LREN Principal Investigator
Assistant Professor FBM, UNIL
phone: +41 21 314 9638
fax: +41 21 314 1256
Laboratoire de Recherche en Neuroimagerie - LREN
Departement des neurosciences cliniques
Centre Hospitalier Universitaire Vaudois (CHUV)
Mont Paisible 16
There is strong evidence that neural plasticity is an inherent property of the human brain; however the mechanisms underlying such plasticity remain obscure. My hypothesis is that plasticity in the human brain can be modulated by behavioural intervention both in health and disease. Consequently, behaviourally relevant intervention and recovery of impaired function, over time, will be associated with predictable changes in anatomical and functional measures of the brain. We use multi-parameter mapping to decompose the measured MR contrast to its main biological contributors – myelin, iron and water content, relate these to changes in behaviour and estimate the specific impact of brain tissue property changes on grey matter volume, density and cortical thickness.
We aim to establish a neurobiological explanation of neural plasticity mechanisms at the system level in order to understand how brain lesion patients’ functions recover. This will help clinicians to make (i) informed decisions as to which patients are most likely to benefit from which therapy approaches at which time point, and (ii) predictions about brain lesion patients’ recovery patterns and profiles.
Considering the promising results of diffusion weighted imaging (DWI) probabilistic tractography, our aim is to improve current techniques providing a more detailed picture of cortico-subcortical connectivity. The ultimate goal of our anatomical connectivity projects is the precise anatomical characterization of cortical and subcortical structures, which will help to optimise the accuracy of neurosurgery target planning and to predict clinical outcome in individuals undergoing deep brain stimulation (DBS).
Dukart J, Adaszewski S, Kherif F, Frackowiak RSF and Draganski B. How Early Can We Predict Alzheimer's Disease Using Computational Anatomy? Neurobiol Aging. 2013 Jul 25. doi:pii: S0197-4580(13)00270-4.
Marchewka A, Kherif F, Krueger G, Grabowska A, Frackowiak R, Draganski B; The Alzheimer's Disease Neuroimaging Initiative. Influence of magnetic field strength and image registration strategy on voxel-based morphometry in a study of Alzheimer's disease.Hum Brain Mapp. 2013 May 30. doi: 10.1002/hbm.22297
Dukart J, Kherif F, Mueller K, Adaszewski S, Schroeter ML, Frackowiak RS, Draganski B; Alzheimer's Disease Neuroimaging Initiative. Generative FDG-PET and MRI Model of Aging and Disease Progression in Alzheimer's Disease. PLoS Comput Biol. 2013 Apr;9(4)
Adam R, Leff A, Sinha N, Turner C, Bays P, Draganski B, Husain M, Tabrizi SJ. Dopamine reverses reward insensitivity in apathy following globus pallidus lesions. Cortex. 2012 May in press
Novak MJ, Warren JD, Henley SM, Draganski B, Frackowiak RS, Tabrizi SJ. Altered brain mechanisms of emotion processing in pre-manifest Huntington's disease. Brain. 2012 Apr;135(Pt 4):1165-79.
Draganski B, Ashburner J, Hutton C, Kherif F, Frackowiak RS, Helms G, Weiskopf N. Regional specificity of MRI contrast parameter changes in normal ageing revealed by voxel-based quantification (VBQ). Neuroimage, 2011 Apr 15;55(4):1423-34
Draganski B, Schneider SA, Fiorio M, Klöppel S, Gambarin M, Tinazzi M, Ashburner J, Bhatia KP, Frackowiak RS. Genotype-phenotype interactions in primary dystonias revealed by differential changes in brain structure. Neuroimage. 2009 Oct 1;47(4):1141-7
Helms G, Draganski B, Frackowiak R, Ashburner J, Weiskopf N Improved segmentation of deep brain grey matter structures using magnetization transfer (MT) parameter maps, Neuroimage. 2009 Aug 1;47(1):194-8.
Draganski B, Kherif F, Kloppel S, Cook PA, Deichmann R, Alexander DC, Parker GJM, Ashburner J, and Frackowiak, RSJ. Evidence for segregated and integrative connectivity patterns in the human basal ganglia, J Neurosci. 2008 Jul 9;28(28):7143-52
Pessiglione M, Schmidt L, Draganski B, Kalisch R, Lau H, Dolan RJ, et al. How the brain translates money into force: a neuroimaging study of subliminal motivation. Science 2007; 316: 904-6.
Draganski B, Gaser C, Kempermann G, Kuhn HG, Winkler J, Buchel C, et al. Temporal and spatial dynamics of brain structure changes during extensive learning. J Neurosci 2006; 26: 6314-7.
Draganski B, Gaser C, Busch V, Schuierer G, Bogdahn U, May A. Neuroplasticity: changes in grey matter induced by training. Nature 2004; 427: 311-2
DFG Klinische Forschergruppe (Germany): Deep Brain Stimulation – basic mechanisms, basal ganglia physiology - Institute of Neurology, Clinic for Movement Disorders, Charité, Humboldt-University, Berlin, Germany – PI Neuroimaging, CHF 300K for 3 years
Swiss National Science Foundation : Anatomical and functional segregation within cortico-subcortical circuits - project grant - CHF 375K for 3 years
Parkinson Switzerland: Anatomical and functional segregation within cortico-subcortical circuits in Parkinsons disease - CHF 120K for 3 years
Novartis Stiftung für Biologisch-Medizinische Forschung (Switzerland): Development of an imaging biomarker for idiopathic Parkinson's disease - project grant - CHF 60K
Swiss National Science Foundation - SPUM (Prof. Margitta Seeck - HUG): Imaging large scale network in epilepsy - project grant - CHF 400K for 3 years
Swiss National Science Foundation - Sinergia (Prof. Alexandre Reymond - CIG - UNIL): The 16p11.2 rearrangements: genetic paradigms for obesity and neurodevelopmental disorders - project grant - CHF 40K for 1 year
Synapsis Foundation : Development of a composite imaging/gait behaviour biomarker for early detection of cognitive impairment in ageing - project grant - CHF 150K for 3 years