Evidence map›Paper›PMID 30378210›Full record

SynthesisHuman brain mapping2019

Characterizing hippocampal dynamics with MEG: A systematic review and evidence-based guidelines.

Emily Ruzich, Maité Crespo-García, Sarang S Dalal, Justin F Schneiderman

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% of its field
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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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
  9. Neocortical and Hippocampal Theta Oscillations Track Audiovisual Integration and Replay of Speech Memories.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Eavesdropping on Tinnitus Using MEG: Lessons Learned and Future Perspectives.Journal of the Association for Research in Otolaryngology : JARO · 2023
    Review
  14. Article
  15. Review
  16. Article
  17. Anterior Cingulate Cortex Signals the Need to Control Intrusive Thoughts during Motivated Forgetting.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  18. Article
  19. The hippocampus as the switchboard between perception and memory.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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 at 3 institutions in 3 countries.

Emily RuzichDepartment of Clinical Neurophysiology and MedTech West, Institute of Neuroscience and Physiology, Sahlgrenska Academy & the University of Gothenburg, Gothenburg, Sweden.
Maité Crespo-GarcíaMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
Sarang S DalalCenter of Functionally Integrative Neuroscience, Aarhus University, Aarhus C, Denmark.
Justin F SchneidermanDepartment of Clinical Neurophysiology and MedTech West, Institute of Neuroscience and Physiology, Sahlgrenska Academy & the University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-4441-2360
University of Gothenburg · SEAarhus University · DKMRC Cognition and Brain Sciences Unit · GB

Funding

Barncancerfonden MT2014-0007European Research Council 640448H2020 European Research Council 640488Knut och Alice Wallenbergs Stiftelse 2014.0102Medical Research Council MC_UU_00005/1Newton International Fellowship, The Royal Society, UK NF171519Vetenskapsrådet 2017-00680621-2012-3673
6 · The paper itself

Abstract

The hippocampus, a hub of activity for a variety of important cognitive processes, is a target of increasing interest for researchers and clinicians. Magnetoencephalography (MEG) is an attractive technique for imaging spectro-temporal aspects of function, for example, neural oscillations and network timing, especially in shallow cortical structures. However, the decrease in MEG signal-to-noise ratio as a function of source depth implies that the utility of MEG for investigations of deeper brain structures, including the hippocampus, is less clear. To determine whether MEG can be used to detect and localize activity from the hippocampus, we executed a systematic review of the existing literature and found successful detection of oscillatory neural activity originating in the hippocampus with MEG. Prerequisites are the use of established experimental paradigms, adequate coregistration, forward modeling, analysis methods, optimization of signal-to-noise ratios, and protocol trial designs that maximize contrast for hippocampal activity while minimizing those from other brain regions. While localizing activity to specific sub-structures within the hippocampus has not been achieved, we provide recommendations for improving the reliability of such endeavors.

Indexed as

Brain MappingHippocampusHumansMagnetoencephalographybeamformingdeep sourcesdeep structureshippocampusmagnetoencephalographyMEGneural oscillationssource localizationtheta

Identifiers

PMID30378210
PMCPMC6456020
OpenAlexW2898938500

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.