Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT

User menu

Search

  • Advanced search
eNeuro
eNeuro

Advanced Search

 

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT
PreviousNext
Research ArticleNew Research, Neuronal Excitability

Spontaneous Infraslow Fluctuations Modulate Hippocampal EPSP-PS Coupling

Michael B. Dash, Stephen Ajayi, Lynde Folsom, Paul E. Gold and Donna L. Korol
eNeuro 8 January 2018, 5 (1) ENEURO.0403-17.2017; https://doi.org/10.1523/ENEURO.0403-17.2017
Michael B. Dash
1Department of Psychology, Middlebury College, Middlebury, VT 05753
2Department of Biology, Syracuse University, Syracuse, NY 13244
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Michael B. Dash
Stephen Ajayi
2Department of Biology, Syracuse University, Syracuse, NY 13244
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lynde Folsom
2Department of Biology, Syracuse University, Syracuse, NY 13244
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Paul E. Gold
2Department of Biology, Syracuse University, Syracuse, NY 13244
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Paul E. Gold
Donna L. Korol
2Department of Biology, Syracuse University, Syracuse, NY 13244
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Donna L. Korol
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Figures & Data

Figures

  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    Extensive variability of evoked response magnitude and spontaneous EEG power during a 28-min continuous recording session. A, Twenty seconds of raw EEG data from an individual rat. Arrows denote electrical stimulation to produce an evoked response. B, A typical evoked response. To quantify the evoked response, fEPSP slope is calculated within the bracketed region while PS amplitude (solid gray line) is the amplitude from response trough to the tangent line connecting response peaks (dotted line). C, Power spectrum of spontaneous EEG activity from the 4-s shaded region in A. D, Average evoked response from all 420 stimulations during a recording session in a single rat. E, Extensive variability in the evoked response is observed in both the fEPSP slope (top) and PS amplitude (bottom). F, The power spectrum of SBA averaged across all 4-s epochs of the recording session. Power spectra were calculated from 0.5 to 100 Hz but are only depicted to 40 Hz here for enhanced visualization. In D, F, dark shaded regions encompass the middle 50% of all observed values and light shaded regions encompass 95% of all observed values. Similar variability in both evoked responses magnitude and EEG power was observed when the stimulation frequency was 0.10 Hz instead of 0.25 Hz (see Results).

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Correlations between antecedent EEG power and fEPSP slope (A) or PS amplitude (B) at stimulation frequencies of either 0.25 or 0.10 Hz. Heat maps depict correlations for each animal for each frequency bin while reported r values reflect the average r value observed across all rats. Low- and high-frequency BLP and fEPSP slope are negatively correlated while these same frequency bins are positively correlated with PS amplitude. PS amplitude could not be consistently quantified for rat 7 or 17. For frequency bin labels, G = γ; B = β.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    fEPSP slope (A) and PS amplitude (B) as a function of preceding low-, middle-, or high-frequency BLP quartiles and stimulation frequency (0.25 or 0.10 Hz). C, Average evoked responses from an individual rat for responses following spontaneous EEG epochs that contained the least (black) and most (gray) BLP for each condition.

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    Phase-locking of EEG BLP, fEPSP slope, and PS amplitudes. A, Average power spectra (n = 17 rats) of low-, middle-, and high-frequency BLP during the entire recording session. Insets, Autocorrelograms for infraslow-filtered high- and low-frequency BLP. Gray dotted lines depict 95% confidence intervals. B, Spontaneous fluctuations in evoked response magnitude and EEG BLP are evident in infraslow filtered time series data from a single rat. C, IPDs calculated at each data point across the time series data depicted in B. Each gray arrow represents the phase difference calculated at a single time point. fEPSP and low-/high-frequency BLP are typically out of phase (π radians), while PS amplitude and low-/high-frequency BLP are typically in phase [0(2 π) radians]. No clear phase locking is present between middle-frequency BLP and fEPSP slope or PS amplitude.

  • Figure 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5.

