Evidence map›Paper›PMID 41918768›Full record

ArticleImaging neuroscience (Cambridge, Mass.)

Structural connectivity of the human olfactory network and its relation to aging and olfactory function.

Xin Li, Jonas Olofsson, Jonas Persson

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Xin LiAging Research Center, Karolinska Institute and Stockholm University, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-6755-9907
Jonas OlofssonDepartment of Psychology, Stockholm University, Stockholm, Sweden.
Jonas PerssonAging Research Center, Karolinska Institute and Stockholm University, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Impaired olfactory function in older adults is associated with memory decline and is a biomarker of Alzheimer's disease (AD). However, the structural brain foundation underlying olfactory impairment and its link to memory function remains largely unknown. We address this gap by reconstructing the structural olfactory network, that is, white-matter connections between the primary olfactory cortex (POC) and the whole brain. Through applying multivariate analyses in a population-based sample (n = 137), we investigate the relationships among age, the olfactory network, and olfactory and cognitive function. Our findings reveal that the POC subregions have distinct structural connectivity profiles with the entire brain. Older age was associated with weaker connectivity strength between the POC and nearby regions, suggesting a reorganization of the olfactory network in older adults. Structural connectivity of the olfactory network was associated with behavioral performance in odor identification, episodic memory, and odor threshold, but not processing speed or working memory. Notably, connections including the olfactory tubercle (TUB)-caudate, TUB-amygdala, and olfactory nucleus (AON)-hippocampus were important for both olfaction and episodic memory function, suggesting a common neural basis across cognitive domains. Our study expands on previous research of single brain regions or individual white-matter tracts, uncovering the structural underpinnings of olfactory function at the network level. The results shed light on the common foundation of olfaction and memory dysfunction, an early marker of AD.

Indexed as

agingdiffusion weighted imagingepisodic memoryolfactionprimary olfactory cortexstructural connectivity

Identifiers

PMID41918768
PMCPMC13034614

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Registered trials

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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.