Evidence map›Paper›PMID 27375465›Full record

ArticleFrontiers in human neuroscience2016

Interpretations of Frequency Domain Analyses of Neural Entrainment: Periodicity, Fundamental Frequency, and Harmonics.

Hong Zhou, Lucia Melloni, David Poeppel, Nai Ding

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

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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

4 authors.

Hong ZhouCollege of Biomedical Engineering and Instrument Sciences, Zhejiang University Hangzhou, China.
Lucia MelloniDepartment of Neurology, New York University Langone Medical CenterNew York, NY, USA; Department of Neurophysiology, Max-Planck Institute for Brain ResearchFrankfurt, Germany.
David PoeppelNeuroscience Department, Max-Planck Institute for Empirical AestheticsFrankfurt, Germany; Department of Psychology, New York UniversityNew York, NY, USA.
Nai DingCollege of Biomedical Engineering and Instrument Sciences, Zhejiang UniversityHangzhou, China; Interdisciplinary Center for Social Sciences, Zhejiang UniversityHangzhou, China; Neuro and Behavior EconLab, Zhejiang University of Finance and EconomicsHangzhou, China.

Funding

Cortical Mechanisms in Speech Perception: MEG StudiesR01DC005660 · NIDCD · UNIV OF MARYLAND, COLLEGE PARK · PI POEPPEL, DAVID E · 2002 to 2018
$7.6M
NIDCD NIH HHS R01 DC005660
6 · The paper itself

Abstract

Brain activity can follow the rhythms of dynamic sensory stimuli, such as speech and music, a phenomenon called neural entrainment. It has been hypothesized that low-frequency neural entrainment in the neural delta and theta bands provides a potential mechanism to represent and integrate temporal information. Low-frequency neural entrainment is often studied using periodically changing stimuli and is analyzed in the frequency domain using the Fourier analysis. The Fourier analysis decomposes a periodic signal into harmonically related sinusoids. However, it is not intuitive how these harmonically related components are related to the response waveform. Here, we explain the interpretation of response harmonics, with a special focus on very low-frequency neural entrainment near 1 Hz. It is illustrated why neural responses repeating at f Hz do not necessarily generate any neural response at f Hz in the Fourier spectrum. A strong neural response at f Hz indicates that the time scales of the neural response waveform within each cycle match the time scales of the stimulus rhythm. Therefore, neural entrainment at very low frequency implies not only that the neural response repeats at f Hz but also that each period of the neural response is a slow wave matching the time scale of a f Hz sinusoid.

Indexed as

harmonicsneural entrainmentoscillationsperiodicityrhythm

Identifiers

PMID27375465
PMCPMC4893549

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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.