Aims: Awake Surgery with Intraoperative Myography for Safety

il y a 6 heures

Brest, France LaTIM INSERM UMR1101 Temps plein

**AIMS: Awake surgery with Intraoperative Myography for Safety**:

- Réf **ABG-131441**
- Sujet de Thèse
- 25/04/2025
- Contrat doctoral
- LaTIM INSERM UMR1101
- Lieu de travail- Brest - Bretagne - France
- Intitulé du sujet- AIMS: Awake surgery with Intraoperative Myography for Safety
- Champs scientifiques- Science de la donnée (stockage, sécurité, mesure, analyse)
- Psychologie, neurosciences
- Mots clés- Brain Awake Surgery ; electrophysiological data ; Signal processing ; Classification ; Artificial Intelligence

**Description du sujet**:
**Context**

**Working hypothesis and aims**
- The physiological and neurofunctional responses following brain stimulation are still poorly understood today. As part of this project, we want to better study these effects via a multimodal analysis of various measurements acquired during the intervention and following stimulation in the context of awake surgery, in particular Electrophysiological data such as spontaneous EMG and motor evoked potentials (MEPs). Though widely used in other neurosurgical procedures, they remain underutilized in awake surgery even though they offer promising new perspectives for a more precise and early analysis of the patient’s responses. Our goal is to optimize the mapping and therefore the resection of the tumor thanks to a better understanding of these motor responses. As part of this project, we therefore want to acquire intraoperative data related to motor functions and develop new methodologies allowing the automatic detection of motor-based intraoperative neurological disorders.

**Main milestone of the thesis**
- The doctoral thesis will therefore be divided into two main tasks: (1) the collection and structuring of electrophysiological data with also other data already acquired through the use of a solution already developed as part of a previous thesis [1], and (2) the development and validation of an algorithm based on these data to analyse and extract EMG and MEP features allowing the early identification of motor disorders. Multimodal approaches will be investigated in order to potentially identify new correlations between acquired data and to highlight new early neurofunctional and physiological signs.
- [1] Maoudj, I., Garraud, C., Panheleux, C., Saliou, V., Seizeur, R., & Dardenne, G. (2023, July). A modular system for the synchronized multimodal data acquisition during Awake Surgery: towards the emergence of a dedicated clinical database. In _2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)_ (pp. 1-4). IEEE.
- [2] Maoudj, I., Kuwano, A., Panheleux, C., Kubota, Y., Kawamata, T., Muragaki, Y.,... & Dardenne, G. (2024). Classification of Speech Arrests and Speech Impairments during Awake Craniotomy: a multi-databases analysis. _International Journal of Computer Assisted Radiology and Surgery_, 1-8.

**Prise de fonction**:

- 01/10/2025

**Nature du financement**:

- Contrat doctoral

**Précisions sur le financement**:
**Présentation établissement et labo d'accueil**:

- LaTIM INSERM UMR1101

**Intitulé du doctorat**:

- Doctorat en Sciences

**Pays d'obtention du doctorat**:

- France

**Etablissement délivrant le doctorat**:

- Université de Bretagne Occidentale (UBO)

**Ecole doctorale**:

- Biologie santé- 31/05/2025

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