Evidence map›Paper›PMID 38570628›Full record

ArticleCommunications biology2024

Rhythmicity of neuronal oscillations delineates their cortical and spectral architecture.

Vladislav Myrov, Felix Siebenhühner, Joonas J Juvonen, Gabriele Arnulfo, Satu Palva, J Matias Palva

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Tracking electrophysiological signatures of Alzheimer's disease: a systematic review of multimodal studies.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Pooled it
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  7. Hierarchical whole-brain modeling of critical synchronization dynamics in the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  9. Toward Unified Biomarkers for Focal Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
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  12. Changes in aperiodic (1/bioRxiv : the preprint server for biology · 2025
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  16. [Research on the relationship between resting-state spontaneous electroencephalography and task-evoked electroencephalography].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Review
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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

6 authors.

Vladislav MyrovDepartment of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland. vladislav.myrov@aalto.fi.ORCID 0000-0001-5147-2727
Felix SiebenhühnerNeuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-2621-9145
Joonas J JuvonenDepartment of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland.ORCID 0000-0001-5876-6488
Gabriele ArnulfoNeuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-1140-0320
Satu PalvaNeuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-9496-7391
J Matias PalvaDepartment of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland.ORCID 0000-0003-1885-2749

Funding

Academy of Finland (Suomen Akatemia) 253130Academy of Finland (Suomen Akatemia) 256472Academy of Finland (Suomen Akatemia) 266402Academy of Finland (Suomen Akatemia) 266745Academy of Finland (Suomen Akatemia) 281414Academy of Finland (Suomen Akatemia) 296304Academy of Finland (Suomen Akatemia) 303933Academy of Finland (Suomen Akatemia) 325404Suomen Kulttuurirahasto (Finnish Cultural Foundation) 12938
6 · The paper itself

Abstract

Neuronal oscillations are commonly analyzed with power spectral methods that quantify signal amplitude, but not rhythmicity or 'oscillatoriness' per se. Here we introduce a new approach, the phase-autocorrelation function (pACF), for the direct quantification of rhythmicity. We applied pACF to human intracerebral stereoelectroencephalography (SEEG) and magnetoencephalography (MEG) data and uncovered a spectrally and anatomically fine-grained cortical architecture in the rhythmicity of single- and multi-frequency neuronal oscillations. Evidencing the functional significance of rhythmicity, we found it to be a prerequisite for long-range synchronization in resting-state networks and to be dynamically modulated during event-related processing. We also extended the pACF approach to measure 'burstiness' of oscillatory processes and characterized regions with stable and bursty oscillations. These findings show that rhythmicity is double-dissociable from amplitude and constitutes a functionally relevant and dynamic characteristic of neuronal oscillations.

Indexed as

MagnetoencephalographyPeriodicityAttentionHumansNeuronsStereotaxic Techniques

Identifiers

PMID38570628
PMCPMC10991572

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.