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How does receptor expression vary across the cortex? We measured the density of 14 receptor types across 109 areas of macaque cortex. We found a principal gradient of receptor expression that increased along the cortical hierarchy. https://www.biorxiv.org/content/10.1101/2021.02.22.432173v1 …pic.twitter.com/1OljMlqEgY
We brought the receptor data and data on cellular connectivity, neuron density, dendritic spine count, dendritic tree size, myelin, functional connectivity (fMRI) and gene expression into a common cortical space.pic.twitter.com/UxKCjr46EZ
Receptor expression increased (4x) along the principal receptor gradient, and neurons at the top of the gradient had bigger dendrites (perhaps to house the extra receptors).pic.twitter.com/fnkjj5MLuZ
Myelin density was inversely related to receptor density across cortical areas and layers, consistent with a theorised role of myelin in inhibiting new connectionspic.twitter.com/gQqDLzlNTx
We used @TingsterX 's awesome cross-species functional alignment to map human cognitive networks and gene expression to macaque cortexhttps://twitter.com/TingsterX/status/1307371378358784000 …
The principal receptor gradient clearly separated sensory networks from higher cognitive networks (from fMRI data). Putting it together with the above, this suggests that neurons in higher cognitive networks contain more receptors than sensory neurons.pic.twitter.com/jpZ8f94yi0
We think this may enable rapid, reliable information processing in sensory cortical areas and slow, flexible integration of information in higher cognitive areas.pic.twitter.com/joNhUeNTIw
The secondary receptor gradient separated higher cognitive networks - with the default-mode network and and the dorsal attention network at opposite ends. This was mostly driven by differences in serotonin 5HT1A receptor expression.pic.twitter.com/htyW7cnK8t
Human serotonin 5-HT1A gene and receptor expression closely matched macaque receptor expression. Rat cortex was also (kind of) similar, but less so. This may have significance for animal models of depression (as antidepressants target this receptor)pic.twitter.com/ggSWnxkCA1
This is part of a very enjoyable collaboration with @TingsterX @NiuMeiqi , Lucija Rapan, @Neuro_Conn (Daniel Margulies), Karl Zilles, @xjwanglab and Nicola Palomero-Gallagher. Would love to hear your thoughts!
Beautiful work! Any interest in presenting the preprint at my lab meeting some time?
Thanks Mac. Sounds great. Would be happy to. If you send me an email we can arrange it.
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