Abnormal pattern of brain glucose metabolism in Parkinson’s disease: replication in three European cohorts

Rationale In Parkinson’s disease (PD), spatial covariance analysis of 18F-FDG PET data has consistently revealed a characteristic PD-related brain pattern (PDRP). By quantifying PDRP expression on a scan-by-scan basis, this technique allows objective assessment of disease activity in individual subjects. We provide a further validation of the PDRP by applying spatial covariance analysis to PD cohorts from the Netherlands (NL), Italy (IT), and Spain (SP). Methods The $ PDRP_{NL} $ was previously identified (17 controls, 19 PD) and its expression was determined in 19 healthy controls and 20 PD patients from the Netherlands. The $ PDRP_{IT} $ was identified in 20 controls and 20 “de-novo” PD patients from an Italian cohort. A further 24 controls and 18 “de-novo” Italian patients were used for validation. The $ PDRP_{SP} $ was identified in 19 controls and 19 PD patients from a Spanish cohort with late-stage PD. Thirty Spanish PD patients were used for validation. Patterns of the three centers were visually compared and then cross-validated. Furthermore, PDRP expression was determined in 8 patients with multiple system atrophy. Results A PDRP could be identified in each cohort. Each PDRP was characterized by relative hypermetabolism in the thalamus, putamen/pallidum, pons, cerebellum, and motor cortex. These changes co-varied with variable degrees of hypometabolism in posterior parietal, occipital, and frontal cortices. Frontal hypometabolism was less pronounced in “de-novo” PD subjects (Italian cohort). Occipital hypometabolism was more pronounced in late-stage PD subjects (Spanish cohort). $ PDRP_{IT} $, $ PDRP_{NL} $, and $ PDRP_{SP} $ were significantly expressed in PD patients compared with controls in validation cohorts from the same center (P < 0.0001), and maintained significance on cross-validation (P < 0.005). PDRP expression was absent in MSA. Conclusion The PDRP is a reproducible disease characteristic across PD populations and scanning platforms globally. Further study is needed to identify the topography of specific PD subtypes, and to identify and correct for center-specific effects..

Medienart:

Artikel

Erscheinungsjahr:

2019

Erschienen:

2019

Enthalten in:

Zur Gesamtaufnahme - volume:47

Enthalten in:

European journal of nuclear medicine & molecular imaging - 47(2019), 2 vom: 25. Nov., Seite 437-450

Sprache:

Englisch

Beteiligte Personen:

Meles, Sanne K. [VerfasserIn]
Renken, Remco J. [VerfasserIn]
Pagani, Marco [VerfasserIn]
Teune, L. K. [VerfasserIn]
Arnaldi, Dario [VerfasserIn]
Morbelli, Silvia [VerfasserIn]
Nobili, Flavio [VerfasserIn]
van Laar, Teus [VerfasserIn]
Obeso, Jose A. [VerfasserIn]
Rodríguez-Oroz, Maria C. [VerfasserIn]
Leenders, Klaus L. [VerfasserIn]

Links:

Volltext [lizenzpflichtig]

Themen:

F-FDG PET
Metabolic pattern
Networks
Parkinson’s disease

Anmerkungen:

© The Author(s) 2019

doi:

10.1007/s00259-019-04570-7

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

OLC2041178205