Suchergebnisse

Bokharaie, V.: A study on the effects of containment policies and vaccination on the spread of SARS-CoV-2. PLoS One 16 (3) (2021)

Lorenz, R.; Johal, M.; Dick, F.; Hampshire, A.; Leech, R.; Geranmayeh, F.: A Bayesian optimization approach for rapidly mapping residual network function in stroke. Brain 144 (7), S. 2120 - 2134 (2021)

Martens, L.; Herrmann, L.; Colic, L.; Li, M.; Richter, A.; Behnisch, G.; Stork, O.; Seidenbecher, C.; Schott, B.; Walter, M.: Met carriers of the BDNF Val66Met polymorphism show reduced Glx/NAA in the pregenual ACC in two independent cohorts. Scientific Reports 11 (1), 6742 (2021)

Sargent, K.; Chavez-Baldini, U.; Master, S.; Verweij, K.; Lok, A.; Sutterland, A.; Vulink, N.; Denys, D.; Smit, D.; Nieman, D.: Resting-state brain oscillations predict cognitive function in psychiatric disorders: A transdiagnostic machine learning approach. NeuroImage: Clinical 30, 102617, S. 1 - 9 (2021)

Sukenik, N.; Vinogradov, O.; Weinreb, E.; Segal, M.; Levina, A.; Moses, E.: Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers. Proceedings of the National Academy of Sciences of the United States of America 118 (12), e2018459118 (2021)

Wang, G.; Angelovski, G.: Highly Potent MRI Contrast Agent Displaying Outstanding Sensitivity to Zinc Ions. Angewandte Chemie International Edition 60 (11), S. 5734 - 5738 (2021)

Kirschfeld, K.: Mutationsgeschehen des Corona-Virus: Was die Politik versäumt. Cicero 2021 (02) (2021)

Becker, S.; Granert, O.; Timmers, M.; Pilotto, A.; Van Nueten , L.; Roeben, M.; Salvadore, G.; Galpern, W.; Streffer, J.; Scheffler, K. et al.; Maetzler, W.; Berg, D.; Liepelt Scarfone, I.: Association of Hippocampal Subfields, CSF Biomarkers, and Cognition in Patients With Parkinson Disease Without Dementia. Neurology 96 (6), S. e904 - e915 (2021)

Bogadhi, A.; Katz, L.; Bollimunta, A.; Leopold, D.; Krauzlis, R.: Midbrain activity shapes high-level visual properties in the primate temporal cortex. Neuron 109 (4), S. 690 - 699 (2021)

Bokharaie, V.: MiTfAT: A Python-based Analysis Tool for Molecular fMRI Experiments. The Journal of Open Source Software 6 (58), 2827, S. 1 - 3 (2021)

Borbath, T.; Murali-Manohar, S.; Wright, A.; Henning, A.: In vivo characterization of downfield peaks at 9.4 T: T2 relaxation times, quantification, pH estimation, and assignments. Magnetic Resonance in Medicine 85 (2), S. 587 - 600 (2021)

Castro, G.; Wang, G.; Gambino, T.; Esteban-Gómez, D.; Valencia, L.; Angelovski, G.; Platas-Iglesias , C.; Pérez-Lourido, P.: Lanthanide(III) Complexes Based on an 18-Membered Macrocycle Containing Acetamide Pendants. Structural Characterization and paraCEST Properties. Inorganic Chemistry 60 (3), S. 1902 - 1914 (2021)

Foster, C.; Bülthoff, I.; Bartels, A.; Zhao, M.: Investigating holistic face processing within and outside of face-responsive brain regions. NeuroImage 226, 117565 (2021)

Geldschläger, O.; Bosch, D.; Avdievich, N.; Henning, A.: Ultrahigh-resolution quantitative spinal cord MRI at 9.4T. Magnetic Resonance in Medicine 85 (2), S. 1013 - 1027 (2021)

Han, W.; de Araujo, I.: Nausea and the Brain: The Chemoreceptor Trigger Zone Enters the Molecular Age. Neuron 109 (3), S. 391 - 393 (2021)

Lacosse, E.; Scheffler, K.; Lohmann, G.; Martius, G.: Jumping over baselines with new methods to predict activation maps from resting-state fMRI. Scientific Reports 11 (1), 3480, S. 1 - 15 (2021)

Messinger, A.; Sirmpilatze, N.; Heuer, K.; Loh, K.; Mars, R.; Sein, J.; Xu, T.; Glen, D.; Jung, B.; Seidlitz, J. et al.; Taylor, P.; Toro, R.; Garza-Villarreal, E.; Sponheim, C.; Wang, X.; Benn, R.; Cagna, B.; Dadarwal, R.; Evrard, H.; Garcia-Saldivar, P.; Giavasis, S.; Hartig, R.; Lepage, C.; Liu, C.; Majka, P.; Merchant, H.; Milham, M.; Rosa, M.; Tasserie, J.; Uhrig, L.; Margulies, D.; Klink, P.: A collaborative resource platform for non-human primate neuroimaging. NeuroImage 226, 117519 (2021)

Murali-Manohar, S.; Wright, A.; Borbath, T.; Avdievich, N.; Henning, A.: A novel method to measure T1-relaxation times of macromolecules and quantification of the macromolecular resonances. Magnetic Resonance in Medicine 85 (2), S. 601 - 614 (2021)

Sobczak, F.; He, Y.; Sejnowski, T.; Yu, X.: Predicting the fMRI Signal Fluctuation with Recurrent Neural Networks Trained on Vascular Network Dynamics. Cerebral Cortex 31 (2), S. 826 - 844 (2021)

Tickner, B.; Borozdina, Y.; Duckett, S.; Angelovski, G.: Exploring the hyperpolarisation of EGTA-based ligands using SABRE. Dalton Transactions 50 (7), S. 2448 - 2461 (2021)