Publikationen
Abdelrahman, A. A., Hempel, T., Khalifa, A., & Al-Hamadi, A. (2024). Fine-grained gaze estimation based on the combination of regression and classification losses. Applied Intelligence, 54(21), 10982–10994. https://doi.org/10.1007/s10489-024-05778-3
Abdulbaki, A., Doll, T., Helgers, S., Heissler, H. E., Voges, J., Krauss, J. K., Schwabe, K., & Alam, M. (2024). Subthalamic Nucleus Deep Brain Stimulation Restores Motor and Sensorimotor Cortical Neuronal Oscillatory Activity in the Free-Moving 6-Hydroxydopamine Lesion Rat Parkinson Model. Neuromodulation: Journal of the International Neuromodulation Society, 27(3), 489–499. https://doi.org/10.1016/j.neurom.2023.01.014
Afzal, S., Dürrast, N., Hassan, I., Soleimanpour, E., Tsai, P.-L., Dieterich, D. C., & Fendt, M. (2024). Probing cognitive flexibility in Shank2-deficient mice: Effects of D-cycloserine and NMDAR signaling hub dynamics. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 134, 111051. https://doi.org/10.1016/j.pnpbp.2024.111051
Al-Jaberi, F., Moeskes, M., Skalej, M., Fachet, M., & Hoeschen, C. (2024). 3D-visualization of segmented contacts of directional deep brain stimulation electrodes via registration and fusion of CT and FDCT. EJNMMI Reports, 8(1), 17. https://doi.org/10.1186/s41824-024-00208-6
Allartz, P., Hotop, S.-K., Muntau, B., Schlaphof, A., Thomé-Bolduan, C., Gabriel, M., Petersen, N., Lintzel, M., Behrens, C., Eggert, P., Pörtner, K., Steiner, J., Brönstrup, M., & Tappe, D. (2024). Detection of bornavirus-reactive antibodies and BoDV-1 RNA only in encephalitis patients from virus endemic areas: A comparative serological and molecular sensitivity, specificity, predictive value, and disease duration correlation study. Infection, 52(1), 59–71. https://doi.org/10.1007/s15010-023-02048-1
Allwang, C., Frank, T., Bruckmann, P., Dinkel, A., Binneboese, M., Wallis, H., Elgner, M., Giel, K. E., Schurr, M., Gündel, H., Wedekind, L., Kuhn, J., Lahmann, C., Müller, A.-M., Beckmann, P., Massag, J., Mikolajczyk, R., & Junne, F. (2024). Addressing psychosocial needs in patients with Long-COVID (PsyLoCo-Study): Study protocol of a pilot-study of a specialized modular intervention. Frontiers in Psychiatry, 15, 1305691. https://doi.org/10.3389/fpsyt.2024.1305691
Al-Nosairy, K. O., Rodenbeck, K., Vorholt, S., Djouoma, N., Thieme, H., Müller, F., & Hoffmann, M. B. (2024). Rapid campimetry—A novel robust kinetic approach for visual field screening in glaucoma. Frontiers in Medicine, 11, 1419147. https://doi.org/10.3389/fmed.2024.1419147
Al-Tawil, B., Hempel, T., Abdelrahman, A., & Al-Hamadi, A. (2024). A review of visual SLAM for robotics: Evolution, properties, and future applications. Frontiers in Robotics and AI, 11, 1347985. https://doi.org/10.3389/frobt.2024.1347985
Amedick, G., Krylova, M., Mayer, K., Izyurov, I., Herrmann, L., Martens, L., Kasties, V., Heller, J., Li, M., van der Meer, J., Croy, I., Engert, V., Walter, M., & Colic, L. (2024). Association among childhood adversity and susceptibility to interference during varying salience: Two studies in healthy males. Scientific Reports, 14(1), 7050. https://doi.org/10.1038/s41598-024-57025-x
