Publications

|

Anna Behler

Google Scholar

  • Faucher*, C., Behler*, A., Campbell, M.E.J., and Thienel, R., “Effect of brief dog-assisted interventions on psychobiological indicators of stress: a systematic review.” Anxiety, Stress, & Coping, (2025), doi: 10.1080/10615806.2025.2505902 *shared first-authorship
  • Jamadar, S.D., Behler, A., Deery, H., and Breakspear, M., “The metabolic costs of cognition” Trends in Cognitive Sciences (2024), doi: 10.1016/j.tics.2024.11.010
  • Thienel*, R., Borne*, L., Faucher*, C., Behler, A., …, Breakspear, M., and Lupton, M.K., “Can an online battery match in-person cognitive testing in providing information about age-related cortical morphology?” Brain Imaging and Behavior (2024). doi: \10.1007/s11682-024-00918-2 *shared first-authorship
  • Borne, L., Thienel, R., Lupton, M.K., Guo, C., Mosley, P., Behler, A., …, Breakspear, M., “The interplay of age, gender and amyloid on brain and cognition in mid-life and older adults” Scientific Reports (2024), doi: 10.1038/s41598-024-78308-3
  • Luo, X., Rechardt, A., Sun, G., Nejad, K.K., Yanez, F., Yilmaz, B., Lee, K., Cohen, A.O., Borghesani, V., Pashkov, A., Marinazzo, D., Nicholas, J., Salatiello, A., Sucholutsky, I., Minervini, P., Razavi, S., Rocca, R., Yusifov, E., Okalova, T., Gu, N., Ferianc, M., Khona, M., Patil, K.r., Lee, P.-S., Mata, R., Myers, N.E., Bizley, J.K., Musslick, S., Poyraz Bilgin, I., Niso, G., Ales, J.M., Gaebler, M., Murty, N.A.R., Loued-Khenissi, L., Behler, A., Hall, C.M., Dafflon, J., Bao, S.D., and Love, B.C., “Large language models surpass human experts in predicting neuroscience results” Nature human behaviour (2024), doi: 10.1038/s41562-024-02046-9
  • Faucher, C., Borne, L., Behler, A., Paton, B., Giorgio, J., Fripp, J., Thienel, R., Lupton, M.K., and Breakspear, M., “A central role of sulcal width in the associations of sleep duration and depression with cognition in mid to late life” SLEEP Advances (2024). doi: 10.1093/sleepadvances/zpae058
  • Becker, W., Behler, A., Vintonyak, O., and Kassubek, J., “Patterns of small involuntary fixation saccades (SIFSs) in different neurodegenerative diseases: the role of noise.” Experimental Brain Research (2023). doi: 10.1007/s00221-023-06633-6
  • Müller*, H.-P., Behler*, A., Münch, M., Dorst, J., Ludolph, A.C., and Kassubek, J., “Sequential alterations in diffusion metrics as correlates of disease severity in amyotrophic lateral sclerosis” Journal of Neurology (2023), https://doi.org/10.1007/s00415-023-11582-9 *shared first-authorship
  • Behler, A., Müller, H.-P., Ludolph, A.C., and Kassubek, J., “Diffusion Tensor Imaging in Amyotrophic Lateral Sclerosis: Machine Learning for Biomarker Development” International Journal of Molecular Sciences 24 (2023), https://doi.org/10.3390/ijms24031911
  • Kassubek, R., Weinstock, D., Behler, A., Müller, H.-P., Dupuis, L., Kassubek, J., and Ludolph, A.C., “Morphological alterations of the hypothalamus in idiopathic intracranial hypertension” Therapeutic Advances in Chronic Disease 13 (2022), https://doi.org/10.1177/20406223221141354
  • Kocar, T.D., Behler, A., Leinert, C., Denkinger, M., Ludolph, A.C., Müller, H.-P., and Kassubek, J., “Artificial neural networks for non-linear age correction of diffusion metrics in the brain” Frontiers in Aging Neuroscience 14 (2022), https://doi.org/10.3389/fnagi.2022.999787
  • Behler, A., Lulé, D., Ludolph, A.C., Kassubek, J. and Müller, H.-P., “Longitudinal monitoring of amyotrophic lateral sclerosis by diffusion tensor imaging: power calculations for group studies” Frontiers in Neuroscience 16 (2022), https://doi.org/10.3389/fnins.2022.929151
