Evidence map›Paper›PMID 34406888›Full record

ArticleJournal of neurophysiology2021

Within-cycle instantaneous frequency profiles report oscillatory waveform dynamics.

Andrew J Quinn, Vítor Lopes-Dos-Santos, Norden Huang, Wei-Kuang Liang, Chi-Hung Juan, Jia-Rong Yeh, Anna C Nobre, David Dupret, Mark W Woolrich

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
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  4. NovelImaging neuroscience (Cambridge, Mass.) · 2025
    Article
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  6. CRASH2p: Closed-loop Two Photon Imaging in a Freely Moving Animal.bioRxiv : the preprint server for biology · 2024
    Article
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  13. Review
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  19. Understanding Harmonic Structures Through Instantaneous Frequency.IEEE open journal of signal processing · 2022
    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 at 2 institutions in 3 countries.

Andrew J QuinnOxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-2267-9897
Vítor Lopes-Dos-SantosMedical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Norden HuangData Analysis and Application Laboratory, Innovation Centre, The First Institute of Oceanography, Qingdao, China.
Wei-Kuang LiangCognitive Intelligence and Precision Healthcare Centre, National Central University, Taoyuan City, Taiwan.
Chi-Hung JuanCognitive Intelligence and Precision Healthcare Centre, National Central University, Taoyuan City, Taiwan.
Jia-Rong YehPilot National Laboratory for Marine Science and Technology, Qingdao, China.
Anna C NobreOxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-5762-2802
David DupretMedical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-0040-1766
Mark W WoolrichOxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, United Kingdom.
University of Oxford · GBNational Central University · TW

Funding

Medical Research Council MC_UU_00003/4Medical Research Council MC_UU_12024/3Medical Research Council MR/L023784/2Wellcome Trust 104571Wellcome Trust 104571/Z/14/ZWellcome Trust 106183Wellcome Trust 106183/Z/14/Z; 215573/Z/19/ZWellcome Trust 203139Wellcome Trust 203139/Z/16/ZWellcome Trust 215573
6 · The paper itself

Abstract

The nonsinusoidal waveform is emerging as an important feature of neuronal oscillations. However, the role of single-cycle shape dynamics in rapidly unfolding brain activity remains unclear. Here, we develop an analytical framework that isolates oscillatory signals from time series using masked empirical mode decomposition to quantify dynamical changes in the shape of individual cycles (along with amplitude, frequency, and phase) with instantaneous frequency. We show how phase-alignment, a process of projecting cycles into a regularly sampled phase grid space, makes it possible to compare cycles of different durations and shapes. "Normalized shapes" can then be constructed with high temporal detail while accounting for differences in both duration and amplitude. We find that the instantaneous frequency tracks nonsinusoidal shapes in both simulated and real data. Notably, in local field potential recordings of mouse hippocampal CA1, we find that theta oscillations have a stereotyped slow-descending slope in the cycle-wise average yet exhibit high variability on a cycle-by-cycle basis. We show how principal component analysis allows identification of motifs of theta cycle waveform that have distinct associations to cycle amplitude, cycle duration, and animal movement speed. By allowing investigation into oscillation shape at high temporal resolution, this analytical framework will open new lines of inquiry into how neuronal oscillations support moment-by-moment information processing and integration in brain networks.

Indexed as

Signal Processing, Computer-AssistedAnimalsBrain WavesCA1 Region, HippocampalElectroencephalographyMiceTheta RhythmEMDinstantaneous frequencynonsinusoidaloscillationswaveform shape

Identifiers

PMID34406888
PMCPMC7611760
OpenAlexW3195894523

What OpenQuestion holds

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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.