Jevri Hanna

Wissenschaftliche/r Mitarbeiter/in
14195 Berlin
Personal Profile:
I am an expert in neuroscientific and statistical methods and data analysis, having originally
moved from linguistics into cognitive neuroscience. I have a wide-ranging experience working
with M/EEG in areas from language to visual and auditory processing, attention to sleep.
Throughout these different research topics my interest increasingly focussed on methodological
rigour and innovation. I am particularly enthusiastic about new challenges and finding novel
solutions to outstanding problems, and am always keen to push the state of the art forward in
all parts of the neuroscientific research process, from noise reduction to signal processing,
source localization, connectivity, to machine learning
Publications:
Hanna, J., Kim, C., Rampp, S., Buchfelder, M. & N. Müller-Voggel (2024). Decreasing alpha flow releases task-specific processing paths. Imaging Neuroscience. doi: https://doi.org/10.1101/2023.06.18.545474
Wortha, S. M., Schulz, J., Hanna, J., Schwarz, C., Stubbe, B., Frenzel, S., Bülow, R., Friedrich, N., Nauck, M., Völzke, H., Ewert, R., Vogelgesang, A., Grabe, H. J., Ladenbauer, J., & A. Flöel (2024). Association of spermidine blood levels with microstructure of sleep—Implications from a population-based study. GeroScience, 46(1), 1319–1330. https://doi.org/10.1007/s11357-023-00886-3
Hanna, J., & Flöel, A. (2023). An accessible and versatile deep learning-based sleep stage classifier. Frontiers in Neuroinformatics. https://doi.org/10.3389/fninf.2023.1086634
Ladenbauer, J., Khakimova, L., Malinowski, R., Obst, D., Tönnies, E., Antonenko, D., Obermayer, K., Hanna, J., & A. Flöel (2022). Towards optimization of oscillatory stimulation during sleep. Neuromodulation: Technology at the Neural Interface. https://doi.org/10.1016/j.neurom.2022.05.006
Hanna, J., Kim, C., Rampp, S., Buchfelder, M., & N. Müller-Voggel (2020). External noise removed from magnetoencephalographic signal using Independent Component Analyses of reference channels. Journal of Neuroscience Methods. https://doi.org/10.1016/j.jneumeth.2020.108592
Hanna, J. & F. Pulvermüller (2018). N400 reflects congruency of separable-affix verbs, as measured by mutual information and behavioural ratings. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2018.00219.
Hanna, J., Cappelle, B., & F. Pulvermüller (2017). Spread the word: MMN brain response reveals whole-form access of discontinuous verbs. Brain and Language, 175, 86-98. https://doi.org/10.1016/j.bandl.2017.10.002
Hanna, J., Shtyrov, Y., Williams, J., & F. Pulvermüller (2016). Early neurophysiological indices of second language morphosyntax learning. Neuropsychologia, 82, 18-30. https://doi.org/10.1016/j.neuropsychologia.2016.01.001
Lucchese, G., Hanna, J., Autenrieb, A. Miller, T.M.C., & F. Pulvermüller (2016). Electrophysiological evidence for early and interactive symbol access and rule processing in retrieving and combining language constructions. Journal of Cognitive Neuroscience. https://doi.org/10.1162/jocn_a_01038
Hanna, J., Mejias, S., Schelstraete, M.-A., Pulvermüller, F., Shtyrov, Y., & H. K. Van der Lely (2014). Early activation of Broca’s area in grammar processing as revealed by the syntactic mismatch negativity and distributed source analysis. Cognitive Neuroscience, 5(2), 66-76. https://doi.org/10.1080/17588928.2013.860087
Hanna, J., & F. Pulvermüller (2014). Neurophysiological evidence for whole form retrieval of complex derived words: a mismatch negativity study. Frontiers in Human Neuroscience, https://doi.org/10.3389/fnhum.2014.00886
