Cortical propagation tracks functional recovery after stroke

Year: 2021

Authors: Cecchini G.; Scaglione A.; Mascaro A.L.A.; Checcucci C.; Conti E.; Adam I.; Fanelli D.; Livi R.; Pavone F.S.; Kreuz T.

Autors Affiliation: Univ Barcelona, Dept Math & Comp Sci, Barcelona, Spain; Univ Florence, Dept Phys & Astron, Sesto Fiorentino, Italy; Univ Florence, CSDC, Sesto Fiorentino, Italy; Univ Florence, European Lab Nonlinear Spect, Sesto Fiorentino, Italy; CNR, Neurosci Inst, Pisa, Italy; Univ Florence, Dept Informat Engn, Sesto Fiorentino, Italy; INFN, Florence Sect, Sesto Fiorentino, Italy; Natl Res Council CNR, Natl Inst Opt INO, Sesto Fiorentino, Italy; Natl Res Council CNR, Inst Complex Syst ISC, Sesto Fiorentino, Italy.

Abstract: Stroke is a debilitating condition affecting millions of people worldwide. The development of improved rehabilitation therapies rests on finding biomarkers suitable for tracking functional damage and recovery. To achieve this goal, we perform a spatiotemporal analysis of cortical activity obtained by wide-field calcium images in mice before and after stroke. We compare spontaneous recovery with three different post-stroke rehabilitation paradigms, motor training alone, pharmacological contralesional inactivation and both combined. We identify three novel indicators that are able to track how movement-evoked global activation patterns are impaired by stroke and evolve during rehabilitation: the duration, the smoothness, and the angle of individual propagation events. Results show that, compared to pre-stroke conditions, propagation of cortical activity in the subacute phase right after stroke is slowed down and more irregular. When comparing rehabilitation paradigms, we find that mice treated with both motor training and pharmacological intervention, the only group associated with generalized recovery, manifest new propagation patterns, that are even faster and smoother than before the stroke. In conclusion, our new spatiotemporal propagation indicators could represent promising biomarkers that are able to uncover neural correlates not only of motor deficits caused by stroke but also of functional recovery during rehabilitation. In turn, these insights could pave the way towards more targeted post-stroke therapies.

Journal/Review: PLOS COMPUTATIONAL BIOLOGY

Volume: 17 (5)      Pages from: e1008963-1  to: e1008963-23

More Information: Funding agency H2020 EXCELLENT SCIENCE -European Research Council (ERC) (grant number692943) European Union?s Horizon 2020 Research and Innovation Programme(grant number 785907)
KeyWords: TARGETED STROKEMICE REVEALSCORTEXCONNECTIVITYDYNAMICSREORGANIZATIONCIRCUITSDAMAGEWAVESMAPS
DOI: 10.1371/journal.pcbi.1008963

Citations: 7
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