Evidence map›Paper›PMID 29755314›Full record

ReviewFrontiers in neuroscience2018

Non-invasive Investigation of Human Hippocampal Rhythms Using Magnetoencephalography: A Review.

Yi Pu, Douglas O Cheyne, Brian R Cornwell, Blake W Johnson

Abstract readReview
In one paragraph

Review in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Multimodal MEG and Microstructure-MRI Investigations of the Human Hippocampal Scene Network.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. A role for the fornix in temporal sequence memory.The European journal of neuroscience · 2023
    Article
  6. Recurrent Hippocampo-neocortical sleep-state divergence in humans.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. The hippocampus as the switchboard between perception and memory.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Alpha Rhythms Reveal When and Where Item and Associative Memories Are Retrieved.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  17. Hippocampal and Prefrontal Theta-Band Mechanisms Underpin Implicit Spatial Context Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yi PuARC Centre of Excellence in Cognition and its Disorders, Macquarie University, Sydney, NSW, Australia.
Douglas O CheyneProgram in Neurosciences and Mental Health, Hospital for Sick Children Research Institute, Toronto, ON, Canada.
Brian R CornwellBrain and Psychological Sciences Research Centre, Swinburne University of Technology, Melbourne, VIC, Australia.
Blake W JohnsonARC Centre of Excellence in Cognition and its Disorders, Macquarie University, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hippocampal rhythms are believed to support crucial cognitive processes including memory, navigation, and language. Due to the location of the hippocampus deep in the brain, studying hippocampal rhythms using non-invasive magnetoencephalography (MEG) recordings has generally been assumed to be methodologically challenging. However, with the advent of whole-head MEG systems in the 1990s and development of advanced source localization techniques, simulation and empirical studies have provided evidence that human hippocampal signals can be sensed by MEG and reliably reconstructed by source localization algorithms. This paper systematically reviews simulation studies and empirical evidence of the current capacities and limitations of MEG "deep source imaging" of the human hippocampus. Overall, these studies confirm that MEG provides a unique avenue to investigate human hippocampal rhythms in cognition, and can bridge the gap between animal studies and human hippocampal research, as well as elucidate the functional role and the behavioral correlates of human hippocampal oscillations.

Indexed as

deep source imaginghippocampusmagnetoencephalography (MEG)reviewsimulation and empirical evidence

Identifiers

PMID29755314
PMCPMC5932174

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.