CNSC-05. ELECTROPHYSIOLOGICAL PATTERNS OF GLIOMA-INDUCED NEURONAL NETWORK REMODELING ARE CONSERVED ACROSS TUMOR SUBTYPE
نویسندگان
چکیده
Abstract Recent evidence indicates that diffuse gliomas engage with neurons at the single-unit and circuit level through differing mechanisms. Certain malignant form glioma-neuron excitatory glutamatergic synapses modulate neuron-neuron activity-dependent paracrine signaling, while others establish glioma-glioma connections via tumor microtubes. It is therefore possible remodel neuronal circuits in a defined predictable manner demonstrate distinct electrophysiological profiles prognostic therapeutic significance. Here we apply machine learning principles 140 patients across glioma subtypes to uncover unique features non-invasively magnetoencephalography (discovery dataset) followed by feature validation using subdural electrocorticography (validation dataset). Following spatial-temporal registration, fit an elastic net logistic regression classifier distinguish between power spectra arising from glioma-remodeled cortex within-subject control conditions. Model significance was determined non-parametrically re-training each model 1,000 times randomly permuted class labels testing true phi coefficient against null distribution. In discovery dataset, were able classify infiltration based on intrinsic activity (p < 0.05) 127 (90.7%). We identified 30 which revealed increased delta range (1-4 Hz) decreased beta (12-20 as signature of remodeling preserved dataset well WHO 2021 subtypes. order identify gene expression programs signaling mechanisms may contribute glioma-induced but are potentially not current clinical classification scheme, assessed targeted, next generation sequencing DNA mutations covariates, again demonstrated delta-beta spectral features. These data support converging network subtypes, setting stage for novel therapies such neuromodulation.
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ژورنال
عنوان ژورنال: Neuro-oncology
سال: 2022
ISSN: ['1523-5866', '1522-8517']
DOI: https://doi.org/10.1093/neuonc/noac209.086