Associations between in vitro, in vivo and in silico cell classes in mouse primary visual cortex.
Associations between in vitro, in vivo and in silico cell classes in mouse primary visual cortex.
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DOI:
10.1038/s41467-023-37844-8
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发表时间:
2023-04-24
影响因子:
16.6
通讯作者:
Anastassiou, Costas A.
中科院分区:
文献类型:
--
作者:
Wei, Yina;Nandi, Anirban;Jia, Xiaoxuan;Siegle, Joshua H.;Denman, Daniel;Lee, Soo Yeun;Buchin, Anatoly;Van Geit, Werner;Mosher, Clayton P.;Olsen, Shawn;Anastassiou, Costas A.
The brain consists of many cell classes yet in vivo electrophysiology recordings are typically unable to identify and monitor their activity in the behaving animal. Here, we employed a systematic approach to link cellular, multi-modal in vitro properties from experiments with in vivo recorded units via computational modeling and optotagging experiments. We found two one-channel and six multi-channel clusters in mouse visual cortex with distinct in vivo properties in terms of activity, cortical depth, and behavior. We used biophysical models to map the two one- and the six multi-channel clusters to specific in vitro classes with unique morphology, excitability and conductance properties that explain their distinct extracellular signatures and functional characteristics. These concepts were tested in ground-truth optotagging experiments with two inhibitory classes unveiling distinct in vivo properties. This multi-modal approach presents a powerful way to separate in vivo clusters and infer their cellular properties from first principles. Understanding functional role of different neuronal cell types is challenging. Here the authors associate multi-modal in vitro cell properties with in vivo physiology of mouse visual cortex.
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影响因子:
16.2
作者:
Chen G;Zhang Y;Li X;Zhao X;Ye Q;Lin Y;Tao HW;Rasch MJ;Zhang X
通讯作者:
Zhang X
影响因子:
9.8
作者:
Harris KD;Hochgerner H;Skene NG;Magno L;Katona L;Bengtsson Gonzales C;Somogyi P;Kessaris N;Linnarsson S;Hjerling-Leffler J
通讯作者:
Hjerling-Leffler J
DOI:
10.1038/nrn3241
发表时间:
2012-05-18
期刊:
Nature reviews. Neuroscience
影响因子:
--
作者:
Buzsáki G;Anastassiou CA;Koch C
通讯作者:
Koch C
影响因子:
25
作者:
Gouwens NW;Sorensen SA;Berg J;Lee C;Jarsky T;Ting J;Sunkin SM;Feng D;Anastassiou CA;Barkan E;Bickley K;Blesie N;Braun T;Brouner K;Budzillo A;Caldejon S;Casper T;Castelli D;Chong P;Crichton K;Cuhaciyan C;Daigle TL;Dalley R;Dee N;Desta T;Ding SL;Dingman S;Doperalski A;Dotson N;Egdorf T;Fisher M;de Frates RA;Garren E;Garwood M;Gary A;Gaudreault N;Godfrey K;Gorham M;Gu H;Habel C;Hadley K;Harrington J;Harris JA;Henry A;Hill D;Josephsen S;Kebede S;Kim L;Kroll M;Lee B;Lemon T;Link KE;Liu X;Long B;Mann R;McGraw M;Mihalas S;Mukora A;Murphy GJ;Ng L;Ngo K;Nguyen TN;Nicovich PR;Oldre A;Park D;Parry S;Perkins J;Potekhina L;Reid D;Robertson M;Sandman D;Schroedter M;Slaughterbeck C;Soler-Llavina G;Sulc J;Szafer A;Tasic B;Taskin N;Teeter C;Thatra N;Tung H;Wakeman W;Williams G;Young R;Zhou Z;Farrell C;Peng H;Hawrylycz MJ;Lein E;Ng L;Arkhipov A;Bernard A;Phillips JW;Zeng H;Koch C
通讯作者:
Koch C
影响因子:
64.5
作者:
Gouwens NW;Sorensen SA;Baftizadeh F;Budzillo A;Lee BR;Jarsky T;Alfiler L;Baker K;Barkan E;Berry K;Bertagnolli D;Bickley K;Bomben J;Braun T;Brouner K;Casper T;Crichton K;Daigle TL;Dalley R;de Frates RA;Dee N;Desta T;Lee SD;Dotson N;Egdorf T;Ellingwood L;Enstrom R;Esposito L;Farrell C;Feng D;Fong O;Gala R;Gamlin C;Gary A;Glandon A;Goldy J;Gorham M;Graybuck L;Gu H;Hadley K;Hawrylycz MJ;Henry AM;Hill D;Hupp M;Kebede S;Kim TK;Kim L;Kroll M;Lee C;Link KE;Mallory M;Mann R;Maxwell M;McGraw M;McMillen D;Mukora A;Ng L;Ng L;Ngo K;Nicovich PR;Oldre A;Park D;Peng H;Penn O;Pham T;Pom A;Popović Z;Potekhina L;Rajanbabu R;Ransford S;Reid D;Rimorin C;Robertson M;Ronellenfitch K;Ruiz A;Sandman D;Smith K;Sulc J;Sunkin SM;Szafer A;Tieu M;Torkelson A;Trinh J;Tung H;Wakeman W;Ward K;Williams G;Zhou Z;Ting JT;Arkhipov A;Sümbül U;Lein ES;Koch C;Yao Z;Tasic B;Berg J;Murphy GJ;Zeng H
通讯作者:
Zeng H