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Rhythmic coordination of hippocampal neurons during associative memory processing.

Lara M Rangel | Jon W Rueckemann | Pamela D Riviere | Katherine R Keefe | Blake S Porter | Ian S Heimbuch | Carl H Budlong | Howard Eichenbaum
eLife | 2016

Hippocampal oscillations are dynamic, with unique oscillatory frequencies present during different behavioral states. To examine the extent to which these oscillations reflect neuron engagement in distinct local circuit processes that are important for memory, we recorded single cell and local field potential activity from the CA1 region of the hippocampus as rats performed a context-guided odor-reward association task. We found that theta (4-12 Hz), beta (15-35 Hz), low gamma (35-55 Hz), and high gamma (65-90 Hz) frequencies exhibited dynamic amplitude profiles as rats sampled odor cues. Interneurons and principal cells exhibited unique engagement in each of the four rhythmic circuits in a manner that related to successful performance of the task. Moreover, principal cells coherent to each rhythm differentially represented task dimensions. These results demonstrate that distinct processing states arise from the engagement of rhythmically identifiable circuits, which have unique roles in organizing task-relevant processing in the hippocampus.

Pubmed ID: 26751780

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Associated grants

  • Agency: NIMH NIH HHS, United States
    Id: R01 MH051570
  • Agency: NIMH NIH HHS, United States
    Id: R01 MH052090
  • Agency: NIMH NIH HHS, United States
    Id: MH052090

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Chronux (tool)

RRID:SCR_005547

Open-source software package for the analysis of neural data. Chronux routines may be employed in the analysis of both point process and continuous data, ranging from preprocessing, exploratory and confirmatory analysis. The current release is implemented as a MATLAB library. Chronux offers several routines for computing spectra and coherences for both point and continuous processes. In addition, it also offers several general purpose routines that were found useful such as a routine for extracting specified segments from data, or binning spike time data with bins of a specified size. Since the data can be continuous valued, point process times, or point processes that are binned, methods that apply to all these data types are given in routines whose names end with ''''c'''' for continuous, ''''pb'''' for binned point processes, and ''''pt'''' for point process times. Thus, mtspectrumc computes the spectrum of continuous data, mtspectrumpb computes a spectrum for binned point processes, and mtspectrumpt compute spectra for data consisting of point process times. Hybrid routines are also available and similarly named - for instance coherencycpb computes the coherency between continuous and binned point process data.

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Crl:LE (tool)

RRID:RGD_2308852

Rattus norvegicus with name Crl:LE from RGD.

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