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Determination of the posterior boundary of Wernicke's area based on multimodal connectivity profiles

Overview of attention for article published in Human Brain Mapping, January 2015
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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1 Wikipedia page

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Title
Determination of the posterior boundary of Wernicke's area based on multimodal connectivity profiles
Published in
Human Brain Mapping, January 2015
DOI 10.1002/hbm.22745
Pubmed ID
Authors

Jiaojian Wang, Lingzhong Fan, Yinyan Wang, Wenting Xu, Tao Jiang, Peter T. Fox, Simon B. Eickhoff, Chunshui Yu, Tianzi Jiang

Abstract

Wernicke's area is one of the most important language regions and has been widely studied in both basic research and clinical neurology. However, its exact anatomy has been controversial. In this study, we proposed to address the anatomy of Wernicke's area by investigating different connectivity profiles. First, the posterior superior temporal gyrus (STG), traditionally called "Wernicke's area", was parcellated into three component subregions with diffusion MRI. Then, whole-brain anatomical connectivity, resting-state functional connectivity (RSFC) and meta-analytic connectivity modeling (MACM) analyses were used to establish the anatomical, resting-state and task-related coactivation network of each subregion to identify which subregions participated in the language network. In addition, behavioral domain analysis, meta-analyses of semantics, execution speech, and phonology and intraoperative electrical stimulation were used to determine which subregions were involved in language processing. Anatomical connectivity, RSFC and MACM analyses consistently identified that the two anterior subregions in the posterior STG primarily participated in the language network, whereas the most posterior subregion in the temporoparietal junction area primarily participated in the default mode network. Moreover, the behavioral domain analyses, meta-analyses of semantics, execution speech and phonology and intraoperative electrical stimulation mapping also confirmed that only the two anterior subregions were involved in language processing, whereas the most posterior subregion primarily participated in social cognition. Our findings revealed a convergent posterior anatomical border for Wernicke's area and indicated that the brain's functional subregions can be identified on the basis of its specific structural and functional connectivity patterns. Hum Brain Mapp, 2015. © 2014 Wiley Periodicals, Inc.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Germany 1 <1%
United Kingdom 1 <1%
Italy 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 96 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 22%
Researcher 11 11%
Student > Bachelor 10 10%
Student > Doctoral Student 9 9%
Student > Master 9 9%
Other 24 23%
Unknown 17 17%
Readers by discipline Count As %
Neuroscience 20 19%
Psychology 18 17%
Medicine and Dentistry 14 14%
Agricultural and Biological Sciences 5 5%
Engineering 4 4%
Other 16 16%
Unknown 26 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 December 2023.
All research outputs
#7,201,032
of 24,978,429 outputs
Outputs from Human Brain Mapping
#1,813
of 4,361 outputs
Outputs of similar age
#93,188
of 363,422 outputs
Outputs of similar age from Human Brain Mapping
#31
of 68 outputs
Altmetric has tracked 24,978,429 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,361 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has gotten more attention than average, scoring higher than 57% 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 363,422 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.