Functional Connectivity and MRI Radiomics Biomarkers of Cognitive and Brain Reserve in Post-Stroke Cognitive Impairment Prediction—A Study Protocol
Acute ischemic stroke (AIS) is frequently associated with long-term post-stroke cognitive impairment (PSCI) and dementia. While the mechanisms behind PSCI are not fully understood, the brain and cognitive reserve concepts are topics of ongoing research exploring the ability of individuals to maintai...
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2025-01-01
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| author | Hanna Maria Dragoș Adina Stan Livia Livinț Popa Roxana Pintican Diana Feier Nicu Cătălin Drăghici Dragoș-Cătălin Jianu Diana Chira Ștefan Strilciuc Dafin F. Mureșanu |
| author_facet | Hanna Maria Dragoș Adina Stan Livia Livinț Popa Roxana Pintican Diana Feier Nicu Cătălin Drăghici Dragoș-Cătălin Jianu Diana Chira Ștefan Strilciuc Dafin F. Mureșanu |
| author_sort | Hanna Maria Dragoș |
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| description | Acute ischemic stroke (AIS) is frequently associated with long-term post-stroke cognitive impairment (PSCI) and dementia. While the mechanisms behind PSCI are not fully understood, the brain and cognitive reserve concepts are topics of ongoing research exploring the ability of individuals to maintain intact cognitive performance despite ischemic injuries. Brain reserve refers to the brain’s structural capacity to compensate for damage, with markers like hippocampal atrophy and white matter lesions indicating reduced reserve. Cognitive reserve involves the brain’s ability to optimize performance and use alternative networks to maintain function. Advanced methods of MRI and EEG processing may better assess brain reserve and cognitive reserve, with emerging predictive models integrating these measures to improve PSCI prediction. This article provides the design of a hospital-based study investigating the predictive role of functional connectivity and MRI radiomics in assessing PSCI occurrence one year after AIS. One hundred forty-four patients will be enrolled following strict inclusion/exclusion criteria. The patients will undergo comprehensive assessments, including neuropsychological testing, brain MRI, and quantitative EEG (QEEG), across four visits over a year. The primary outcome will be PSCI occurrence, and it will be assessed at six and twelve months after AIS. Secondary outcomes will include PSCI severity, recurrent AIS, and mortality. Statistical analyses will be performed to identify predictive factors using Cox proportional hazards models, and predictive models based on QEEG, MRI radiomics, and clinical data will be built. Early detection of AIS patients prone to developing PSCI might outline more effective therapeutic approaches, reducing the social and economic burden of ischemic stroke. |
| format | Article |
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| institution | Kabale University |
| issn | 2075-1729 |
| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-8a4e704caa134d1a96a325e87ae8ca022025-01-24T13:38:55ZengMDPI AGLife2075-17292025-01-0115113110.3390/life15010131Functional Connectivity and MRI Radiomics Biomarkers of Cognitive and Brain Reserve in Post-Stroke Cognitive Impairment Prediction—A Study ProtocolHanna Maria Dragoș0Adina Stan1Livia Livinț Popa2Roxana Pintican3Diana Feier4Nicu Cătălin Drăghici5Dragoș-Cătălin Jianu6Diana Chira7Ștefan Strilciuc8Dafin F. Mureșanu9Department of Neurosciences, Iuliu Hațieganu University of Medicine and Pharmacy, No. 8 Victor Babeș Street, 400012 Cluj-Napoca, RomaniaDepartment of Neurosciences, Iuliu Hațieganu University of Medicine and Pharmacy, No. 8 Victor Babeș Street, 400012 Cluj-Napoca, RomaniaDepartment of Neurosciences, Iuliu Hațieganu University of Medicine and Pharmacy, No. 8 Victor Babeș Street, 400012 Cluj-Napoca, RomaniaDepartment of Radiology, Iuliu Hatieganu University of Medicine and Pharmacy, No. 3–5, Clinicilor Street, 400006 Cluj-Napoca, RomaniaDepartment of Radiology, Iuliu Hatieganu University of Medicine and Pharmacy, No. 3–5, Clinicilor Street, 400006 Cluj-Napoca, RomaniaDepartment of Neurosciences, Iuliu Hațieganu University of Medicine and Pharmacy, No. 8 Victor Babeș Street, 400012 