Dynamic gradient. (A) the distribution of allegiance in real data and the static null model; (B) the flexibility of networks; (C) the recruitment of networks. CCN, cognitive control network; DAN, dorsal attention network; DMN, default mode network; HC, healthy controls; LIM, Limbic system; SAN, salience network; SMC, somatomotor cortex; TLE, temporal lobe epilepsy; VIS, visual cortex; *, p < 0.05.

Dynamic gradient. (A) the distribution of allegiance in real data and the static null model; (B) the flexibility of networks; (C) the recruitment of networks. CCN, cognitive control network; DAN, dorsal attention network; DMN, default mode network; HC, healthy controls; LIM, Limbic system; SAN, salience network; SMC, somatomotor cortex; TLE, temporal lobe epilepsy; VIS, visual cortex; *, p < 0.05.

Source publication
Article
Full-text available
Aims The gradient captures the continuous transitions in connectivity, representing an intrinsic hierarchical architecture of the brain. Previous works hinted at the dynamics of the gradient but did not verify them. Cognitive impairment is a common comorbidity of temporal lobe epilepsy (TLE). Gradient techniques provide a framework that could promo...