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I am postdoc at the Multimodal Imaging Group of the Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital/University of Oslo.

I have a broad theoretical and experimental experience in an area of neuroimaging and magnetic resonance. On the one hand, I was working on multiple theoretical and computational aspects of solid/liquid state nuclear magnetic resonance. On the other hand, I am actively involved in computational and clinical studies, in particular, a big data analysis and development of a new instrumentation for ultra-high field magnetic resonance (MR). As a result, it allows me to use deep analogies from the different MR physics and computer science areas and successfully apply them to my ongoing projects.

Magnetic resonance imaging has become a critical and integrated part of modern medicine and diagnostics, with an increasing importance of technological developments and application of advanced neuroimaging techniques. My main research focus is an application of modern MRI modalities such as diffusion/perfusion weighted imaging, magnetic resonance spectroscopy to our running clinical studies. I try to utilise various advanced MRI approaches in order to improve a sensitivity and specificity of the big data analysis for clinical and cognitive studies, for example, such as schizophrenia and bipolar spectrum disorders or understanding of neuroplasticity mechanisms and attention and memory functions.



1994-2000 Department of Physics, Moscow State University, Moscow, Russian Federation

2000-2004 Theoretical Department, Institute of Problems of Chemical Physics, Russian Academy of Sciences, Chernogolovka, Rusian Federation


2007-2009 Department of Chemistry, University of Aarhus, Aarhus, Denmark

2009-2014 Institute of Neuroscience and Medicine, Research Centre Juelich, Juelich, Germany

Emneord: Nevrovitenskap, Nevropsykologi, MRI, Avdeling for kognitiv og klinisk nevrovitenskap


