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Updated: May 2, 2026

A Free-breathing fMRI Method to Study Human Olfactory Function
Published on: July 30, 2017
The olfactory functional network in the Alzheimer's disease continuum: a resting state fMRI study
Daniela Ballotta1, Claudia Casadio1, Manuela Tondelli1,2
1Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Introduction:
Olfactory dysfunction is common in the Alzheimer's Disease continuum, and olfaction may be altered before clinical syndrome onset. The present study aimed at investigating the functional connectivity of the olfactory cortex and its correlation with olfaction performance in a group of patients with Mild Cognitive Impairment (MCI) who subsequently converted or not converted to Alzheimer's Disease (AD) dementia.
Methods:
At baseline, 30 MCI patients were evaluated with the Sniffin' Sticks (threshold, discrimination, and identification) to assess olfactory capacities, and they were followed up over time to identify converter and stable patients. Resting-state fMRI data acquired at baseline were analyzed to assess functional connectivity of left and right olfactory cortex. Beta values were extracted from the stable versus converter contrasts and correlated with olfactory scores.
Results:
Functional connectivity of the olfactory cortex was significantly increased with the posterior cingulate cortex, and significantly decreased with middle cingulate cortex, supplementary motor area, and left pre- and postcentral gyri, in converter compared to stable patients. Reduced negative functional connectivity between olfactory cortex and left angular gyrus emerged in converter patients, and a negative correlation was found between angular gyrus and discrimination scores.
Discussion:
Our findings indicate alterations of functional connectivity of the olfactory cortex in subjects with MCI at risk of conversion to AD dementia, even at the early stages of the disease. Additionally, the negative correlation between olfactory ability and the angular gyrus functional connectivity, a cerebral region known to be involved in multisensory integration processing, may be considered as a marker of disease progression.
Insights
Olfactory dysfunction in Mild Cognitive Impairment (MCI) patients predicts Alzheimer's Disease (AD) dementia progression. Altered olfactory cortex functional connectivity, particularly with the angular gyrus, correlates with olfactory performance and indicates disease advancement.
Area of Science:
- Neuroscience
- Neurology
- Medical Imaging
Background:
- Olfactory dysfunction is an early indicator in the Alzheimer's Disease (AD) continuum.
- Changes in olfaction can precede clinical symptoms of AD dementia.
- Mild Cognitive Impairment (MCI) represents a transitional stage with varying progression rates to AD.
Purpose of the Study:
- To investigate olfactory cortex functional connectivity in MCI patients.
- To correlate functional connectivity with olfactory performance.
- To identify predictors of conversion from MCI to AD dementia.
Main Methods:
- Assessed olfactory capacities using Sniffin' Sticks in 30 MCI patients.
- Utilized resting-state functional magnetic resonance imaging (fMRI) to analyze olfactory cortex connectivity.
- Correlated functional connectivity data with olfactory test scores and clinical follow-up (conversion to AD).
Main Results:
- Converter patients showed increased olfactory cortex connectivity with the posterior cingulate cortex.
- Converter patients exhibited decreased connectivity with the middle cingulate cortex, supplementary motor area, and left pre/postcentral gyri.
- Reduced negative functional connectivity between the olfactory cortex and left angular gyrus was observed in converters, correlating negatively with olfactory discrimination scores.
Conclusions:
- Functional connectivity alterations in the olfactory cortex are present in MCI patients at risk for AD.
- The olfactory cortex's connectivity patterns can serve as early markers for AD progression.
- Olfactory performance and angular gyrus connectivity may indicate the trajectory of neurodegenerative disease.
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