Amini, A., Allgaier, M., Saalfeld, S., Stein, K.-P., Rashidi, A., Swiatek, V. M., Sandalcioglu, I. E., & Neyazi, B. (2024). Virtual Reality vs Phantom Model: Benefits and Drawbacks of Simulation Training in Neurosurgery. Operative Neurosurgery, 27(5), 618–631. https://doi.org/10.1227/ons.0000000000001167
Amini, A., Swiatek, V. M., Stein, K.-P., Rashidi, A., Sandalcioglu, I. E., & Neyazi, B. (2024). Pterional vs. lateral supraorbital approach in the management of middle cerebral artery aneurysms: Insights from a phantom model study. Neurosurgical Review, 47(1), 344. https://doi.org/10.1007/s10143-024-02518-6
Amunts, K., Axer, M., Banerjee, S., Bitsch, L., Bjaalie, J. G., Brauner, P., Brovelli, A., Calarco, N., Carrere, M., Caspers, S., Charvet, C. J., Cichon, S., Cools, R., Costantini, I., D’Angelo, E. U., De Bonis, G., Deco, G., DeFelipe, J., Destexhe, A., … Zaborszky, L. (2024). The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing. Imaging Neuroscience, 2, imag–2–00137. https://doi.org/10.1162/imag_a_00137
Andac, S., Stolle, F. H., Bernard, M., Al-Nosairy, K. O., Wolbers, T., & Hoffmann, M. B. (2024). Navigation performance in glaucoma: Virtual-reality-based assessment of path integration. Scientific Reports, 14(1), 21320. https://doi.org/10.1038/s41598-024-72040-8
Andersen, M. S., Kofoed, M. S., Paludan-Müller, A. S., Pedersen, C. B., Mathiesen, T., Mawrin, C., Olsen, B. B., Halle, B., & Poulsen, F. R. (2024). CRIME-Q-a unifying tool for critical appraisal of methodological (technical) quality, quality of reporting and risk of bias in animal research. BMC Medical Research Methodology, 24(1), 306. https://doi.org/10.1186/s12874-024-02413-0
Arboit, A., Krautwald, K., & Angenstein, F. (2024). Hemodynamic responses in the rat hippocampus are simultaneously controlled by at least two independently acting neurovascular coupling mechanisms. Journal of Cerebral Blood Flow and Metabolism: Official Journal of the International Society of Cerebral Blood Flow and Metabolism, 44(6), 896–910. https://doi.org/10.1177/0271678X231221039
Arndt, P., Chahem, C., Luchtmann, M., Kuschel, J.-N., Behme, D., Pfister, M., Neumann, J., Görtler, M., Dörner, M., Pawlitzki, M., Jansen, R., Meuth, S. G., Vielhaber, S., Henneicke, S., & Schreiber, S. (2024). Risk factors for intracerebral hemorrhage in small-vessel disease and non-small-vessel disease etiologies-an observational proof-of-concept study. Frontiers in Neurology, 15, 1322442. https://doi.org/10.3389/fneur.2024.1322442
Attardo, A., & Cambridge, S. B. (2024). Learning to become addicted, one synapse at a time. Neural Regeneration Research, 19(2), 401–402. https://doi.org/10.4103/1673-5374.379046
Aue, A., & Kirch, C. (2024). The state of cumulative sum sequential changepoint testing 70 years after Page. Biometrika, 111(2), 367–391. https://doi.org/10.1093/biomet/asad079
Baessler, F., Zafar, A., Koelkebeck, K., Frodl, T., Signerski-Krieger, J., Pinilla, S., Barth, G. M., Jannowitz, D., Speerforck, S., Roesch-Ely, D., Kluge, I., Aust, M., Utz, J., Kersten, G.-M., & Spitzer, P. (2024). What do the teachers want? A targeted needs assessment survey for prospective didactic training of psychiatry medical educators. GMS Journal for Medical Education, 41(2), Doc18. https://doi.org/10.3205/zma001673
