Extended Data Fig. 1: Intrinsic properties of pyramidal neurons in high- and low-grade glioma. | Nature Neuroscience

Extended Data Fig. 1: Intrinsic properties of pyramidal neurons in high- and low-grade glioma.

From: Increased neural excitability and glioma synaptic activity drives glioma proliferation in human cortex

Extended Data Fig. 1

a, Principal component analysis (PCA) was used for dimension reduction to visualize the collective differences in the biophysical properties of pyramidal neurons from different glioma grades. b-k, Comparison between the properties of pyramidal neurons recorded in high- (blue; n = 104 neurons) and low-grade (green; n = 50 neurons) glioma for (b) Action potential threshold (p = 0.001), (c) Membrane resistance (p = 0.008), (d) Inter-spike interval (p = 0.037), (e) Resting Membrane Potential (RMP; p = 0.602), (f) Total number of action potentials (p = 0.146), (g) Voltage sag (p = 0.217), (h) Action potential rise-time (p = 0.329), (i) Adaptation ratio (p = 0.656), (j) Action potential half-width (p = 0.187) and (k) Action potential delay (p = 0.126). Mean values are represented as bold lines. All data were analyzed using a linear mixed-effect model. ns, p > 0.05; *, p < 0.05; **, p < 0.001.

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