Human hippocampal responses to network intracranial stimulation vary with theta phase

  1. Sarah M Lurie  Is a corresponding author
  2. James E Kragel
  3. Stephan U Schuele
  4. Joel L Voss
  1. Northwestern University, United States
  2. University of Chicago, United States

Abstract

Hippocampal-dependent memory is thought to be supported by distinct connectivity states, with strong input to the hippocampus benefitting encoding and weak input benefitting retrieval. Previous research in rodents suggests that the hippocampal theta oscillation orchestrates the transition between these states, with opposite phase angles predicting minimal versus maximal input. We investigated whether this phase dependence exists in humans using network-targeted intracranial stimulation. Intracranial local field potentials were recorded from individuals with epilepsy undergoing medically necessary stereotactic electroencephalographic recording. In each subject, biphasic bipolar direct electrical stimulation was delivered to lateral temporal sites with demonstrated connectivity to hippocampus. Lateral temporal stimulation evoked ipsilateral hippocampal potentials with distinct early and late components. Using evoked component amplitude to measure functional connectivity, we assessed whether the phase of hippocampal theta predicted relatively high versus low connectivity. We observed an increase in the continuous phase-amplitude relationship selective to the early and late components of the response evoked by lateral temporal stimulation. The maximal difference in these evoked component amplitudes occurred across 180 degrees of separation in the hippocampal theta rhythm; i.e., the greatest difference in component amplitude was observed when stimulation was delivered at theta peak versus trough. The pattern of theta phase dependence observed for hippocampus was not identified for control locations. These findings demonstrate that hippocampal receptivity to input varies with theta phase, suggesting that theta phase reflects connectivity states of human hippocampal networks. These findings confirm a putative mechanism by which neural oscillations modulate human hippocampal function.

Data availability

All iEEG data and custom analysis scripts have been made publicly available on Zenodo (doi: 10.5281/zenodo.6342237)

The following data sets were generated

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Author details

  1. Sarah M Lurie

    Northwestern University, Chicago, United States
    For correspondence
    smr.lurie@gmail.com
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-2986-688X
  2. James E Kragel

    Department of Neurology, University of Chicago, Chicago, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Stephan U Schuele

    Northwestern University, Chicago, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Joel L Voss

    Department of Neurology, University of Chicago, Chicago, United States
    Competing interests
    The authors declare that no competing interests exist.

Funding

National Institute of Neurological Disorders and Stroke (R01NS113804)

  • Joel L Voss

National Institute of Mental Health (F31MH125577)

  • Sarah M Lurie

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Human subjects: All subjects provided written informed consent prior to participation. Study protocols were approved by the Northwestern University Institutional Review Board (STU00210599).

Copyright

© 2022, Lurie et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

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  1. Sarah M Lurie
  2. James E Kragel
  3. Stephan U Schuele
  4. Joel L Voss
(2022)
Human hippocampal responses to network intracranial stimulation vary with theta phase
eLife 11:e78395.
https://doi.org/10.7554/eLife.78395

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https://doi.org/10.7554/eLife.78395