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@INPROCEEDINGS{Niu:1018408,
author = {Niu, Meiqi and Froudist-Walsh, Seán and Xu, Ting and
Rapan, Lucija and Zhao, Ling and Funck, Thomas and Amunts,
Katrin and Palomero-Gallagher, Nicola},
title = {{R}elationship between receptor covariance and functional
connectivity in macaque somatosensory areas},
reportid = {FZJ-2023-04789},
year = {2023},
abstract = {Introduction:Sensory information is processed in a
hierarchical way across different areas of the somatosensory
cortex. In primates, the sensory signal first arrives at the
primary somatosensory cortex (SI), and then at the secondary
somatosensory cortex (SII), finally at the association
cortex, which consists of areas that are located on the
superior (SPL), inferior parietal lobes (IPL), and
intraparietal sulcus (ips). Neurotransmitter receptors are a
key element of information processing. To understand how
somatosensory information is processed between brain areas,
we analyzed the multiple receptor covariance (RC) patterns
of distinct somatosensory areas. Furthermore, we examined
functional connectivity (FC) patterns of each area and
explore the shared and specific characteristics between RC
and FC.Methods:In the present study, we defined 118 areas
throughout the macaque brain, 36 of which are
somatosensory-related areas located within SI, SII, and
parietal association areas. The densities of 14 different
receptors in each of the 118 areas had been quantified by
means of in vitro receptor autoradiography. To construct the
RC of each somatosensory-related area with the remaining
areas across the cortex, we calculated a representative
feature vector consisting of 14 receptor densities for each
area. Statistical similarity between two areas was measured
by computing the Pearson correlation. Furthermore, we
reconstructed the resting-state FC of the somatosensory
cortex using fMRI data from the PRIME-DE dataset. A
principal components analysis was performed on the BOLD
activity time courses across all vertices within each area,
where the first principal component was taken as the
representative activity time course for this area. The
representative time courses were subsequently correlated
with the activity time courses for each vertex across the
brain.Results:RC patterns are similar for areas that are 1)
anatomically adjacent to each other; or 2) at the same level
of hierarchical organization. All SI areas showed consistent
correlations with caudal SII, rostral and ventral ips,
rostral IPL and higher visual areas. SII areas displayed
stronger correlations with rostroventral IPL and cingulate
areas, but relatively weaker correlations with ips and
visual areas. Regarding SPL, there is a clear segregation
between areas located on the lateral surface and the areas
located within the cingulate sulcus. Within IPL and ips, the
RC patterns changed gradually from rostral to caudal. As in
RC patterns, the strongest FC was found between neighbouring
areas. Likewise, early and higher sensory areas could also
be separated by their FC patterns. The FC and RC also have
some differences. For example, FC patterns of SI show more
consistent connections to the primary motor cortex instead
of to higher visual areas.Conclusions:Our results show that
areas belonging to SI, SII or the somatosensory association
cortex have distinct connectivity patterns in both RC and
FC. Furthermore, despite comparable features, there are also
important differences between the RC and FC of the
somatosensory cortex. More broadly, our findings provide a
link between the chemoarchitectonic and functional
organization of the macaque somatosensory cortex and thus a
novel direction for a multiscale understanding of brain
structure and function.},
month = {Oct},
date = {2023-10-04},
organization = {7th BigBrain Workshop, Reykjavík
(Iceland), 4 Oct 2023 - 6 Oct 2023},
subtyp = {After Call},
cin = {INM-1},
cid = {I:(DE-Juel1)INM-1-20090406},
pnm = {5251 - Multilevel Brain Organization and Variability
(POF4-525) / 5254 - Neuroscientific Data Analytics and AI
(POF4-525) / HIBALL - Helmholtz International BigBrain
Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)
/ HBP SGA3 - Human Brain Project Specific Grant Agreement 3
(945539)},
pid = {G:(DE-HGF)POF4-5251 / G:(DE-HGF)POF4-5254 /
G:(DE-HGF)InterLabs-0015 / G:(EU-Grant)945539},
typ = {PUB:(DE-HGF)6},
url = {https://juser.fz-juelich.de/record/1018408},
}