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Specificity in Cognitive Neuroimaging: Pushing the Envelope in Meta-Analyses by Harnesing Rich Probabilistic Logical Models

From 10/24/2022 to 10/24/2022
webinar

Demian WASSERMANn, Inria, NeuroSpin, Paris has given a talk on Zoom on October 24th.

https://pages.saclay.inria.fr/demian.wassermann/

Short abstract:

Which neuroimaging-based cognitive hypotheses have made it to theses? Is there latent knowledge in the neuroimaging community that can be inferred from  current literature? This question can be answered through meta-analytic studies. That is, studies which mine and infer knowledge from literature. Nonetheless, the expressivity of current tools to perform literature-based analyses is limited. One cannot ask, soundly, whether agreement in the literature links specifically a cognitive function with  cortical regions or networks. In this talk, I will introduce a set of new methodologies to infer knowledge from meta-analytic databases, NeuroLang. Neurolang, infers, through controlled human discourse, probabilistic knowledge from neuroimaging literature, structured human knowledge represented as ontologies, and neuroimaging data. I will introduce the formalism, its complexities and possibilities and how we have harnessed it’s power to shed novel light into the organisation of the lateral prefrontal cortex, its specificity and lateralization. Furthermore, I will speak about on-going extensions leading to ease the implementation and inference of individualised models in neuroimaging.

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