Multicenter Resting State Functional Connectivity in Prodromal and Dementia Stages of Alzheimer's Disease
Autor: | Josef Priller, Michael Wagner, Michael T. Heneka, Anja Schneider, Laura Dobisch, Felix Menne, Alexandra Polcher, Annika Spottke, Emrah Düzel, Stefan J. Teipel, Eike Jakob Spruth, Christiana Franke, Martin Dyrba, Klaus Fliebach, Cihan Catak, René Thyrian, Dominik Diesing, Katharina Brueggen, Manuela Thelen, Ingo Kilimann, Frederic Brosseron, Frank Jessen, Oliver Peters, Katharina Buerger, Coraline D. Metzger, Barbara Kofler |
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Rok vydání: | 2018 |
Předmět: |
Male
cerebrospinal fluid [Amyloid beta-Peptides] Logistic regression Correlation 0302 clinical medicine Germany Image Processing Computer-Assisted diagnostic imaging [Dementia] Cognitive decline Default mode network General Neuroscience 05 social sciences Brain General Medicine amyloid beta-protein (1-42) Magnetic Resonance Imaging cerebrospinal fluid [Alzheimer Disease] Psychiatry and Mental health Clinical Psychology blood [Oxygen] Biomarker (medicine) Female medicine.medical_specialty Rest Prodromal Symptoms physiopathology [Alzheimer Disease] 050105 experimental psychology 03 medical and health sciences Physical medicine and rehabilitation Alzheimer Disease Journal Article medicine Dementia Humans 0501 psychology and cognitive sciences ddc:610 cerebrospinal fluid [Peptide Fragments] diagnostic imaging [Brain] Aged Amyloid beta-Peptides Resting state fMRI business.industry amyloid beta-protein (1-40) medicine.disease Peptide Fragments Oxygen Observational study Geriatrics and Gerontology business diagnostic imaging [Alzheimer Disease] 030217 neurology & neurosurgery |
Zdroj: | Journal of Alzheimer's disease 64(3), 801-813 (2018). doi:10.3233/JAD-180106 Teipel, S J, Metzger, C, Brosseron, F, Buerger, K, Brueggen, K, Catak, C, Diesing, D, Dobisch, L, Fliebach, K, Franke, C, Heneka, M, Kilimann, I, Kofler, B, Menne, F, Peters, O, Polcher, A, Priller, J, Schneider, A, Spottke, A, Spruth, E J, Thelen, M, Thyrian, R J, Wagner, M, Düzel, E & Jessen, F & Dyrba, M 2018, ' Multicenter Resting State Functional Connectivity in Prodromal and Dementia Stages of Alzheimer's Disease ', Journal of Alzheimer's Disease . https://doi.org/10.3233/JAD-180106 |
ISSN: | 1875-8908 |
DOI: | 10.3233/JAD-180106 |
Popis: | BACKGROUND: Alterations of intrinsic networks from resting state fMRI (rs-fMRI) have been suggested as functional biomarkers of Alzheimer's disease (AD).OBJECTIVE: To determine the diagnostic accuracy of multicenter rs-fMRI for prodromal and preclinical stages of AD.METHODS: We determined rs-fMRI functional connectivity based on Pearson's correlation coefficients and amplitude of low-frequency fluctuation in people with subjective cognitive decline, people with mild cognitive impairment, and people with AD dementia compared with healthy controls. We used data of 247 participants of the prospective DELCODE study, a longitudinal multicenter observational study, imposing a unified fMRI acquisition protocol across sites. We determined cross-validated discrimination accuracy based on penalized logistic regression to account for multicollinearity of predictors.RESULTS: Resting state functional connectivity reached significant cross-validated group discrimination only for the comparison of AD dementia cases with healthy controls, but not for the other diagnostic groups. AD dementia cases showed alterations in a large range of intrinsic resting state networks, including the default mode and salience networks, but also executive and language networks. When groups were stratified according to their CSF amyloid status that was available in a subset of cases, diagnostic accuracy was increased for amyloid positive mild cognitive impairment cases compared with amyloid negative controls, but still inferior to the accuracy of hippocampus volume.CONCLUSION: Even when following a strictly harmonized data acquisition protocol and rigorous scan quality control, widely used connectivity measures of multicenter rs-fMRI do not reach levels of diagnostic accuracy sufficient for a useful biomarker in prodromal stages of AD. |
Databáze: | OpenAIRE |
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