Barnstedt, O., Mocellin, P., & Remy, S. (2024). A hippocampus-accumbens code guides goal-directed appetitive behavior. Nature Communications, 15(1), 3196. https://doi.org/10.1038/s41467-024-47361-x
Baumeister, H., Vogel, J. W., Insel, P. S., Kleineidam, L., Wolfsgruber, S., Stark, M., Gellersen, H. M., Yakupov, R., Schmid, M. C., Lüsebrink, F., Brosseron, F., Ziegler, G., Freiesleben, S. D., Preis, L., Schneider, L.-S., Spruth, E. J., Altenstein, S., Lohse, A., Fliessbach, K., … Berron, D. (2024). A generalizable data-driven model of atrophy heterogeneity and progression in memory clinic settings. Brain: A Journal of Neurology, 147(7), 2400–2413. https://doi.org/10.1093/brain/awae118
Beckmann, F.-E., Gruber, H., Seidenbecher, S., Schirmer, S. T., Metzger, C. D., Tozzi, L., & Frodl, T. (2024). Specific alterations of resting-state functional connectivity in the triple network related to comorbid anxiety in major depressive disorder. The European Journal of Neuroscience, 59(7), 1819–1832. https://doi.org/10.1111/ejn.16249
Behrendt, T., Quisilima, J. I., Bielitzki, R., Behrens, M., Glazachev, O. S., Brigadski, T., Leßmann, V., & Schega, L. (2024). Brain-Derived neurotrophic factor and inflammatory biomarkers are unaffected by acute and chronic intermittent hypoxic-hyperoxic exposure in geriatric patients: A randomized controlled trial. Annals of Medicine, 56(1), 2304650. https://doi.org/10.1080/07853890.2024.2304650
Beiersdorfer, A., Rothermel, M., & Lohr, C. (2024). Human olfaction: Odour coding and cross-modal concept representation in single olfactory cortex neurons. Signal Transduction and Targeted Therapy, 9(1), 333. https://doi.org/10.1038/s41392-024-02073-y
Beldzik, E., & Ullsperger, M. (2024). A thin line between conflict and reaction time effects on EEG and fMRI brain signals. Imaging Neuroscience, 2, imag–2–00161. https://doi.org/10.1162/imag_a_00161
Berger, K., Schiefner, F., Rudolf, M., Awiszus, F., Junne, F., Vogel, M., & Lohmann, C. H. (2024). Long-term effects of doping with anabolic steroids during adolescence on physical and mental health. Orthopadie, 53(8), 608–616. https://doi.org/10.1007/s00132-024-04498-3
Bernal, J., Menze, I., Yakupov, R., Peters, O., Hellmann-Regen, J., Freiesleben, S. D., Priller, J., Spruth, E. J., Altenstein, S., Schneider, A., Fliessbach, K., Wiltfang, J., Schott, B. H., Jessen, F., Rostamzadeh, A., Glanz, W., Incesoy, E. I., Buerger, K., Janowitz, D., … Ziegler, G. (2024). Longitudinal evidence for a mutually reinforcing relationship between white matter hyperintensities and cortical thickness in cognitively unimpaired older adults. Alzheimer’s Research & Therapy, 16(1), 240. https://doi.org/10.1186/s13195-024-01606-5
Bernarding, J., Bruns, C., Prediger, I., Mützel, M., & Plaumann, M. (2024). Detection of sub-nmol amounts of the antiviral drug favipiravir in 19F MRI using photo-chemically induced dynamic nuclear polarization. Scientific Reports, 14(1), 1527. https://doi.org/10.1038/s41598-024-51454-4
Berron, D., Glanz, W., Clark, L., Basche, K., Grande, X., Güsten, J., Billette, O. V., Hempen, I., Naveed, M. H., Diersch, N., Butryn, M., Spottke, A., Buerger, K., Perneczky, R., Schneider, A., Teipel, S., Wiltfang, J., Johnson, S., Wagner, M., … Düzel, E. (2024). A remote digital memory composite to detect cognitive impairment in memory clinic samples in unsupervised settings using mobile devices. NPJ Digital Medicine, 7(1), 79. https://doi.org/10.1038/s41746-024-00999-9
