Long-term recordings improve the detection of weak excitatory-excitatory connections in rat prefrontal cortex

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dc.contributor.authorSchwindel, C. Daniela
dc.contributor.authorAli, Karim
dc.contributor.authorMcNaughton, Bruce L.
dc.contributor.authorTatsuno, Masami
dc.date.accessioned2019-04-23T20:21:48Z
dc.date.available2019-04-23T20:21:48Z
dc.date.issued2014
dc.descriptionSherpa Romeo yellow journal. Open access article. Creative Commons Attribution-Noncommercial-ShareAlike 3.0 Unported License (CC BY-NC-SA 3.0) applies.en_US
dc.description.abstractCharacterization of synaptic connectivity is essential to understanding neural circuit dynamics. For extracellularly recorded spike trains, indirect evidence for connectivity can be inferred from short-latency peaks in the correlogram between two neurons. Despite their predominance in cortex, however, significant interactions between excitatory neurons (E) have been hard to detect because of their intrinsic weakness. By taking advantage of long duration recordings, up to 25 h, from rat prefrontal cortex, we found that 7.6% of the recorded pyramidal neurons are connected. This corresponds to 70% of the local E–E connection probability that has been reported by paired intracellular recordings(11.6%). This value is significantly higher than previous reports from extracellular recordings, but still a substantial underestimate. Our analysis showed that long recording times and strict significance thresholds are necessary to detect weak connections while avoiding false-positive results, but will likely still leave many excitatory connections undetected. In addition, we found that hyper-reciprocity of connections in prefrontal cortex that was shown previously by paired intracellular recordings was only present in short-distance, but not in long distance (300 micrometers or more) interactions. As hyper-reciprocity is restricted to local clusters, it might be a mini columnar effect. Given the current surge of interest in very high-density neural spike recording (e.g., NIH BRAIN Project) it is of paramount importance that we have statistically reliable methods for estimating connectivity from cross-correlation analysis available. We provide an important step in this direction.en_US
dc.description.peer-reviewYesen_US
dc.identifier.citationSchwindel, C. D., Ali, K., McNaughton, B. L., & Tatsuno, M. (2014). Long-term recordings improve the detection of weak excitatory-excitatory connections in rat prefrontal cortex. Journal of Neuroscience, 34(16), 5454-5467. DOI:10.1523/JNEUROSCI.4350-13.2014en_US
dc.identifier.urihttps://hdl.handle.net/10133/5334
dc.language.isoen_USen_US
dc.publisherSociety for Neuroscienceen_US
dc.publisher.departmentDepartment of Neuroscienceen_US
dc.publisher.facultyArts and Scienceen_US
dc.publisher.institutionUniversity of Lethbridgeen_US
dc.publisher.urlhttps://doi.org/10.1523/JNEUROSCI.4350-13.2014
dc.subjectCross correlationsen_US
dc.subjectExtracellular recordingsen_US
dc.subjectLocal connectivityen_US
dc.subjectMedial prefrontal cortexen_US
dc.subjectExcitatory neurons
dc.subject.lcshPrefrontal cortex
dc.subject.lcshRats as laboratory animals
dc.titleLong-term recordings improve the detection of weak excitatory-excitatory connections in rat prefrontal cortexen_US
dc.typeArticleen_US
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