6533b7dcfe1ef96bd1272ac3
RESEARCH PRODUCT
An update to Hippocampome.org by integrating single-cell phenotypes with circuit function in vivo.
Manuel ValeroMiriam S. NokiaMiriam S. NokiaMiriam S. NokiaTeresa Jurado-parrasNate SuttonAlberto Sanchez-aguileraElena CidDiek W. WheelerGiorgio A. AscoliDaniel García-rincónLiset Menendez De La PridaIvan Fernandez-lamosubject
DYNAMICSGABAERGIC INTERNEURONPhysiologyAction PotentialsSocial SciencesHippocampal formationHippocampusNeuron typesBehavioral traitsMice0302 clinical medicineAnimal CellsMedicine and Health SciencesEntorhinal CortexPsychologyNETWORKBiology (General)Function (engineering)media_commonNeurons0303 health sciencesPHYSIOLOGICAL-PROPERTIESGeneral NeurosciencePyramidal CellsMethods and ResourcesBrainPhenotypeMOSSY CELLS3. Good healthElectrophysiologyPhenotypeAnatomyCellular TypesGeneral Agricultural and Biological SciencesGanglion CellsHeuristic (computer science)QH301-705.5media_common.quotation_subjectNeurophysiologyBiologyMembrane PotentialGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesAnimalsin vivo -menetelmähippokampus030304 developmental biologyBehaviorNeuron typeGeneral Immunology and MicrobiologyGranule CellsTHETA OSCILLATIONShermoverkot (biologia)Biology and Life SciencesCell BiologyNeuronal DendritesSILICON PROBESRatshermosolutBrain stateCellular Neuroscience1182 Biochemistry cell and molecular biologyfenotyyppi3111 BiomedicineNeuroscience030217 neurology & neurosurgeryNeurosciencedescription
Understanding brain operation demands linking basic behavioral traits to cell-type specific dynamics of different brain-wide subcircuits. This requires a system to classify the basic operational modes of neurons and circuits. Single-cell phenotyping of firing behavior during ongoing oscillations in vivo has provided a large body of evidence on entorhinal–hippocampal function, but data are dispersed and diverse. Here, we mined literature to search for information regarding the phase-timing dynamics of over 100 hippocampal/entorhinal neuron types defined in Hippocampome.org. We identified missing and unresolved pieces of knowledge (e.g., the preferred theta phase for a specific neuron type) and complemented the dataset with our own new data. By confronting the effect of brain state and recording methods, we highlight the equivalences and differences across conditions and offer a number of novel observations. We show how a heuristic approach based on oscillatory features of morphologically identified neurons can aid in classifying extracellular recordings of single cells and discuss future opportunities and challenges towards integrating single-cell phenotypes with circuit function.
year | journal | country | edition | language |
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2021-05-01 | PLoS biology |