[{"file_date_updated":"2023-09-15T07:12:46Z","ec_funded":1,"article_number":"113015","date_updated":"2023-09-15T07:14:12Z","date_created":"2023-09-10T22:01:11Z","volume":42,"author":[{"orcid":"0000-0001-8849-6570","id":"30BD0376-F248-11E8-B48F-1D18A9856A87","last_name":"Nardin","first_name":"Michele","full_name":"Nardin, Michele"},{"full_name":"Käfer, Karola","last_name":"Käfer","first_name":"Karola","id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Federico","last_name":"Stella","id":"39AF1E74-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-9439-3148","full_name":"Stella, Federico"},{"full_name":"Csicsvari, Jozsef L","last_name":"Csicsvari","first_name":"Jozsef L","orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"}],"publication_status":"published","department":[{"_id":"JoCs"}],"publisher":"Elsevier","year":"2023","acknowledgement":"We thank A. Cumpelik, H. Chiossi, and L. Bollman for comments on an earlier version of this manuscript. This work was funded by EU-FP7 MC-ITN IN-SENS (grant 607616).","pmid":1,"month":"09","publication_identifier":{"eissn":["2211-1247"]},"language":[{"iso":"eng"}],"doi":"10.1016/j.celrep.2023.113015","quality_controlled":"1","project":[{"name":"Inter-and intracellular signalling in schizophrenia","call_identifier":"FP7","_id":"257BBB4C-B435-11E9-9278-68D0E5697425","grant_number":"607616"}],"oa":1,"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"external_id":{"pmid":["37632747"]},"abstract":[{"text":"The execution of cognitive functions requires coordinated circuit activity across different brain areas that involves the associated firing of neuronal assemblies. Here, we tested the circuit mechanism behind assembly interactions between the hippocampus and the medial prefrontal cortex (mPFC) of adult rats by recording neuronal populations during a rule-switching task. We identified functionally coupled CA1-mPFC cells that synchronized their activity beyond that expected from common spatial coding or oscillatory firing. When such cell pairs fired together, the mPFC cell strongly phase locked to CA1 theta oscillations and maintained consistent theta firing phases, independent of the theta timing of their CA1 counterpart. These functionally connected CA1-mPFC cells formed interconnected assemblies. While firing together with their CA1 assembly partners, mPFC cells fired along specific theta sequences. Our results suggest that upregulated theta oscillatory firing of mPFC cells can signal transient interactions with specific CA1 assemblies, thus enabling distributed computations.","lang":"eng"}],"issue":"9","type":"journal_article","file":[{"relation":"main_file","file_id":"14337","date_updated":"2023-09-15T07:12:46Z","date_created":"2023-09-15T07:12:46Z","checksum":"ca77a304fb813c292550b8604b0fb41d","success":1,"file_name":"2023_CellPress_Nardin.pdf","access_level":"open_access","content_type":"application/pdf","file_size":4879455,"creator":"dernst"}],"oa_version":"Published Version","title":"Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions","ddc":["570"],"status":"public","intvolume":" 42","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"14314","day":"26","has_accepted_license":"1","article_processing_charge":"Yes","scopus_import":"1","date_published":"2023-09-26T00:00:00Z","article_type":"original","publication":"Cell Reports","citation":{"chicago":"Nardin, Michele, Karola Käfer, Federico Stella, and Jozsef L Csicsvari. “Theta Oscillations as a Substrate for Medial Prefrontal-Hippocampal Assembly Interactions.” Cell Reports. Elsevier, 2023. https://doi.org/10.1016/j.celrep.2023.113015.","mla":"Nardin, Michele, et al. “Theta Oscillations as a Substrate for Medial Prefrontal-Hippocampal Assembly Interactions.” Cell Reports, vol. 42, no. 9, 113015, Elsevier, 2023, doi:10.1016/j.celrep.2023.113015.","short":"M. Nardin, K. Käfer, F. Stella, J.L. Csicsvari, Cell Reports 42 (2023).","ista":"Nardin M, Käfer K, Stella F, Csicsvari JL. 2023. Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions. Cell Reports. 42(9), 113015.","ieee":"M. Nardin, K. Käfer, F. Stella, and J. L. Csicsvari, “Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions,” Cell Reports, vol. 42, no. 9. Elsevier, 2023.","apa":"Nardin, M., Käfer, K., Stella, F., & Csicsvari, J. L. (2023). Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions. Cell Reports. Elsevier. https://doi.org/10.1016/j.celrep.2023.113015","ama":"Nardin M, Käfer K, Stella F, Csicsvari JL. Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions. Cell Reports. 2023;42(9). doi:10.1016/j.celrep.2023.113015"}},{"isi":1,"quality_controlled":"1","project":[{"call_identifier":"H2020","name":"Biophysics and circuit function of a giant cortical glumatergic synapse","grant_number":"692692","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"call_identifier":"FWF","name":"Optical control of synaptic function via adhesion molecules","_id":"265CB4D0-B435-11E9-9278-68D0E5697425","grant_number":"I03600"},{"_id":"25C5A090-B435-11E9-9278-68D0E5697425","grant_number":"Z00312","name":"The Wittgenstein Prize","call_identifier":"FWF"}],"oa":1,"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"external_id":{"isi":["000841396400008"]},"acknowledged_ssus":[{"_id":"Bio"},{"_id":"SSU"}],"language":[{"iso":"eng"}],"doi":"10.1038/s41467-022-32559-8","month":"08","publication_identifier":{"issn":["2041-1723"]},"publication_status":"published","department":[{"_id":"JoCs"},{"_id":"PeJo"},{"_id":"JoDa"}],"publisher":"Springer Nature","acknowledgement":"We thank F. Marr and A. Schlögl for technical assistance, E. Kralli-Beller for manuscript editing, as well as C. Sommer and the Imaging and Optics Facility of the Institute of Science and Technology Austria (ISTA) for image analysis scripts and microscopy support. We extend our gratitude to J. Wallenschus and D. Rangel Guerrero for technical assistance acquiring single-unit data and I. Gridchyn for help with single-unit clustering. Finally, we also thank B. Suter for discussions, A. Saunders, M. Jösch, and H. Monyer for critically reading earlier versions of the manuscript, C. Petersen for sharing clearing protocols, and the Scientific Service Units of ISTA for efficient support. This project was funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (ERC advanced grant No 692692 to P.J.) and the Fond zur Förderung der Wissenschaftlichen Forschung (Z 312-B27, Wittgenstein award for P.J. and I3600-B27 for J.G.D. and P.V.).","year":"2022","date_updated":"2023-08-03T13:01:19Z","date_created":"2022-08-24T08:25:50Z","volume":13,"author":[{"full_name":"Ben Simon, Yoav","last_name":"Ben Simon","first_name":"Yoav","id":"43DF3136-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Käfer, Karola","id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87","first_name":"Karola","last_name":"Käfer"},{"full_name":"Velicky, Philipp","first_name":"Philipp","last_name":"Velicky","id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2340-7431"},{"full_name":"Csicsvari, Jozsef L","last_name":"Csicsvari","first_name":"Jozsef L","orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"},{"id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","first_name":"Johann G","last_name":"Danzl","full_name":"Danzl, Johann G"},{"orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","last_name":"Jonas","first_name":"Peter M","full_name":"Jonas, Peter M"}],"article_number":"4826","file_date_updated":"2022-08-26T11:51:40Z","ec_funded":1,"article_type":"original","publication":"Nature Communications","citation":{"ama":"Ben Simon Y, Käfer K, Velicky P, Csicsvari JL, Danzl JG, Jonas PM. A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes to spatial coding and memory. Nature Communications. 