  • Pogosbekian, Eduard; Pronin, Igor N; Zakharova, Natalia; Batalov, A.I.; Turkin, A.M.; Konakova, T.A. & Maximov, Ivan (2021). Feasibility of generalised diffusion kurtosis imaging approach for brain glioma grading. Neuroradiology.  ISSN 0028-3940. . doi: https://doi.org/10.1007/s00234-020-02613-7 Vis sammendrag
  • Voldsbekk, Irene; Groote, Inge Rasmus; Zak, Nathalia; Roelfs, Daniël Thomas Heimen; Geier, Oliver; Due-Tønnesen, Paulina; Løkken, Lise Linn; Strømstad, Marie; Blakstvedt, Taran Y; Kuiper, Yvonne S; Elvsåshagen, Torbjørn; Westlye, Lars Tjelta; Bjørnerud, Atle & Maximov, Ivan (2021). Sleep and sleep deprivation differentially alter white matter microstructure: A mixed model design utilising advanced diffusion modelling. NeuroImage.  ISSN 1053-8119.  226, s 117540 . doi: https://doi.org/10.1016/j.neuroimage.2020.117540 Vis sammendrag
  • Beck, Dani; de Lange, Ann-Marie Glasø; Maximov, Ivan; Richard, Geneviève; Andreassen, Ole Andreas; Jan E., Nordvik & Westlye, Lars Tjelta (2020). White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction. NeuroImage.  ISSN 1053-8119. . doi: https://doi.org/10.1016/j.neuroimage.2020.117441 Fulltekst i vitenarkiv.
  • de Lange, Ann-Marie Glasø; Barth, Claudia; Kaufmann, Tobias; Maximov, Ivan; van der Meer, Dennis; Agartz, Ingrid & Westlye, Lars Tjelta (2020). Women's brain aging: effects of sex-hormone exposure, pregnancies, and genetic risk for Alzheimer's disease. Human Brain Mapping.  ISSN 1065-9471.  s 1- 10 . doi: 10.1002/hbm.25180 Fulltekst i vitenarkiv.
  • Kremneva, Elena I.; Maximov, Ivan; Dobrynina, Larisa A. & Krotenkova, Marina V. (2020). The assessment of cerebral white matter microstructure in cerebral small vessel disease based on the diffusion-weighted magnetic resonance imaging. Annals of Clinical and Experimental Neurology.  ISSN 2075-5473.  14(1), s 33- 43 . doi: 10.25692/ACEN.2020.1.4
  • Tønnesen, Siren; Kaufmann, Tobias; de Lange, Ann-Marie Glasø; Richard, Geneviève; Doan, Nhat Trung; Alnæs, Dag; van der Meer, Dennis; Rokicki, Jaroslav; Moberget, Torgeir; Maximov, Ivan; Agartz, Ingrid; Aminoff, Sofie Ragnhild; Beck, Dani; Barch, Deanna M.; Beresniewicz, Justyna; Cervenka, Simon; Fatouros-Bergman, Helena; Craven, Alexander R.; Flyckt, Lena; Gurholt, Tiril Pedersen; Haukvik, Unn Kristin H.; Hugdahl, Kenneth; Johnsen, Erik; Jönsson, Erik Gunnar; Kolskår, Knut-Kristian; Kroken, Rune Andreas; Lagerberg, Trine Vik; Løberg, Else-Marie; Nordvik, Jan Egil; Sanders, Anne-Marthe; Ulrichsen, Kristine Moe; Andreassen, Ole Andreas & Westlye, Lars Tjelta (2020). Brain age prediction reveals aberrant brain white matter in schizophrenia and bipolar disorder: A multisample diffusion tensor imaging study. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.  ISSN 2451-9022.  5(12), s 1095- 1103 . doi: 10.1016/j.bpsc.2020.06.014 Fulltekst i vitenarkiv.
  • Voldsbekk, Irene; Maximov, Ivan; Zak, Nathalia; Roelfs, Daniël Thomas Heimen; Geier, Oliver; Due-Tønnessen, Paulina; Elvsåshagen, Torbjørn; Strømstad, Marie; Bjørnerud, Atle & Groote, Inge Rasmus (2020). Evidence for wakefulness-related changes to extracellular space in human brain white matter from diffusion-weighted MRI.. NeuroImage.  ISSN 1053-8119.  212, s 116682 . doi: 10.1016/j.neuroimage.2020.116682 Fulltekst i vitenarkiv.
  • Kremneva, Elena; Legostaeva, Ludmila; Morozova, Sofya; Sergeev, Dmitry; Sinitsyn, Dmitry; Iazeva, Elizaveta; Suslin, Aleksandr; Suponeva, Natalia; Krotenkova, Marina; Piradov, Michael & Maximov, Ivan (2019). Feasibility of Non-Gaussian Diffusion Metrics in Chronic Disorders of Consciousness. Brain Sciences.  ISSN 2076-3425.  9(5), s 123 . doi: 10.3390/brainsci9050123 Fulltekst i vitenarkiv.
  • Maximov, Ivan; Alnæs, Dag & Westlye, Lars Tjelta (2019). Towards an optimised processing pipeline for diffusion magnetic resonance imaging data: Effects of artefact corrections on diffusion metrics and their age associations in UK Biobank. Human Brain Mapping.  ISSN 1065-9471.  40, s 4146- 4162 . doi: https://doi.org/10.1002/hbm.24691 Fulltekst i vitenarkiv.
  • Maximov, Ivan & Vellmer, Sebastian (2019). Isotropically weighted intravoxel incoherent motion brain imaging at 7T.. Magnetic Resonance Imaging.  ISSN 0730-725X.  57, s 124- 132 . doi: 10.1016/j.mri.2018.11.007 Fulltekst i vitenarkiv. Vis sammendrag
  • Moutal, Nicolas; Maximov, Ivan & Grebenkov, Denis (2019). Probing surface-to-volume ratio of an anisotropic medium by diffusion NMR with general gradient encoding. IEEE Transactions on Medical Imaging.  ISSN 0278-0062.  38(11), s 2507- 2522 . doi: 10.1109/TMI.2019.2902957

Se alle arbeider i Cristin

  • Geier, Oliver; Viekilde Pfeiffer, Helle; Nguyen, Bac; Hagen Kersten, Åsmund; Moltu, Sissel Jenifer & Maximov, Ivan (2019). Survey of maturation state in premature neonates using diffusion weighted and multi-echo T2 imaging.
  • Maximov, Ivan; Alnæs, Dag & Westlye, Lars Tjelta (2019). Influence of diffusion pipeline on data analysis: UK Biobank example for age-diffusion dependences.
  • Maximov, Ivan & Westlye, Lars Tjelta (2019). Variability of NODDI metrics between AMICO and original NODDI in UK Biobank data.
  • Moutal, Nicolas; Maximov, Ivan & Grebenkov, Denis (2019). An accurate surface-to-volume ratio estimation by general diffusion gradient waveform.
  • Moutal, Nicolas; Maximov, Ivan & Grebenkov, Denis (2019). Optimized diffusion gradient waveforms for estimating surface-to-volume ratio of an anisotropic medium.
  • Voldsbekk, Irene; Roelfs, Daniël Thomas Heimen; Bjørnerud, Atle; Groote, Inge Rasmus & Maximov, Ivan (2019). White matter microstructure changes as a function of time-of-day: a biomarker of accumulating sleep pressure?.
  • Maximov, Ivan; Vellmer, Sebastian; Stirnberg, Rudiger & Stoecker, Tony (2018). Isotropic diffusion weighted 3D oscillating gradients at 7T.

Se alle arbeider i Cristin

Publisert 11. jan. 2018 13:44 - Sist endret 9. mai 2018 13:54