Evidence map›Paper›PMID 26843608›Full record

ArticleJournal of neurophysiology2016

Neural correlates of behavioral amplitude modulation sensitivity in the budgerigar midbrain.

Kenneth S Henry, Erikson G Neilans, Kristina S Abrams, Fabio Idrobo, Laurel H Carney

Open access · bronzeAbstract read
In one paragraph

Article in Journal of neurophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

24 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
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  5. Forward masking of amplitude modulation: Sensory versus perceptual components.The Journal of the Acoustical Society of America · 2025
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  11. Review
  12. Midbrain-Level Neural Correlates of Behavioral Tone-in-Noise Detection: Dependence on Energy and Envelope Cues.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  13. Review
  14. Article
  15. Normal Tone-In-Noise Sensitivity in Trained Budgerigars despite Substantial Auditory-Nerve Injury: No Evidence of Hidden Hearing Loss.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  16. Animal Models of Tinnitus Treatment: Cochlear and Brain Stimulation.Current topics in behavioral neurosciences · 2021
    Article
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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

5 authors at 3 institutions in 2 countries.

Kenneth S HenryDepartment of Biomedical Engineering, University of Rochester, Rochester, New York; kenneth_henry@urmc.rochester.edu.
Erikson G NeilansDepartment of Psychology, University at Buffalo, Buffalo, New York;
Kristina S AbramsDepartment of Neuroscience, University of Rochester, Rochester, New York;
Fabio IdroboDepartment of Psychological and Brain Sciences, Boston University, Boston, Massachusetts; and Universidad de Los Andes, Bogotá, Colombia.
Laurel H CarneyDepartment of Biomedical Engineering, University of Rochester, Rochester, New York; Department of Neuroscience, University of Rochester, Rochester, New York;
University of Rochester · USUniversidad de Los Andes · COUniversity at Buffalo, State University of New York · US

Funding

AUDITORY PROCESSING OF COMPLEX SOUNDSR01DC001641 · NIDCD · UNIVERSITY OF ROCHESTER · PI Kenneth Stuart Henry · 1997 to 2026
$11.4M
Effects of auditory nerve degeneration on midbrain coding and perception in noiseK99DC013792 · NIDCD · UNIVERSITY OF ROCHESTER · PI HENRY, KENNETH STUART · 2014 to 2015
$180k
NIDCD NIH HHS K99 DC013792NIDCD NIH HHS K99-DC013792NIDCD NIH HHS R01 DC001641NIDCD NIH HHS R01-DC001641
6 · The paper itself

Abstract

Amplitude modulation (AM) is a crucial feature of many communication signals, including speech. Whereas average discharge rates in the auditory midbrain correlate with behavioral AM sensitivity in rabbits, the neural bases of AM sensitivity in species with human-like behavioral acuity are unexplored. Here, we used parallel behavioral and neurophysiological experiments to explore the neural (midbrain) bases of AM perception in an avian speech mimic, the budgerigar (Melopsittacus undulatus). Behavioral AM sensitivity was quantified using operant conditioning procedures. Neural AM sensitivity was studied using chronically implanted microelectrodes in awake, unrestrained birds. Average discharge rates of multiunit recording sites in the budgerigar midbrain were insufficient to explain behavioral sensitivity to modulation frequencies <100 Hz for both tone- and noise-carrier stimuli, even with optimal pooling of information across recording sites. Neural envelope synchrony, in contrast, could explain behavioral performance for both carrier types across the full range of modulation frequencies studied (16-512 Hz). The results suggest that envelope synchrony in the budgerigar midbrain may underlie behavioral sensitivity to AM. Behavioral AM sensitivity based on synchrony in the budgerigar, which contrasts with rate-correlated behavioral performance in rabbits, raises the possibility that envelope synchrony, rather than average discharge rate, might also underlie AM perception in other species with sensitive AM detection abilities, including humans. These results highlight the importance of synchrony coding of envelope structure in the inferior colliculus. Furthermore, they underscore potential benefits of devices (e.g., midbrain implants) that evoke robust neural synchrony.

Indexed as

Vocalization, AnimalAction PotentialsAnimalsConditioning, OperantMelopsittacusMesencephalonamplitude modulationauditory midbrainbudgerigarenvelope synchronyinferior colliculus

Identifiers

PMID26843608
PMCPMC4869485
OpenAlexW2254085340

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.