Hyposmia in Parkinson’s disease; exploring selective odour loss

Smell loss is a frequent and early manifestation of Parkinson's disease (PD), serving as a sensitive - albeit nonspecific - clinical biomarker<sup>1</sup>. The notion that PD causes odour-selective hyposmia has been debated for three decades. Previous studies have used healthy controls as the comparator; this is problematic given the majority presumably display normal olfactory function. Using University of Pennsylvania Smell Identification Test data from the Parkinson's Progression Markers Initiative, we trained eight machine learning models to distinguish 'PD hyposmia' (n = 155) from 'non-PD hyposmia' (n = 155). The best-performing models were evaluated on an independent validation cohort. While specific responses (e.g. mistaking pizza for bubble gum) were impactful across models, at best only 63% of PD cases were correctly identified. Given we used a balanced data set, 50% accuracy would be achieved by random guessing. This suggests that PD-related hyposmia does not exhibit a unique pattern of odour selectivity distinct from general hyposmia.

Authors

Institutions

Publication Details

Journal
npj Parkinson s Disease
Published
2025-04-04
DOI
https://doi.org/10.1038/s41531-025-00922-3
Citations
6
Primary Topic
Olfactory and Sensory Function Studies
Type
article
Field-Weighted Citation Impact
8.79

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hyposmia in Parkinson’s disease; exploring selective odour loss

Cristina Simonet, Christian Mattjie, Eleanor Mitchell, Rodrigo C. Barros et al.
6 citations
npj Parkinson s Disease
Olfactory and Sensory Function Studies
8.79
article

Hyposmia in Parkinson’s disease; exploring selective odour loss

Cristina Simonet, Christian Mattjie, Eleanor Mitchell, Rodrigo C. Barros, Alastair John Noyce, Artur Francisco Schumacher Schuh, Jonathan P. Bestwick
article en
6 citations

Abstract

Smell loss is a frequent and early manifestation of Parkinson's disease (PD), serving as a sensitive - albeit nonspecific - clinical biomarker<sup>1</sup>. The notion that PD causes odour-selective hyposmia has been debated for three decades. Previous studies have used healthy controls as the comparator; this is problematic given the majority presumably display normal olfactory function. Using University of Pennsylvania Smell Identification Test data from the Parkinson's Progression Markers Initiative, we trained eight machine learning models to distinguish 'PD hyposmia' (n = 155) from 'non-PD hyposmia' (n = 155). The best-performing models were evaluated on an independent validation cohort. While specific responses (e.g. mistaking pizza for bubble gum) were impactful across models, at best only 63% of PD cases were correctly identified. Given we used a balanced data set, 50% accuracy would be achieved by random guessing. This suggests that PD-related hyposmia does not exhibit a unique pattern of odour selectivity distinct from general hyposmia.

npj Parkinson s DiseaseVol. 11(1)
Universidade Federal do Rio Grande do Sul (BR), Queen Mary University of London (GB), Hospital de Clínicas de Porto Alegre (BR), Pontifícia Universidade Católica do Rio Grande do Sul (BR)
Bristol-Myers Squibb, Eli Lilly and Company, Pfizer, Sanofi, Biogen, Teva Pharmaceutical Industries, Celgene, Jazz Pharmaceuticals, Neurocrine Biosciences, Verily Life Sciences, Voyager Therapeutics, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Servier, H. Lundbeck A/S, Sun Pharma, Genentech, Allergan, Avid Radiopharmaceuticals
Openalex Percentile: Top 2%
Olfactory and Sensory Function Studies
8.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.