Data-driven analyses of motor impairments in animal models of neurological disorders
Fig 6
Quantifying changes in individual movement components during stroke recovery using the internal network representation.
(A) Representation of video frames in the internal feature space of the network, as in Fig 4A, but with added points from day 15 after stroke (light blue). Note that points on day 15 shift toward prestroke (dark blue) values, indicating movement recovery. (B) Ellipses outlining the distribution of points before stroke and for all filming days after stroke. Note the gradual shift of the poststroke distributions toward prestroke space. Dashed ellipses illustrate sample subclusters representing single movement components. (Ba and Bb) Probability of points falling within a given subcluster across days. For example, the high red bar in Ba shows that this movement component was mostly present on day 1 poststroke. The sample network and data on which this figure is based are available at github.com/hardeepsryait/behaviour_net. Movement comp. prob., movement component probability; PC, principal component.