Morel, Pierre

[["dc.bibliographiccitation.artnumber","e726"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","HemaSphere"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Dreyling, Martin"],["dc.contributor.author","André, Marc"],["dc.contributor.author","Gökbuget, Nicola"],["dc.contributor.author","Tilly, Hervé"],["dc.contributor.author","Jerkeman, Mats"],["dc.contributor.author","Gribben, John"],["dc.contributor.author","Ferreri, Andrés"],["dc.contributor.author","Morel, Pierre"],["dc.contributor.author","Stilgenbauer, Stephan"],["dc.contributor.author","Fox, Christopher"],["dc.contributor.author","Salles, Gilles"],["dc.date.accessioned","2022-06-01T09:39:24Z"],["dc.date.available","2022-06-01T09:39:24Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.1097/HS9.0000000000000726"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108465"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-572"],["dc.relation.eissn","2572-9241"],["dc.title","The EHA Research Roadmap: Malignant Lymphoid Diseases"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Ferrea, E."],["dc.contributor.author","Franke, J."],["dc.contributor.author","Morel, P."],["dc.contributor.author","Gail, A."],["dc.date.accessioned","2022-07-01T07:34:52Z"],["dc.date.available","2022-07-01T07:34:52Z"],["dc.date.issued","2022"],["dc.description.abstract","Abstract Neurorehabilitation in patients suffering from motor deficits relies on relearning or re-adapting motor skills. Yet our understanding of motor learning is based mostly on results from one or two-dimensional experimental paradigms with highly confined movements. Since everyday movements are conducted in three-dimensional space, it is important to further our understanding about the effect that gravitational forces or perceptual anisotropy might or might not have on motor learning along all different dimensions relative to the body. Here we test how well existing concepts of motor learning generalize to movements in 3D. We ask how a subject’s variability in movement planning and sensory perception influences motor adaptation along three different body axes. To extract variability and relate it to adaptation rate, we employed a novel hierarchical two-state space model using Bayesian modeling via Hamiltonian Monte Carlo procedures. Our results show that differences in adaptation rate occur between the coronal, sagittal and horizontal planes and can be explained by the Kalman gain, i.e., a statistically optimal solution integrating planning and sensory information weighted by the inverse of their variability. This indicates that optimal integration theory for error correction holds for 3D movements and explains adaptation rate variation between movements in different planes."],["dc.description.sponsorship"," Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659"],["dc.description.sponsorship","Federal Ministry for Education and Research, Germany"],["dc.description.sponsorship","Deutsches Primatenzentrum GmbH - Leibniz-Institut für Primatenforschung"],["dc.identifier.doi","10.1038/s41598-022-13866-y"],["dc.identifier.pii","13866"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/112030"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-581"],["dc.relation.eissn","2045-2322"],["dc.relation.haserratum","/handle/2/113626"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Statistical determinants of visuomotor adaptation along different dimensions during naturalistic 3D reaches"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Ferrea, E."],["dc.contributor.author","Franke, J."],["dc.contributor.author","Morel, P."],["dc.contributor.author","Gail, A."],["dc.date.accessioned","2022-09-01T09:50:07Z"],["dc.date.available","2022-09-01T09:50:07Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.1038/s41598-022-16148-9"],["dc.identifier.pii","16148"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/113626"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-597"],["dc.relation.eissn","2045-2322"],["dc.relation.iserratumof","/handle/2/112030"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Author Correction: Statistical determinants of visuomotor adaptation along different dimensions during naturalistic 3D reaches"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","erratum_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","bhu312"],["dc.bibliographiccitation.firstpage","731"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Cerebral Cortex"],["dc.bibliographiccitation.lastpage","741"],["dc.bibliographiccitation.volume","26"],["dc.contributor.author","Kuang, Shenbing"],["dc.contributor.author","Morel, Pierre"],["dc.contributor.author","Gail, Alexander"],["dc.date.accessioned","2017-09-07T11:47:44Z"],["dc.date.available","2017-09-07T11:47:44Z"],["dc.date.issued","2015"],["dc.description.abstract","Neurons in the posterior parietal cortex respond selectively for spatial parameters of planned goal-directed movements. Yet, it is still unclear which aspects of the movement the neurons encode: the spatial parameters of the upcoming physical movement (physical goal), or the upcoming visual limb movement (visual goal). To test this, we recorded neuronal activity from the parietal reach region while monkeys planned reaches under either normal or prism-reversed viewing conditions. We found predominant encoding of physical goals while fewer neurons were selective for visual goals during planning. In contrast, local field potentials recorded in the same brain region exhibited predominant visual goal encoding, similar to previous imaging data from humans. The visual goal encoding in individual neurons was neither related to immediate visual input nor to visual memory, but to the future visual movement. Our finding suggests that action planning in parietal cortex is not exclusively a precursor of impending physical movements, as reflected by the predominant physical goal encoding, but also contains spatial kinematic parameters of upcoming visual movement, as reflected by co-existing visual goal encoding in neuronal spiking. The co-existence of visual and physical goals adds a complementary perspective to the current understanding of parietal spatial computations in primates."],["dc.identifier.doi","10.1093/cercor/bhu312"],["dc.identifier.gro","3150714"],["dc.identifier.pmid","25576535"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7501"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","1047-3211"],["dc.title","Planning Movements in Visual and Physical Space in Monkey Posterior Parietal Cortex"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]