2024
DOI: 10.1126/science.adk4858
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A petavoxel fragment of human cerebral cortex reconstructed at nanoscale resolution

Alexander Shapson-Coe,
Michał Januszewski,
Daniel R. Berger
et al.

Abstract: To fully understand how the human brain works, knowledge of its structure at high resolution is needed. Presented here is a computationally intensive reconstruction of the ultrastructure of a cubic millimeter of human temporal cortex that was surgically removed to gain access to an underlying epileptic focus. It contains about 57,000 cells, about 230 millimeters of blood vessels, and about 150 million synapses and comprises 1.4 petabytes. Our analysis showed that glia outnumber neurons 2:1, oligodendrocytes we… Show more

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Cited by 72 publications
(4 citation statements)
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“…The neuronal density in human is approximately 0.1 x 10 5 to 0.5 x 10 5 neurons/mm 3 , which is substantially lower than in rodent (Gittins and Harrison, 2004; Gredal et al, 2000). A recent EM study reports that the percentage of neurons in human cortex is 40-65% in L2-L4 and 20-30% in L5-L6 (Shapson-Coe et al, 2024). A neuronal density of 0.2 x 10 5 neurons/mm 3 is reported for pig visual cortex, which is comparable to that of human (Cragg, 1967).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The neuronal density in human is approximately 0.1 x 10 5 to 0.5 x 10 5 neurons/mm 3 , which is substantially lower than in rodent (Gittins and Harrison, 2004; Gredal et al, 2000). A recent EM study reports that the percentage of neurons in human cortex is 40-65% in L2-L4 and 20-30% in L5-L6 (Shapson-Coe et al, 2024). A neuronal density of 0.2 x 10 5 neurons/mm 3 is reported for pig visual cortex, which is comparable to that of human (Cragg, 1967).…”
Section: Discussionmentioning
confidence: 99%
“…In our case the tools deliver a coarse layout of the vessel pattern but that requires a serious workover by trained examiners because e. g. thin vessel connections would have been missed. A similar note towards involving the best hightech available, the human retina and brain, has been given for working with automated serial reconstructions of EM images (Shapson-Coe et al, 2024; Wu et al, 2024).…”
Section: Methodsmentioning
confidence: 99%
“…For example, synapses in the neuropil are sometimes classified as excitatory or inhibitory on the basis of whether they synapse onto dendritic spines or shafts, respectively 21 , 22 , 44 , 45 , and they are annotated manually or using machine learning tools to train automated synapse classifiers to identify the pre- and postsynaptic component of each synapse (e.g., ref. 46 ). However, in our present study, the identification of synapses is based on the classical definition of synaptic contacts visualized at high resolution in serial sections.…”
Section: Discussionmentioning
confidence: 99%
“…Modern bidomain models [44], [45] could possibly resolve this issue. The next logical yet extremely challenging step is to analyze the much larger 1mm 3 MICrONS mouse brain sample [40], which includes a considerably better-developed axonal arbor and ~75,000 neuronal cells, and other very recent large brain samples [41]. This would require further improvement of the computational method.…”
Section: Other Limitations Of This Studymentioning
confidence: 99%