A multivariate metabolic imaging marker for behavioral variant frontotemporal dementia
Abstract Introduction The heterogeneity of behavioral variant frontotemporal dementia (bvFTD) calls for multivariate imaging biomarkers. Methods We studied a total of 148 dementia patients from the Feinstein Institute (Center‐A: 25 bvFTD and 10 Alzheimer's disease), Technical University of Muni...
Egile Nagusiak: | , , , , , , , , , , , , |
---|---|
Formatua: | Artikulua |
Hizkuntza: | English |
Argitaratua: |
Wiley
2018-01-01
|
Saila: | Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring |
Gaiak: | |
Sarrera elektronikoa: | https://doi.org/10.1016/j.dadm.2018.07.009 |
_version_ | 1828488015610118144 |
---|---|
author | Amir Nazem Chris C. Tang Phoebe Spetsieris Christian Dresel Marc L. Gordon Janine Diehl‐Schmid Timo Grimmer Igor Yakushev Paul J. Mattis Yilong Ma Vijay Dhawan David Eidelberg Alzheimer's Disease Neuroimaging Initiative |
author_facet | Amir Nazem Chris C. Tang Phoebe Spetsieris Christian Dresel Marc L. Gordon Janine Diehl‐Schmid Timo Grimmer Igor Yakushev Paul J. Mattis Yilong Ma Vijay Dhawan David Eidelberg Alzheimer's Disease Neuroimaging Initiative |
author_sort | Amir Nazem |
collection | DOAJ |
description | Abstract Introduction The heterogeneity of behavioral variant frontotemporal dementia (bvFTD) calls for multivariate imaging biomarkers. Methods We studied a total of 148 dementia patients from the Feinstein Institute (Center‐A: 25 bvFTD and 10 Alzheimer's disease), Technical University of Munich (Center‐B: 44 bvFTD and 29 FTD language variants), and Alzheimer's Disease Neuroimaging Initiative (40 Alzheimer's disease subjects). To identify the covariance pattern of bvFTD (behavioral variant frontotemporal dementia–related pattern [bFDRP]), we applied principal component analysis to combined 18F‐fluorodeoxyglucose–positron emission tomography scans from bvFTD and healthy subjects. The phenotypic specificity and clinical correlates of bFDRP expression were assessed in independent testing sets. Results The bFDRP was identified in Center‐A data (24.1% of subject × voxel variance; P < .001), reproduced in Center‐B data (P < .001), and independently validated using combined testing data (receiver operating characteristics–area under the curve = 0.97; P < .0001). The expression of bFDRP was specifically elevated in bvFTD patients (P < .001) and was significantly higher at more advanced disease stages (P = .035:duration; P < .01:severity). Discussion The bFDRP can be used as a quantitative imaging marker to gauge the underlying disease process and aid in the differential diagnosis of bvFTD. |
first_indexed | 2024-12-11T10:01:21Z |
format | Article |
id | doaj.art-64ed30768c7a4b88b27d50debc5dbada |
institution | Directory Open Access Journal |
issn | 2352-8729 |
language | English |
last_indexed | 2024-12-11T10:01:21Z |
publishDate | 2018-01-01 |
publisher | Wiley |
record_format | Article |
series | Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring |
spelling | doaj.art-64ed30768c7a4b88b27d50debc5dbada2022-12-22T01:12:06ZengWileyAlzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring2352-87292018-01-0110158359410.1016/j.dadm.2018.07.009A multivariate metabolic imaging marker for behavioral variant frontotemporal dementiaAmir Nazem0Chris C. Tang1Phoebe Spetsieris2Christian Dresel3Marc L. Gordon4Janine Diehl‐Schmid5Timo Grimmer6Igor Yakushev7Paul J. Mattis8Yilong Ma9Vijay Dhawan10David Eidelberg11Alzheimer's Disease Neuroimaging Initiative12Elmezzi Graduate School of Molecular MedicineManhassetNYUSACenter for Neurosciences, The Feinstein Institute for Medical ResearchManhassetNYUSACenter for Neurosciences, The Feinstein Institute for Medical ResearchManhassetNYUSACenter for Neurosciences, The Feinstein Institute for Medical ResearchManhassetNYUSADepartment of NeurologyNorthwell HealthManhassetNYUSADepartment of Psychiatry and Psychotherapy, Klinikum rechts der IsarTechnical University of MunichMunichGermanyDepartment of Psychiatry and Psychotherapy, Klinikum rechts der IsarTechnical University of MunichMunichGermanyDepartment of Nuclear Medicine, Klinikum rechts der IsarTechnical University of MunichMunichGermanyCenter for Neurosciences, The Feinstein Institute for Medical ResearchManhassetNYUSACenter for Neurosciences, The Feinstein Institute for Medical ResearchManhassetNYUSACenter for Neurosciences, The Feinstein Institute for Medical ResearchManhassetNYUSACenter for Neurosciences, The Feinstein Institute for Medical ResearchManhassetNYUSAElmezzi Graduate School of Molecular MedicineManhassetNYUSAAbstract Introduction The heterogeneity of behavioral variant frontotemporal dementia (bvFTD) calls for multivariate imaging biomarkers. Methods We studied a total of 