4. Posse, S., Binkofski, F., Schneider, F., Gembris, D., Frings, W., Habel, U., Salloum, J.B., Mathiak, K., Wiese, S., Kiselev, V., Graf, T., Elghawaghi, B., Eickermann, T., A New Approach to Measure Single Event Related Brain Activity using Real-Time fMRI: Feasibility of sensory, motor, and higher cognitive tasks, Human Brain Mapping, 12(1); 25-41, 2001
5. Posse, S., Fitzgerald, D., Gao, K., Habel, U., Rosenberg, D., Moore, G.J., Schneider, F., Real-Time fMRI of Temporo-Limbic Regions Detects Amygdala Activation During Single Trial Self-Induced Sadness, NeuroImage, 18, 760-768, 2003
6. Martínez-Ramón M., Koltchinsky V., Verzi, S., Heileman, G., Posse, S., Optimal Aggregation of Classifiers and Boosted Maps in Multiclass Real-time fMRI Pattern Recognition, Neuroimage, 2006 Jul 1;31(3):1129-41
7. Posse, S., Ackley, E., Mutihac, R., Rick, J., Shane, M., Murray-Krezan, C., Zaitsev, M., Speck, O. Enhancement of Temporal Resolution and BOLD Sensitivity in Real-Time fMRI using Multi-Slab Echo-Volumar Imaging, NeuroImage 2012 May 15;61(1):115-30. Epub 2012, Feb 28. PMID: 22398395
8. Zheng, W., Ackley E., Martinez-Ramon, M., Posse, S., Spatially aggregated multiclass pattern classification in functional MRI using optimally selected functional brain areas, Magn Reson Imaging, 2013 Feb;31(2):247-61.
9. Posse, S., Ackley, E., Mutihac, R., Zhang, T., Hummatov, R., Akhtari, M., Chohan, M.O., Fisch, B., Yonas, H., High-Speed Real-Time Resting State fMRI using Multi-Slab Echo-Volumar Imaging. Front. Hum. Neurosci., 2013 Aug 26;7:479. doi: 10.3389/fnhum.2013.00479.
10. Trapp, C, Vakamudi, K, Posse, S, NeuroImage, On the Detection of High Frequency Correlations in Resting State fMRI, Neuroimage. 2018 Jan 1;164:202-213. doi: 10.1016/j.neuroimage.2017.01.059. Epub 2017 Feb 3.
11. Vakamudi K, Posse S, Jung R, Cushnyr, B., Chohan MO, Real-time Presurgical Resting-State fMRI in Patients with Brain Tumors: Quality Control and Comparison with Task-fMRI and Intra-Operative Mapping, Hum Brain Mapp. 2020 Feb 15;41(3):797-814. doi: 10.1002/hbm.24840. Epub 2019 Nov 6
12. Vakamudi, K, Trapp, C, Talaat, K., Gao, K., Sa De La Rocque Guimaraes, B, Posse, S, Real-time Resting-State fMRI using Averaged Sliding Windows with Partial Correlations and Regression of Confounding Signals, Brain Connectivity, 2020 Oct;10(8):448-463.
doi: 10.1089/brain.2020.0758. Epub 2020 Oct 8.
13. Posse, S. et al. Real-time fMRI using multi-band echo-volumar imaging with millimeter spatial resolution and sub-second temporal resolution at 3 tesla. Front Neurosci. 2025 Mar 12:19:1543206. doi: 10.3389 fnins.2025.1543206.
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