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Functional neural networks stratify Parkinson's disease patients across the spectrum of cognitive impairment

dc.authorid0000-0002-5286-4981
dc.authorid0000-0003-0552-8464
dc.authorid0000-0002-1289-4641
dc.authorid0000-0003-4292-5717
dc.authorid0000-0002-2752-1223
dc.authorid0000-0001-5118-4776
dc.contributor.authorHajebrahimi, Farzin
dc.contributor.authorBudak, Miray
dc.contributor.authorSarıcaoğlu, Mevhibe
dc.contributor.authorTemel, Zeynep
dc.contributor.authorKahraman Demir, Tuğçe
dc.contributor.authorHanoğlu, Lütfü
dc.contributor.authorYıldırım, Süleyman
dc.contributor.authorBayraktaroğlu, Zübeyir
dc.date.accessioned2024-02-12T09:38:41Z
dc.date.available2024-02-12T09:38:41Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Sağlık Bilim ve Teknolojileri Araştırma Enstitüsü
dc.departmentİstanbul Medipol Üniversitesi, Sağlık Bilimleri Fakültesi, Fizyoterapi ve Rehabilitasyon Bölümü
dc.departmentİstanbul Medipol Üniversitesi, Sağlık Bilimleri Fakültesi, Ergoterapi Bölümü
dc.departmentİstanbul Medipol Üniversitesi, İMÜ Meslek Yüksekokulu, Elektronörofizyoloji Ana Bilim Dalı
dc.departmentİstanbul Medipol Üniversitesi, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Nöroloji Ana Bilim Dalı
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Rejeneratif ve Restoratif Tıp Araştırmaları Merkezi (REMER)
dc.departmentİstanbul Medipol Üniversitesi, Uluslararası Tıp Fakültesi, Temel Tıp Bilimleri Bölümü, Tıbbi Mikrobiyoloji Ana Bilim Dalı
dc.departmentİstanbul Medipol Üniversitesi, Uluslararası Tıp Fakültesi, Temel Tıp Bilimleri Bölümü, Fizyoloji Ana Bilim Dalı
dc.description.abstractIntroduction Cognitive impairment (CI) is a significant non-motor symptoms in Parkinson's disease (PD) that often precedes the emergence of motor symptoms by several years. Patients with PD hypothetically progress from stages without CI (PD-normal cognition [NC]) to stages with Mild CI (PD-MCI) and PD dementia (PDD). CI symptoms in PD are linked to different brain regions and neural pathways, in addition to being the result of dysfunctional subcortical regions. However, it is still unknown how functional dysregulation correlates to progression during the CI. Neuroimaging techniques hold promise in discriminating CI stages of PD and further contribute to the biomarker formation of CI in PD. In this study, we explore disparities in the clinical assessments and resting-state functional connectivity (FC) among three CI stages of PD.Methods We enrolled 88 patients with PD and 26 healthy controls (HC) for a cross sectional clinical study and performed intra- and inter-network FC analysis in conjunction with comprehensive clinical cognitive assessment.Results Our findings underscore the significance of several neural networks, namely, the default mode network (DMN), frontoparietal network (FPN), dorsal attention network, and visual network (VN) and their inter-intra-network FC in differentiating between PD-MCI and PDD. Additionally, our results showed the importance of sensory motor network, VN, DMN, and salience network (SN) in the discriminating PD-NC from PDD. Finally, in comparison to HC, we found DMN, FPN, VN, and SN as pivotal networks for further differential diagnosis of CI stages of PD.Conclusion We propose that resting-state networks (RSN) can be a discriminating factor in distinguishing the CI stages of PD and progressing from PD-NC to MCI or PDD. The integration of clinical and neuroimaging data may enhance the early detection of PD in clinical settings and potentially prevent the disease from advancing to more severe stages.
dc.identifier.citationHajebrahimi, F., Budak, M., Sarıcaoğlu, M., Temel, Z., Kahraman Demir, T., Hanoğlu, L. ... Bayraktaroğlu, Z. (2024). Functional neural networks stratify Parkinson's disease patients across the spectrum of cognitive impairment. Brain and Behavior, 14(1). https://dx.doi.org/10.1002/brb3.3395
dc.identifier.doi10.1002/brb3.3395
dc.identifier.issn2162-3279
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85183040961
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://dx.doi.org/10.1002/brb3.3395
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12262
dc.identifier.volume14
dc.identifier.wos001149955800001en_US
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorHajebrahimi, Farzin
dc.institutionauthorBudak, Miray
dc.institutionauthorSarıcaoğlu, Mevhibe
dc.institutionauthorHanoğlu, Lütfü
dc.institutionauthorYıldırım, Süleyman
dc.institutionauthorBayraktaroğlu, Zübeyir
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofBrain and Behavioren_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsAttribution 4.0 International*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectCognitive Impairment
dc.subjectDementia
dc.subjectfMRI
dc.subjectMCI
dc.subjectParkinson’s Disease
dc.subjectResting-State
dc.titleFunctional neural networks stratify Parkinson's disease patients across the spectrum of cognitive impairment
dc.typeArticle

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