2022;13. doi:10.1038/s41467-022-32559-8","ieee":"Y. Ben Simon, K. Käfer, P. Velicky, J. L. Csicsvari, J. G. Danzl, and P. M. Jonas, “A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes to spatial coding and memory,” Nature Communications, vol. 13. Springer Nature, 2022.","apa":"Ben Simon, Y., Käfer, K., Velicky, P., Csicsvari, J. L., Danzl, J. G., & Jonas, P. M. (2022). A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes to spatial coding and memory. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-022-32559-8","ista":"Ben Simon Y, Käfer K, Velicky P, Csicsvari JL, Danzl JG, Jonas PM. 2022. A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes to spatial coding and memory. Nature Communications. 13, 4826.","short":"Y. Ben Simon, K. Käfer, P. Velicky, J.L. Csicsvari, J.G. Danzl, P.M. Jonas, Nature Communications 13 (2022).","mla":"Ben Simon, Yoav, et al. “A Direct Excitatory Projection from Entorhinal Layer 6b Neurons to the Hippocampus Contributes to Spatial Coding and Memory.” Nature Communications, vol. 13, 4826, Springer Nature, 2022, doi:10.1038/s41467-022-32559-8.","chicago":"Ben Simon, Yoav, Karola Käfer, Philipp Velicky, Jozsef L Csicsvari, Johann G Danzl, and Peter M Jonas. “A Direct Excitatory Projection from Entorhinal Layer 6b Neurons to the Hippocampus Contributes to Spatial Coding and Memory.” Nature Communications. Springer Nature, 2022. https://doi.org/10.1038/s41467-022-32559-8."},"date_published":"2022-08-16T00:00:00Z","keyword":["General Physics and Astronomy","General Biochemistry","Genetics and Molecular Biology","General Chemistry","Multidisciplinary"],"day":"16","has_accepted_license":"1","article_processing_charge":"No","status":"public","title":"A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes to spatial coding and memory","ddc":["570"],"intvolume":" 13","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","_id":"11951","oa_version":"Published Version","file":[{"file_size":5910357,"content_type":"application/pdf","creator":"dernst","access_level":"open_access","file_name":"2022_NatureCommunications_BenSimon.pdf","checksum":"405936d9e4d33625d80c093c9713a91f","success":1,"date_created":"2022-08-26T11:51:40Z","date_updated":"2022-08-26T11:51:40Z","relation":"main_file","file_id":"11990"}],"type":"journal_article","abstract":[{"text":"The mammalian hippocampal formation (HF) plays a key role in several higher brain functions, such as spatial coding, learning and memory. Its simple circuit architecture is often viewed as a trisynaptic loop, processing input originating from the superficial layers of the entorhinal cortex (EC) and sending it back to its deeper layers. Here, we show that excitatory neurons in layer 6b of the mouse EC project to all sub-regions comprising the HF and receive input from the CA1, thalamus and claustrum. Furthermore, their output is characterized by unique slow-decaying excitatory postsynaptic currents capable of driving plateau-like potentials in their postsynaptic targets. Optogenetic inhibition of the EC-6b pathway affects spatial coding in CA1 pyramidal neurons, while cell ablation impairs not only acquisition of new spatial memories, but also degradation of previously acquired ones. Our results provide evidence of a functional role for cortical layer 6b neurons in the adult brain.","lang":"eng"}]},{"type":"preprint","abstract":[{"lang":"eng","text":"Hippocampal and neocortical neural activity is modulated by the position of the individual in space. While hippocampal neurons provide the basis for a spatial map, prefrontal cortical neurons generalize over environmental features. Whether these generalized representations result from a bidirectional interaction with, or are mainly derived from hippocampal spatial representations is not known. By examining simultaneously recorded hippocampal and medial prefrontal neurons, we observed that prefrontal spatial representations show a delayed coherence