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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},
}