Publications of Frauke Beyer

Rodriguez, F. S.; Lampe, L.; Gaebler, M.; Beyer, F.; Baber, R.; Burkhardt, R.; Schroeter, M. L.; Engel, C.; Löffler, M.; Thiery, J. et al.; Villringer, A.; Riedel-Heller, S. G.; Witte, A. V.: Differences in white matter hyperintensities in socioeconomically deprived groups: Results of the population-based LIFE Adult Study. International Psychogeriatrics 36 (9), pp. 785 - 798 (2024)

Morys, F.; Janssen, L.; Cesnaite, E.; Beyer, F.; Garcia-Garcia, I.; Kumral, D.; Liem, F.; Mehl, N.; Mahjoory, K.; Schrimpf, A. et al.; Gaebler, M.; Margulies, D. S.; Villringer, A.; Neumann, J.; Nikulin, V. V.; Horstmann, A.: Hemispheric asymmetries in resting-state EEG and fMRI are related to approach and avoidance behaviour, but not to eating behaviour or BMI. Human Brain Mapping 41 (5), pp. 1136 - 1156 (2020)

Schaare, H. L.; Kharabian, S.; Beyer, F.; Kumral, D.; Uhlig, M.; Reinelt, J.; Reiter, A.; Lampe, L.; Babayan, A.; Erbey, M. et al.; Röbbig, J.; Schroeter, M. L.; Okon-Singer, H.; Mueller, K.; Mendes, N.; Margulies, D. S.; Witte, A. V.; Gaebler, M.; Villringer, A.: Association of peripheral blood pressure with gray matter volume in 19- to 40-year-old adults. Neurology 92 (8), pp. e758 - e773 (2019)

Kumral, D.; Schaare, H. L.; Beyer, F.; Reinelt, J.; Uhlig, M.; Liem, F.; Lampe, L.; Babayan, A.; Reiter, A.; Erbey, M. et al.; Röbbig, J.; Loeffler, M.; Schroeter, M. L.; Hüsser, D.; Witte, A. V.; Villringer, A.; Gaebler, M.: The age-dependent relationship between resting heart rate variability and functional brain connectivity. NeuroImage 185, pp. 521 - 533 (2019)

Kumral, D.; Beyer, F.; Husser, D.; Schroeter, M. L.; Loeffler, M.; Witte, A. V.; Villringer, A.; Gaebler, M.: Heart-brain coupling: Resting heart rate variability is associated with network architecture in the resting brain. In Journal of Cerebral Blood Flow and Metabolism, 37 (Suppl. 1), PS05-070, pp. 420 - 421. Lippincott Williams & Wilkins, New York (2017)

Hofmann, S.; Goltermann, O.; Scherf, N.; Müller, K.-R.; Löffler, M.; Villringer, A.; Gaebler, M.; Witte, A. V.; Beyer, F.: The utility of explainable A.I. for MRI analysis: Relating model predictions to neuroimaging features of the aging brain. bioRxiv (2024)