Berron, D., Olsson, E., Andersson, F., Janelidze, S., Tideman, P., Düzel, E., Palmqvist, S., Stomrud, E., & Hansson, O. (2024). Remote and unsupervised digital memory assessments can reliably detect cognitive impairment in Alzheimer’s disease. Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, 20(7), 4775–4791. https://doi.org/10.1002/alz.13919
Bershadskyy, D., Dinges, L., Fiedler, M.-A., Al-Hamadi, A., Ostermaier, N., & Weimann, J. (2024). Experimental economics for machine learning-a methodological contribution on lie detection. PloS One, 19(12), e0314806. https://doi.org/10.1371/journal.pone.0314806
Bershadskyy, D., Sachs, F. E., & Weimann, J. (2024). ChatGPT’s financial discrimination between rich and poor—Misaligned with human behavior and expectations (arXiv:2406.16572). arXiv. https://doi.org/10.48550/arXiv.2406.16572
Besteher, B., Rocktäschel, T., Garza, A. P., Machnik, M., Ballez, J., Helbing, D.-L., Finke, K., Reuken, P., Güllmar, D., Gaser, C., Walter, M., Opel, N., & Rita Dunay, I. (2024). Cortical thickness alterations and systemic inflammation define long-COVID patients with cognitive impairment. Brain, Behavior, and Immunity, 116, 175–184. https://doi.org/10.1016/j.bbi.2023.11.028
Beyer, R., Al-Nosairy, K. O., Freitag, C., Stolle, F. H., Behrens, M., Prabhakaran, G. T., Thieme, H., Schega, L., & Hoffmann, M. B. (2024). Treadmill-walking impairs visual function in early glaucoma and elderly controls. Graefe’s Archive for Clinical and Experimental Ophthalmology = Albrecht Von Graefes Archiv Fur Klinische Und Experimentelle Ophthalmologie, 262(11), 3671–3680. https://doi.org/10.1007/s00417-024-06530-w
Blömeke, L., Rehn, F., Kraemer-Schulien, V., Kutzsche, J., Pils, M., Bujnicki, T., Lewczuk, P., Kornhuber, J., Freiesleben, S. D., Schneider, L.-S., Preis, L., Priller, J., Spruth, E. J., Altenstein, S., Lohse, A., Schneider, A., Fliessbach, K., Wiltfang, J., Hansen, N., … Peters, O. (2024). Aβ oligomers peak in early stages of Alzheimer’s disease preceding tau pathology. Alzheimer’s & Dementia, 16(2), e12589. https://doi.org/10.1002/dad2.12589
Blömeke, L., Rehn, F., Pils, M., Kraemer-Schulien, V., Cousin, A., Kutzsche, J., Bujnicki, T., Freiesleben, S. D., Schneider, L.-S., Preis, L., Priller, J., Spruth, E. J., Altenstein, S., Schneider, A., Fliessbach, K., Wiltfang, J., Hansen, N., Rostamzadeh, A., Düzel, E., … Willbold, D. (2024). Blood-based quantification of Aβ oligomers indicates impaired clearance from brain in ApoE ε4 positive subjects. Communications Medicine, 4(1), 262. https://doi.org/10.1038/s43856-024-00690-w
Braun, J., Bernarding, J., Snellings, J., Meyer, T., Dantas de Moraes, P. A., Safraou, Y., Wells, R. G., Guo, J., Tzschätzsch, H., Zappe, A., Pagel, K., Sauer, I. M., Hillebrandt, K. H., & Sack, I. (2024). On the relationship between viscoelasticity and water diffusion in soft biological tissues. Acta Biomaterialia, 182, 42–53. https://doi.org/10.1016/j.actbio.2024.05.007
Busch, A., Roy, S., Helbing, D. L., Colic, L., Opel, N., Besteher, B., Walter, M., Bauer, M., & Refisch, A. (2024). Gut microbiome in atypical depression. Journal of Affective Disorders, 349, 277–285. https://doi.org/10.1016/j.jad.2024.01.060