    IPD between low-frequency (A, B), middle-frequency (C, D), and high-frequency (E, F) BLP and fEPSP or PS for rats stimulated at 0.25 Hz (similar phase distributions were observed for 0.10 Hz stimulated rats). Dark bars depict the distribution of actual observed phase differences while light bars depict the distribution of phase differences observed between BLP and shuffled fEPSP or PS data. fEPSP slopes are predominantly antiphase with high/low BLP, while PS amplitudes are predominantly in phase with high/low BLP. Insets depict the distribution of PLFs calculated between BLP and shuffled fEPSP or PS data (histogram), the 0.05 critical value obtained from these distributions (dotted line), and the PLF calculated from observed data (solid gray line). PD = circular mean phase difference ± circular SD. Phase locking: *p < 0.05, ^p < 0.10.

  • Figure 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 6.

    fEPSP slope (A) and PS amplitude (B) vary as a function of the phase of infraslow fluctuations in low- and high-frequency BLP but are not significantly altered by infraslow changes in middle-frequency BLP. C, The opposing effects of infraslow BLP phase on fEPSP slope and PS amplitude produce variations in EPSP-PS coupling across infraslow cycles in rats stimulated at either 0.25 Hz (top row) or 0.10 Hz (bottom row). Dotted lines depict unitary EPSP-PS coupling at all phases, and gray regions depict observed coupling (regions that exceed dotted lines indicate stronger EPSP-PS coupling than average, while regions that do not reach dotted lines indicate weaker EPSP-PS coupling). Scale bar represents a change of 10% of the mean EPSP-PS coupling.

Back to top

In this issue

eneuro: 5 (1)
eNeuro
Vol. 5, Issue 1
January/February 2018
  • Table of Contents
  • Index by author
Email

Thank you for sharing this eNeuro article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Spontaneous Infraslow Fluctuations Modulate Hippocampal EPSP-PS Coupling
(Your Name) has forwarded a page to you from eNeuro
(Your Name) thought you would be interested in this article in eNeuro.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
Spontaneous Infraslow Fluctuations Modulate Hippocampal EPSP-PS Coupling
Michael B. Dash, Stephen Ajayi, Lynde Folsom, Paul E. Gold, Donna L. Korol
eNeuro 8 January 2018, 5 (1) ENEURO.0403-17.2017; DOI: 10.1523/ENEURO.0403-17.2017

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Share
Spontaneous Infraslow Fluctuations Modulate Hippocampal EPSP-PS Coupling
Michael B. Dash, Stephen Ajayi, Lynde Folsom, Paul E. Gold, Donna L. Korol
eNeuro 8 January 2018, 5 (1) ENEURO.0403-17.2017; DOI: 10.1523/ENEURO.0403-17.2017
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Significance Statement
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Footnotes
    • References
    • Synthesis
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • EEG
  • evoked response
  • excitability
  • hippocampus
  • infraslow
  • synapse

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Related Articles

Cited By...

More in this TOC Section

New Research

  • A Very Fast Time Scale of Human Motor Adaptation: Within Movement Adjustments of Internal Representations during Reaching
  • Optogenetic Activation of β-Endorphin Terminals in the Medial Preoptic Nucleus Regulates Female Sexual Receptivity
  • Hsc70 Ameliorates the Vesicle Recycling Defects Caused by Excess α-Synuclein at Synapses
Show more New Research

Neuronal Excitability

  • Galanin Inhibits Histaminergic Neurons via Galanin Receptor 1
  • The Neurexin1β Histidine-Rich Domain Is Involved in Excitatory Presynaptic Organization and Short-Term Plasticity
  • Fast Spiking Interneurons Autonomously Generate Fast Gamma Oscillations in the Medial Entorhinal Cortex with Excitation Strength Tuning ING–PING Transitions
Show more Neuronal Excitability

Subjects

  • Neuronal Excitability
  • Home
  • Alerts
  • Follow SFN on BlueSky
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Latest Articles
  • Issue Archive
  • Blog
  • Browse by Topic

Information

  • For Authors
  • For the Media

About

  • About the Journal
  • Editorial Board
  • Privacy Notice
  • Contact
  • Feedback
(eNeuro logo)
(SfN logo)

Copyright © 2026 by the Society for Neuroscience.
eNeuro eISSN: 2373-2822

The ideas and opinions expressed in eNeuro do not necessarily reflect those of SfN or the eNeuro Editorial Board. Publication of an advertisement or other product mention in eNeuro should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in eNeuro.