Single Subject Classification of Alzheimer's Disease and Behavioral Variant Frontotemporal Dementia Using Anatomical, Diffusion Tensor, and Resting-State Functional Magnetic Resonance Imaging.
Background/objective: Overlapping clinical symptoms often complicate differential diagnosis between patients with Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD). Magnetic resonance imaging (MRI) reveals disease specific structural and functional differences that aid...
| Published in: | Journal of Alzheimer's Disease Vol. 62; no. 4; pp. 1827 - 1840 |
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| Main Authors: | , , , , , , , , , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Sage Publications Inc.
2018
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128978345&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128978345 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13872877 FLR jtl: Journal of Alzheimer's Disease issn: 13872877 maglogo: N pubinfo: dt: 2018 vid: 62 iid: 4 pid: 20732 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 128978345 128978345 NLM29614652 128978345 10.3233/JAD-170893 NLM29614652 128978345 ppf: 1827 ppct: 13 formats: tig: atl: Single Subject Classification of Alzheimer's Disease and Behavioral Variant Frontotemporal Dementia Using Anatomical, Diffusion Tensor, and Resting-State Functional Magnetic Resonance Imaging. aug: au: Zhang Bouts, Mark J.R.J. Möller, Christiane Hafkemeijer, Anne Schouten, Tijn. M. de Vos, Frank Rombouts, Serge A.R.B. de Rooij, Mark van der Grond, Jeroen Feis, Rogier A. van Swieten, John C. Dopper, Elise Pijnenburg, Yolande A.L. Scheltens, Philip van der Flier, Wiesje M. Wink, Alle Meije Barkhof, Frederik Vrenken, Hugo affil: Institute of Psychology, Leiden University, Leiden, The Netherlands sug: subj: Magnetic Resonance Imaging Brain Alzheimer's Disease Frontotemporal Dementia Brain Physiopathology Relaxation Diagnosis, Differential Pharmacokinetics Male ROC Curve Human Aged Frontotemporal Dementia Physiopathology Retrospective Design Middle Age Female Image Interpretation, Computer Assisted Alzheimer's Disease Physiopathology Validation Studies Comparative Studies Evaluation Research Multicenter Studies Aged: 65+ years Middle Aged: 45-64 years Male Female ab: Background/objective: Overlapping clinical symptoms often complicate differential diagnosis between patients with Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD). Magnetic resonance imaging (MRI) reveals disease specific structural and functional differences that aid in differentiating AD from bvFTD patients. However, the benefit of combining structural and functional connectivity measures to-on a subject-basis-differentiate these dementia-types is not yet known.Methods: Anatomical, diffusion tensor (DTI), and resting-state functional MRI (rs-fMRI) of 30 patients with early stage AD, 23 with bvFTD, and 35 control subjects were collected and used to calculate measures of structural and functional tissue status. All measures were used separately or selectively combined as predictors for training an elastic net regression classifier. Each classifier's ability to accurately distinguish dementia-types was quantified by calculating the area under the receiver operating characteristic curves (AUC).Results: Highest AUC values for AD and bvFTD discrimination were obtained when mean diffusivity, full correlations between rs-fMRI-derived independent components, and fractional anisotropy (FA) were combined (0.811). Similarly, combining gray matter density (GMD), FA, and rs-fMRI correlations resulted in highest AUC of 0.922 for control and bvFTD classifications. This, however, was not observed for control and AD differentiations. Classifications with GMD (0.940) and a GMD and DTI combination (0.941) resulted in similar AUC values (p = 0.41).Conclusion: Combining functional and structural connectivity measures improve dementia-type differentiations and may contribute to more accurate and substantiated differential diagnosis of AD and bvFTD patients. Imaging protocols for differential diagnosis may benefit from also including DTI and rs-fMRI. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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