Wallstein, N.; Pampel, A.; Müller, R.; Möller, H. E.: Analysis of radiation damping effects on T1‐measurements of paramagnetic solutions at 3 Tesla. In: Abstractband der 53. Jahrestagung der Deutschen Gesellschaft für Medizinische Physik 2022. 53. Jahrestagung der Deutschen Gesellschaft für Medizinische Physik & 24. Jahrestagung der Deutschen Sektion der ISMRM, Aachen, September 21, 2022 - September 24, 2022. (2022)

Hofmann, S.; Koushik, A.; Klotzsche, F.; Nikulin, V. V.; Villringer, A.; Gaebler, M.: Testing the effect of depth on the perception of faces in an online study. In: Proceedings of the 2022 Conference on Cognitive Computational Neuroscience. Conference on Cognitive Computational Neuroscience (CCN), San Francisco, August 25, 2022 - August 28, 2022. (2022)

Hansen, H.; Hebart, M. N.: Semantic features of object concepts generated with GPT-3. In: Proceedings of the Annual Meeting of the Cognitive Science Society, Vol. 44. (2022)

Eichner, C.; Paquette, M.; Gerbeth, H.; Jäger, C.; Bock, C.; Gallardo, G.; Möller, T.; Crockford, C.; Wittig, R.; Weiskopf, N. et al.; Friederici, A. D.; Anwander, A.: Does one size fit all? Reconstructing crossing fibers in diffusion MRI using spherical deconvolution with local response functions. In: Proceedings of the 31th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Vol. 31, 0877. (2022)

Paquette, M.; Eichner, C.; Anwander, A.: Connectivity matrix from a fODF weighted graph: An alternative to probabilistic tractography. In: Proceedings of the 31st Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Vol. 31, 0431. (2022)

Wallstein, N.; Pöppl, A.; Capucciati, A.; Pampel, A.; Jäger, C.; Zucca, F.; Monzani, E.; Casella, L.; Zecca, L.; Möller, H. E.: Interplay of iron and copper in the neuromelanin-related paramagnetic relaxation enhancement. In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2022. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, May 07, 2022 - May 12, 2022. (2022)

Quintero, L.; Papapetrou, P.; Muñoz, J. E.; de Mooij, J.; Gaebler, M.: Excite-O-Meter: An open-source unity plugin to analyze heart activity and movement trajectories in custom VR environments. In: Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), pp. 46 - 47. (2022)

Nikulin, V. V.: Predicting task performance and brain responses with ongoing neural activity. In: Proceedings of the 10th International Winter Conference on Brain-Computer Interface (BCI). (2022)

Brammerloh, M.; Kirilina, E.; Sibgatulin, R.; Herrmann, K.-H.; Jäger, C.; Pelicon, P.; Pine, K.; Vavpetič, P.; Morawski, M.; Reichenbach, J. R. et al.; Weiskopf, N.: Field dependence of T2* contrast in human substantia nigra. In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, Vol. 30, 11. (2022)

Rösch, S.; Schmidt, R.; Wimmer, J.; Lührs, M.; Ehlis, A.-C.; Hilbert, A.: Mechanisms underlying fNIRS-neurofeedback over the prefrontal cortex for patients with binge-eating disorder. In: 29th Annual Meeting of the Society for the Study of Ingestive Behaviour. 29th Annual Meeting of the Society for the Study of Ingestive Behaviour, July 12, 2022 - July 16, 2022. (2022)

Stehwien, S.; Meyer, L.: Short-term periodicity of prosodic phrasing: Corpus-based evidence. In: Proceedings of Speech Prosody 2022, pp. 693 - 698. Speech Prosody, Lisbon, Portugal, May 23, 2022 - May 26, 2022. (2022)

Torrecuso, R.; Mueller, K.; Holiga, Š.; Urgosik, D.; Vymazal, J.; Sieger, T.; Růžička, F.; Růžička, E.; Schroeter, M. L.; Jech, R. et al.; Möller, H. E.: Different brain areas require different analysis models: fMRI observations in Parkinson's disease. In: Proceedings of the ISMRM 31st Annual Meeting & Exhibition. 2022 ISMRM Conference & Exhibition, May 07, 2022 - May 12, 2022. (2022)

Villalón-Reina, J. E.; Moreau, C. A.; Nir, T. M.; Jahanshad, N.; Maillard, A.; Romascano, D.; Draganski, B.; Lippé, S.; Bearden, C. E.; Kia, S. M. et al.; Marquand, A. F.; Jacquemont, S.; Thompson, P. M.: Multi-site normative modeling of diffusion tensor imaging metrics using hierarchical bayesian regression. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022: Lecture Notes in Computer Science, Vol. 13431, pp. 207 - 217 (Eds. Wang, L.; Dou, Q.; Fletcher, P. T.; Speidel, S.; Li, S.). Springer Nature Switzerland, Cham (2022)

