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Multimodal characterization of the semantic N400 response within a rapid evaluation brain vital sign framework

Overview of attention for article published in Journal of Translational Medicine, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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2 news outlets
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4 X users
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1 Wikipedia page

Citations

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31 Dimensions

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60 Mendeley
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Title
Multimodal characterization of the semantic N400 response within a rapid evaluation brain vital sign framework
Published in
Journal of Translational Medicine, June 2018
DOI 10.1186/s12967-018-1527-2
Pubmed ID
Authors

Sujoy Ghosh Hajra, Careesa C. Liu, Xiaowei Song, Shaun D. Fickling, Teresa P. L. Cheung, Ryan C. N. D’Arcy

Abstract

For nearly four decades, the N400 has been an important brainwave marker of semantic processing. It can be recorded non-invasively from the scalp using electrical and/or magnetic sensors, but largely within the restricted domain of research laboratories specialized to run specific N400 experiments. However, there is increasing evidence of significant clinical utility for the N400 in neurological evaluation, particularly at the individual level. To enable clinical applications, we recently reported a rapid evaluation framework known as "brain vital signs" that successfully incorporated the N400 response as one of the core components for cognitive function evaluation. The current study characterized the rapidly evoked N400 response to demonstrate that it shares consistent features with traditional N400 responses acquired in research laboratory settings-thereby enabling its translation into brain vital signs applications. Data were collected from 17 healthy individuals using magnetoencephalography (MEG) and electroencephalography (EEG), with analysis of sensor-level effects as well as evaluation of brain sources. Individual-level N400 responses were classified using machine learning to determine the percentage of participants in whom the response was successfully detected. The N400 response was observed in both M/EEG modalities showing significant differences to incongruent versus congruent condition in the expected time range (p < 0.05). Also as expected, N400-related brain activity was observed in the temporal and inferior frontal cortical regions, with typical left-hemispheric asymmetry. Classification robustly confirmed the N400 effect at the individual level with high accuracy (89%), sensitivity (0.88) and specificity (0.90). The brain vital sign N400 characteristics were highly consistent with features of the previously reported N400 responses acquired using traditional laboratory-based experiments. These results provide important evidence supporting clinical translation of the rapidly acquired N400 response as a potential tool for assessments of higher cognitive functions.

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 17%
Student > Ph. D. Student 9 15%
Researcher 5 8%
Student > Doctoral Student 3 5%
Student > Bachelor 3 5%
Other 10 17%
Unknown 20 33%
Readers by discipline Count As %
Neuroscience 10 17%
Engineering 7 12%
Linguistics 6 10%
Psychology 3 5%
Nursing and Health Professions 3 5%
Other 9 15%
Unknown 22 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 July 2019.
All research outputs
#1,451,521
of 23,088,369 outputs
Outputs from Journal of Translational Medicine
#248
of 4,051 outputs
Outputs of similar age
#33,515
of 329,877 outputs
Outputs of similar age from Journal of Translational Medicine
#3
of 92 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,051 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,877 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.