  • Behler, A., Müller, H.-P., Ludolph, A. C., Lulé, D. and Kassubek, J.,”A multivariate Bayesian classification algorithm for cerebral stage prediction by diffusion tensor imaging in amyotrophic lateral sclerosis” NeuroImage:Clinical 35 (2022), https://doi.org/10.1016/j.nicl.2022.103094
  • Behler, A., Müller, H.-P., Del Tredici, K., Braak, H., Ludolph, A. C., Lulé, D. and Kassubek, J., “Multimodal in vivo staging in amyotrophic lateral sclerosis using artificial intelligence” Annals of Clinical and Translational Neurology (2022), https://doi/10.1002/acn3.51601
  • Münch, M., Müller, H.-P., Behler, A., Ludolph, A.C., and Kassubek, J., “Segmental alterations of the corpus callosum in motor neuron disease: A DTI and texture analysis in 575 patients” NeuroImage:Clinical 35 (2022), https://doi.org/10.1016/j.nicl.2022.103061
  • Kocar, T.D., Behler, A., Ludolph, A.C., Müller, H.‐P., and Kassubek, J., “Multiparametric Microstructural MRI and Machine Learning Classification Yields High Diagnostic Accuracy in Amyotrophic Lateral Sclerosis: Proof of Concept” Frontiers in Neurology 12 (2021), doi: 10.3389/fneur.2021.745475
  • Wunderlich, J., Behler, A., Dreyhaupt, J., Ludolph, A.C., Pinkhardt, E. H. and Kassubek, J., ”Diagnostic value of video‐oculography in progressive supranuclear palsy: a controlled study in 100 patients.” Journal of Neurology 268 (2021), doi: 10.1007/s00415-021-10522-9
  • Behler, A., Knehr, A., Finsel, J., Kunz, M.S., Lang, C., Müller, K., Müller, H.‐P., Pinkhardt, E. H., Ludolph, A. C., Lulé, D. and Kassubek, J., ”Eye movement alterations in presymptomatic C9orf72 expansion gene carriers.” Journal of Neurology 268 (2021), doi: 10.1007/s00415-021-10510-z
  • Müller, H.‐P., Behler, A., Landwehrmeyer, B.G., Huppertz, H.‐J., and Kassubek, J. ”How to Arrange Follow‐Up Time‐Intervals for Longitudinal Brain MRI Studies in Neurodegenerative Diseases” Frontiers in Neuroscience 15 (2021), doi: 10.3389/fnins.2021.682812
  • Behler, A., Kassubek, J., and Müller H.‐P., ”Age‐Related Alterations in DTI Metrics in the Human Brain— Consequences for Age Correction” Frontiers in Aging Neuroscience 13 (2021), doi: 10.3389/fnagi.2021.682109
  • Müller, H.‐P., Lulé, D., Roselli, F., Behler, A., Ludolph, A.C., and Kassubek, J., ”Segmental involvement of the corpus callosum in C9orf72‐associated ALS: a tract of interest‐based DTI study.” Therapeutic Advances in Chronic Disease 12 (2021), doi: 10.1177/20406223211002969
  • Nayak, S., Thota, S., Joshi, D. C., Krautz, M., Waske, A., Behler, A., Eckert, J., Sarkar, T., Andersson, M. S., Mathieu, R., Narang, V., and Seehra, M. S., ”Magnetic compensation, field‐dependent magnetization reversal, and complex magnetic ordering in Co2TiO4” Physical Review B 92 (2015), doi: 10.1103/PhysRevB.92.214434
  • Dutta, B., Hickel, T., Neugebauer, J., Behler, C., Fähler, S., Behler, A., Waske, A., Teichert, N., Schmalhorst, J.‐M., and Hütten, A., ”Interplay of strain and interdiffusion in Heusler alloy bilayers” Physica Status Solidi ‐ Rapid Research Letters 9 (2015), doi: 10.1002/pssr.201510070
  • Teichert, N., Boehnke, A., Behler, A., Weise, B., Waske, A., and Hütten, A., ”Exchange bias effect in martensitic epitaxial Ni‐Mn‐Sn thin films applied to pin CoFeB/MgO/CoFeB magnetic tunnel junctions”, Applied Physics Letters 106 (2015), doi: 10.1063/1.4921080
  • Teichert, N., Kucza, D., Yildirim, O., Yuzuak, E., Dincer, I., Behler, A., Weise, B., Helmich, L., Boehnke, A., Klimova, S., Waske, A., Elerman, Y., and Hütten, A., ”Structure and giant inverse magnetocaloric effect of epitaxial Ni‐Co‐Mn‐Al films”, Physical Review B 91 (2014), doi: 10.1103/PhysRevB.91.184405
  • Behler, A., Teichert, N., Dutta, B., Waske, A., Hickel, T., Auge, A., Hütten, A., and Eckert, J., ”Thickness dependent exchange bias in martensitic epitaxial Ni‐Mn‐Sn thin films”, AIP Advances 3 (2013), doi: 10.1063/1.4849795