Campana, M., Yakimov, V., Moussiopoulou, J., Maurus, I., Löhrs, L., Raabe, F., Jäger, I., Mortazavi, M., Benros, M. E., Jeppesen, R., Meyer Zu Hörste, G., Heming, M., Giné-Servén, E., Labad, J., Boix, E., Lennox, B., Yeeles, K., Steiner, J., Meyer-Lotz, G., … Wagner, E. (2024). Association of symptom severity and cerebrospinal fluid alterations in recent onset psychosis in schizophrenia-spectrum disorders—An individual patient data meta-analysis. Brain, Behavior, and Immunity, 119, 353–362. https://doi.org/10.1016/j.bbi.2024.04.011
Canada, K. L., Mazloum-Farzaghi, N., Rådman, G., Adams, J. N., Bakker, A., Baumeister, H., Berron, D., Bocchetta, M., Carr, V. A., Dalton, M. A., de Flores, R., Keresztes, A., La Joie, R., Mueller, S. G., Raz, N., Santini, T., Shaw, T., Stark, C. E. L., Tran, T. T., … Hippocampal Subfields Group. (2024). A (sub)field guide to quality control in hippocampal subfield segmentation on high-resolution T2-weighted MRI. Human Brain Mapping, 45(15), e70004. https://doi.org/10.1002/hbm.70004
Cangalaya, C., Sun, W., Stoyanov, S., Dunay, I. R., & Dityatev, A. (2024). Integrity of neural extracellular matrix is required for microglia-mediated synaptic remodeling. Glia, 72(10), 1874–1892. https://doi.org/10.1002/glia.24588
Caporuscio, C., & Fink, S. B. (2024). Epistemic Risk Reduction in Psychedelic-Assisted Therapy. Current Topics in Behavioral Neurosciences. https://doi.org/10.1007/7854_2024_531
Cavalli, P., Raffauf, A., Passarella, S., Helmuth, M., Dieterich, D. C., & Landgraf, P. (2024). Manipulation of DHPS activity affects dendritic morphology and expression of synaptic proteins in primary rat cortical neurons. Frontiers in Cellular Neuroscience, 18, 1465011. https://doi.org/10.3389/fncel.2024.1465011
Chatterjee, M., Özdemir, S., Fritz, C., Möbius, W., Kleineidam, L., Mandelkow, E., Biernat, J., Doğdu, C., Peters, O., Cosma, N. C., Wang, X., Schneider, L.-S., Priller, J., Spruth, E., Kühn, A. A., Krause, P., Klockgether, T., Vogt, I. R., Kimmich, O., … Schneider, A. (2024). Plasma extracellular vesicle tau and TDP-43 as diagnostic biomarkers in FTD and ALS. Nature Medicine, 30(6), 1771–1783. https://doi.org/10.1038/s41591-024-02937-4
Chatterjee, S., Saad, F., Sarasaen, C., Ghosh, S., Krug, V., Khatun, R., Mishra, R., Desai, N., Radeva, P., Rose, G., Stober, S., Speck, O., & Nürnberger, A. (2024). Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images. Journal of Imaging, 10(2), 45. https://doi.org/10.3390/jimaging10020045
Chatterjee, S., Sarasaen, C., Rose, G., Nürnberger, A., & Speck, O. (2024). DDoS-UNet: Incorporating Temporal Information Using Dynamic Dual-Channel UNet for Enhancing Super-Resolution of Dynamic MRI. IEEE Access, 12, 99122–99136. https://doi.org/10.1109/ACCESS.2024.3427674
Chatterjee, S., Sciarra, A., Dünnwald, M., Ashoka, A. B. T., Vasudeva, M. G. C., Saravanan, S., Sambandham, V. T., Tummala, P., Oeltze-Jafra, S., Speck, O., & Nürnberger, A. (2024). Beyond Nyquist: A Comparative Analysis of 3D Deep Learning Models Enhancing MRI Resolution. Journal of Imaging, 10(9), 207. https://doi.org/10.3390/jimaging10090207
