Parkinson's disease; dopamine; magnetic resonance imaging; neuroanatomy; neural activity; basal ganglia; biomarker
Accolla E.A., Aust S., Merkl A., Schneider G.-H., Kühn A.A., Bajbouj M., Draganski B. (2016), Deep brain stimulation of the posterior gyrus rectus region for treatment resistant depression, in
Journal of Affective Disorders, 194, 33-37.
D'Angelo Debra, Lebon Sebastien, Chen Qixuan, Martin-Brevet Sandra, Snyder LeeAnne Green, Hippolyte Loyse, Hanson Ellen, Maillard Anne M., Faucett W. Andrew, Mace Aurelien, Pain Aurelie, Bernier Raphael, Chawner Samuel J. R. A., David Albert, Andrieux Joris, Aylward Elizabeth, Baujat Genevieve, Caldeira Ines, Conus Philippe, Ferrari Carrina, Forzano Francesca, Gerard Marion, Goin-Kochel Robin P., Grant Ellen, Hunter Jill V. (2016), Defining the Effect of the 16p11.2 Duplication on Cognition, Behavior, and Medical Comorbidities, in
JAMA PSYCHIATRY, 73(1), 20-30.
Novak M.J.U., Seunarine K.K., Gibbard C.R., Mccolgan P., Draganski B., Friston K., Clark C.A., Tabrizi S.J. (2015), Basal ganglia-cortical structural connectivity in Huntington's disease, in
Human Brain Mapping, 36(5), 1728-1740.
Draganski Bogdan (2015), Computer-based analysis of brain images: how close are we to clinical applications?, in
CURRENT OPINION IN NEUROLOGY, 28(4), 311-312.
Chavan Camille F., Mouthon Michael, Draganski Bogdan, van der Zwaag Wietske, Spierer Lucas (2015), Differential patterns of functional and structural plasticity within and between inferior frontal gyri support training-induced improvements in inhibitory control proficiency, in
HUMAN BRAIN MAPPING, 36(7), 2527-2543.
Chavan C., Mouthon M., Simonet M., Hoogewoud H.-M., Draganski B., van der Zwaag W., Spierer L. (2015), Sustained enhancements in inhibitory control depend primarily on the reinforcement of fronto-basal anatomical connectivity, in
Brain Structure and Function, 1-9.
Maillard A. M., Ruef A., Pizzagalli F., Migliavacca E., Hippolyte L., Adaszewski S., Dukart J., Ferrari C., Conus P., Maennik K., Zazhytska M., Siffredi V., Maeder P., Kutalik Z., Kherif F., Hadjikhani N., Beckmann J. S., Reymond A., Draganski B., Jacquemont S. (2015), The 16p11.2 locus modulates brain structures common to autism, schizophrenia and obesity, in
MOLECULAR PSYCHIATRY, 20(1), 140-147.
Modenato C., Draganski B. (2015), The concept of schizotypy - A computational anatomy perspective, in
Schizophrenia Research: Cognition, 2(2), 89-92.
Hippolyte L., Maillard A.M., Rodriguez-Herreros B., Pain A., Martin-Brevet S., Ferrari C., Conus P., Mac{é} A., Hadjikhani N., Metspalu A., Reigo A., Kolk A., Männik K., Barker M., Isidor B., Le Caignec C., Mignot C., Schneider L., Mottron L., Keren B., David A., Doco-Fenzy M., G{é}rard M., Bernier R., Goin-Kochel R.P. (2015), The Number of Genomic Copies at the 16p11.2 Locus Modulates Language, Verbal Memory, and Inhibition, in
Biological Psychiatry, 917.
Draganski B, Kherif F., Lutti A. (2014), Computational anatomy for studying use-dependant brain plasticity, in
Front Hum Neurosci, 8, 380.
Dukart Juergen, Regen Francesca, Kherif Ferath, Colla Michael, Bajbouj Malek, Heuser Isabella, Frackowiak Richard S, Draganski Bogdan (2014), Electroconvulsive therapy-induced brain plasticity determines therapeutic outcome in mood disorders., in
Proceedings of the National Academy of Sciences of the United States of America, 111(3), 1156-61.
Marchewka Artur, Kherif Ferath, Krueger Gunnar, Grabowska Anna, Frackowiak Richard, Draganski Bogdan, Alzheimer's Disease Neuroimaging Initiative (2014), Influence of magnetic field strength and image registration strategy on voxel-based morphometry in a study of Alzheimer's disease., in
Human brain mapping, 35(5), 1865-74.
Hippolyte Loyse, Battistella Giovanni, Perrin Aline G, Fornari Eleonora, Cornish Kim M, Beckmann Jacques S, Niederhauser Julien, Vingerhoets François J G, Draganski Bogdan, Maeder Philippe, Jacquemont Sébastien (2014), Investigation of memory, executive functions, and anatomic correlates in asymptomatic FMR1 premutation carriers., in
Neurobiology of aging, 1939.
Sehm Bernhard, Taubert Marco, Conde Virginia, Weise David, Classen Joseph, Dukart Juergen, Draganski Bogdan, Villringer Arno, Ragert Patrick (2014), Structural brain plasticity in Parkinson's disease induced by balance training., in
Neurobiology of aging, 35(1), 232-9.
