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1000 Titel
  • Multicenter stability of resting state fMRI in the detection of Alzheimer's disease and amnestic MCI
1000 Autor/in
  1. Teipel, Stefan J. |
  2. Wohlert, Alexandra |
  3. Metzger, Coraline |
  4. Grimmer, Timo |
  5. Sorg, Christian |
  6. Ewers, Michael |
  7. Meisenzahl, Eva |
  8. Klöppel, Stefan |
  9. Borchardt, Viola |
  10. Grothe, Michel J. |
  11. Walter, Martin |
  12. Dyrba, Martin |
1000 Erscheinungsjahr 2017
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-01-18
1000 Erschienen in
1000 Quellenangabe
  • 14: 183-194
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.nicl.2017.01.018 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5279697/ |
1000 Ergänzendes Material
  • http://www.sciencedirect.com/science/article/pii/S2213158217300189?via%3Dihub#s0090 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: In monocentric studies, patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD) dementia exhibited alterations of functional cortical connectivity in resting-state functional MRI (rs-fMRI) analyses. Multicenter studies provide access to large sample sizes, but rs-fMRI may be particularly sensitive to multiscanner effects. METHODS: We used data from five centers of the “German resting-state initiative for diagnostic biomarkers” (psymri.org), comprising 367 cases, including AD patients, MCI patients and healthy older controls, to assess the influence of the distributed acquisition on the group effects. We calculated accuracy of group discrimination based on whole brain functional connectivity of the posterior cingulate cortex (PCC) using pooled samples as well as second-level analyses across site-specific group contrast maps. RESULTS: We found decreased functional connectivity in AD patients vs. controls, including clusters in the precuneus, inferior parietal cortex, lateral temporal cortex and medial prefrontal cortex. MCI subjects showed spatially similar, but less pronounced, differences in PCC connectivity when compared to controls. Group discrimination accuracy for AD vs. controls (MCI vs. controls) in the test data was below 76% (72%) based on the pooled analysis, and even lower based on the second level analysis stratified according to scanner. Only a subset of quality measures was useful to detect relevant scanner effects. CONCLUSIONS: Multicenter rs-fMRI analysis needs to employ strict quality measures, including visual inspection of all the data, to avoid seriously confounded group effects. While pending further confirmation in biomarker stratified samples, these findings suggest that multicenter acquisition limits the use of rs-fMRI in AD and MCI diagnosis.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/VGVpcGVsLCBTdGVmYW4gSi4=|https://frl.publisso.de/adhoc/creator/V29obGVydCwgQWxleGFuZHJh|https://frl.publisso.de/adhoc/creator/TWV0emdlciwgQ29yYWxpbmU=|https://frl.publisso.de/adhoc/creator/R3JpbW1lciwgVGltbw==|https://frl.publisso.de/adhoc/creator/U29yZywgQ2hyaXN0aWFu|https://frl.publisso.de/adhoc/creator/RXdlcnMsIE1pY2hhZWw=|https://frl.publisso.de/adhoc/creator/TWVpc2VuemFobCwgRXZh|https://frl.publisso.de/adhoc/creator/S2zDtnBwZWwsIFN0ZWZhbg==|https://frl.publisso.de/adhoc/creator/Qm9yY2hhcmR0LCBWaW9sYQ==|https://frl.publisso.de/adhoc/creator/R3JvdGhlLCBNaWNoZWwgSi4=|https://frl.publisso.de/adhoc/creator/V2FsdGVyLCBNYXJ0aW4=|https://frl.publisso.de/adhoc/creator/RHlyYmEsIE1hcnRpbg==
1000 Label
1000 Förderer
  1. Federal Ministry of Research (BMBF) |
  2. Alzheimer Forschung Initiative (AFI) |
  3. Ludwig-Maximilians-University (LMU), Germany |
  4. European Commission |
1000 Fördernummer
  1. 1GQ1425B
  2. -
  3. -
  4. PCIG12-GA-2012-334259
1000 Förderprogramm
  1. AgeGain
  2. -
  3. LMUexcellent
  4. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Federal Ministry of Research (BMBF) |
    1000 Förderprogramm AgeGain
    1000 Fördernummer 1GQ1425B
  2. 1000 joinedFunding-child
    1000 Förderer Alzheimer Forschung Initiative (AFI) |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Ludwig-Maximilians-University (LMU), Germany |
    1000 Förderprogramm LMUexcellent
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer European Commission |
    1000 Förderprogramm -
    1000 Fördernummer PCIG12-GA-2012-334259
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6406162.rdf
1000 Erstellt am 2018-01-04T17:44:01.115+0100
1000 Erstellt von 218
1000 beschreibt frl:6406162
1000 Bearbeitet von 288
1000 Zuletzt bearbeitet Wed Mar 31 09:34:01 CEST 2021
1000 Objekt bearb. Wed Mar 31 09:34:01 CEST 2021
1000 Vgl. frl:6406162
1000 Oai Id
  1. oai:frl.publisso.de:frl:6406162 |
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