with hippocampal ones. We also identified subpopulations of cells in the hippocampus and medial prefrontal cortex that formed functional cross-area couplings; these resembled the optimal connections predicted by a probabilistic model of spatial information transfer and generalization. Moreover, cross-area couplings were strongest and had the shortest delay preceding spatial decision-making. Our results suggest that generalized spatial coding in the medial prefrontal cortex is inherited from spatial representations in the hippocampus, and that the routing of information can change dynamically with behavioral demands."}],"ec_funded":1,"publication_status":"submitted","title":"The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus","status":"public","publisher":"Cold Spring Harbor Laboratory","department":[{"_id":"GradSch"},{"_id":"JoCs"}],"acknowledgement":"We thank Federico Stella for invaluable suggestions and discussions. We thank Yosman BapatDhar and Andrea Cumpelik for comments, help and suggestions on the exposure of the text. We thank Predrag Živadinović and Juliana Couras for comments on the text and the figures. This work was supported by the EU-FP7 MC-ITN IN-SENS (grant 607616).","_id":"10080","year":"2021","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","date_created":"2021-10-04T06:28:32Z","date_updated":"2021-10-05T12:34:26Z","oa_version":"Preprint","author":[{"orcid":"0000-0001-8849-6570","id":"30BD0376-F248-11E8-B48F-1D18A9856A87","last_name":"Nardin","first_name":"Michele","full_name":"Nardin, Michele"},{"full_name":"Käfer, Karola","id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87","first_name":"Karola","last_name":"Käfer"},{"full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","last_name":"Csicsvari","first_name":"Jozsef L"}],"month":"10","day":"02","article_processing_charge":"No","project":[{"grant_number":"607616","_id":"257BBB4C-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","name":"Inter-and intracellular signalling in schizophrenia"}],"publication":"bioRxiv","citation":{"ista":"Nardin M, Käfer K, Csicsvari JL. The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus. bioRxiv, 10.1101/2021.09.30.462269.","apa":"Nardin, M., Käfer, K., & Csicsvari, J. L. (n.d.). The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus. bioRxiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2021.09.30.462269","ieee":"M. Nardin, K. Käfer, and J. L. Csicsvari, “The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus,” bioRxiv. Cold Spring Harbor Laboratory.","ama":"Nardin M, Käfer K, Csicsvari JL. The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus. bioRxiv. doi:10.1101/2021.09.30.462269","chicago":"Nardin, Michele, Karola Käfer, and Jozsef L Csicsvari. “The Generalized Spatial Representation in the Prefrontal Cortex Is Inherited from the Hippocampus.” BioRxiv. Cold Spring Harbor Laboratory, n.d. https://doi.org/10.1101/2021.09.30.462269.","mla":"Nardin, Michele, et al. “The Generalized Spatial Representation in the Prefrontal Cortex Is Inherited from the Hippocampus.” BioRxiv, Cold Spring Harbor Laboratory, doi:10.1101/2021.09.30.462269.","short":"M. Nardin, K. Käfer, J.L. Csicsvari, BioRxiv (n.d.)."},"oa":1,"main_file_link":[{"url":"https://www.biorxiv.org/content/10.1101/2021.09.30.462269","open_access":"1"}],"language":[{"iso":"eng"}],"doi":"10.1101/2021.09.30.462269","date_published":"2021-10-02T00:00:00Z"},{"day":"08","article_processing_charge":"No","scopus_import":"1","date_published":"2020-04-08T00:00:00Z","publication":"Neuron","citation":{"chicago":"Käfer, Karola, Michele Nardin, Karel Blahna, and Jozsef L Csicsvari. “Replay of Behavioral Sequences in the Medial Prefrontal Cortex during Rule Switching.” Neuron. Elsevier, 2020. https://doi.org/10.1016/j.neuron.2020.01.015.","short":"K. Käfer, M. Nardin, K. Blahna, J.L. Csicsvari, Neuron 106 (2020) P154–165.e6.","mla":"Käfer, Karola, et al. “Replay of Behavioral Sequences in the Medial Prefrontal Cortex during Rule Switching.” Neuron, vol. 106, no. 1, Elsevier, 2020, p. P154–165.e6, doi:10.1016/j.neuron.2020.01.015.","apa":"Käfer, K., Nardin, M., Blahna, K., & Csicsvari, J. L. (2020). Replay of behavioral sequences in the medial prefrontal cortex during rule switching. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2020.01.015","ieee":"K. Käfer, M. Nardin, K. Blahna, and J. L. Csicsvari, “Replay of behavioral sequences in the medial prefrontal cortex during rule switching,” Neuron, vol. 106, no. 1. Elsevier, p. P154–165.e6, 2020.","ista":"Käfer K, Nardin M, Blahna K, Csicsvari JL. 2020. Replay of behavioral sequences in the medial prefrontal cortex during rule switching. Neuron. 106(1), P154–165.e6.","ama":"Käfer K, Nardin M, Blahna K, Csicsvari JL. Replay of behavioral sequences in the medial prefrontal cortex during rule switching. Neuron. 2020;106(1):P154-165.e6. doi:10.1016/j.neuron.2020.01.015"},"article_type":"original","page":"P154-165.e6","abstract":[{"lang":"eng","text":"Temporally organized reactivation of experiences during awake immobility periods is thought to underlie cognitive processes like planning and evaluation. While replay of trajectories is well established for the hippocampus, it is unclear whether the medial prefrontal cortex (mPFC) can reactivate sequential behavioral experiences in the awake state to support task execution. We simultaneously recorded from hippocampal and mPFC principal neurons in rats performing a mPFC-dependent rule-switching task on a plus maze. We found that mPFC neuronal activity encoded relative positions between the start and goal. During awake immobility periods, the mPFC replayed temporally organized sequences of these generalized positions, resembling entire spatial trajectories. The occurrence of mPFC trajectory replay positively correlated with rule-switching performance. However, hippocampal and mPFC trajectory replay occurred independently, indicating different functions. These results demonstrate that the mPFC can replay ordered activity patterns representing generalized locations and suggest that mPFC replay might have a role in flexible behavior."}],"issue":"1","type":"journal_article","oa_version":"Published Version","_id":"7472","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","title":"Replay of behavioral sequences in the medial prefrontal cortex during rule switching","status":"public","intvolume":" 106","month":"04","publication_identifier":{"issn":["0896-6273"]},"doi":"10.1016/j.neuron.2020.01.015","acknowledged_ssus":[{"_id":"M-Shop"}],"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://doi.org/10.1016/j.neuron.2020.01.015","open_access":"1"}],"oa":1,"external_id":{"isi":["000525319300016"],"pmid":["32032512"]},"quality_controlled":"1","isi":1,"project":[{"_id":"257BBB4C-B435-11E9-9278-68D0E5697425","grant_number":"607616","call_identifier":"FP7","name":"Inter-and intracellular signalling in schizophrenia"}],"ec_funded":1,"author":[{"full_name":"Käfer, Karola","id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87","last_name":"Käfer","first_name":"Karola"},{"first_name":"Michele","last_name":"Nardin","id":"30BD0376-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8849-6570","full_name":"Nardin, Michele"},{"first_name":"Karel","last_name":"Blahna","id":"3EA859AE-F248-11E8-B48F-1D18A9856A87","full_name":"Blahna, Karel"},{"orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","last_name":"Csicsvari","first_name":"Jozsef L","full_name":"Csicsvari, Jozsef L"}],"related_material":{"link":[{"relation":"press_release","description":"News on IST Homepage","url":"https://ist.ac.at/en/news/this-brain-area-helps-us-decide/"}]},"date_created":"2020-02-10T15:45:48Z","date_updated":"2023-08-17T14:38:02Z","volume":106,"acknowledgement":"We thank Todor Asenov