Evidence map›Paper›PMID 34658820›Full record

ArticleFrontiers in human neuroscience2021

Arousal State-Dependence of Interactions Between Short- and Long-Term Auditory Novelty Responses in Human Subjects.

Kirill V Nourski, Mitchell Steinschneider, Ariane E Rhone, Rashmi N Mueller, Hiroto Kawasaki, Matthew I Banks

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 1 country.

Kirill V NourskiHuman Brain Research Laboratory, Department of Neurosurgery, The University of Iowa, Iowa City, IA, United States.
Mitchell SteinschneiderDepartment of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States.
Ariane E RhoneHuman Brain Research Laboratory, Department of Neurosurgery, The University of Iowa, Iowa City, IA, United States.
Rashmi N MuellerHuman Brain Research Laboratory, Department of Neurosurgery, The University of Iowa, Iowa City, IA, United States.
Hiroto KawasakiHuman Brain Research Laboratory, Department of Neurosurgery, The University of Iowa, Iowa City, IA, United States.
Matthew I BanksDepartment of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States.
University of Iowa · USAlbert Einstein College of Medicine · USUniversity of Wisconsin–Madison · US

Funding

SUPPORT FOR THE ROSE F KENNEDY IDDRC P50P50HD105352 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Julie Secombe · 2021 to 2026
$7.0M
Thalamic and cortical mechanisms of anesthetic-induced unconsciousnessR01GM109086 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Matthew I Banks, Kirill V Nourski · 2014 to 2026
$5.7M
NICHD NIH HHS P50 HD105352NIGMS NIH HHS R01 GM109086
6 · The paper itself

Abstract

In everyday life, predictable sensory stimuli are generally not ecologically informative. By contrast, novel or unexpected stimuli signal ecologically salient changes in the environment. This idea forms the basis of the predictive coding hypothesis: efficient sensory encoding minimizes neural activity associated with predictable backgrounds and emphasizes detection of changes in the environment. In real life, the brain must resolve multiple unexpected sensory events occurring over different time scales. The local/global deviant experimental paradigm examines auditory predictive coding over multiple time scales. For short-term novelty [hundreds of milliseconds; local deviance (LD)], sequences of identical sounds (/xxxxx/) are interspersed with sequences that contain deviants (/xxxxy/). Long-term novelty [several seconds; global deviance (GD)] is created using either (a) frequent /xxxxx/ and infrequent /xxxxy/ sequences, or (b) frequent /xxxxy/ and infrequent /xxxxx/ sequences. In scenario (a), there is both an LD and a GD effect (LDGD, "double surprise"). In (b), the global deviant is a local standard, i.e., sequence of identical sounds (LSGD). Cortical responses reflecting LD and GD originate in different brain areas, have a different time course, and are differentially sensitive to general anesthesia. Neural processes underlying LD and GD have been shown to interact, reflecting overlapping networks subserving the detection of novel auditory stimuli. This study examined these interactions using intracranial electroencephalography in neurosurgical patients. Subjects performed a GD target detection task before and during induction of anesthesia with propofol. Recordings were made from the auditory cortex, surrounding auditory-related and prefrontal cortex in awake, sedated, and unresponsive states. High gamma activity was used to measure the neural basis of local-by-global novelty interactions. Positive interaction was defined as a greater response to the double surprise LDGD condition compared to LSGD. Negative interaction was defined as a weaker response to LDGD. Positive interaction was more frequent than negative interaction and was primarily found in auditory cortex. Negative interaction typically occurred in prefrontal cortex and was more sensitive to general anesthesia. Temporo-parietal auditory-related areas exhibited both types of interaction. These interactions may have relevance in a clinical setting as biomarkers of conscious perception in the assessment of depth of anesthesia and disorders of consciousness.

Indexed as

auditory cortexconsciousnessgeneral anesthesiahigh gammaiEEGlocal/global deviantpredictive codingpropofol

Identifiers

PMID34658820
PMCPMC8517406
OpenAlexW3202968269

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.