Identification of metabolic correlates of mild cognitive impairment in Parkinson's disease using magnetic resonance spectroscopic imaging and machine learning

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dc.authorid0000-0002-1332-3007
dc.authorid0000-0002-1124-3695
dc.authorid0000-0001-6625-6787
dc.authorid0000-0002-2817-5596
dc.authorid0000-0003-0675-6442
dc.authorid0000-0001-6989-8611
dc.authorid0000-0002-2315-0322
dc.authorid0000-0001-6032-0856
dc.authorid0000-0002-4624-4428
dc.authorid0000-0002-6803-734X
dc.authorid0000-0003-2908-8475
dc.authorid0000-0002-8997-878X
dc.contributor.authorCengiz, Sevimen_US
dc.contributor.authorArslan, Dilek Betülen_US
dc.contributor.authorKıçik, Anien_US
dc.contributor.authorErdoğdu, Emelen_US
dc.contributor.authorYıldırım, Muhammeden_US
dc.contributor.authorHatay, Gökçe Haleen_US
dc.contributor.authorTüfekçioğlu, Zeynepen_US
dc.contributor.authorUluğ, Aziz Müfiten_US
dc.contributor.authorBilgiç, Başaren_US
dc.contributor.authorHanagasi, Haşmeten_US
dc.contributor.authorDemiralp, Tameren_US
dc.contributor.authorGürvit, Hakanen_US
dc.contributor.authorÖztürk Işıkk, Esinen_US
dc.date.accessioned2022-08-31T08:36:56Z
dc.date.available2022-08-31T08:36:56Z
dc.date.issued2022-12
dc.departmentIşık Üniversitesi, İktisadi, İdari ve Sosyal Bilimler Fakültesi, Psikoloji Bölümüen_US
dc.departmentIşık Üniversitesi, Faculty Of Economics, Administrative And Social Sciences, Psychology Departmenten_US
dc.descriptionThis study was funded by The Scientific and Technological Research Council of Turkey (TUBITAK) 1001 Grant #115S219 and Istanbul University Scientific Research Projects Unit project #1567/42362.en_US
dc.description.abstractObjective: To investigate metabolic changes of mild cognitive impairment in Parkinson’s disease (PD-MCI) using proton magnetic resonance spectroscopic imaging (1H-MRSI). Methods: Sixteen healthy controls (HC), 26 cognitively normal Parkinson’s disease (PD-CN) patients, and 34 PD-MCI patients were scanned in this prospective study. Neuropsychological tests were performed, and three-dimensional 1H-MRSI was obtained at 3 T. Metabolic parameters and neuropsychological test scores were compared between PD-MCI, PD-CN, and HC. The correlations between neuropsychological test scores and metabolic intensities were also assessed. Supervised machine learning algorithms were applied to classify HC, PD-CN, and PD-MCI groups based on metabolite levels. Results: PD-MCI had a lower corrected total N-acetylaspartate over total creatine ratio (tNAA/tCr) in the right precentral gyrus, corresponding to the sensorimotor network (p = 0.01), and a lower tNAA over myoinositol ratio (tNAA/mI) at a part of the default mode network, corresponding to the retrosplenial cortex (p = 0.04) than PD-CN. The HC and PD-MCI patients were classified with an accuracy of 86.4% (sensitivity = 72.7% and specificity = 81.8%) using bagged trees. Conclusion: 1H-MRSI revealed metabolic changes in the default mode, ventral attention/salience, and sensorimotor networks of PD-MCI patients, which could be summarized mainly as ‘posterior cortical metabolic changes’ related with cognitive dysfunction.en_US
dc.description.sponsorshipTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK)en_US
dc.description.sponsorshipIstanbul Universityen_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationCengiz, S., Arslan, D. B., Kıçik, A., Erdoğdu, E., Yıldırım, M., Hatay, G. H., Tüfekçioğlu, Z., Uluğ, A. M., Bilgiç, B., Hanagasi, H., Demiralp, T. & Gürvit, H. (2022). Identification of metabolic correlates of mild cognitive impairment in Parkinson's disease using magnetic resonance spectroscopic imaging and machine learning. Magnetic Resonance Materials in Physics, Biology and Medicine, 35(6), 997-1008. doi:10.1007/s10334-022-01030-6en_US
dc.identifier.doi10.1007/s10334-022-01030-6
dc.identifier.endpage1008
dc.identifier.issn1352-8661
dc.identifier.issn0968-5243
dc.identifier.issue6
dc.identifier.pmid35867235
dc.identifier.scopus2-s2.0-85134713185
dc.identifier.scopusqualityQ2
dc.identifier.startpage997
dc.identifier.urihttps://hdl.handle.net/11729/4804
dc.identifier.urihttp://dx.doi.org/10.1007/s10334-022-01030-6
dc.identifier.volume35
dc.identifier.wosWOS:000828927500002
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorErdoğdu, Emelen_US
dc.institutionauthorid0000-0002-2817-5596
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofMagnetic Resonance Materials in Physics, Biology and Medicineen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCognitive dysfunctionen_US
dc.subjectMachine learningen_US
dc.subjectMagnetic resonance spectroscopyen_US
dc.subjectParkinson’s diseaseen_US
dc.subjectPosterior cingulate cortexen_US
dc.subjectNondemented patientsen_US
dc.subjectDiagnostic criteriaen_US
dc.subjectDementiaen_US
dc.subjectMovementen_US
dc.subjectConnectivityen_US
dc.subjectNetworksen_US
dc.subjectHypoperfusionen_US
dc.subjectAssociationsen_US
dc.subjectRobusten_US
dc.subjectCreatineen_US
dc.subjectN Acetylaspartic aciden_US
dc.subjectCognitive dysfunctionen_US
dc.titleIdentification of metabolic correlates of mild cognitive impairment in Parkinson's disease using magnetic resonance spectroscopic imaging and machine learningen_US
dc.typeArticleen_US
dspace.entity.typePublication

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