Publications of Evgeniya Kirilina

Brammerloh, M., Morawski, M., Friedrich, I., Reinert, T., Lange, C., Pelicon, P., … Kirilina, E. (2021). Measuring the iron content of dopaminergic neurons in substantia nigra with MRI relaxometry. NeuroImage, 239. doi:10.1016/j.neuroimage.2021.118255

Hu, J. Y., Kirilina, E., Nierhaus, T., Ovadia‐Caro, S., Livne, M., Villringer, K., … Khalil, A. (2021). A novel approach for assessing hypoperfusion in stroke using spatial independent component analysis of resting‐state fMRI. Human Brain Mapping. doi:10.1002/hbm.25610

Weiskopf, N., Edwards, L., Helms, G., Mohammadi, S., & Kirilina, E. (2021). Quantitative magnetic resonance imaging of brain anatomy and in vivo histology. Nature Reviews Physics. doi:10.1038/s42254-021-00326-1

Friedrich , I., Reimann, K., Jankuhn, S., Kirilina, E., Stieler, J., Sonntag, M., … Morawski, M. (2021). Cell specific quantitative iron mapping on brain slices by immuno-μPIXE in healthy elderly and Parkinson’s disease. Acta Neuropathologica, 9. doi:10.1186/s40478-021-01145-2

Kirilina, E., Helbling, S., Morawski, M., Pine, K., Reimann, K., Jankuhn, S., … Weiskopf, N. (2020). Superficial white matter imaging: Contrast mechanisms and whole-brain in vivo mapping. Science Advances, 6. doi:10.1126/sciadv.aaz9281

Alkemade, A., Pine, K., Kirilina, E., Keuken, M. C., Mulder, M. J., Balesar, R., … Forstmann, B. U. (2020). 7 Tesla MRI followed by histological 3D reconstructions in whole-brain specimens. Frontiers in Neuroanatomy, 14. doi:10.3389/fnana.2020.536838

Attar, F. M., Kirilina, E., Haenelt, D., Pine, K., Trampel, R., Edwards, L., & Weiskopf, N. (2020). Mapping short association fibers in the early cortical visual processing stream using in vivo diffusion tractography. Cerebral Cortex, 30, 4496–4514.

Bhandari, R., Kirilina, E., Caan, M., Suttrup, J., De Sanctis, T., De Angelis, L., … Gazzola, V. (2020). Does higher sampling rate (multiband + SENSE) improve group statistics - An example from social neuroscience block design at 3T. NeuroImage, 213. doi:10.1016/j.neuroimage.2020.116731

Tanrıtanır, A. C., Villringer, K., Galinovic, I., Grittner, U., Kirilina, E., Fiebach, J. B., … Khalil, A. (2020). The effect of scan length on the assessment of BOLD delay in ischemic stroke. Frontiers in Neurology, 11. doi:10.3389/fneur.2020.00381

Papazoglou, S., Streubel, T., Ashtarayeh, M., Pine, K., Edwards, L., Brammerloh, M., … Mohammadi, S. (2019). Biophysically motivated efficient estimation of the spatially isotropic R∗2 component from a single gradient-recalled echo measurement. Magnetic Resonance in Medicine, 82, 1804–1811.

Natu, V. S., Gomez, J., Barnett, M., Jeska, B., Kirilina, E., Jäger, C., … Grill-Spector, K. (2019). Apparent thinning of human visual cortex during childhood is associated with myelination. Proceedings of the National Academy of Sciences of the United States of America, 116, 20750–20759.

Betts, J., Kirilina, E., Otaduy, C. G., Ivanov, D., Acosta-Cabronero, J., Callaghan, M. F., … Hämmerer, D. (2019). Locus coeruleus imaging as a biomarker for noradrenergic dysfunction in neurodegenerative diseases. Brain, 142, 2558–2571.

Edwards, L., Kirilina, E., Mohammadi , S., & Weiskopf, N. (2018). Microstructural imaging of human neocortex in vivo. NeuroImage, 182, 184–206.

Morawski, M., Kirilina, E., Scherf, N., Jäger, C., Reimann, K., Trampel, R., … Weiskopf, N. (2018). Developing 3D microscopy with CLARITY on human brain tissue: Towards a tool for informing and validating MRI-based histology. NeuroImage, 182, 417–428.

Lichtner, G., Auksztulewicz, R., Kirilina, E., Velten, H., Mavrodis, D., Scheel, M., … von Dincklage, F. (2018). Effects of propofol anesthesia on the processing of noxious stimuli in the spinal cord and the brain. NeuroImage, 172, 642–653.

Wu, Y.-hao, Uluç, I., Schmidt, T. T., Tertel, K., Kirilina, E., & Blankenburg, F. (2018). Overlapping frontoparietal networks for tactile and visual parametric working memory representations. NeuroImage, 166, 325–334.

Limanowski, J., Kirilina, E., & Blankenburg, F. (2017). Neuronal correlates of continuous manual tracking under varying visual movement feedback in a virtual reality environment. NeuroImage, 146, 81–89.

Meshi, D., Mamerow, L., Kirilina, E., Morawetz, C., Margulies, D. S., & Heekeren, H. (2016). Sharing self-related information is associated with intrinsic functional connectivity of cortical midline brain regions. Scientific Reports, 6. doi:10.1038/srep22491

Kirilina, E., Lutti, A., Poser, B. A., Blankenburg, F., & Weiskopf, N. (2016). The quest for the best: The impact of different EPI sequences on the sensitivity of random effect fMRI group analyses. NeuroImage, 126, 49–59.

Thierbach, K., Bazin, P.-L., de Back, W., Gavriilidis, F., Kirilina, E., Jäger, C., … Scherf, N. (2018). Combining deep learning and active contours opens the way to robust, automated analysis of brain cytoarchitectonics. In Machine Learning in Medical Imaging 2018 (pp. 179–187). Cham: Springer.