and Thomas Menner from the Machine Shop for the drive design and production, Hugo Malagon-Vina for assistance in maze automatization, Jago Wallenschus for taking the images of the histology, and Federico Stella and Juan Felipe Ramirez-Villegas for comments on an earlier version of the manuscript. This work was supported by the EU-FP7 MC-ITN IN-SENS (grant 607616 ).","year":"2020","pmid":1,"publication_status":"published","publisher":"Elsevier","department":[{"_id":"JoCs"}]},{"scopus_import":"1","day":"01","article_processing_charge":"Yes (via OA deal)","has_accepted_license":"1","publication":"Hippocampus","citation":{"chicago":"Käfer, Karola, Hugo Malagon-Vina, Desiree Dickerson, Joseph O’Neill, Svenja V. Trossbach, Carsten Korth, and Jozsef L Csicsvari. “Disrupted-in-Schizophrenia 1 Overexpression Disrupts Hippocampal Coding and Oscillatory Synchronization.” Hippocampus. Wiley, 2019. https://doi.org/10.1002/hipo.23076.","short":"K. Käfer, H. Malagon-Vina, D. Dickerson, J. O’Neill, S.V. Trossbach, C. Korth, J.L. Csicsvari, Hippocampus 29 (2019) 802–816.","mla":"Käfer, Karola, et al. “Disrupted-in-Schizophrenia 1 Overexpression Disrupts Hippocampal Coding and Oscillatory Synchronization.” Hippocampus, vol. 29, no. 9, Wiley, 2019, pp. 802–16, doi:10.1002/hipo.23076.","ieee":"K. Käfer et al., “Disrupted-in-schizophrenia 1 overexpression disrupts hippocampal coding and oscillatory synchronization,” Hippocampus, vol. 29, no. 9. Wiley, pp. 802–816, 2019.","apa":"Käfer, K., Malagon-Vina, H., Dickerson, D., O’Neill, J., Trossbach, S. V., Korth, C., & Csicsvari, J. L. (2019). Disrupted-in-schizophrenia 1 overexpression disrupts hippocampal coding and oscillatory synchronization. Hippocampus. Wiley. https://doi.org/10.1002/hipo.23076","ista":"Käfer K, Malagon-Vina H, Dickerson D, O’Neill J, Trossbach SV, Korth C, Csicsvari JL. 2019. Disrupted-in-schizophrenia 1 overexpression disrupts hippocampal coding and oscillatory synchronization. Hippocampus. 29(9), 802–816.","ama":"Käfer K, Malagon-Vina H, Dickerson D, et al. Disrupted-in-schizophrenia 1 overexpression disrupts hippocampal coding and oscillatory synchronization. Hippocampus. 2019;29(9):802-816. doi:10.1002/hipo.23076"},"article_type":"original","page":"802-816","date_published":"2019-09-01T00:00:00Z","type":"journal_article","abstract":[{"text":"Aberrant proteostasis of protein aggregation may lead to behavior disorders including chronic mental illnesses (CMI). Furthermore, the neuronal activity alterations that underlie CMI are not well understood. We recorded the local field potential and single-unit activity of the hippocampal CA1 region in vivo in rats transgenically overexpressing the Disrupted-in-Schizophrenia 1 (DISC1) gene (tgDISC1), modeling sporadic CMI. These tgDISC1 rats have previously been shown to exhibit DISC1 protein aggregation, disturbances in the dopaminergic system and attention-related deficits. Recordings were performed during exploration of familiar and novel open field environments and during sleep, allowing investigation of neuronal abnormalities in unconstrained behavior. Compared to controls, tgDISC1 place cells exhibited smaller place fields and decreased speed-modulation of their firing rates, demonstrating altered spatial coding and deficits in encoding location-independent sensory inputs. Oscillation analyses showed that tgDISC1 pyramidal neurons had higher theta phase locking strength during novelty, limiting their phase coding ability. However, their mean theta phases were more variable at the population level, reducing oscillatory network synchronization. Finally, tgDISC1 pyramidal neurons showed a lack of novelty-induced shift in their preferred theta and gamma firing phases, indicating deficits in coding of novel environments with oscillatory firing. By combining single cell and neuronal population analyses, we link DISC1 protein pathology