Evidence map›Paper›PMID 35351829›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2022

Cross-Frequency Brain Network Dynamics Support Pitch Change Detection.

Soheila Samiee, Dominique Vuvan, Esther Florin, Philippe Albouy, Isabelle Peretz, Sylvain Baillet

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 3 institutions in 3 countries.

Soheila SamieeMcConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A2B4, Canada.ORCID https://orcid.org/0000-0001-6971-7665
Dominique VuvanInternational Laboratory for Brain, Music, and Sound Research, University of Montreal, Montreal, Quebec H3C 3J7, Canada.
Esther FlorinMcConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A2B4, Canada.
Philippe AlbouyMcConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A2B4, Canada.
Isabelle PeretzInternational Laboratory for Brain, Music, and Sound Research, University of Montreal, Montreal, Quebec H3C 3J7, Canada.ORCID https://orcid.org/0000-0003-3572-0262
Sylvain BailletMcConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A2B4, Canada sylvain.baillet@mcgill.ca.ORCID https://orcid.org/0000-0002-6762-5713
Montreal Neurological Institute and Hospital · CAInternational Laboratory for Brain, Music and Sound Research · CASkidmore College · US

Funding

BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG ImagingR01EB026299 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEAHY, RICHARD M · 2018 to 2025
$5.4M
NIBIB NIH HHS R01 EB026299
6 · The paper itself

Abstract

Processing auditory sequences involves multiple brain networks and is crucial to complex perception associated with music appreciation and speech comprehension. We used time-resolved cortical imaging in a pitch change detection task to detail the underlying nature of human brain network activity, at the rapid time scales of neurophysiology. In response to tone sequence presentation to the participants, we observed slow inter-regional signaling at the pace of tone presentations (2-4 Hz) that was directed from auditory cortex toward both inferior frontal and motor cortices. Symmetrically, motor cortex manifested directed influence onto auditory and inferior frontal cortices via bursts of faster (15-35 Hz) activity. These bursts occurred precisely at the expected latencies of each tone in a sequence. This expression of interdependency between slow/fast neurophysiological activity yielded a form of local cross-frequency phase-amplitude coupling in auditory cortex, which strength varied dynamically and peaked when pitch changes were anticipated. We clarified the mechanistic relevance of these observations in relation to behavior by including a group of individuals afflicted by congenital amusia, as a model of altered function in processing sound sequences. In amusia, we found a depression of inter-regional slow signaling toward motor and inferior frontal cortices, and a chronic overexpression of slow/fast phase-amplitude coupling in auditory cortex. These observations are compatible with a misalignment between the respective neurophysiological mechanisms of stimulus encoding and internal predictive signaling, which was absent in controls. In summary, our study provides a functional and mechanistic account of neurophysiological activity for predictive, sequential timing of auditory inputs.

Indexed as

Auditory CortexAuditory Perceptual DisordersAcoustic StimulationBrainHumansPitch Perceptionauditioncongenital amusianeural oscillationsphase-amplitude couplingpitch discriminationpredictive coding

Identifiers

PMID35351829
PMCPMC9087716
OpenAlexW4220755228

What OpenQuestion holds

Textmetadata
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.