Fig. 4: Cortical microstructure molds neural oscillatory dynamics captured by MEG.
From: Mapping the microstructure of human cerebral cortex in vivo with diffusion MRI
A Pearson Correlation coefficients between MEG power distributions for the delta (2–4 Hz), theta (5–7 Hz), alpha (8–12 Hz), beta (15–29 Hz), low gamma (30–59 Hz) and high gamma (60–90 Hz) frequency bands and intrinsic timescale and structural metrics. B Dominance analysis shows the relative contribution of each variable to a linear model. The DKI diffusivities and DKI-FA, specifically for the beta frequency band, played the largest roles in MEG Power and timescale prediction. Each prediction was statistically significant: delta \((r=0.92,{p}=0.0002)\), theta \((r=0.81,{p}=0.003)\), alpha \((r=0.90,{p}=0.0003)\), beta \((r=0.79,{p}=0.007)\), low gamma \((r=0.87,{p}=0.0002)\), high gamma \((r=0.88,{p}=0.0002)\).
