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The rehabilitation of motor deficits following stroke relies on both sensorimotor and cognitive abilities, thereby involving large-scale brain networks. However, few studies have investigated the integration between motor and cognitive domains, as well as its neuroanatomical basis. In this retrospective study, upper limb motor responsiveness to technology-based rehabilitation was examined in a sample of 29 stroke patients (18 with right and 11 with left brain damage). Pretreatment sensorimotor and attentional abilities were found to influence motor recovery. Training responsiveness increased as a function of the severity of motor deficits, whereas spared attentional abilities, especially visuospatial attention, supported motor improvements. Neuroanatomical analysis of structural lesions and white matter disconnections showed that the poststroke motor performance was associated with putamen, insula, corticospinal tract, and frontoparietal connectivity. Motor rehabilitation outcome was mainly associated with the superior longitudinal fasciculus and partial involvement of the corpus callosum. The latter findings support the hypothesis that motor recovery engages large-scale brain networks that involve cognitive abilities and provides insight into stroke rehabilitation strategies.

Background Health-related patient reported outcome measures are considered essential to determine the impact of disease on the life of individuals. Aim of this study is to culturally adapt the Italian version of the Shoulder Pain and Disability Index (SPADI). The secondary aim is to evaluate psychometric proprieties in patients with non-specific shoulder pain. Methods The current study is an analysis of a sample of 59 adult patients with non-specific shoulder pain. The SPADI was translated and cross-culturally adapted, and then psychometric properties were tested. Participants completed the Shoulder Pain and Disability Index-Italian (SPADI-I), 36-item short form health survey, the Oxford Shoulder Score, the Disability of Arm, Shoulder, and Hand scale and a pain intensity visual analogue scale. Results SPADI-I included two domains. Internal consistency analysis showed good values for total (α = 0.84) and subscales (α = 0.94 and α = 0.76). For construct validity, there was good correlation between the visual analogue scale, the Oxford Shoulder Score, the DASH and the SPADI-I total score and subscales. Standard error of measurement and minimally detectable change were calculated. Conclusions The SPADI-I was culturally adapted into Italian. SPADI-I is centred on pain and disability of the shoulder only and can be considered as a useful tool in daily clinical practice for assessing musculoskeletal non-specific shoulder pain because of its good internal consistency and validity. Further studies should focus on other psychometric proprieties such as test re-test reliability, responsiveness and clinical interpretability to improve the available clinimetrics of the tool.

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Recent studies have investigated muscle synergies as biomarkers for stroke, but it remains controversial if muscle synergies and clinical observation convey the same information on motor impairment. We aim to identify whether muscle synergies and clinical scales convey the same information or not. Post-stroke patients were administered an upper limb treatment. Before (T0) and after (T1) treatment, we assessed motor performance with clinical scales and motor output with EMG-derived muscle synergies. We implemented an exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA) to identify the underlying relationships among all variables, at T0 and T1, and a general linear regression model to infer any relationships between the similarity between the affected and unaffected synergies (Median-sp) and clinical outcomes at T0. Clinical variables improved with rehabilitation whereas muscle-synergy parameters did not show any significant change. EFA and CFA showed that clinical variables and muscle-synergy parameters (except Median-sp) were grouped into different factors. Regression model showed that Median-sp could be well predicted by clinical scales. The information underlying clinical scales and muscle synergies are therefore different. However, clinical scales well predicted the similarity between the affected and unaffected synergies. Our results may have implications on personalizing rehabilitation protocols.