Cerebral chemoarchitecture shares organizational traits with brain structure and function
- Institute of Neuroscience and Medicine, Brain and Behaviour, Research Centre Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Germany
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Germany
- McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Canada
Figures
Figure 1 with 2 supplements
Organization of the cortical receptome.
(A) Analytic workflow of receptome generation and gradient decomposition. Node-level neurotransmitter receptor and transporter molecule (NTRM) fingerprints are derived from PET images of 19 …
Figure 1—figure supplement 1
Cortical receptome gradients.
(A) The first three chemoarchitectural similarity axes generated by principal component analysis (PCA). Spearman rank correlations to the respective gradients exceeds r > 0.99, indicating a high …
Figure 1—figure supplement 2
Robustness of receptome gradients.
Robustness of receptome gradient decomposition across different parcellation granularities. Left: RC G1, RC G2 and RC G3 (top-to-bottom) projected on the cortical surface. Middle: variance explained …
Figure 2 with 2 supplements
Organization of subcortical chemoarchitecture.
(A) Hierarchical agglomerative clustering of neurotransmitter receptor and transporter molecule (NTRM) densities in subcortical structures. aTHA: anterior thalamus; pTHA: posterior thalamus. (B) …
Figure 2—figure supplement 1
Subcortical receptome.
(A) MDS projection of cortico-subcortical similarity of chemoarchitectural composition. Subcortical nuclei are displayed in red, the cortex displayed in blue. The amygdala is encircled in black. (B) …
Figure 2—figure supplement 2
Robustness of agglomerative hierarchical clustering – subcortex.
Replication of agglomerative hierarchical clustering of average neurotransmitter receptor and transporter molecule (NTRM) densities in subcortical structures, using Euclidean distance and different …
Figure 3
Cortical receptome gradients in term-based functional activation and disorder.
(A) Cortical receptome gradients projected to the cortical surface. (B) Functional decoding of cortical receptome gradients. Wordclouds display positive and negative correlations of receptome …
Figure 4 with 2 supplements
Multimodal contextualization of the cortical receptome.
(A) Correlation strengths of cortical receptome gradients to functional connectivity (FC), structural connectivity (SC), microstructural profile covariance (MPC), and BigBrain gradients. Coloring is …
Figure 4—figure supplement 1
Contextualization of receptome gradients in hierarchical brain organization.
(A) Variance explained by gradient decomposition. Left: microstructural profile covariance (MPC); middle: functional connectivity (FC); right: structural connectivity (SC). (B) Distribution of RC G1 …
Figure 4—figure supplement 2
Robustness of agglomerative hierarchical clustering – cortex.
Replication of agglomerative hierarchical clustering of average neurotransmitter receptor and transporter molecule (NTRM) densities in functional networks, using Euclidean distance and different …
Additional files
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Supplementary file 1
Table S1.
Neurotransmitter receptors and transporters included in analyses. BPND, non-displaceable binding potential; VT, tracer distribution volume; Bmax, density (pmol/ml) converted from binding potential or distributional volume using autoradiography-derived densities; SUVR, standard uptake value ratio. Neurotransmitter receptor maps without citations refer to unpublished data. Table adapted from Hansen et al., 2022.
- https://cdn.elifesciences.org/articles/83843/elife-83843-supp1-v2.docx
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Supplementary file 2
Table S2A.
Replication of multimodal receptome gradient contextualization through correlation using a Schaefer granularity of 100 parcels.
- https://cdn.elifesciences.org/articles/83843/elife-83843-supp2-v2.xlsx
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Supplementary file 3
Table S2B.
Replication of multimodal receptome gradient contextualization through correlation using a Schaefer granularity of 200 parcels.
- https://cdn.elifesciences.org/articles/83843/elife-83843-supp3-v2.xlsx
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Supplementary file 4
Table S2C.
Replication of multimodal receptome gradient contextualization through correlation using a Schaefer granularity of 300 parcels.
- https://cdn.elifesciences.org/articles/83843/elife-83843-supp4-v2.xlsx
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Supplementary file 5
Table S2D.
Replication of multimodal receptome gradient contextualization through correlation using a Schaefer granularity of 400 parcels.
- https://cdn.elifesciences.org/articles/83843/elife-83843-supp5-v2.xlsx
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MDAR checklist
- https://cdn.elifesciences.org/articles/83843/elife-83843-mdarchecklist1-v2.pdf
