Gast ::
| Hauptseite > Publikationsdatenbank > Chronic, cortex-wide imaging of specific cell populations during behavior > print |
| Hauptseite > Publikationsdatenbank > Chronic, cortex-wide imaging of specific cell populations during behavior > print |
| 001 | 893737 | ||
| 005 | 20210810182032.0 | ||
| 024 | 7 | _ | |a 10.1038/s41596-021-00527-z |2 doi |
| 024 | 7 | _ | |a 1750-2799 |2 ISSN |
| 024 | 7 | _ | |a 1754-2189 |2 ISSN |
| 024 | 7 | _ | |a 2128/28073 |2 Handle |
| 024 | 7 | _ | |a altmetric:106899175 |2 altmetric |
| 024 | 7 | _ | |a 34075229 |2 pmid |
| 024 | 7 | _ | |a WOS:000656804600002 |2 WOS |
| 037 | _ | _ | |a FZJ-2021-02792 |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Couto, Joao |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a Chronic, cortex-wide imaging of specific cell populations during behavior |
| 260 | _ | _ | |a Basingstoke |c 2021 |b Nature Publishing Group |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1625902333_30350 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Measurements of neuronal activity across brain areas are important for understanding the neural correlates of cognitive and motor processes such as attention, decision-making and action selection. However, techniques that allow cellular resolution measurements are expensive and require a high degree of technical expertise, which limits their broad use. Wide-field imaging of genetically encoded indicators is a high-throughput, cost-effective and flexible approach to measure activity of specific cell populations with high temporal resolution and a cortex-wide field of view. Here we outline our protocol for assembling a wide-field macroscope setup, performing surgery to prepare the intact skull and imaging neural activity chronically in behaving, transgenic mice. Further, we highlight a processing pipeline that leverages novel, cloud-based methods to analyze large-scale imaging datasets. The protocol targets laboratories that are seeking to build macroscopes, optimize surgical procedures for long-term chronic imaging and/or analyze cortex-wide neuronal recordings. The entire protocol, including steps for assembly and calibration of the macroscope, surgical preparation, imaging and data analysis, requires a total of 8 h. It is designed to be accessible to laboratories with limited expertise in imaging methods or interest in high-throughput imaging during behavior. |
| 536 | _ | _ | |a 5231 - Neuroscientific Foundations (POF4-523) |0 G:(DE-HGF)POF4-5231 |c POF4-523 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
| 700 | 1 | _ | |a Musall, Simon |0 P:(DE-Juel1)175146 |b 1 |u fzj |
| 700 | 1 | _ | |a Sun, Xiaonan R. |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Khanal, Anup |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Gluf, Steven |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Saxena, Shreya |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Kinsella, Ian |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Abe, Taiga |0 P:(DE-HGF)0 |b 7 |
| 700 | 1 | _ | |a Cunningham, John P. |0 P:(DE-HGF)0 |b 8 |
| 700 | 1 | _ | |a Paninski, Liam |0 P:(DE-HGF)0 |b 9 |
| 700 | 1 | _ | |a Churchland, 9and Anne K. |0 P:(DE-HGF)0 |b 10 |e Corresponding author |
| 773 | _ | _ | |a 10.1038/s41596-021-00527-z |0 PERI:(DE-600)2244966-8 |p 3241–3263 |t Nature protocols |v 16 |y 2021 |x 1750-2799 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/893737/files/s41596-021-00527-z.pdf |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/893737/files/2010.15191.pdf |
| 909 | C | O | |o oai:juser.fz-juelich.de:893737 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)175146 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-523 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Neuromorphic Computing and Network Dynamics |9 G:(DE-HGF)POF4-5231 |x 0 |
| 914 | 1 | _ | |y 2021 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2021-02-03 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2021-02-03 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b NAT PROTOC : 2019 |d 2021-02-03 |
| 915 | _ | _ | |a IF >= 10 |0 StatID:(DE-HGF)9910 |2 StatID |b NAT PROTOC : 2019 |d 2021-02-03 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2021-02-03 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2021-02-03 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2021-02-03 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2021-02-03 |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2021-02-03 |w ger |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2021-02-03 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)IBI-3-20200312 |k IBI-3 |l Bioelektronik |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)IBI-3-20200312 |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|