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Abstract #0310

Multiparametric imaging of dopaminergic, cholinergic and noradrenergic contribution in olfactory dysfunction in Parkinson’s disease

Jean-Baptiste Perot1, Audrey Fraysse1, Salim Ouarab2, Sana Rebbah3, François-Xavier Lejeune3, Emma Massy1, Rahul Gaurav1, Isabelle Arnulf1, Jean-Christophe Corvol4, Marie Vidailhet1, Nadya Pyatigorskaya1, Cécile Gallea1, and Stéphane Lehéricy1,2
1Paris Brain Institute – ICM, MOVIT team, Sorbonne Université, Inserm U1127, CNRS 7225, Hôpital Pitié-Salpêtriere, Paris, France, 2Paris Brain Institute – ICM, Centre de NeuroImagerie de Recherche – CENIR, Sorbonne Université, Inserm U1127, CNRS 7225, Hôpital Pitié-Salpêtriere, Paris, France, 3Paris Brain Institute – ICM, Data Analysis Core, Sorbonne Université, Inserm U1127, CNRS 7225, Hôpital Pitié-Salpêtriere, Paris, France, 4Paris Brain Institute – ICM, Centre d'Investigation Clinique (CIC), Sorbonne Université, Inserm U1127, CNRS 7225, Hôpital Pitié-Salpêtriere, Paris, France

Synopsis

Keywords: Parkinson's Disease, Parkinson's Disease

Motivation: Olfactory dysfunction is an early symptom of Parkinson’s disease (PD), involving impairments of cholinergic, dopaminergic, and noradrenergic networks. Patients with idiopathic REM sleep behavior disorder (iRBD), a prodromal phase of PD, are associated with anosmia and severe noradrenergic defects.

Goal(s): This study aimed to decipher the contribution of cholinergic, dopaminergic, and noradrenergic alterations in olfactory impairments in the presence or absence of RBD.

Approach: Multiparametric imaging highlighted specific alterations of the Locus Coeruleus (LC) and Nucleus Basalis of Meynert that correlated with olfactory score

Results: Alterations were modulated by the presence of RBD, suggesting specific progression pattern.

Impact: Our results show that olfactory dysfunction originates from different altered subcortical nodes in Parkinson’s disease patients depending on the presence of sleep disorder. This suggests that patients with sleep disorder display different progression pattern of Parkinson’s disease.

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Keywords