| Reference code: | PT/FB/BL-2022-033.11 |
| Location: | BF-GMS
|
Title:
| Clinical and neurophysiological predictors of the functional outcome in right-hemisphere stroke
|
| Publication year: | 2025
|
URL:
| https://doi.org/10.1016/j.neuroimage.2025.121059
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| Abstract/Results: | ABSTRACT:
Objective
The aim of the present study is to examine the relationship between EEG measures and functional recovery in right-hemisphere stroke patients.
Methods
Participants with stroke (PS) and neurologically unimpaired controls (UC) were enrolled. At enrolment, all participants were assessed for motor and cognitive functioning with specific scales (motricity index, trunk control test, Level of Cognitive Functioning, and Functional Independence Measure (FIM). Moreover, EEG data were recorded. At discharge, participants were re-tested with the FIM
Results
Powers in the delta, theta, alpha, and beta bands and connectivity within the fronto-parietal network were compared between groups. Then, the between-group discriminative EEG measures and the motor/cognitive scales were used to feed a machine learning algorithm to predict FIM scores at discharge and the length of hospitalization (LoH). Higher delta, theta, and beta and impaired connectivity were found in PS compared to UC. Moreover, motor/cognitive functioning, beta power, and fronto-parietal connectivity predicted the FIM score at discharge and the LoH (accuracy=73.2 % and 85.2 % respectively).
Conclusions
Results show that the integration of motor/cognitive scales and EEG measures can reveal the rehabilitative potentials of PS predicting their functional outcome and LoH.
Significance
Synergistic clinical and electrophysiological models can support rehabilitative decision-making.
|
| Accessibility: | Document exists in file
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Language:
| eng
|
Author:
| Di Gregorio, F.
|
Secondary author(s):
| Lullini, G., Orlandi, S., Petrone, V., Ferrucci, E., Casanova, E., Romei, V., La Porta, F.
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Document type:
| Article
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Number of reproductions:
| 1
|
Reference:
| Di Gregorio, F., Lullini, G., Orlandi, S., Petrone, V., Ferrucci, E., Casanova, E., Romei, V., & La Porta, F. (2025). Clinical and neurophysiological predictors of the functional outcome in right-hemisphere stroke. NeuroImage, 308, 121059. https://doi.org/10.1016/j.neuroimage.2025.121059
|
| 2-year Impact Factor: | 4.5|2024
|
| Impact factor notes: | Impact factor not available yet for 2025
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| Times cited: | 0|2025-09-27
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| Indexed document: | Yes
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| Quartile: | Q1
|
| Keywords: | Stroke / Electroencephalography / Functional independence measure / Brain connectivity / Support vector machine
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Clinical and neurophysiological predictors of the functional outcome in right-hemisphere stroke |