Patient-specific modeling for guided rehabilitation of stroke patients: the BrainX3 use-case.
BrainX3
automatic lesion identification
stroke
transcranial ultrasound stimulation
whole-brain models
Journal
Frontiers in neurology
ISSN: 1664-2295
Titre abrégé: Front Neurol
Pays: Switzerland
ID NLM: 101546899
Informations de publication
Date de publication:
2023
2023
Historique:
received:
22
08
2023
accepted:
06
11
2023
medline:
15
12
2023
pubmed:
15
12
2023
entrez:
15
12
2023
Statut:
epublish
Résumé
BrainX3 is an interactive neuroinformatics platform that has been thoughtfully designed to support neuroscientists and clinicians with the visualization, analysis, and simulation of human neuroimaging, electrophysiological data, and brain models. The platform is intended to facilitate research and clinical use cases, with a focus on personalized medicine diagnostics, prognostics, and intervention decisions. BrainX3 is designed to provide an intuitive user experience and is equipped to handle different data types and 3D visualizations. To enhance patient-based analysis, and in keeping with the principles of personalized medicine, we propose a framework that can assist clinicians in identifying lesions and making patient-specific intervention decisions. To this end, we are developing an AI-based model for lesion identification, along with a mapping of tract information. By leveraging the patient's lesion information, we can gain valuable insights into the structural damage caused by the lesion. Furthermore, constraining whole-brain models with patient-specific disconnection masks can allow for the detection of mesoscale excitatory-inhibitory imbalances that cause disruptions in macroscale network properties. Finally, such information has the potential to guide neuromodulation approaches, assisting in the choice of candidate targets for stimulation techniques such as Transcranial Ultrasound Stimulation (TUS), which modulate E-I balance, potentiating cortical reorganization and the restoration of the dynamics and functionality disrupted due to the lesion.
Identifiants
pubmed: 38099071
doi: 10.3389/fneur.2023.1279875
pmc: PMC10719856
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1279875Informations de copyright
Copyright © 2023 Sharma, Páscoa dos Santos and Verschure.
Déclaration de conflit d'intérêts
FP is employed by the company Eodyne Systems S.L. PV is founder and shareholder of Eodyne Systems S.L., which aims at bringing scientifically validated neurorehabilitation and education technology to society. The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.