create our 117 larger regions ranges from 1 to 30 for all regions but the brain stem; in this latter region, we averaged over 100 of the original sampled points to obtain our summary. Table S1A shows how the original data were reduced to these 117 regions. In the gray matter, the summary regions contain between 1 and 30 of the original sampled locations. In contrast, due to the design of the acquisition, the brain stem summaries are based on 112 regions for brain 1 and 148 samples for 2. We refer to this as the set of reduced data. The voxel level connectivity data was also aggregated to 117 larger brain regions and the same weighted count approach was used to obtain a connectivity matrix that are comparable between the two brains. Hence, elements of this matrix measure connection density between reduced seed regions and the other 116 brain regions. Thus, finer-scale relationships between connectivity and gene expression cannot be estimated in these data. In this reduced set of brain regions, we also calculated representative connectivity measures on the IIT Human Brain Atlas (v.3) template. We refer to analysis of these 117 regions as the When needed for reduced approach. clarity, the analysis here and in the main manuscript of over 700 brain regions is referred to as the full approach. 1.2 Probe and gene selection We removed probes with no Entrez ID To keep only one probe per gene, we: Kept the most variable one if there were only two probes,
create our 117 larger regions ranges from 1 to 30 for all regions but the brain stem; in this latter region, we averaged over 100 of the original sampled points to obtain our summary. Table S1A shows how the original data were reduced to these 117 regions. In the gray matter, the summary regions contain between 1 and 30 of the original sampled locations. In contrast, due to the design of the acquisition, the brain stem summaries are based on 112 regions for brain 1 and 148 samples for 2. We refer to this as the reduced set of data. The voxel level connectivity data was also aggregated to 117 larger brain regions and the same weighted count approach was used to obtain a connectivity matrix that are comparable between the two brains. Hence, elements of this matrix measure connection density between reduced seed regions and the other 116 brain regions. Thus, finer-scale relationships between connectivity and gene expression cannot be estimated in these data. In this reduced set of brain regions, we also calculated representative connectivity measures on the IIT Human Brain Atlas (v.3) template. We refer to analysis of these 117 regions as the reduced approach. When needed for clarity, the analysis here and in the main manuscript of over 700 brain regions is referred to as the full approach. 1.2 Probe and gene selection We removed probes with no Entrez ID To keep only one probe per gene, we: Kept the most variable one if there were only two probes,
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