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Local connectivity and synaptic dynamics in mouse and human neocortex.

Authors :
Campagnola L
Seeman SC
Chartrand T
Kim L
Hoggarth A
Gamlin C
Ito S
Trinh J
Davoudian P
Radaelli C
Kim MH
Hage T
Braun T
Alfiler L
Andrade J
Bohn P
Dalley R
Henry A
Kebede S
Alice M
Sandman D
Williams G
Larsen R
Teeter C
Daigle TL
Berry K
Dotson N
Enstrom R
Gorham M
Hupp M
Dingman Lee S
Ngo K
Nicovich PR
Potekhina L
Ransford S
Gary A
Goldy J
McMillen D
Pham T
Tieu M
Siverts L
Walker M
Farrell C
Schroedter M
Slaughterbeck C
Cobb C
Ellenbogen R
Gwinn RP
Keene CD
Ko AL
Ojemann JG
Silbergeld DL
Carey D
Casper T
Crichton K
Clark M
Dee N
Ellingwood L
Gloe J
Kroll M
Sulc J
Tung H
Wadhwani K
Brouner K
Egdorf T
Maxwell M
McGraw M
Pom CA
Ruiz A
Bomben J
Feng D
Hejazinia N
Shi S
Szafer A
Wakeman W
Phillips J
Bernard A
Esposito L
D'Orazi FD
Sunkin S
Smith K
Tasic B
Arkhipov A
Sorensen S
Lein E
Koch C
Murphy G
Zeng H
Jarsky T
Source :
Science (New York, N.Y.) [Science] 2022 Mar 11; Vol. 375 (6585), pp. eabj5861. Date of Electronic Publication: 2022 Mar 11.
Publication Year :
2022

Abstract

We present a unique, extensive, and open synaptic physiology analysis platform and dataset. Through its application, we reveal principles that relate cell type to synaptic properties and intralaminar circuit organization in the mouse and human cortex. The dynamics of excitatory synapses align with the postsynaptic cell subclass, whereas inhibitory synapse dynamics partly align with presynaptic cell subclass but with considerable overlap. Synaptic properties are heterogeneous in most subclass-to-subclass connections. The two main axes of heterogeneity are strength and variability. Cell subclasses divide along the variability axis, whereas the strength axis accounts for substantial heterogeneity within the subclass. In the human cortex, excitatory-to-excitatory synaptic dynamics are distinct from those in the mouse cortex and vary with depth across layers 2 and 3.

Details

Language :
English
ISSN :
1095-9203
Volume :
375
Issue :
6585
Database :
MEDLINE
Journal :
Science (New York, N.Y.)
Publication Type :
Academic Journal
Accession number :
35271334
Full Text :
https://doi.org/10.1126/science.abj5861