Toward individualized medicine in stroke — The TiMeS project: Protocol of longitudinal, multi-modal, multi-domain study in stroke

Article Article scientifique Article Toward individualized medicine in stroke — The TiMeS project: Protocol of longitudinal, multi-modal, multi-domain study in stroke eng 2022-09-26 2022-09-26 author Fleury Lisa author Koch Philipp J. author Wessel Maximilian J. author Bonvin Christophe 0000-0002-9058-8105 680301 author San Millan Diego 98325 author Constantin Christophe 135592 author Vuadens Philippe author Adolphsen Jan author Cadic Melchior Andéol author Bruegger Julia 841684 author Beanato Elena author Ceroni Martino 754893 author Menoud Pauline author De Leon Rodriguez Diego 537439 author Zufferey Valérie 652934 author Meyer Nathalie H. author Egger Philippe Guillaume 56144 author Harquel Sylvain 0000-0001-8756-2230 author Popa Traian 0000-0003-1160-4830 417583 author Raffin Estelle 930869 author Girardet Etienne Gabriel 929718 author Thiran Jean-Philippe 0000-0003-2938-9657 author Vaney Claude author Alvarez Vincent 537874 author Turlan Jean-Luc author Mühl Andreas author Leger Bertrand 105619 author Morishita Takuya author Micera Silvestro 0000-0003-4396-8217 author Blanke Olaf 107390 Département des neurosciences cliniques (OTONO) author Van De Ville Dimitri 0000-0002-2879-3861 638484 Département de radiologie et informatique médicale (RADIO) author Hummel Friedhelm 868060 Département des neurosciences cliniques (OTONO) 939640 10.3389/fneur.2022.939640 36226086 1664-2295 PMC9549862 https://www.frontiersin.org/articles/10.3389/fneur.2022.939640/full <p>Despite recent improvements, complete motor recovery occurs in &lt;15% of stroke patients. To improve the therapeutic outcomes, there is a strong need to tailor treatments to each individual patient. However, there is a lack of knowledge concerning the precise neuronal mechanisms underlying the degree and course of motor recovery and its individual differences, especially in the view of brain network properties despite the fact that it became more and more clear that stroke is a network disorder. The TiMeS project is a longitudinal exploratory study aiming at characterizing stroke phenotypes of a large, representative stroke cohort through an extensive, multi-modal and multi-domain evaluation. The ultimate goal of the study is to identify prognostic biomarkers allowing to predict the individual degree and course of motor recovery and its underlying neuronal mechanisms paving the way for novel interventions and treatment stratification for the individual patients. A total of up to 100 patients will be assessed at 4 timepoints over the first year after the stroke: during the first (T1) and third (T2) week, then three (T3) and twelve (T4) months after stroke onset. To assess underlying mechanisms of recovery with a focus on network analyses and brain connectivity, we will apply synergistic state-of-the-art systems neuroscience methods including functional, diffusion, and structural magnetic resonance imaging (MRI), and electrophysiological evaluation based on transcranial magnetic stimulation (TMS) coupled with electroencephalography (EEG) and electromyography (EMG). In addition, an extensive, multi-domain neuropsychological evaluation will be performed at each timepoint, covering all sensorimotor and cognitive domains. This project will significantly add to the understanding of underlying mechanisms of motor recovery with a strong focus on the interactions between the motor and other cognitive domains and multimodal network analyses. The population-based, multi-dimensional dataset will serve as a basis to develop biomarkers to predict outcome and promote personalized stratification toward individually tailored treatment concepts using neuro-technologies, thus paving the way toward personalized precision medicine approaches in stroke rehabilitation.</p> Biomarkers Electroencephalography Neuroimaging Neurorehabilitation Precision medicine Recovery Stroke Transcranial magnetic stimulation Dewey 616.8 Dewey 616.0757 62 Département de radiologie et informatique médicale 227 61 Département des neurosciences cliniques 226 false 552 Traitement d'images médicales 893 426 BLANKE OLAF 699 Frontiers in neurology 13 02bbec1c-d308-4651-8502-691cda1cce8d Article (Published version) Public Article-scientifique-from-unpaywall.pdf 296602 application/pdf CC BY-4.0 fd29ea4fdf11f36eba7d20ffb2a10d012d0c1a54ad0bcc1728350f2bc50baa59 583af303-bb33-4174-a57e-22e2371b24e1 Supplemental data Public 6216815.zip 321096 application/zip af1742e33b27359b40898e4612fce80b50f4ddaa74122acf1b53978b71074b92 openAccess Faculté de médecine / Section de médecine clinique / Département de radiologie et informatique médicale Faculté de médecine / Section de médecine clinique / Département des neurosciences cliniques

Title	Published in	Year	Views	Downloads

Étude par imagerie du caillot dans l’AVC aigu: Revue de la littérature et expérience genevoise		2024	16	0
Toward individualized medicine in stroke — The TiMeS project: Protocol of longitudinal, multi-modal, multi-domain study in stroke	Frontiers in neurology	2022	97	214

Archive ouverte UNIGE

Girardet, Etienne Gabriel