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. 2024 Oct 18;34(10):bhae409. doi: 10.1093/cercor/bhae409

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© The Author(s) 2024. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Fig. 2 — Data and predictive connectomics. (A) Within-area connectivity blueprint (average number of synapses per pair of neurons). (B) Inter-areal connectivity based on DTI (number of streamlines); see Table 1 for acronyms. (C) Probability for inter-areal synapses in a given layer to be established on neurons with cell body in a given layer, estimated from human neuron morphologies. (D) Relation of neuron densities of source area B and target area A with laminar source pattern (fraction of supragranular labeled neurons, ) in macaque. (E) Predicted source pattern () in human. (F) Layer- and population-resolved mesoconnectome (number of synapses).

Inline graphic — Data and predictive connectomics. (A) Within-area connectivity blueprint (average number of synapses per pair of neurons). (B) Inter-areal connectivity based on DTI (number of streamlines); see Table 1 for acronyms. (C) Probability for inter-areal synapses in a given layer to be established on neurons with cell body in a given layer, estimated from human neuron morphologies. (D) Relation of neuron densities of source area B and target area A with laminar source pattern (fraction of supragranular labeled neurons, ) in macaque. (E) Predicted source pattern () in human. (F) Layer- and population-resolved mesoconnectome (number of synapses).