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  • IOS Press  (1)
  • Eidelberg, David  (1)
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  • IOS Press  (1)
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    In: Journal of Parkinson's Disease, IOS Press, Vol. 10, No. 4 ( 2020-10-27), p. 1737-1749
    Abstract: Background: Parkinson’s disease (PD) is characterized by brain metabolic networks, specifically associated with motor and cognitive manifestations. Few studies have investigated network changes in cerebral hemispheres ipsilateral and contralateral to the clinically more affected body side. Objective: We examined hemispheric network abnormalities and their relationship to striatal dopaminergic deficits in PD patients at different stages. Methods: 45 PD patients underwent dual-tracer positron emission tomography (PET) with 18F-fluorodeoxyglucose (FDG) and 18F-fluorodopa (FDOPA) in a high-resolution PET scanner. In all patients, we computed expression levels for the PD-related motor/cognition metabolic patterns (PDRP/PDCP) as well as putamen/caudate FDOPA uptake values in both hemispheres. Resulting hemispheric measures in the PD group were compared with corresponding healthy control values and assessed across disease stages. Results: Hemispheric PDRP and PDCP expression was significantly elevated contralateral and ipsilateral to the more affected body side in patients with unilateral symptoms (H & Y 1: p  〈  0.01) and in patients with bilateral limb involvement (H & Y 2-3: p  〈  0.001; H & Y 4: p  〈  0.003). Elevations in pattern expression were symmetrical at all disease stages. By contrast, FDOPA uptake in the caudate and putamen was reduced bilaterally (p  〈  0.002), with lower values on both sides at more advanced disease stages. Hemispheric uptake was asymmetrical in both striatal regions, with lower contralateral values at all disease stages. The magnitude of hemispheric uptake asymmetry was smaller with more advanced disease, reflecting greater change ipsilaterally. Conclusion: Symmetrical network expression in PD represents bilateral functional effects unrelated to nigrostriatal dopaminergic asymmetries.
    Type of Medium: Online Resource
    ISSN: 1877-7171 , 1877-718X
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2020
    detail.hit.zdb_id: 2599550-9
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