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Results: 98
Number of items: 98
  • Bazin, P. L. E. A. (2020, October 26). Statistics files [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.12452444.v2
  • Bazin, P. L. E. A., Caan, M. W. A., Marques, J. P., de Hollander, G., Dumoulin, S. O., & van der Zwaag, W. (2020, May 14). Sample Whole-Brain MP2RAGEME [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.12280316.v2
  • Bazin, P. L. E. A., Forstmann, B., & Alkemade, A. (2020, May 14). AHEAD template [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.12301106.v2
  • Gorgolewski, C., Mendes, N., Wilfling, D., Wladimirow, E., Gauthier, C. J., Bonnen, T., Ruby, F. J., Trampel, R., Margulies, D. S., Bazin, P.-L., Cozatl, R., Smallwood, J., & Margulies, D. S. (2019). A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures [Data set]. Openneuro. https://doi.org/10.18112/openneuro.ds001168.v1.0.0
  • Bazin, P. L. E. A., Alkemade, A., van der Zwaag, W., Caan, M. W. A., Mulder, M., & Forstmann, B. (2019, April 5). Raw measurements for the statistics [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.7952270.v1
  • Heuer, K., Gulban, O. F., Bazin, P.-L., Osoianu, A., Valabregue, R., Santin, M., Herbin, M., & Toro, R. (2019). Evolution of neocortical folding: A phylogenetic comparative analysis of MRI from 34 primate species. Cortex, 118, 275-291. https://doi.org/10.1016/j.cortex.2019.04.011
  • Kalloch, B., Bode, J., Kozlov, M., Pampel, A., Hlawitschka, M., Sehm, B., Villringer, A., Möller, H. E., & Bazin, P.-L. (2019). Semi-automated generation of individual computational models of the human head and torso from MR images. Magnetic Resonance in Medicine, 81(3), 2090-2105. https://doi.org/10.1002/mrm.27508
  • Lampe, L., Kharabian-Masouleh, S., Kynast, J., Arelin, K., Steele, C. J., Löffler, M., Witte, A. V., Schroeter, M. L., Villringer, A., & Bazin, P.-L. (2019). Lesion location matters: The relationships between white matter hyperintensities on cognition in the healthy elderly. Journal of cerebral blood flow and metabolism, 39(1), 36-43. https://doi.org/10.1177/0271678X17740501
  • Open Access
    Lampe, L., Zhang, R., Beyer, F., Huhn, S., Kharabian Masouleh, S., Preusser, S., Bazin, P.-L., Schroeter, M. L., Villringer, A., & Witte, A. V. (2019). Visceral obesity relates to deep white matter hyperintensities via inflammation. Annals of Neurology, 85(2), 194-203. https://doi.org/10.1002/ana.25396
  • Open Access
    Babayan, A., Erbey, M., Kumral, D., Reinelt, J. D., Reiter, A. M. F., Röbbig, J., Schaare, H. L., Uhlig, M., Anwander, A., Bazin, P.-L., Horstmann, A., Lampe, L., Nikulin, V. V., Okon-Singer, H., Preusser, S., Pampel, A., Rohr, C. S., Sacher, J., Thöne-Otto, A., ... Villringer, A. (2019). A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults. Scientific Data, 6, Article 180308. https://doi.org/10.1038/sdata.2018.308
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