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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.issued2024en_US
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/brb3.3395en_US
dc.identifier.issn2162-3279
dc.identifier.urihttps://dx.doi.org/10.1002/brb3.3395
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12262
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.en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectCognitive Impairmenten_US
dc.subjectDementiaen_US
dc.subjectfMRIen_US
dc.subjectMCIen_US
dc.subjectParkinson’s Diseaseen_US
dc.subjectResting-Stateen_US
dc.titleFunctional neural networks stratify Parkinson's disease patients across the spectrum of cognitive impairmenten_US
dc.typearticleen_US
dc.relation.ispartofBrain and Behavioren_US
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Sağlık Bilim ve Teknolojileri Araştırma Enstitüsüen_US
dc.departmentİstanbul Medipol Üniversitesi, Sağlık Bilimleri Fakültesi, Fizyoterapi ve Rehabilitasyon Bölümüen_US
dc.departmentİstanbul Medipol Üniversitesi, Sağlık Bilimleri Fakültesi, Ergoterapi Bölümüen_US
dc.departmentİstanbul Medipol Üniversitesi, İMÜ Meslek Yüksekokulu, Elektronörofizyoloji Ana Bilim Dalıen_US
dc.departmentİstanbul Medipol Üniversitesi, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Nöroloji Ana Bilim Dalıen_US
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Rejeneratif ve Restoratif Tıp Araştırmaları Merkezi (REMER)en_US
dc.departmentİstanbul Medipol Üniversitesi, Uluslararası Tıp Fakültesi, Temel Tıp Bilimleri Bölümü, Tıbbi Mikrobiyoloji Ana Bilim Dalıen_US
dc.departmentİstanbul Medipol Üniversitesi, Uluslararası Tıp Fakültesi, Temel Tıp Bilimleri Bölümü, Fizyoloji Ana Bilim Dalıen_US
dc.authorid0000-0002-5286-4981en_US
dc.authorid0000-0003-0552-8464en_US
dc.authorid0000-0002-1289-4641en_US
dc.authorid0000-0003-4292-5717en_US
dc.authorid0000-0002-2752-1223en_US
dc.authorid0000-0001-5118-4776en_US
dc.identifier.volume14en_US
dc.identifier.issue1en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1002/brb3.3395en_US
dc.institutionauthorHajebrahimi, Farzin
dc.institutionauthorBudak, Miray
dc.institutionauthorSarıcaoğlu, Mevhibe
dc.institutionauthorHanoğlu, Lütfü
dc.institutionauthorYıldırım, Süleyman
dc.institutionauthorBayraktaroğlu, Zübeyir
dc.identifier.wosqualityQ2en_US
dc.identifier.wos001149955800001en_US
dc.identifier.scopus2-s2.0-85183040961en_US
dc.identifier.scopusqualityQ2en_US


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