Evidence map›Paper›PMID 24611061›Full record

ArticleFrontiers in psychology2014

Robust discrimination between EEG responses to categories of environmental sounds in early coma.

Natacha Cossy, Athina Tzovara, Alexandre Simonin, Andrea O Rossetti, Marzia De Lucia

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 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

5 authors at 2 institutions in 1 country.

Natacha CossyElectroencephalography Brain Mapping Core, Center for Biomedical Imaging (CIBM), University Hospital Center, University of Lausanne Lausanne, Switzerland ; Department of Radiology, University Hospital Center, University of Lausanne Lausanne, Switzerland.
Athina TzovaraElectroencephalography Brain Mapping Core, Center for Biomedical Imaging (CIBM), University Hospital Center, University of Lausanne Lausanne, Switzerland ; Department of Radiology, University Hospital Center, University of Lausanne Lausanne, Switzerland.
Alexandre SimoninDepartment of Clinical Neurosciences, University Hospital Center, University of Lausanne Lausanne, Switzerland.
Andrea O RossettiDepartment of Clinical Neurosciences, University Hospital Center, University of Lausanne Lausanne, Switzerland.
Marzia De LuciaElectroencephalography Brain Mapping Core, Center for Biomedical Imaging (CIBM), University Hospital Center, University of Lausanne Lausanne, Switzerland ; Department of Radiology, University Hospital Center, University of Lausanne Lausanne, Switzerland.
University of Lausanne · CHCentre d'Imagerie BioMedicale · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans can recognize categories of environmental sounds, including vocalizations produced by humans and animals and the sounds of man-made objects. Most neuroimaging investigations of environmental sound discrimination have studied subjects while consciously perceiving and often explicitly recognizing the stimuli. Consequently, it remains unclear to what extent auditory object processing occurs independently of task demands and consciousness. Studies in animal models have shown that environmental sound discrimination at a neural level persists even in anesthetized preparations, whereas data from anesthetized humans has thus far provided null results. Here, we studied comatose patients as a model of environmental sound discrimination capacities during unconsciousness. We included 19 comatose patients treated with therapeutic hypothermia (TH) during the first 2 days of coma, while recording nineteen-channel electroencephalography (EEG). At the level of each individual patient, we applied a decoding algorithm to quantify the differential EEG responses to human vs. animal vocalizations as well as to sounds of living vocalizations vs. man-made objects. Discrimination between vocalization types was accurate in 11 patients and discrimination between sounds from living and man-made sources in 10 patients. At the group level, the results were significant only for the comparison between vocalization types. These results lay the groundwork for disentangling truly preferential activations in response to auditory categories, and the contribution of awareness to auditory category discrimination.

Indexed as

auditory processingcomaenvironmental soundsmultivariate decodingsingle-trial EEGvoice

Identifiers

PMID24611061
PMCPMC3933775
OpenAlexW2058177489

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.