Chelini, G., Mirzapourdelavar, H., Durning, P., Baidoe-Ansah, D., Sethi, M. K., O’Donovan, S. M., Klengel, T., Balasco, L., Berciu, C., Boyer-Boiteau, A., McCullumsmith, R., Ressler, K. J., Zaia, J., Bozzi, Y., Dityatev, A., & Berretta, S. (2024). Focal clusters of peri-synaptic matrix contribute to activity-dependent plasticity and memory in mice. Cell Reports, 43(5), 114112. https://doi.org/10.1016/j.celrep.2024.114112
Chen, X., Wei, Z., & Wolbers, T. (2024). Repetition Suppression Reveals Cue-Specific Spatial Representations for Landmarks and Self-Motion Cues in the Human Retrosplenial Cortex. eNeuro, 11(4), ENEURO.0294-23.2024. https://doi.org/10.1523/ENEURO.0294-23.2024
Cho, H., & Kirch, C. (2024). Data segmentation algorithms: Univariate mean change and beyond. Econometrics and Statistics, 30, 76–95. https://doi.org/10.1016/j.ecosta.2021.10.008
Cieslik, E. C., Ullsperger, M., Gell, M., Eickhoff, S. B., & Langner, R. (2024). Success versus failure in cognitive control: Meta-analytic evidence from neuroimaging studies on error processing. Neuroscience and Biobehavioral Reviews, 156, 105468. https://doi.org/10.1016/j.neubiorev.2023.105468
Conca, F., Gibbons, D. M., Bayram, B., Incesoy, E. I., Tacchini, M., Düzel, E., Cappa, S. F., & Catricalà, E. (2024). TACO: A Turkish database for abstract concepts. Behavior Research Methods, 56(7), 7427–7439. https://doi.org/10.3758/s13428-024-02428-x
Corriveau-Lecavalier, N., Adams, J. N., Fischer, L., Molloy, E. N., & Maass, A. (2024). Cerebral hyperactivation across the Alzheimer’s disease pathological cascade. Brain Communications, 6(6), fcae376. https://doi.org/10.1093/braincomms/fcae376
Danyeli, L. V., Sen, Z. D., Colic, L., Opel, N., Refisch, A., Blekic, N., Macharadze, T., Kretzschmar, M., Munk, M. J., Gaser, C., Speck, O., Walter, M., & Li, M. (2024). Cortical thickness of the posterior cingulate cortex is associated with the ketamine-induced altered sense of self: An ultra-high field MRI study. Journal of Psychiatric Research, 172, 136–143. https://doi.org/10.1016/j.jpsychires.2024.02.019
Deane, K. E., Klymentiev, R., Heck, J., Mark, M. D., Ohl, F. W., Heine, M., & Happel, M. F. K. (2024). Inhibiting presynaptic calcium channel motility in the auditory cortex suppresses synchronized input processing. Frontiers in Cellular Neuroscience, 18, 1369047. https://doi.org/10.3389/fncel.2024.1369047
Deike, K., Decker, A., Scheyhing, P., Harten, J., Zimmermann, N., Paech, D., Peters, O., Freiesleben, S. D., Schneider, L.-S., Preis, L., Priller, J., Spruth, E., Altenstein, S., Lohse, A., Fliessbach, K., Kimmich, O., Wiltfang, J., Bartels, C., Hansen, N., … Radbruch, A. (2024). Machine Learning-Based Perivascular Space Volumetry in Alzheimer Disease. Investigative Radiology, 59(9), 667–676. https://doi.org/10.1097/RLI.0000000000001077
Demaili, A., Portugalov, A., Maroun, M., Akirav, I., Braun, K., & Bock, J. (2024). Early life stress induces decreased expression of CB1R and FAAH and epigenetic changes in the medial prefrontal cortex of male rats. Frontiers in Cellular Neuroscience, 18, 1474992. https://doi.org/10.3389/fncel.2024.1474992
Dembeck, M., Dieterich, D. C., & Fendt, M. (2024). The GluN2C/D-specific positive allosteric modulator CIQ rescues delay-induced working memory deficits in mice. Behavioural Brain Research, 456, 114716. https://doi.org/10.1016/j.bbr.2023.114716
