BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Bordeaux Neurocampus - ECPv4.9.10//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Bordeaux Neurocampus X-ORIGINAL-URL:https://www.bordeaux-neurocampus.fr/en/ X-WR-CALDESC:Events for Bordeaux Neurocampus BEGIN:VTIMEZONE TZID:Europe/Paris BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20250330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20251026T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20251010T100000 DTEND;TZID=Europe/Paris:20251010T100000 DTSTAMP:20260406T151311 CREATED:20250922T184757Z LAST-MODIFIED:20251003T183515Z UID:188162-1760090400-1760090400@www.bordeaux-neurocampus.fr SUMMARY:Thesis defense - Elise Grevet DESCRIPTION:Venue: BBS \nAnd on zoom : https://u-bordeaux-fr.zoom.us/j/7838516638?omn=89044241474 \n\nElise Grevet\nTeam Mococo – Incia \nTitle\nImproving the acceptability to enhance the efficiency of stroke rehabilitation procedures based on brain-computer interfaces \nSummary\nOver the past thirty years\, the global incidence of stroke has risen by 70%\, making post-stroke motor rehabilitation a pressing public health priority. In this context\, motor imagery (MI)\, the mental simulation of movement\, combined with sensory feedback (e.g.\, limb mobilisation) is frequently employed in rehabilitation to “close the sensorimotor loop.” Its therapeutic value lies in the activation of neural circuits that closely overlap with those involved in actual movement execution\, thereby fostering neuroplasticity and promoting functional recovery. However\, a major limitation of current approaches is the lack of synchronisation between the MI generated by the patient and the physical mobilisation delivered by the therapist. Brain-computer interfaces (BCIs)\, which analyse brain activity in real time to detect MI\, allow for precise temporal coupling with sensory feedback. As such\, they represent a promising technology to address this limitation. Yet despite their recognised potential\, BCIs remain marginal in clinical use\, largely due to limited ergonomic development. Even a technically optimal BCI is of little value if patients and clinicians are unable or unwilling to use it\, in other words\, if it is not accepted. We hypothesise\, first\, that personalising BCI protocols based on individual acceptability factors could reduce patient anxiety\, enhance engagement\, facilitate learning\, and ultimately improve motor recovery. Second\, the patient’s social environment\, including the attitudes\, perceptions\, and behaviours of relatives and health professionals\, may also influence acceptability\, and by extension\, the clinical efficacy of BCIs. To test these hypotheses\, our research is structured around three main objectives: \n\nTo model the determinants of BCI acceptability across patients\, health professionals\, and the general public;\nTo personalise BCI rehabilitation protocols for patients\, and to evaluate this personalisation in terms of (i) acceptability and (ii) motor recovery outcomes;\nTo develop awareness-raising initiatives aimed at improving BCI acceptability among the general public and health professionals\, and by extension\, among all stakeholders likely to encounter these technologies.\n\nUnder Objective 1\, we developed the first theoretical model of BCI acceptability in post-stroke rehabilitation\, along with an associated questionnaire\, both made publicly available (https://bci-acceptability-tool.cnrs.fr/). The questionnaire was administered to the general public (N = 753) and to post-stroke patients (N = 140). In parallel\, semi-structured interviews were conducted with 12 patients and 12 health professionals. These data informed: (i) the levers for personalising BCI protocols (Objective 2); and (ii) the priority content areas for communication materials (Objective 3). Clustering methods combined with regression analyses were used to identify distinct patient profiles based on acceptability factors (Objective 2). These findings led to the development of automatised personalisation strategies\, embedded in a “Plug & Play” software solution designed for ease of clinical deployment. This system enabled the launch of a multicentre randomised controlled trial\, currently underway\, involving 52 subacute patients (across the Toulouse\, Bordeaux\, and Montauban university hospitals)\, each undergoing 15 training sessions. The aim is to compare the efficacy and acceptability of personalised versus standard BCI protocols. Finally\, in support of objective 3\, a digital exhibition is being developed in partnership with the “Science with and for Society” programme at the University of Bordeaux. This initiative seeks to demystify BCIs and foster their acceptability among the general public\, patients\, their families\, and healthcare providers. \nKeywords: Neurofeedback; Brain-computer interface; Acceptability; Motor rehabilitation; Electroencephalography \nPublications\nGrevet\, E.\, Forge\, K.\, Tadiello\, S.\, Izac\, M.\, Amadieu\, F.\, Brunel\, L.\, Pillette\, L.\, Py\, J.\, Gasq\, D.\, & Jeunet-Kelway\, C. (2023). Modeling the acceptability of BCIs for motor rehabilitation after stroke: A large scale study on the general public. Frontiers in Neuroergonomics\, 3. https://www.frontiersin.org/articles/10.3389/fnrgo.2022.1082901