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  FDG-PET hypometabolism is more sensitive than MRI atrophy in Parkinson's disease: A whole-brain multimodal imaging meta-analysis

Albrecht, F., Ballarini, T., Neumann, J., & Schroeter, M. L. (2018). FDG-PET hypometabolism is more sensitive than MRI atrophy in Parkinson's disease: A whole-brain multimodal imaging meta-analysis. NeuroImage: Clinical, 21: 101594. doi:10.1016/j.nicl.2018.11.004.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-AF20-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-9BEB-6
Genre: Journal Article

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 Creators:
Albrecht, Franziska1, Author              
Ballarini, Tommaso1, Author              
Neumann, Jane1, 2, 3, Author              
Schroeter, Matthias L.1, 4, Author              
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Integrated Research and Treatment Center Adiposity Diseases, University of Leipzig, Germany, ou_persistent22              
3Department of Medical Engineering and Biotechnology, University of Applied Science, Jena, Germany, ou_persistent22              
4Clinic of Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              

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Free keywords: Parkinson's disease; Meta-analysis; MRI; FDG-PET; DTI
 Abstract: Recently, revised diagnostic criteria for Parkinson's disease (PD) were introduced (Postuma et al., 2015). Yet, except for well-established dopaminergic imaging, validated imaging biomarkers for PD are still missing, though they could improve diagnostic accuracy. We conducted systematic meta-analyses to identify PD-specific markers in whole-brain structural magnetic resonance imaging (MRI), [18F]-fluorodeoxyglucose-positron emission tomography (FDG-PET) and diffusion tensor imaging (DTI) studies. Overall, 74 studies were identified including 2323 patients and 1767 healthy controls. Studies were first grouped according to imaging modalities (MRI 50; PET 14; DTI 10) and then into subcohorts based on clinical phenotypes. To ensure reliable results, we combined established meta-analytical algorithms - anatomical likelihood estimation and seed-based D mapping - and cross-validated them in a conjunction analysis. Glucose hypometabolism was found using FDG-PET extensively in bilateral inferior parietal cortex and left caudate nucleus with both meta-analytic methods. This hypometabolism pattern was confirmed in subcohort analyses and related to cognitive deficits (inferior parietal cortex) and motor symptoms (caudate nucleus). Structural MRI showed only small focal gray matter atrophy in the middle occipital gyrus that was not confirmed in subcohort analyses. DTI revealed fractional anisotropy reductions in the cingulate bundle near the orbital and anterior cingulate gyri in PD. Our results suggest that FDG-PET reliably identifies consistent functional brain abnormalities in PD, whereas structural MRI and DTI show only focal alterations and rather inconsistent results. In conclusion, FDG-PET hypometabolism outperforms structural MRI in PD, although both imaging methods do not offer disease-specific imaging biomarkers for PD.

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Language(s): eng - English
 Dates: 2018-11-012018-04-252018-11-102018-11-15
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.nicl.2018.11.004
PMID: 30514656
PII: S2213-1582(18)30342-5
Other: Epub ahead of print
 Degree: -

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Project name : -
Grant ID : PDF-IRG-1307
Funding program : -
Funding organization : Parkinson's Disease Foundation
Project name : -
Grant ID : MJFF-11362
Funding program : -
Funding organization : Michael J. Fox Foundation
Project name : German Consortium for Frontotemporal Lobar Degeneration
Grant ID : 01GI1007A
Funding program : -
Funding organization : German Federal Ministry of Education and Research (BMBF)
Project name : -
Grant ID : SCHR 774/5-1
Funding program : -
Funding organization : German Research Foundation (DFG)
Project name : -
Grant ID : -
Funding program : -
Funding organization : International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity (IMPRS NeuroCom)
Project name : -
Grant ID : 01EO1001
Funding program : -
Funding organization : German Federal Ministry of Education and Research (BMBF)

Source 1

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Title: NeuroImage: Clinical
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Elsevier
Pages: - Volume / Issue: 21 Sequence Number: 101594 Start / End Page: - Identifier: ISSN: 2213-1582
CoNE: https://pure.mpg.de/cone/journals/resource/2213-1582