Stroke
Conditions
Keywords
high-density electroencephalography, brain connectivity
Brief summary
Emerging scientific results show that disrupted functional connectivity in stroke can explain behavioral impairments and predict their recovery over time. However, no technique is yet available for widespread use in clinics to examine how neural synchronization in brain networks is altered in stroke patients. This is crucial to determine favorable prognostic factors and to define individualized rehabilitation protocols. Importantly, the investigators have successfully used high-density electroencephalography (hdEEG) in healthy individuals to measure neural synchronization in brain networks. In this project, the investigators will develop methods and tools based on hdEEG for assessing functional connectivity in stroke patients. These methods and tools will be employed to examine how neural changes occurring after brain lesions explain behavioral impairments. The project will open the way for the use of hdEEG at the patient's bedside, as a neurodiagnostic tool for stroke as well as other brain disorders.
Interventions
Electroencephalography connectivity measures will be collected and compared in both stroke patients and healthy participants. Connectivity measures will be extracted using these devices: high-density electroencephalography (using either a 128-channel or a 256-channel system) and magnetic resonance imaging.
Sponsors
Study design
Eligibility
Inclusion criteria
In this study 125 stroke patients and 45 healthy participants will be recruited at the Institute for Research and Healthcare with a Scientific Character (IRCCS) San Camillo hospital. Inclusion Criteria (patients): * right or left hemisphere damage * unilateral stroke * compliance with magnetic resonance imaging (e.g., no claustrophobia) Inclusion Criteria (healthy participants): • compliance with magnetic resonance imaging (e.g., no claustrophobia)
Exclusion criteria
(both patients and healthy participants): • no comorbidities with psychiatric disorders
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| High-density electroencephalography measurements (work package 1, 2, and 3) | Immediately after the recruiting | High-density electroencephalography measurements, specifically focusing on resting state networks, will be performed using either a 128-channel or a 256-channel system |
| Magnetic Resonance Imaging measurement (work package 1, 2, and 3) | Immediately after the recruiting | Magnetic Resonance Imaging will be conducted using a 3 Tesla scanner. Specifically, T1-weighted Magnetic Resonance Imaging measure will be collected |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Spasticity measurement (work package 3) | Immediately after the recruiting | Spasticity will be measured in the patients by using the Modified Ashworth Score |
| Funtional skills measurement (work package 3). | Immediately after the recruiting | Functional skills will be measured in the patients by using the Functional Independence Measure index. Six domains of function are evaluated: self-care, sphincter control, transfers, locomotion, communication, and social cognition. Self-care activities include dressing, eating, grooming, and bathing. |
| Muscle strength measurement (work package 3) | Immediately after the recruiting | Muscle strength will be measured in the patients by using the Medical Research Council Score |
| Pain measurement (work package 3) | Immediately after the recruiting | Pain level will be measured in the patients by the Visual Analog Scale for Pain |
| Cognitive performance measurements (work package 3) | Immediately after the recruiting | Cognitive functions will be measured in the patients by using the Oxford Cognitive Screen |
| Activities of daily living measurement (work package 3) | Immediately after the recruiting | Activities of daily living will be measured in the patients by the Barthel Index |
| Sensorimotor impairment measurement (work package 3) | Immediately after the recruiting | Sensorimotor impairment will be measured in the patients by using the Upper Extremity Fugl-Meyer index |
Countries
Italy