2019
DOI: 10.7554/elife.47177
|View full text |Cite
|
Sign up to set email alerts
|

Characterizing functional pathways of the human olfactory system

Abstract: The central processing pathways of the human olfactory system are not fully understood. The olfactory bulb projects directly to a number of cortical brain structures, but the distinct networks formed by projections from each of these structures to the rest of the brain have not been well-defined. Here, we used functional magnetic resonance imaging and k-means clustering to parcellate human primary olfactory cortex into clusters based on whole-brain functional connectivity patterns. Resulting clusters accuratel… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

8
121
0
2

Year Published

2019
2019
2024
2024

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 147 publications
(131 citation statements)
references
References 186 publications
(236 reference statements)
8
121
0
2
Order By: Relevance
“…First, the functional connectivity within the olfactory network, as defined by core olfactory processing regions (Seubert et al 2013), was assessed and compared between groups. Thereafter, a more specific analysis of primary olfactory cortex, defined as the regions receiving direct input from the olfactory bulb (Zhou et al 2019), was conducted, in which homotopic connectivity and regional homogeneity was compared between groups. Analyses were conducted in MATLAB 2019b.…”
Section: Functional Connectivity Analysesmentioning
confidence: 99%
“…First, the functional connectivity within the olfactory network, as defined by core olfactory processing regions (Seubert et al 2013), was assessed and compared between groups. Thereafter, a more specific analysis of primary olfactory cortex, defined as the regions receiving direct input from the olfactory bulb (Zhou et al 2019), was conducted, in which homotopic connectivity and regional homogeneity was compared between groups. Analyses were conducted in MATLAB 2019b.…”
Section: Functional Connectivity Analysesmentioning
confidence: 99%
“…Therefore, the sensory consequences of an odor are integrated with the ongoing high-order cognitive activity. From a neural view point, the olfactory networks still remain largely unexplored despite strong evidence of their involvement in the activation of a network of brain areas typically responsible for high-order processes (Zhou et al 2019). Similarly, the auditory system presents characteristics that predominate other senses (Aglioti & Pazzaglia 2010), with sounds helping to establish a state of alertness, predict upcoming events, and trigger anticipatory representations (Aglioti & Pazzaglia 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Due to signal susceptibility at the tissue-air conjunction, we observed considerable signal dropout in the left hemisphere at the bottom of the frontal lobe and the fronto-temporal junction, affecting key regions of interest (in the posterior OFC and APC). In light of predominantly ipsilateral olfactory pathways (Shipley and Ennis, 1996) and similar functional connectivity between the hemispheres (Zhou et al, 2019), we confined our olfactory network analysis to the right hemisphere where fMRI signals at the susceptible areas were well preserved. Table 1 shows centroid coordinates, sizes, and mean correlation coefficients (among the ROIs and among the whole brain) for all ROIs.…”
Section: Regions Of Interestmentioning
confidence: 99%
“…The largely subcortical composition of the olfactory system, with many loci at the air-tissue interface, has presented a serious challenge to olfactory network identification, especially for unguided, whole-brain rs-fMRI connectivity analysis. However, important insights into the olfactory network have been gained by targeting olfactory regions of interest (ROIs) (Plailly et al, 2008;Krusemark and Li, 2012;Krusemark et al, 2013;Sunwoo et al, 2015;Kollndorfer et al, 2015;Novak et al, 2015;Karunanayaka et al, 2017;Milardi et al, 2017;Fjaeldstad et al, 2017;Cecchetto et al, 2019), especially in combination with network-science analysis (Meunier et al, 2014;Royet et al, 2011;Ripp et al, 2018;Zhou et al, 2019). The olfactory ROIs are fairly reliably identified, but inconsistencies in network composition and connections also abound in this literature (Fjaeldstad et al, 2017;Cecchetto et al, 2019).…”
Section: Introductionmentioning
confidence: 99%