Cluj-Napoca, RomaniaFirst Division of Neurology, Department of Neurosciences-VIII, “Victor Babes” University of Medicine and Pharmacy, E. Murgu Sq., No. 2, 300041 Timisoara, RomaniaDepartment of Neurosciences, Iuliu Hațieganu University of Medicine and Pharmacy, No. 8 Victor Babeș Street, 400012 Cluj-Napoca, RomaniaDepartment of Neurosciences, Iuliu Hațieganu University of Medicine and Pharmacy, No. 8 Victor Babeș Street, 400012 Cluj-Napoca, RomaniaDepartment of Neurosciences, Iuliu Hațieganu University of Medicine and Pharmacy, No. 8 Victor Babeș Street, 400012 Cluj-Napoca, RomaniaAcute ischemic stroke (AIS) is frequently associated with long-term post-stroke cognitive impairment (PSCI) and dementia. While the mechanisms behind PSCI are not fully understood, the brain and cognitive reserve concepts are topics of ongoing research exploring the ability of individuals to maintain intact cognitive performance despite ischemic injuries. Brain reserve refers to the brain’s structural capacity to compensate for damage, with markers like hippocampal atrophy and white matter lesions indicating reduced reserve. Cognitive reserve involves the brain’s ability to optimize performance and use alternative networks to maintain function. Advanced methods of MRI and EEG processing may better assess brain reserve and cognitive reserve, with emerging predictive models integrating these measures to improve PSCI prediction. This article provides the design of a hospital-based study investigating the predictive role of functional connectivity and MRI radiomics in assessing PSCI occurrence one year after AIS. One hundred forty-four patients will be enrolled following strict inclusion/exclusion criteria. The patients will undergo comprehensive assessments, including neuropsychological testing, brain MRI, and quantitative EEG (QEEG), across four visits over a year. The primary outcome will be PSCI occurrence, and it will be assessed at six and twelve months after AIS. Secondary outcomes will include PSCI severity, recurrent AIS, and mortality. Statistical analyses will be performed to identify predictive factors using Cox proportional hazards models, and predictive models based on QEEG, MRI radiomics, and clinical data will be built. Early detection of AIS patients prone to developing PSCI might outline more effective therapeutic approaches, reducing the social and economic burden of ischemic stroke.https://www.mdpi.com/2075-1729/15/1/131post-stroke cognitive impairmentbrain reservecognitive reservefunctional connectivityMRI radiomicsquantitative EEG |
| spellingShingle | Hanna Maria Dragoș Adina Stan Livia Livinț Popa Roxana Pintican Diana Feier Nicu Cătălin Drăghici Dragoș-Cătălin Jianu Diana Chira Ștefan Strilciuc Dafin F. Mureșanu Functional Connectivity and MRI Radiomics Biomarkers of Cognitive and Brain Reserve in Post-Stroke Cognitive Impairment Prediction—A Study Protocol Life post-stroke cognitive impairment brain reserve cognitive reserve functional connectivity MRI radiomics quantitative EEG |
| title | Functional Connectivity and MRI Radiomics Biomarkers of Cognitive and Brain Reserve in Post-Stroke Cognitive Impairment Prediction—A Study Protocol |
| title_full | Functional Connectivity and MRI Radiomics Biomarkers of Cognitive and Brain Reserve in Post-Stroke Cognitive Impairment Prediction—A Study Protocol |
| title_fullStr | Functional Connectivity and MRI Radiomics Biomarkers of Cognitive and Brain Reserve in Post-Stroke Cognitive Impairment Prediction—A Study Protocol |
| title_full_unstemmed | Functional Connectivity and MRI Radiomics Biomarkers of Cognitive and Brain Reserve in Post-Stroke Cognitive Impairment Prediction—A Study Protocol |
| title_short | Functional Connectivity and MRI Radiomics Biomarkers of Cognitive and Brain Reserve in Post-Stroke Cognitive Impairment Prediction—A Study Protocol |
| title_sort | functional connectivity and mri radiomics biomarkers of cognitive and brain reserve in post stroke cognitive impairment prediction a study protocol |
| topic | post-stroke cognitive impairment brain reserve cognitive reserve functional connectivity MRI radiomics quantitative EEG |
| url | https://www.mdpi.com/2075-1729/15/1/131 |
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