Dercksen, T. T., Widmann, A., Noesselt, T., & Wetzel, N. (2024). Somatosensory omissions reveal action-related predictive processing. Human Brain Mapping, 45(4), e26550. https://doi.org/10.1002/hbm.26550
Deschner, F., Risch, T., Baier, C., Schlüter, D., Herrmann, J., & Müller, R. (2024). Nitroxoline resistance is associated with significant fitness loss and diminishes in vivo virulence of Escherichia coli. Microbiology Spectrum, 12(1), e0307923. https://doi.org/10.1128/spectrum.03079-23
Diebig, M., Gritzka, S., Gast, M., Erschens, R., Gündel, H., Hofmann, S., Junne, F., Schröpel, C., & Angerer, P. (2024). Leaders’ mental health and leader-member exchange: Exploring relations on different levels of analysis. Scandinavian Journal of Psychology, 65(6), 1113–1122. https://doi.org/10.1111/sjop.13057
Dinges, L., Fiedler, M.-A., Al-Hamadi, A., Hempel, T., Abdelrahman, A., Weimann, J., Bershadskyy, D., & Steiner, J. (2024). Exploring facial cues: Automated deception detection using artificial intelligence. Neural Computing and Applications, 36(24), 14857–14883. https://doi.org/10.1007/s00521-024-09811-x
Djouoma, N., Müller, F., Stolle, F. H., Hoffmann, F., Thieme, H., Hoffmann, M. B., & Al-Nosairy, K. O. (2024). Rapid Campimetry in glaucoma—Correspondence with standard perimetry and OCT. Scientific Reports, 14(1), 25400. https://doi.org/10.1038/s41598-024-75037-5
Doering, E., Antonopoulos, G., Hoenig, M., van Eimeren, T., Daamen, M., Boecker, H., Jessen, F., Düzel, E., Eickhoff, S., Patil, K., Drzezga, A., & Alzheimer’s Disease Neuroimaging Initiative and the DELCODE Study Group. (2024). MRI or 18F-FDG PET for Brain Age Gap Estimation: Links to Cognition, Pathology, and Alzheimer Disease Progression. Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine, 65(1), 147–155. https://doi.org/10.2967/jnumed.123.265931
Dörner, M., Seebach, K., Heneka, M. T., Menze, I., von Känel, R., Euler, S., Schreiber, F., Arndt, P., Neumann, K., Hildebrand, A., John, A.-C., Tyndall, A., Kirchebner, J., Tacik, P., Jansen, R., Grimm, A., Henneicke, S., Perosa, V., Meuth, S. G., … Bernal, J. (2024). Inferior Frontal Sulcal Hyperintensities on Brain MRI Are Associated with Amyloid Positivity beyond Age-Results from the Multicentre Observational DELCODE Study. Diagnostics, 14(9), 940. https://doi.org/10.3390/diagnostics14090940
Dörner, M., Tyndall, A., Hainc, N., von Känel, R., Neumann, K., Euler, S., Schreiber, F., Arndt, P., Fuchs, E., Garz, C., Glanz, W., Butryn, M., Schulze, J. B., Schiebler, S. L. F., John, A.-C., Hildebrand, A., Hofmann, A. B., Machetanz, L., Kirchebner, J., … Schreiber, S. (2024). Neuropsychiatric symptoms and lifelong mental activities in cerebral amyloid angiopathy—A cross-sectional study. Alzheimer’s Research & Therapy, 16(1), 196. https://doi.org/10.1186/s13195-024-01519-3
Du, R., Sanin, A. Y., Shi, W., Huang, B., Nickel, A.-C., Vargas-Toscano, A., Huo, S., Nickl-Jockschat, T., Dumitru, C. A., Hu, W., Duan, S., Sandalcioglu, I. E., Croner, R. S., Alcaniz, J., Walther, W., Berndt, C., & Kahlert, U. D. (2024). Muscarinic receptor drug trihexyphenidyl can alter growth of mesenchymal glioblastoma in vivo. Frontiers in Pharmacology, 15, 1468920. https://doi.org/10.3389/fphar.2024.1468920
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