TY - JOUR
AU - Alexander Shapson-Coe
AU - Michał Januszewski
AU - Daniel R. Berger
AU - Art Pope
AU - Yuelong Wu
AU - Tim Blakely
AU - Richard L. Schalek
AU - Peter H. Li
AU - Shuohong Wang
AU - Jeremy Maitin-Shepard
AU - Neha Karlupia
AU - Sven Dorkenwald
AU - Evelina Sjostedt
AU - Laramie Leavitt
AU - Dongil Lee
AU - Jakob Troidl
AU - Forrest Collman
AU - Luke Bailey
AU - Angerica Fitzmaurice
AU - Rohin Kar
AU - Benjamin Field
AU - Hank Wu
AU - Julian Wagner-Carena
AU - David Aley
AU - Joanna Lau
AU - Zudi Lin
AU - Donglai Wei
AU - Hanspeter Pfister
AU - Adi Peleg
AU - Viren Jain
AU - Jeff W. Lichtman
AB - 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 were the most common cell, deep layer excitatory neurons could be classified on the basis of dendritic orientation, and among thousands of weak connections to each neuron, there exist rare powerful axonal inputs of up to 50 synapses. Further studies using this resource may bring valuable insights into the mysteries of the human brain.
BT - Science
DA - 2024-05-10
DO - 10.1126/science.adk4858
IS - 6696
N2 - 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 were the most common cell, deep layer excitatory neurons could be classified on the basis of dendritic orientation, and among thousands of weak connections to each neuron, there exist rare powerful axonal inputs of up to 50 synapses. Further studies using this resource may bring valuable insights into the mysteries of the human brain.
PY - 2024
EP - eadk4858
T2 - Science
TI - A petavoxel fragment of human cerebral cortex reconstructed at nanoscale resolution
UR - https://www.science.org/doi/10.1126/science.adk4858
VL - 384
Y2 - 2024-08-13
ER -