Stroke is a leading cause of death and long-term severe disability in adults worldwide. The Box and Block Test (BBT) is widely employed as a clinical scale to assess the resulting motor impairment. However, the study of such a complex task should not neglect the functional interactions between the central and the peripheral nervous systems. This is the first study where Cortico-Muscular Coherence is used to characterize the BBT. We investigated the EEG and EMG data from fourteen healthy subjects and eleven post-stroke patients. Our results reveal novel insights into the physiological execution of the different motor task phases and the stroke-related alterations, in terms of qualitative brain-muscle connections and quantitative EEG degree index derived from Graph Theory.
A Cortico-Muscular Coherence Approach to the Characterization of the Box and Block Test in Physiological and Stroke Conditions / Savina, G., Colamarino, E., Pichiorri, F., Caracci, V., Palermo, E., Cincotti, F., Mattia, D., Toppi, J.. - (2026). (48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2026) Toronto, Canada ).
A Cortico-Muscular Coherence Approach to the Characterization of the Box and Block Test in Physiological and Stroke Conditions
Savina, Giulia
Primo
;Colamarino, Emma;Caracci, Valentina;Palermo, Eduardo;Cincotti, Febo;Toppi, JleniaUltimo
2026
Abstract
Stroke is a leading cause of death and long-term severe disability in adults worldwide. The Box and Block Test (BBT) is widely employed as a clinical scale to assess the resulting motor impairment. However, the study of such a complex task should not neglect the functional interactions between the central and the peripheral nervous systems. This is the first study where Cortico-Muscular Coherence is used to characterize the BBT. We investigated the EEG and EMG data from fourteen healthy subjects and eleven post-stroke patients. Our results reveal novel insights into the physiological execution of the different motor task phases and the stroke-related alterations, in terms of qualitative brain-muscle connections and quantitative EEG degree index derived from Graph Theory.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


