Nazarova, M.; Asmolova, A.; Makarova, M.; Sukmanova, A.; Novikov, P.; Sundaram, P.; Nikulin, V. V.: Multi-muscle TMS mapping: Reliability, malleability, clinical aspects, and methodology. In Brain Stimulation, 16 (1), pp. 213 - 214. Elsevier, New York, NY (2023)

Numssen, O.; Weise, K.; Kalloch, B.; Zier, A. L.; Thielscher, J.; Hartwigsen, G.; Knösche, T. R.: Precise motor mapping with TMS. In Brain Stimulation, 16 (1), 214. Elsevier, New York, NY (2023)

Weise, K.; Worbs, T.; Kalloch, B.; Numssen, O.; Hartwigsen, G.; Knösche, T. R.: An efficient and easy-to-use model to determine the stimulation thresholds in transcranial brain stimulation and its application to TMS mapping. In Brain Stimulation, 16 (1), 149. Elsevier, New York, NY (2023)

Best, P. T.; Bocchetta, M.; Rohrer, J. D.; Rowe, J. B.; Borroni, B.; Galimberti, D.; Tiraboschi, P.; Masellis, M.; Trataglia, M. C.; Finger, E. et al.; van Swieten, J. C.; Seelaar, H.; Jiskoot, L. C.; Sorbi, S.; Butler, C.; Graff, C.; Gerhard, A.; Langheinrich, T.; Laforce, R.; Sanchez‐Valle, R.; Mendonca, A.; Moreno, F.; Synofzik, M.; Vandenberghe, R.; Ber, I. L.; Levin, J.; Danek, A.; Otto, M.; Pasquier, F.; Santana, I.; Schroeter, M. L.; Remes, A.; Waldö, M. L.; Pijnenburg, Y. A.L.; Nielsen, J. E.; Van Langenhove, T.; Chakravarty, M.; Ducharme, S.: Hypothalamic volumes predict sleep dysfunction in genetic frontotemporal dementia. In Alzheimer's & Dementia, 19 (Suppl. 3), e061536. Wiley, Hoboken, New Jersey, USA (2023)

Röhr, S.; Pabst, A.; Witte, A. V.; Schroeter, M. L.; Loeffler, M.; Villringer, A.; Riedel‐Heller, S. G.: Social isolation, lifestyle and cognitive functioning in midlife and early‐late life: Implications for risk reduction of cognitive decline and dementia. In Alzheimer's & Dementia, 19 (Suppl. 8), e061194. Wiley, Hoboken, New Jersey, USA (2023)

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)

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)

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)

Pellegrini, F.; Nikulin, V. V.; Haufe, S.: How to avoid measurement of spurious inter-regional functional connectivity from EEG: A simulation study. In Clinical Neurophysiology, 137, pp. e60 - e61. Elsevier, Amsterdam (2022)

Medawar, E.; Witte, A. V.: Impact of obesity and diet on brain structure and function: A gut-brain-body crosstalk. In Proceedings of the Nutrition Society. Cambridge University Press (2022)

Schaadt, G.; Zsido, R.; Friederici, A. D.; Villringer, A.; Obrig, H.; Männel, C.; Sacher, J.: Association of maternal mood postpartum with electroencephalography patterns of infant speech development at 2 and 6 months. In Neuropsychopharmacology, 46 (Suppl. 1), pp. 144 - 145. Springer Nature, New York, NY (2021)

Beinhölzl, N.; Molloy, E.; Zsido, R.; Richter, T.; Piecha, F. A.; Zheleva, G.; Scharrer, U.; Regenthal, R.; Villringer, A.; Okon-Singer, H. et al.; Sacher, J.: One-week of escitalopram administration does not change emotional and attentional responses in healthy female individuals on oral hormonal contraceptives. In European Neuropsychopharmacology, 53 (Suppl. 1), pp. S603 - S604. Elsevier, Amsterdam (2021)

Jastrzebowska, M. A.; Ozkirli, A.; Draganski, B.; Herzog, M. H.: The role of population receptive field size and recurrent processing in learning to "de-crowd". In Perception, 50 (Suppl. 1), pp. 169 - 170. Pion Ltd., London (2021)

Jordan, B.; Fourcade, A.; Gaebler, M.; Scherf, N.; Loheit, A.-C.; Villringer, A.: Linking acute stress and heart rate variability in daily life while accounting for physical activity: A machine learning approach. In Journal of Computational Neuroscience, 49 (Suppl. 1), pp. S193 - S194. Kluwer Academic Publishers, Boston (2021)