Integrating operant behavior and fiber photometry with the open-source python library Pyfiber
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 compl...
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| Vydané v: | Scientific reports Ročník 13; číslo 1; s. 16562 - 13 |
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| Hlavní autori: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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02.10.2023
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| Abstract | 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. |
|---|---|
| AbstractList | 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. 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. 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.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. Abstract 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. |
| ArticleNumber | 16562 |
| Author | Deroche-Gamonet, Véronique Ceau, Matias Winke, Nanci Conlisk, Dana Fiancette, Jean-François Herry, Cyril Darmagnac, Elise |
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| Cites_doi | 10.1016/j.celrep.2020.02.095 10.1126/science.1099020 10.1038/s41598-021-03626-9 10.1007/s00213-002-1224-x 10.1016/j.pbb.2020.173093 10.1523/JNEUROSCI.1451-21.2021 10.1016/j.cell.2015.07.014 10.1073/pnas.1521238113 10.1016/j.pbb.2021.173113 10.1038/s41467-021-22260-7 10.1038/s41589-018-0207-0 10.1038/84397 10.1523/ENEURO.0503-20.2021 10.1016/j.neulet.2021.135956 10.1038/npp.2017.122 10.1101/2022.01.09.475513 10.1016/j.neuron.2019.04.016 10.1523/JNEUROSCI.1869-20.2021 10.1016/j.cell.2019.06.034 10.1038/bjp.2008.349 10.1523/JNEUROSCI.0724-20.2020 |
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| References | Spring, Caccamise, Panther, Windsor, Soni, McReynolds, Wheeler, Mantsch, Wheeler (CR17) 2021; 41 Deroche-Gamonet, Belin, Piazza (CR6) 2004; 305 Lerner, Shilyansky, Davidson, Evans, Beier, Zalocusky, Crow, Malenka, Luo, Tomer, Deisseroth (CR8) 2015; 162 Sherathiya, Schaid, Seiler, Lopez, Lerner (CR14) 2021; 11 O’Neal, Bernstein, MacDougall, Ferguson (CR19) 2022; 42 Bouard, Alazard-Dany, Cosset (CR4) 2009; 157 Muir, Lorsch, Ramakrishnan, Deisseroth, Nestler, Calipari, Bagot (CR10) 2018; 43 Calipari, Bagot, Purushothaman, Davidson, Yorgason, Peña, Walker, Pirpinias, Guise, Ramakrishnan, Deisseroth, Nestler (CR18) 2016; 113 Gioia, Woodward (CR11) 2021; 8 de Kloet, Bruinsma, Terra, Heistek, Passchier, van den Berg, Luchicchi, Min, Pattij, Mansvelder (CR20) 2021; 12 Lafferty, Yang, Mendoza, Britt (CR12) 2020; 30 Nakai, Ohkura, Imoto (CR1) 2001; 19 Parker, Pedersen, Gomez, Spangler, Walicki, Feng, Stewart, Otis, Al-Hasani, McCall, Sakers, Bhatti, Copits, Gereau, Jhou, Kash, Dougherty, Stuber, Bruchas (CR15) 2019; 178 Shaham, Shalev, Lu, de Wit, Stewart (CR16) 2003; 168 Liu, Jean-Richard-dit-Bressel, Yau, Willing, Prasad, Power, Killcross, Clifford, McNally (CR13) 2020; 40 Wang, DeMarco, Witzel, Keighron (CR3) 2021; 201 Salinas, Lee, Augustin, Zhang, Patriarchi, Tian, Morales, Mateo, Lovinger (CR21) 2022 Holly, Davatolhagh, Choi, Alabi, Vargas Cifuentes, Fuccillo (CR9) 2019; 103 Radhiyanti, Konno, Matsuzaki, Hirai (CR5) 2021; 756 Wang, Kim, Ting (CR2) 2019; 15 Bruno, O’Brien, Bryant, Mejaes, Estrin, Pizzano, Barker (CR7) 2021; 201 V Deroche-Gamonet (43565_CR6) 2004; 305 PT Radhiyanti (43565_CR5) 2021; 756 KE Parker (43565_CR15) 2019; 178 EN Holly (43565_CR9) 2019; 103 J Nakai (43565_CR1) 2001; 19 TN Lerner (43565_CR8) 2015; 162 ES Calipari (43565_CR18) 2016; 113 D Bouard (43565_CR4) 2009; 157 W Wang (43565_CR2) 2019; 15 Y Wang (43565_CR3) 2021; 201 DA Gioia (43565_CR11) 2021; 8 CK Lafferty (43565_CR12) 2020; 30 VN Sherathiya (43565_CR14) 2021; 11 Y Shaham (43565_CR16) 2003; 168 TJ O’Neal (43565_CR19) 2022; 42 SF de Kloet (43565_CR20) 2021; 12 AG Salinas (43565_CR21) 2022 Y Liu (43565_CR13) 2020; 40 MG Spring (43565_CR17) 2021; 41 CA Bruno (43565_CR7) 2021; 201 J Muir (43565_CR10) 2018; 43 |
