Alexander Lebedev


MD PhD, Psychology

+46 76 590 4649
alexander.lebedev@ki.se
KI Profile page: http://ki.se/en/people/alexle

Alexander LebedevAlexander V. Lebedev is a psychiatrist, working as a postdoctoral researcher at ARC. He is currently involved in several projects at the Brain Lab (Hjärnlabbet) utilizing methods of multimodal imaging to study plastic brain changes associated with cognitive training. As a member of the REBOOT group, Alexander investigates the role of various neurotransmitter systems in brain plasticity and learning.

His research interests span neurodynamics underlying higher cognitive functions, creativity, adult development, as well as altered states of consciousness, psychosis and depersonalization phenomena.

In a broad sense, Alexander is interested in how the brain shapes virtually all core aspects of who we are, and to what extent these aspects can be altered by experience across different periods of the lifespan.

Selected publications

AV Lebedev, M Kaelen, M Lövdén, J Nilsson, A Feilding, DJ Nutt, RL Carhart-Harris (2016). LSD-induced entropic brain activity predicts subsequent personality change. Human Brain Mapping

AV Lebedev, M Lövdén, G Rosenthal, A Feilding, DJ Nutt, RL Carhart‐Harris (2015). Finding the self by losing the self: Neural correlates of ego-dissolution under psilocybin. Human Brain Mapping

AV Lebedev, E Westman, GJP Van Westen, MG Kramberger, A Lundervold, D Aarsland, H Soininen, I Kłoszewska, P Mecocci, M Tsolaki, B Vellas, S Lovestone, A Simmons (2014). Random Forest ensembles for detection and prediction of Alzheimer’s disease with a good between-cohort robustness. NeuroImage: Clinical

JB Pereira, P Svenningsson, D Weintraub, K Brønnick, A Lebedev, E Westman, D Aarsland (2014). Initial cognitive decline is associated with cortical thinning in early Parkinson disease. Neurology

AV Lebedev, E Westman, MK Beyer, MG Kramberger, C Aguilar, Z Pirtosek, D Aarsland (2013). Multivariate classification of patients with Alzheimer’s and dementia with Lewy bodies using high-dimensional cortical thickness measurements: an MRI surface-based morphometric study. Journal of neurology

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