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Dr. rer. nat. Mehdi Behroozi

Ruhr-University Bochum
Fakultät für Psychologie
AE Biopsychologie
D-44780 Bochum, Germany

Room: IB 6-137
Phone: +49 234 32 26845
Fax: +49 234 32 14377
E-Mail: mehdi.behroozi@rub.de


CURRICULUM VITAE

METHODS AND RESEARCH INTERESTS
  • Avian cognition and behaviour
  • Magnetic Resonance Imaging (MRI)
  • Functional MRI (fMRI)
  • Diffusion Tensor Imaging (DTI)
  • Statistical Pattern Recognition
  • Machine Learning

Publication List

2023

  • Ungurean G.*, Behroozi M.*, Böger L., Helluy X., Libourel P.A., Güntürkün O., Rattenborg N.C. (2023) Wide-spread brain activation and reduced CSF flow during avian REM sleep. Nature Communications 14, 3259.
  • Behroozi M., Güntürkün O. and Van der Linden A. (2023) Editorial: Awake functional imaging of small animals. Front. Neurosci. 17:1226623. 
  • Khodadadi M., Helluy X., Güntürkün O., and Behroozi M. (2023) Segmented Spin-Echo EPI imaging improves whole-brain BOLD signals in awake pigeon brain. NMR in Biomedicine; e5034.
  • Gerussi T., Graic JM., Peruffo A., Behroozi M., Schlaffke L., Huggenberger S., Güntürkün O., Cozzi B. (2023) The prefrontal cortex of the bottlenose dolphin (Tursiops truncatus Montagu, 1821). A tractography study and comparison with the human. Brain Structure and Function. 228, 1963–1976 (2023). https://doi.org/10.1007/s00429-023-02699-8

2021

  • Russo, G., Helluy, X., Behroozi, M. and Manahan-Vaughan, D. (2021). Gradual restraint habituation for awake functional magnetic resonance imaging combined with a sparse imaging paradigm reduces motion artifacts and stress levels in rodents. Frontiers in Neuroscience, 15:805679
  • Tabrik S., Behroozi M., Schlaffke L., Heba S., Lenz M., Lissek S., Güntürkün O., Tegenthoff M. (2021) Visual and tactile modalities share common features in object recognition. eNeuro, 8(5):ENEURO.0101-21
  • Wittek, N., Matsui, H., Behroozi, M., Otto, T., Wittek, K., Sarı, N., Stoecker, S., Letzner, S., Choudhary, V. & Güntürkün, O. (2021). Independence between hemispheres during perceptual decision making in evidence accumulation process of pigeons. Journal of experimental psychology: Animal learning and cognition, 47(3):303–316.

2020

  • Behroozi, M., Helluy, X., Ströckens, F., Meng, G., Pusch, R., Tabrik, S., Tegenthoff, M., Otto, T., Axmacher, N., Genc E., Güntürkün O. (2020). Event-Related functional MRI in awake behaving pigeons. Nature Communications. 11, 4715.
  • Billings B.K.*, Behroozi M.*, Helluy X., Bhagwandin A., Manger P.R., Güntürkün O., Ströckens F. (2020) A 3-dimensionsal digital atlas of the Nile crocodile (Crocodylus niloticus) forebrain. Brain Structure and Function, 225, 683–703.

2018

  • Behroozi M., Billings B.K., Helluy X., Manger P.R., Güntürkün O., Ströckens F. (2018) Functional MRI in the Nile crocodile: a new avenue for evolutionary neurobiology. Proc. R. Soc. B. Biol. Sci. 285, 20180178.
  • Parhizi B., Daliri M.R., Behroozi M. (2018) Decoding the different states of visual attention using functional and effective connectivity features in fMRI data. Cognitive Neurodynamics, 12: 157.
  • Behroozi M., Chwiesko C., Ströckens F., Sauvage M., Helluy, X., Peterburs J., Güntürkün O. (2018) In Vivo Measurement of T1 and T2 Relaxation Times in Awake Pigeon and Rat Brains at 7T. Magnetic Resonance in Medicine, 79:1090–1100.

2017

  • Behroozi M., Ströckens F., Helluy X., Stacho M., Güntürkün O. (2017) Functional Connectivity Pattern of the Internal Hippocampal Network in Awake Pigeons: a Resting-State fMRI Study. Brain, Behavior and Evolution, 90:62–72.

2016

  • Behroozi M., Daliri M.R., Shekarchi B. (2016) EEG Phase Patterns Reflect the Representation of Semantic Categories of Objects. Med Biol Eng Comput. 54(1):205-21.

2015

  • Behroozi M. and Daliri M. R. (2015) RDLPFC Area of the Brain Encodes the Sentence Polarity: a Study Using fMRI. Brain Imaging and Behav, 9(2):178-89.

2014

  • Behroozi M. and Daliri M. R. (2014) Prediction Brain States Associated with Object Categories from fMRI Data. J Integr Neurosci, 13(4):645-667.

2013

  • Daliri M.R., Behroozi M., (2013) Advantage and Disadvantages of Resting State Functional Connectivity Magnetic Resonance Imaging (fcMRI) for Clinical Applications. OMICS J Radiology. 3: e123.

2012

  • Behroozi M. and Daliri M. R. (2012) Software Tools for Functional Magnetic Resonance Imaging (fMRI). Basic and Clinical Neuroscience, 3(5): 19-20.
  • Daliri MR, Behroozi M (2012) fMRI: Clinical and Research Applications. OMICS J Radiology. 1:e112.

2011

  • Behroozi M.,Daliri M. R., Boyaci H. (2011) Statistical analysis methods for the fMRI data. Basic and Clinical Neuroscience. 2(4):67-74.