| References_xml | – volume: 30 start-page: 3729 issue: 11 year: 2020 end-page: 3742.e3 ident: CR12 article-title: Nucleus accumbens cell type- and input-specific suppression of unproductive reward seeking publication-title: Cell Rep. doi: 10.1016/j.celrep.2020.02.095 – volume: 305 start-page: 1014 issue: 5686 year: 2004 end-page: 1017 ident: CR6 article-title: Evidence for addiction-like behavior in the rat publication-title: Science doi: 10.1126/science.1099020 – volume: 11 start-page: 24212 issue: 1 year: 2021 ident: CR14 article-title: GuPPy, a python toolbox for the analysis of fiber photometry data publication-title: Sci. Rep. doi: 10.1038/s41598-021-03626-9 – volume: 168 start-page: 3 issue: 1–2 year: 2003 end-page: 20 ident: CR16 article-title: The reinstatement model of drug relapse: History, methodology and major findings publication-title: Psychopharmacology doi: 10.1007/s00213-002-1224-x – volume: 201 start-page: 173093 year: 2021 ident: CR7 article-title: pMAT: An open-source software suite for the analysis of fiber photometry data publication-title: Pharmacol. Biochem. Behav. doi: 10.1016/j.pbb.2020.173093 – volume: 42 start-page: 2011 issue: 10 year: 2022 end-page: 2024 ident: CR19 article-title: A Conditioned place preference for heroin is signaled by increased dopamine and direct pathway activity and decreased indirect pathway activity in the nucleus accumbens publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.1451-21.2021 – volume: 162 start-page: 635 issue: 3 year: 2015 end-page: 647 ident: CR8 article-title: Intact-brain analyses reveal distinct information carried by SNc dopamine subcircuits publication-title: Cell doi: 10.1016/j.cell.2015.07.014 – volume: 113 start-page: 2726 issue: 10 year: 2016 end-page: 2731 ident: CR18 article-title: In vivo imaging identifies temporal signature of D1 and D2 medium spiny neurons in cocaine reward publication-title: Proc. Natl. Acad. Sci. doi: 10.1073/pnas.1521238113 – volume: 201 start-page: 173113 year: 2021 ident: CR3 article-title: A selected review of recent advances in the study of neuronal circuits using fiber photometry publication-title: Pharmacol. Biochem. Behav. doi: 10.1016/j.pbb.2021.173113 – volume: 12 start-page: 1994 issue: 1 year: 2021 ident: CR20 article-title: Bi-directional regulation of cognitive control by distinct prefrontal cortical output neurons to thalamus and striatum publication-title: Nat. Commun. doi: 10.1038/s41467-021-22260-7 – volume: 15 start-page: 101 issue: 2 year: 2019 end-page: 110 ident: CR2 article-title: Molecular tools for imaging and recording neuronal activity publication-title: Nat. Chem. Biol. doi: 10.1038/s41589-018-0207-0 – volume: 19 start-page: 137 issue: 2 year: 2001 end-page: 141 ident: CR1 article-title: A high signal-to-noise Ca2+ probe composed of a single green fluorescent protein publication-title: Nat. Biotechnol. doi: 10.1038/84397 – volume: 8 start-page: ENEURO.0503-20.2021 issue: 2 year: 2021 ident: CR11 article-title: Altered activity of lateral orbitofrontal cortex neurons in mice following chronic intermittent ethanol exposure publication-title: Eneuro doi: 10.1523/ENEURO.0503-20.2021 – volume: 756 start-page: 135956 year: 2021 ident: CR5 article-title: Comparative study of neuron-specific promoters in mouse brain transduced by intravenously administered AAV-PHP.eB publication-title: Neurosci. Lett. doi: 10.1016/j.neulet.2021.135956 – volume: 43 start-page: 255 issue: 2 year: 2018 end-page: 263 ident: CR10 article-title: In vivo fiber photometry reveals signature of future stress susceptibility in nucleus accumbens publication-title: Neuropsychopharmacology doi: 10.1038/npp.2017.122 – year: 2022 ident: CR21 article-title: Sub-second striatal dopamine dynamics assessed by simultaneous fast-scan cyclic voltammetry and fluorescence biosensor [Preprint] publication-title: Neuroscience doi: 10.1101/2022.01.09.475513 – volume: 103 start-page: 92 issue: 1 year: 2019 end-page: 101.e6 ident: CR9 article-title: Striatal low-threshold spiking interneurons regulate