Discriminant analysis using MRI asymmetry indices and cognitive scores of women with temporal lobe epilepsy or schizophrenia.
Purpose: This study aims to assess the diagnostic power of brain asymmetry indices and neuropsychological tests for differentiating mesial temporal lobe epilepsy (MTLE) and schizophrenia (SCZ). Methods: We studied a total of 39 women including 13 MTLE, 13 SCZ, and 13 healthy individuals (HC). A neur...
| Publicado en: | Neuroradiology Vol. 66; no. 7; pp. 1083 - 1093 |
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| Autores principales: | , , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jul2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=177648381&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 177648381 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00283940 NYZ jtl: Neuroradiology issn: 00283940 maglogo: N pubinfo: dt: Jul2024 vid: 66 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 177648381 175717039 177648381 177648381 10.1007/s00234-024-03317-y 177648381 ppf: 1083 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Discriminant analysis using MRI asymmetry indices and cognitive scores of women with temporal lobe epilepsy or schizophrenia. aug: au: Fırat, Zeynep Er, Füsun Noyan, Handan Ekinci, Gazanfer Üçok, Alp Uluğ, Aziz M. Aktekin, Berrin affil: https://ror.org/025mx2575 Department of Radiology, Yeditepe University Hospitals, 34718, Kosuyolu, Istanbul, Turkey sug: subj: Magnetic Resonance Imaging Cognition Evaluation Women Psychosocial Factors Epilepsy, Temporal Lobe Schizophrenia Neuropsychological Tests Human Discriminant Analysis Female Biological Markers Female ab: Purpose: This study aims to assess the diagnostic power of brain asymmetry indices and neuropsychological tests for differentiating mesial temporal lobe epilepsy (MTLE) and schizophrenia (SCZ). Methods: We studied a total of 39 women including 13 MTLE, 13 SCZ, and 13 healthy individuals (HC). A neuropsychological test battery (NPT) was administered and scored by an experienced neuropsychologist, and NeuroQuant (CorTechs Labs Inc., San Diego, California) software was used to calculate brain asymmetry indices (ASI) for 71 different anatomical regions of all participants based on their 3D T1 MR imaging scans. Results: Asymmetry indices measured from 10 regions showed statistically significant differences between the three groups. In this study, a multi-class linear discriminant analysis (LDA) model was built based on a total of fifteen variables composed of the most five significantly informative NPT scores and ten significant asymmetry indices, and the model achieved an accuracy of 87.2%. In pairwise classification, the accuracy for distinguishing MTLE from either SCZ or HC was 94.8%, while the accuracy for distinguishing SCZ from either MTLE or HC was 92.3%. Conclusion: The ability to differentiate MTLE from SCZ using neuroradiological and neuropsychological biomarkers, even within a limited patient cohort, could make a substantial contribution to research in larger patient groups using different machine learning techniques. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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