Integrating operant behavior and fiber photometry with the open-source python library Pyfiber
| dc.rights.license | open | en_US |
| hal.structure.identifier | Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB] | |
| dc.contributor.author | CONLISK, Dana | |
| hal.structure.identifier | Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB] | |
| dc.contributor.author | CEAU, Matias | |
| hal.structure.identifier | Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB] | |
| dc.contributor.author | FIANCETTE, Jean-François | |
| hal.structure.identifier | Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB] | |
| dc.contributor.author | WINKE, Nanci | |
| hal.structure.identifier | Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB] | |
| dc.contributor.author | DARMAGNAC, Elise | |
| hal.structure.identifier | Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB] | |
| dc.contributor.author | HERRY, Cyril | |
| hal.structure.identifier | Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB] | |
| dc.contributor.author | DEROCHE-GAMONET, Veronique
IDREF: 119544008 | |
| dc.date.accessioned | 2023-10-13T11:38:54Z | |
| dc.date.available | 2023-10-13T11:38:54Z | |
| dc.date.issued | 2023-10-02 | |
| dc.identifier.issn | 2045-2322 | en_US |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/184405 | |
| dc.description.abstractEn | Despite the popularity of fiber photometry (FP), its integration with operant behavior paradigms is progressing slowly. This can be attributed to the complex protocols in operant behavior - resulting in a combination of diverse non-predictable behavioral responses and scheduled events, thereby complicating data analysis. To overcome this, we developed Pyfiber, an open-source python library which facilitates the merge of FP with operant behavior by relating changes in fluorescent signals within a neuronal population to behavioral responses and events. Pyfiber helps to 1. Extract events and responses that occur in operant behavior, 2. Extract and process the FP signals, 3. Select events of interest and align them to the corresponding FP signals, 4. Apply appropriate signal normalization and analysis according to the type of events, 5. Run analysis on multiple individuals and sessions, 6. Collect results in an easily readable format. Pyfiber is suitable for use with many different fluorescent sensors and operant behavior protocols. It was developed using Doric lenses FP systems and Imetronic behavioral systems, but it possesses the capability to process data from alternative systems. This work sets a solid foundation for analyzing the relationship between different dimensions of complex behavioral paradigms with fluorescent signals from brain regions of interest. | |
| dc.description.sponsorship | Innovations instrumentales et procédurales en psychopathologie expérimentale chez le rongeur - ANR-10-EQPX-0008 | en_US |
| dc.description.sponsorship | University of Bordeaux Neurocampus Graduate School - ANR-17-EURE-0028 | en_US |
| dc.language.iso | EN | en_US |
| dc.rights | Attribution 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
| dc.subject.en | Humans | |
| dc.subject.en | Brain | |
| dc.subject.en | Photometry | |
| dc.subject.en | Neurons | |
| dc.subject.en | Conditioning | |
| dc.subject.en | Operant | |
| dc.title.en | Integrating operant behavior and fiber photometry with the open-source python library Pyfiber | |
| dc.title.alternative | Sci Rep | en_US |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.1038/s41598-023-43565-1 | en_US |
| dc.subject.hal | Sciences du Vivant [q-bio]/Neurosciences [q-bio.NC] | en_US |
| dc.identifier.pubmed | 37783729 | en_US |
| bordeaux.journal | Scientific Reports | en_US |
| bordeaux.page | 16562 | en_US |
| bordeaux.volume | 13 | en_US |
| bordeaux.hal.laboratories | Neurocentre Magendie - U1215 | en_US |
| bordeaux.issue | 1 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | INSERM | en_US |
| bordeaux.team | Psychobiologie de la vulnérabilité à l'addiction aux drogues | en_US |
| bordeaux.team | Circuits neuronaux des apprentissages associatifs | en_US |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| bordeaux.import.source | pubmed | |
| hal.identifier | hal-04240920 | |
| hal.version | 1 | |
| hal.date.transferred | 2023-10-13T11:38:58Z | |
| hal.popular | non | en_US |
| hal.audience | Internationale | en_US |
| hal.export | true | |
| workflow.import.source | pubmed | |
| dc.rights.cc | CC BY | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Scientific%20Reports&rft.date=2023-10-02&rft.volume=13&rft.issue=1&rft.spage=16562&rft.epage=16562&rft.eissn=2045-2322&rft.issn=2045-2322&rft.au=CONLISK,%20Dana&CEAU,%20Matias&FIANCETTE,%20Jean-Fran%C3%A7ois&WINKE,%20Nanci&DARMAGNAC,%20Elise&rft.genre=article |
