ArticleBrain sciences2023
Local Brain Network Alterations and Olfactory Impairment in Alzheimer's Disease: An fMRI and Graph-Based Study.
Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Energetic implications of fMRI-based nodal complex network metrics: a complex picture unfolds across diverse brain states.bioRxiv : the preprint server for biology · 2026Article
- A group based network analysis for Alzheimer's disease fMRI data.Scientific reports · 2025Article
- The olfactory functional network in the Alzheimer's disease continuum: a resting state fMRI study.Frontiers in aging neuroscience · 2025Article
- The brain network hub degeneration in Alzheimer's disease.Biophysics reports · 2024Article
- Olfactory dysfunction as potential biomarker in neurodegenerative diseases: a narrative review.Frontiers in neuroscience · 2024Review
- Identifying discriminative features of brain network for prediction of Alzheimer's disease using graph theory and machine learning.Frontiers in neuroinformatics · 2024Article
- Olfactory deficit: a potential functional marker across the Alzheimer's disease continuum.Frontiers in neuroscience · 2024Review
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Alzheimer's disease (AD) is associated with the abnormal connection of functional networks. Olfactory impairment occurs in early AD; therefore, exploring alterations in olfactory-related regions is useful for early AD diagnosis. We combined the graph theory of local brain network topology with olfactory performance to analyze the differences in AD brain network characteristics. A total of 23 patients with AD and 18 normal controls were recruited for resting-state functional magnetic resonance imaging (fMRI), clinical neuropsychological examinations and the University of Pennsylvania Smell Identification Test (UPSIT). Between-group differences in the topological properties of the local network were compared. Pearson correlations were explored based on differential brain regions and olfactory performance. Statistical analysis revealed a correlation of the degree of cognitive impairment with olfactory recognition function. Local node topological properties were significantly altered in many local brain regions in the AD group. The nodal clustering coefficients of the bilateral temporal pole: middle temporal gyrus (TPOmid), degree centrality of the left insula (INS.L), degree centrality of the right middle temporal gyrus (MTG.R), and betweenness centrality of the left middle temporal gyrus (MTG.L) were related to olfactory performance. Alterations in local topological properties combined with the olfactory impairment can allow early identification of abnormal olfactory-related regions, facilitating early AD screening.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.