Zsido, R.; Williams, A. N.; Barth, C.; Serio, B.; Kurth, L.; Beyer, F.; Witte, A. V.; Villringer, A.; Sacher, J.: Menstrual cycle brain plasticity: Ultra-high field 7 T MRI reveals changes in human medial temporal lobe volume in female adults. In Neuropsychopharmacology, 47 (1), pp. 241 - 242. Springer Nature, New York, NY (2022)

Wei, X.; Adamson, H.; Schwendemann, M.; Goucha, T.; Friederici, A. D.; Anwander, A.: Second language learning related structural white matter plasticity. In Proceedings of the 14th Annual Meeting of the Society for the Neurobiology of Language (SNL), 14, 651. (2022)

Hilbert, A.; Akay, E.; Rieger, J.; Schottler, R.; Schymczyk, R.; Khalil, A.; Galinovic, I.; Sobesky, J.; Madai, V.; Frey, D.: A deep learning analysis of stroke onset time prediction and comparison to DWI-flair mismatch. In International Journal of Stroke, 17 (Suppl. 3), O043. Blackwell, Oxford, UK (2022)

Hilbert, A.; Schymczyk, R.; Schottler, R.; Madai, V.; Khalil, A.; Galinovic, I.; Sobesky, J.; Frey, D.: Representational similarities limit multi-modal deep learning in acute ischemic stroke decision support. In International Journal of Stroke, 17 (Suppl. 3), O132. Blackwell, Oxford, UK (2022)

Hussenoeder, F. S.; Conrad, I.; Lobner, M.; Loffler, M.; Tonjes, A.; Sturmvoll, M.; Villringer, A.; Riedel-Heller, S.: Understanding eating-related health outcomes: connections between anxiety and eating behavior. In European Journal of Public Health, 32 (Suppl. 3), ckac129.69. London, Oxford Univ. Press (2022)

Löser, A.; Dalla, B. S.; Keller, P. E.; Obrig, H.; Engel, A.: Aus dem Takt? Zusammenhänge zwischen rhythmischen Fähigkeiten und Exekutivfunktionen bei neurologischen Patient_innen. In Zeitschrift für Neuropsychologie, 33 (3), pp. 170 - 171. 37. Jahrestagung der Gesellschaft für Neuropsychologie (GNP), Marburg, Germany, September 08, 2022 - September 10, 2022. H. Huber, Bern (2022)

Schlögl, H.; Villringer, A.; Miehle, K.; Stumvoll, M.; Mueller, K.: Metreleptin robustly increases resting-state brain connectivity in patients with lipodystrophy. In Diabetologia, 65 (Suppl. 1), p. S258 - S258. Springer-Verlag Heidelberg, Heidelberg (2022)

Tebbe, A.-L.; Rothmaler, K.; Köster, M.; Grosse Wiesmann, C.: Neural object processing in infants and adults is influenced by the perspective of others. In Proceedings of the Annual Meeting of the Society-for-Psychophysiological-Research (SPR), 59 (Suppl. 1), p. S128 - S128. (2022)

Beltran Velandia, F.; Gómez, J.; Suarez, M.; Ojeda, A.; León, E.: Classification of music-evoked emotions from EEG signals using self-organizing maps. In: Proceedings of the International Conference on Electrical, Computer and Energy Technologies. International Conference on Electrical, Computer and Energy Technologies, Prague, Czech Republic, July 20, 2022 - July 22, 2022. (accepted)

Thieleking, R.; Medawar, E.; Villringer, A.; Witte, A. V.: Do wanting, hunger and brain microstructure predict recognition performance and lure discrimination of food items? A pre-registered analysis. In Proceedings of the 29th Annual Meeting of the Society of the Study of Ingestive Behaviour. (2022)

Denissen, S.; Engemann, D. A.; De Cock, A.; Costers, L.; Baijot, J.; Laton, J.; Penner, I.K.; Grothe, M.; Kirsch, M.; D'hooghe, M. B. et al.; D'haeseleer, M.; Dive, D.; De Mey, J.; Van Schependom, J.; Sima, D.; Nagels, G.: Brain age as a surrogate marker for IPS in MS. In Multiple Sclerosis Journal, 28 (Suppl. 2), O2. Sage, London (2022)

Wang, H.; Girbardt, J.; Zulke, A.; Luppa, M.; Witte, A. V.; Li, Y. J. N.; Wang, M. Y.; Wirkner, K.; Engel, C.; Loeffler, M. et al.; Kirsten, T.; Schroeter, M. L.; Villringer, A.; Riedel-Heller, S.; Rauscher, F. G.; Elze, T.: Relationship between retinal layer thicknesses of the macula and depression. In Investigative Ophthalmology and Visual Science, 63 (7), 124 - A028. Association for Research in Vision and Ophthalmology, etc., Hagerstown, MD, etc. (2022)