Callaghan Martina F, Freund Patrick, Draganski Bogdan, Anderson Elaine, Cappelletti Marinella, Chowdhury Rumana, Diedrichsen Joern, Fitzgerald Thomas H B, Smittenaar Peter, Helms Gunther, Lutti Antoine, Weiskopf Nikolaus (2014), Widespread age-related differences in the human brain microstructure revealed by quantitative magnetic resonance imaging., in
Neurobiology of aging, 1862-1872.
Lambert Christian, Chowdhury Rumana, Fitzgerald Thomas H B, Fleming Stephen M, Lutti Antoine, Hutton Chloe, Draganski Bogdan, Frackowiak Richard, Ashburner John (2013), Characterizing aging in the human brainstem using quantitative multimodal MRI analysis., in
Frontiers in human neuroscience, 7, 462-462.
Adaszewski Stanisław, Dukart Juergen, Kherif Ferath, Frackowiak Richard, Draganski Bogdan, Alzheimer's Disease Neuroimaging Initiative (2013), How early can we predict Alzheimer's disease using computational anatomy?, in
Neurobiology of aging, 34(12), 2815-26.
Draganski Bogdan, Lutti Antoine, Kherif Ferath (2013), Impact of brain aging and neurodegeneration on cognition: evidence from MRI., in
Current opinion in neurology, 26(6), 640-5.
Draganski Bogdan, Kherif Ferath (2013), In vivo assessment of use-dependent brain plasticity--beyond the "one trick pony" imaging strategy., in
NeuroImage, 73, 255.
Dukart Juergen, Mueller Karsten, Villringer Arno, Kherif Ferath, Draganski Bogdan, Frackowiak Richard, Schroeter Matthias L, Alzheimer's Disease Neuroimaging Initiative (2013), Relationship between imaging biomarkers, age, progression and symptom severity in Alzheimer's disease., in
NeuroImage. Clinical, 3, 84-94.
Accolla Ettore A, Dukart Juergen, Helms Gunther, Weiskopf Nikolaus, Kherif Ferath, Lutti Antoine, Chowdhury Rumana, Hetzer Stefan, Haynes John-Dylan, Kühn Andrea A, Draganski Bogdan, Brain tissue properties differentiate between motor and limbic basal ganglia circuits., in
Human brain mapping.
Lorio S, Lutti A, Kherif F, Ruef A, Dukart J, Chowdhury R, Frackowiak R, Ashburner J, Helms G, Weiskopf N, Draganski B, Disentangling in vivo the effects of iron content and atrophy on the ageing human brain, in
Neuroimage, (103C), 280-289.
General backgroundParkinson’s disease, acknowledged as the second most common neurodegenerative disorder after Alzheimer’s disease, has a progressive debilitating course featuring motor and non-motor symptoms affecting severely the patients’ quality of life. The fact that neuronal damage begins 5-10 years before occurrence of motor symptoms underscores the importance of preclinical diagnosis for potential neuroprotective treatments. Previous research focused mainly on motor symptoms, however with further sophistication of pharmacological and neurosurgical treatment this concept was challenged by the predominance of cognitive and motivational/emotional dysfunction. Progressive loss of functional segregation within limbic, associative and sensorimotor cortico-basal ganglia circuits offers a unified model of idiopathic Parkinson’s disease (IPD) as clinicopathological entity, which can be used as biomarker of preclinical diagnosis and prediction of clinical outcome.Specific AimsIn this project, we will use in vivo magnetic resonance imaging (MRI) and clinical/behavioural assessment to investigate the interaction between anatomical characteristics and neural activity in limbic, cognitive and sensorimotor basal ganglia-cortex circuits in healthy subjects and IPD patients. The aims of the proposed project are:i.Describe in detail the topography of basal ganglia subregions, corresponding to nodes in specific limbic, associative and sensorimotor cortico-subcortical circuits.ii.Study the interaction between topography characteristics and neural activity in distinct nodes of the cortico-subcortical circuits.iii.Establish the detailed anatomical/functional inferences of cortex-basal ganglia circuitry as biomarkers for early detection and clinical outcome prognosis in IPD.MethodsA key aspect is the proposed well-balanced mixture of established and novel methods for MRI data acquisition, processing and analysis to overcome the limitations of previous work in the field. We build on novel approaches taking advantage of:i.Relaxometry-based quantitative structural MR imaging techniques that we developed for segmentation of the iron-rich basal ganglia, which were previously not detectable in standard T1-weighted MR sequences. ii.Extension of the probabilistic diffusion tractography-based model of cortico-subcortical circuitry we established for studying the topography of basal ganglia circuits with the structures reliably delineated in the previous step - subthalamic nucleus, substantia nigra, hippocampus and amygdala. iii.Coupling the anatomical topography data with neural activity estimation by fMRI using a novel multivariate Bayesian method, to relate structural and functional features of the basal ganglia.Working hypothesisThe hypothesis for the proposed experiment is that IPD will be associated with loss of functional and/or structural segregation within cortico-subcortical loops. Additionally, we hypothesize that the degree of disease progression in IPD patients will have a differential impact on the functional and structural segregation within limbic and associative circuits. By using advanced methods of image analysis, we aim to provide information that will directly impact clinical investigation, therapeutic monitoring and could help in unravelling pathophysiological aspects of other basal ganglia related disorders.