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Language Mapping with Verbs and Sentences in Awake Surgery: A Review

Overview of attention for article published in Neuropsychology Review, April 2014
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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1 blog
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3 X users

Citations

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127 Mendeley
Title
Language Mapping with Verbs and Sentences in Awake Surgery: A Review
Published in
Neuropsychology Review, April 2014
DOI 10.1007/s11065-014-9258-5
Pubmed ID
Authors

Adrià Rofes, Gabriele Miceli

Abstract

Intraoperative language mapping in awake surgery is typically conducted by asking the patient to produce automatic speech and to name objects. These tasks might not map language with sufficient accuracy, as some linguistic processes can only be triggered by tasks that use verbs and sentences. Verb and sentence processing tasks are currently used during surgery, albeit sparsely. Medline, PubMed, and Web of Science records were searched to retrieve studies focused on language mapping with verbs/sentences in awake surgery. We review the tasks reported in the published literature, spell out the language processes assessed by each task, list the cortical and subcortical regions whose stimulation inhibited language processing, and consider the types of errors elicited by stimulation in each region. We argue that using verb tasks allows a more thorough evaluation of language functions. We also argue that verb tasks are preferable to object naming tasks in the case of frontal lesions, as lesion and neuroimaging data demonstrate that these regions play a critical role in verb and sentence processing. We discuss the clinical value of these tasks and the current limitations of the procedure, and provide some guidelines for their development. Future research should aim toward a differentiated approach to language mapping - one that includes the administration of standardized and customizable tests and the use of longitudinal neurocognitive follow-up studies. Further work will allow researchers and clinicians to understand brain and language correlates and to improve the current surgical practice.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Portugal 1 <1%
Germany 1 <1%
Brazil 1 <1%
Italy 1 <1%
Russia 1 <1%
United Kingdom 1 <1%
Unknown 119 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 19%
Student > Ph. D. Student 21 17%
Student > Master 13 10%
Student > Bachelor 12 9%
Student > Postgraduate 6 5%
Other 23 18%
Unknown 28 22%
Readers by discipline Count As %
Psychology 25 20%
Neuroscience 25 20%
Medicine and Dentistry 18 14%
Linguistics 14 11%
Nursing and Health Professions 4 3%
Other 5 4%
Unknown 36 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 03 August 2015.
All research outputs
#3,302,489
of 23,133,982 outputs
Outputs from Neuropsychology Review
#130
of 458 outputs
Outputs of similar age
#30,839
of 204,370 outputs
Outputs of similar age from Neuropsychology Review
#1
of 5 outputs
Altmetric has tracked 23,133,982 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 458 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has gotten more attention than average, scoring higher than 71% 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 204,370 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 84% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them