with abnormal hippocampal neural coding and network synchrony, and thereby gain a more comprehensive understanding of CMI mechanisms.","lang":"eng"}],"issue":"9","_id":"5949","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","ddc":["570"],"title":"Disrupted-in-schizophrenia 1 overexpression disrupts hippocampal coding and oscillatory synchronization","status":"public","intvolume":" 29","oa_version":"Published Version","file":[{"relation":"main_file","file_id":"5950","date_updated":"2020-07-14T12:47:13Z","date_created":"2019-02-11T10:42:51Z","checksum":"5e8de271ca04aef92a5de42d6aac4404","file_name":"2019_Hippocampus_Kaefer.pdf","access_level":"open_access","content_type":"application/pdf","file_size":2132893,"creator":"dernst"}],"month":"09","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"external_id":{"isi":["000480635400003"]},"oa":1,"quality_controlled":"1","isi":1,"project":[{"_id":"257BBB4C-B435-11E9-9278-68D0E5697425","grant_number":"607616","call_identifier":"FP7","name":"Inter-and intracellular signalling in schizophrenia"}],"doi":"10.1002/hipo.23076","language":[{"iso":"eng"}],"file_date_updated":"2020-07-14T12:47:13Z","ec_funded":1,"year":"2019","publication_status":"published","department":[{"_id":"JoCs"}],"publisher":"Wiley","author":[{"id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87","first_name":"Karola","last_name":"Käfer","full_name":"Käfer, Karola"},{"last_name":"Malagon-Vina","first_name":"Hugo","full_name":"Malagon-Vina, Hugo"},{"first_name":"Desiree","last_name":"Dickerson","id":"444EB89E-F248-11E8-B48F-1D18A9856A87","full_name":"Dickerson, Desiree"},{"last_name":"O'Neill","first_name":"Joseph","full_name":"O'Neill, Joseph"},{"last_name":"Trossbach","first_name":"Svenja V.","full_name":"Trossbach, Svenja V."},{"first_name":"Carsten","last_name":"Korth","full_name":"Korth, Carsten"},{"full_name":"Csicsvari, Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5193-4036","first_name":"Jozsef L","last_name":"Csicsvari"}],"related_material":{"record":[{"id":"6825","relation":"dissertation_contains","status":"public"}]},"date_updated":"2024-03-28T23:30:22Z","date_created":"2019-02-10T22:59:18Z","volume":29},{"author":[{"id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87","last_name":"Käfer","first_name":"Karola","full_name":"Käfer, Karola"}],"related_material":{"record":[{"id":"5949","relation":"part_of_dissertation","status":"public"}]},"date_created":"2019-08-21T15:00:57Z","date_updated":"2023-09-07T13:01:42Z","year":"2019","publication_status":"published","department":[{"_id":"JoCs"}],"publisher":"Institute of Science and Technology Austria","file_date_updated":"2020-09-15T22:30:05Z","doi":"10.15479/AT:ISTA:6825","supervisor":[{"first_name":"Jozsef L","last_name":"Csicsvari","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L"}],"degree_awarded":"PhD","language":[{"iso":"eng"}],"oa":1,"month":"08","publication_identifier":{"issn":["2663-337X"]},"oa_version":"Published Version","file":[{"creator":"kkaefer","content_type":"application/pdf","request_a_copy":0,"file_size":3205202,"file_name":"Thesis_Kaefer_PDFA.pdf","access_level":"open_access","date_updated":"2020-09-06T22:30:03Z","date_created":"2019-09-03T08:07:13Z","checksum":"2664420e332a33338568f4f3bfc59287","embargo":"2020-09-05","file_id":"6846","relation":"main_file"},{"access_level":"closed","embargo_to":"open_access","file_name":"Thesis_Kaefer.zip","content_type":"application/zip","file_size":2506835,"creator":"kkaefer","relation":"main_file","file_id":"6847","checksum":"9a154eab6f07aa590a3d2651dc0d926a","date_created":"2019-09-03T08:07:17Z","date_updated":"2020-09-15T22:30:05Z"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","_id":"6825","title":"The hippocampus and medial prefrontal cortex during flexible behavior","status":"public","ddc":["570"],"abstract":[{"text":"The solving of complex tasks requires the functions of more than one brain area and their interaction. Whilst spatial navigation and memory is dependent on the hippocampus, flexible behavior relies on the medial prefrontal cortex (mPFC). To further examine the roles of the hippocampus and mPFC, we recorded their neural activity during a task that depends on both of these brain regions.