Evidence map›Paper›PMID 31356598›Full record

ArticlePLoS biology2019

Spectral fingerprints or spectral tilt? Evidence for distinct oscillatory signatures of memory formation.

Marie-Christin Fellner, Stephanie Gollwitzer, Stefan Rampp, Gernot Kreiselmeyr, Daniel Bush, Beate Diehl, Nikolai Axmacher, Hajo Hamer, Simon Hanslmayr

Abstract read
In one paragraph

Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Automaticity speeds the retrieval of instances from the human hippocampus.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  5. Time-Resolved Aperiodic and Oscillatory Dynamics during Human Visual Memory Encoding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  6. Neural dynamics of social verb processing: an MEG study.Social cognitive and affective neuroscience · 2025
    Article
  7. Article
  8. Review
  9. Cross-regional coordination of activity in the human brain during autobiographical self-referential processing.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Cognition is an emergent property.Current opinion in behavioral sciences · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Hippocampal activity predicts contextual misattribution of false memories.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. High gamma activity distinguishes frontal cognitive control regions from adjacent cortical networks.Cortex; a journal devoted to the study of the nervous system and behavior · 2023
    Article
  19. Hippocampal Theta and Episodic Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    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

9 authors.

Marie-Christin FellnerDepartment of Neuropsychology, Institute of Cognitive Neuroscience, Ruhr University Bochum, Bochum, Germany.ORCID 0000-0001-6639-9833
Stephanie GollwitzerEpilepsy Center, Department of Neurology, University Hospital Erlangen, Erlangen, Germany.
Stefan RamppDepartment of Neurosurgery, University Hospital Erlangen, Erlangen, Germany.
Gernot KreiselmeyrEpilepsy Center, Department of Neurology, University Hospital Erlangen, Erlangen, Germany.
Daniel BushInstitute of Cognitive Neuroscience, University College London, London, United Kingdom.
Beate DiehlDepartment of Clinical Neurophysiology, National Hospital for Neurology and Neurosurgery, London, United Kingdom.ORCID 0000-0002-6896-854X
Nikolai AxmacherDepartment of Neuropsychology, Institute of Cognitive Neuroscience, Ruhr University Bochum, Bochum, Germany.
Hajo HamerEpilepsy Center, Department of Neurology, University Hospital Erlangen, Erlangen, Germany.ORCID 0000-0003-1709-8617
Simon HanslmayrSchool of Psychology, Centre for Human Brain Health, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0003-4448-2147

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decreases in low-frequency power (2-30 Hz) alongside high-frequency power increases (>40 Hz) have been demonstrated to predict successful memory formation. Parsimoniously, this change in the frequency spectrum can be explained by one factor, a change in the tilt of the power spectrum (from steep to flat) indicating engaged brain regions. A competing view is that the change in the power spectrum contains several distinct brain oscillatory fingerprints, each serving different computations. Here, we contrast these two theories in a parallel magnetoencephalography (MEG)-intracranial electroencephalography (iEEG) study in which healthy participants and epilepsy patients, respectively, studied either familiar verbal material or unfamiliar faces. We investigated whether modulations in specific frequency bands can be dissociated in time and space and by experimental manipulation. Both MEG and iEEG data show that decreases in alpha/beta power specifically predicted the encoding of words but not faces, whereas increases in gamma power and decreases in theta power predicted memory formation irrespective of material. Critically, these different oscillatory signatures of memory encoding were evident in different brain regions. Moreover, high-frequency gamma power increases occurred significantly earlier compared to low-frequency theta power decreases. These results show that simple "spectral tilt" cannot explain common oscillatory changes and demonstrate that brain oscillations in different frequency bands serve different functions for memory encoding.

Indexed as

AdultBrainCognitionElectroencephalographyEpilepsyFaceFemaleHumansMagnetoencephalographyMaleMemoryMiddle AgedPsycholinguisticsVocabularyYoung Adult

Identifiers

PMID31356598
PMCPMC6687190

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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.