148 dementia patients from the Feinstein Institute (Center‐A: 25 bvFTD and 10 Alzheimer's disease), Technical University of Munich (Center‐B: 44 bvFTD and 29 FTD language variants), and Alzheimer's Disease Neuroimaging Initiative (40 Alzheimer's disease subjects). To identify the covariance pattern of bvFTD (behavioral variant frontotemporal dementia–related pattern [bFDRP]), we applied principal component analysis to combined 18F‐fluorodeoxyglucose–positron emission tomography scans from bvFTD and healthy subjects. The phenotypic specificity and clinical correlates of bFDRP expression were assessed in independent testing sets. Results The bFDRP was identified in Center‐A data (24.1% of subject × voxel variance; P < .001), reproduced in Center‐B data (P < .001), and independently validated using combined testing data (receiver operating characteristics–area under the curve = 0.97; P < .0001). The expression of bFDRP was specifically elevated in bvFTD patients (P < .001) and was significantly higher at more advanced disease stages (P = .035:duration; P < .01:severity). Discussion The bFDRP can be used as a quantitative imaging marker to gauge the underlying disease process and aid in the differential diagnosis of bvFTD.https://doi.org/10.1016/j.dadm.2018.07.009Behavioral variant frontotemporal dementiaSpatial covariance patternDifferential diagnosisQuantitative imaging biomarkerFDG PET |
spellingShingle | Amir Nazem Chris C. Tang Phoebe Spetsieris Christian Dresel Marc L. Gordon Janine Diehl‐Schmid Timo Grimmer Igor Yakushev Paul J. Mattis Yilong Ma Vijay Dhawan David Eidelberg Alzheimer's Disease Neuroimaging Initiative A multivariate metabolic imaging marker for behavioral variant frontotemporal dementia Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring Behavioral variant frontotemporal dementia Spatial covariance pattern Differential diagnosis Quantitative imaging biomarker FDG PET |
title | A multivariate metabolic imaging marker for behavioral variant frontotemporal dementia |
title_full | A multivariate metabolic imaging marker for behavioral variant frontotemporal dementia |
title_fullStr | A multivariate metabolic imaging marker for behavioral variant frontotemporal dementia |
title_full_unstemmed | A multivariate metabolic imaging marker for behavioral variant frontotemporal dementia |
title_short | A multivariate metabolic imaging marker for behavioral variant frontotemporal dementia |
title_sort | multivariate metabolic imaging marker for behavioral variant frontotemporal dementia |
topic | Behavioral variant frontotemporal dementia Spatial covariance pattern Differential diagnosis Quantitative imaging biomarker FDG PET |
url | https://doi.org/10.1016/j.dadm.2018.07.009 |
work_keys_str_mv | AT amirnazem amultivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT chrisctang amultivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT phoebespetsieris amultivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT christiandresel amultivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT marclgordon amultivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT janinediehlschmid amultivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT timogrimmer amultivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT igoryakushev amultivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT pauljmattis amultivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT yilongma amultivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT vijaydhawan amultivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT davideidelberg amultivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT alzheimersdiseaseneuroimaginginitiative amultivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT amirnazem multivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT chrisctang multivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT phoebespetsieris multivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT christiandresel multivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT marclgordon multivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT janinediehlschmid multivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT timogrimmer multivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT igoryakushev multivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT pauljmattis multivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT yilongma multivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT vijaydhawan multivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT davideidelberg multivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia AT alzheimersdiseaseneuroimaginginitiative multivariatemetabolicimagingmarkerforbehavioralvariantfrontotemporaldementia |