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Convergent functional architecture of the superior parietal lobule unraveled with multimodal neuroimaging approaches

Overview of attention for article published in Human Brain Mapping, September 2014
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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1 Wikipedia page

Citations

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Title
Convergent functional architecture of the superior parietal lobule unraveled with multimodal neuroimaging approaches
Published in
Human Brain Mapping, September 2014
DOI 10.1002/hbm.22626
Pubmed ID
Authors

Jiaojian Wang, Yong Yang, Lingzhong Fan, Jinping Xu, Changhai Li, Yong Liu, Peter T. Fox, Simon B. Eickhoff, Chunshui Yu, Tianzi Jiang

Abstract

The superior parietal lobule (SPL) plays a pivotal role in many cognitive, perceptive, and motor-related processes. This implies that a mosaic of distinct functional and structural subregions may exist in this area. Recent studies have demonstrated that the ongoing spontaneous fluctuations in the brain at rest are highly structured and, like coactivation patterns, reflect the integration of cortical locations into long-distance networks. This suggests that the internal differentiation of a complex brain region may be revealed by interaction patterns that are reflected in different neuroimaging modalities. On the basis of this perspective, we aimed to identify a convergent functional organization of the SPL using multimodal neuroimaging approaches. The SPL was first parcellated based on its structural connections as well as on its resting-state connectivity and coactivation patterns. Then, post hoc functional characterizations and connectivity analyses were performed for each subregion. The three types of connectivity-based parcellations consistently identified five subregions in the SPL of each hemisphere. The two anterior subregions were found to be primarily involved in action processes and in visually guided visuomotor functions, whereas the three posterior subregions were primarily associated with visual perception, spatial cognition, reasoning, working memory, and attention. This parcellation scheme for the SPL was further supported by revealing distinct connectivity patterns for each subregion in all the used modalities. These results thus indicate a convergent functional architecture of the SPL that can be revealed based on different types of connectivity and is reflected by different functions and interactions. Hum Brain Mapp, 36:238-257, 2015. © 2014 Wiley Periodicals, Inc.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 <1%
Canada 1 <1%
Unknown 156 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 27%
Researcher 24 15%
Student > Master 23 15%
Student > Bachelor 13 8%
Student > Doctoral Student 9 6%
Other 22 14%
Unknown 25 16%
Readers by discipline Count As %
Neuroscience 44 28%
Psychology 27 17%
Medicine and Dentistry 16 10%
Engineering 5 3%
Agricultural and Biological Sciences 5 3%
Other 14 9%
Unknown 47 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 18 July 2023.
All research outputs
#7,047,954
of 25,374,917 outputs
Outputs from Human Brain Mapping
#1,744
of 4,406 outputs
Outputs of similar age
#64,663
of 248,617 outputs
Outputs of similar age from Human Brain Mapping
#28
of 62 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,406 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 59% 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 248,617 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 62 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 54% of its contemporaries.