goal-directed learning publication-title: Neuron doi: 10.1016/j.neuron.2019.04.016 – volume: 41 start-page: 2428 issue: 11 year: 2021 end-page: 2436 ident: CR17 article-title: Chronic stress prevents cortico-accumbens Cue encoding and alters conditioned approach publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.1869-20.2021 – volume: 178 start-page: 653 issue: 3 year: 2019 end-page: 671.e19 ident: CR15 article-title: A paranigral VTA nociceptin circuit that constrains motivation for reward publication-title: Cell doi: 10.1016/j.cell.2019.06.034 – volume: 157 start-page: 153 issue: 2 year: 2009 end-page: 165 ident: CR4 article-title: Viral vectors: From virology to transgene expression: Viral vectors: From virology to transgene expression publication-title: Br. J. Pharmacol. doi: 10.1038/bjp.2008.349 – volume: 40 start-page: 6409 issue: 33 year: 2020 end-page: 6427 ident: CR13 article-title: The mesolimbic dopamine activity signatures of relapse to alcohol-seeking publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.0724-20.2020 – volume: 30 start-page: 3729 issue: 11 year: 2020 ident: 43565_CR12 publication-title: Cell Rep. doi: 10.1016/j.celrep.2020.02.095 – volume: 19 start-page: 137 issue: 2 year: 2001 ident: 43565_CR1 publication-title: Nat. Biotechnol. doi: 10.1038/84397 – year: 2022 ident: 43565_CR21 publication-title: Neuroscience doi: 10.1101/2022.01.09.475513 – volume: 12 start-page: 1994 issue: 1 year: 2021 ident: 43565_CR20 publication-title: Nat. Commun. doi: 10.1038/s41467-021-22260-7 – volume: 103 start-page: 92 issue: 1 year: 2019 ident: 43565_CR9 publication-title: Neuron doi: 10.1016/j.neuron.2019.04.016 – volume: 178 start-page: 653 issue: 3 year: 2019 ident: 43565_CR15 publication-title: Cell doi: 10.1016/j.cell.2019.06.034 – volume: 157 start-page: 153 issue: 2 year: 2009 ident: 43565_CR4 publication-title: Br. J. Pharmacol. doi: 10.1038/bjp.2008.349 – volume: 11 start-page: 24212 issue: 1 year: 2021 ident: 43565_CR14 publication-title: Sci. Rep. doi: 10.1038/s41598-021-03626-9 – volume: 168 start-page: 3 issue: 1–2 year: 2003 ident: 43565_CR16 publication-title: Psychopharmacology doi: 10.1007/s00213-002-1224-x – volume: 41 start-page: 2428 issue: 11 year: 2021 ident: 43565_CR17 publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.1869-20.2021 – volume: 201 start-page: 173113 year: 2021 ident: 43565_CR3 publication-title: Pharmacol. Biochem. Behav. doi: 10.1016/j.pbb.2021.173113 – volume: 113 start-page: 2726 issue: 10 year: 2016 ident: 43565_CR18 publication-title: Proc. Natl. Acad. Sci. doi: 10.1073/pnas.1521238113 – volume: 15 start-page: 101 issue: 2 year: 2019 ident: 43565_CR2 publication-title: Nat. Chem. Biol. doi: 10.1038/s41589-018-0207-0 – volume: 305 start-page: 1014 issue: 5686 year: 2004 ident: 43565_CR6 publication-title: Science doi: 10.1126/science.1099020 – volume: 40 start-page: 6409 issue: 33 year: 2020 ident: 43565_CR13 publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.0724-20.2020 – volume: 42 start-page: 2011 issue: 10 year: 2022 ident: 43565_CR19 publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.1451-21.2021 – volume: 8 start-page: ENEURO.0503-20. issue: 2 year: 2021 ident: 43565_CR11 publication-title: Eneuro doi: 10.1523/ENEURO.0503-20.2021 – volume: 43 start-page: 255 issue: 2 year: 2018 ident: 43565_CR10 publication-title: Neuropsychopharmacology doi: 10.1038/npp.2017.122 – volume: 201 start-page: 173093 year: 2021 ident: 43565_CR7 publication-title: Pharmacol. Biochem. Behav. doi: 10.1016/j.pbb.2020.173093 – volume: 756 start-page: 135956 year: 2021 ident: 43565_CR5 publication-title: Neurosci. Lett. doi: 10.1016/j.neulet.2021.135956 – volume: 162 start-page: 635 issue: 3 year: 2015 ident: 43565_CR8 publication-title: Cell doi: 10.1016/j.cell.2015.07.014 |
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| Title | Integrating operant behavior and fiber photometry with the open-source python library Pyfiber |
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