Artificial intelligence for the intraoperative assessment of basic emotions during cognitive brain mapping in glioma surgery
DOI:
https://doi.org/10.59156/enk1wa84Keywords:
Artificial intelligence, Awake surgery, Cognitive mapping, GliomasAbstract
Background: social cognition, essential for human interaction, can be compromised in patients with gliomas, however, its intraoperative assessment has been limited. This study presents an artificial intelligence (AI)-based tool to assess the recognition of basic emotions during awake surgery, aiming to preserve key social functions.
Objectives: to develop and to report an innovative AI-based tool for assessing the recognition of basic emotions during intraoperative cognitive mapping.
Methods: an observational and descriptive study was conducted on a series of 5 patients with gliomas undergoing awake surgery. Images generated using DALL·E were used to represent 6 basic emotions (joy, sadness, fear, surprise, anger, disgust) at four intensity levels. After a selection process by the authors, a final set of 24 images was compiled. These were applied to 6 patients with gliomas, before and during awake surgery, comparing the results with the “Reading the Mind in the Eyes” test.
Results: despite variations in overall cognitive function, patients retained emotional capacity in 100% of cases.
Conclusion: integrating AI-based tools into intraoperative mapping enables a more precise assessment of social cognition. This strategy promotes more personalized neurosurgery, aimed at preserving not only instrumental functions but also those fundamental to the patient's social and emotional life. The AI tool allowed for highly sensitive evaluation of emotional recognition, and cognitive mapping adapted the resection without compromising areas linked to social cognition.
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