\r\nWith tetrodes, we recorded the extracellular activity of dorsal hippocampal CA1 (HPC) and mPFC neurons in Long-Evans rats performing a rule-switching task on the plus-maze. The plus-maze task had a spatial component since it required navigation along one of the two start arms and at the maze center a choice between one of the two goal arms. Which goal contained a reward depended on the rule currently in place. After an uncued rule change the animal had to abandon the old strategy and switch to the new rule, testing cognitive flexibility. Investigating the coordination of activity between the HPC and mPFC allows determination during which task stages their interaction is required. Additionally, comparing neural activity patterns in these two brain regions allows delineation of the specialized functions of the HPC and mPFC in this task. We analyzed neural activity in the HPC and mPFC in terms of oscillatory interactions, rule coding and replay.\r\nWe found that theta coherence between the HPC and mPFC is increased at the center and goals of the maze, both when the rule was stable or has changed. Similar results were found for locking of HPC and mPFC neurons to HPC theta oscillations. However, no differences in HPC-mPFC theta coordination were observed between the spatially- and cue-guided rule. Phase locking of HPC and mPFC neurons to HPC gamma oscillations was not modulated by\r\nmaze position or rule type. We found that the HPC coded for the two different rules with cofiring relationships between\r\ncell pairs. However, we could not find conclusive evidence for rule coding in the mPFC. Spatially-selective firing in the mPFC generalized between the two start and two goal arms. With Bayesian positional decoding, we found that the mPFC reactivated non-local positions during awake immobility periods. Replay of these non-local positions could represent entire behavioral trajectories resembling trajectory replay of the HPC. Furthermore, mPFC\r\ntrajectory-replay at the goal positively correlated with rule-switching performance. \r\nFinally, HPC and mPFC trajectory replay occurred independently of each other. These results show that the mPFC can replay ordered patterns of activity during awake immobility, possibly underlying its role in flexible behavior. ","lang":"eng"}],"type":"dissertation","alternative_title":["ISTA Thesis"],"date_published":"2019-08-24T00:00:00Z","citation":{"ista":"Käfer K. 2019. The hippocampus and medial prefrontal cortex during flexible behavior. Institute of Science and Technology Austria.","ieee":"K. Käfer, “The hippocampus and medial prefrontal cortex during flexible behavior,” Institute of Science and Technology Austria, 2019.","apa":"Käfer, K. (2019). The hippocampus and medial prefrontal cortex during flexible behavior. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:6825","ama":"Käfer K. The hippocampus and medial prefrontal cortex during flexible behavior. 2019. doi:10.15479/AT:ISTA:6825","chicago":"Käfer, Karola. “The Hippocampus and Medial Prefrontal Cortex during Flexible Behavior.” Institute of Science and Technology Austria, 2019. https://doi.org/10.15479/AT:ISTA:6825.","mla":"Käfer, Karola. The Hippocampus and Medial Prefrontal Cortex during Flexible Behavior. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6825.","short":"K. Käfer, The Hippocampus and Medial Prefrontal Cortex during Flexible Behavior, Institute of Science and Technology Austria, 2019."},"page":"89","day":"24","has_accepted_license":"1","article_processing_charge":"No"}]