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The functional and structural characteristics of the emotion network in alexithymia

Overview of attention for article published in Neuropsychiatric Disease and Treatment, April 2018
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Title
The functional and structural characteristics of the emotion network in alexithymia
Published in
Neuropsychiatric Disease and Treatment, April 2018
DOI 10.2147/ndt.s154601
Pubmed ID
Authors

Dai Han, Mei Li, Minjun Mei, Xiaofei Sun

Abstract

Alexithymia is a multifaceted personality trait characterized by emotional dysfunction. In this study, the functional and structural features of the emotion network in alexithymia were investigated using resting-state functional MRI (rsfMRI), voxel-based morphometry (VBM), functional connectivity (FC) analysis, and diffusion tensor imaging (DTI). Alexithymic and non-alexithymic students were recruited from the local university. The intrinsic neural activity and gray matter density of the brain regions in the emotion network were measured using rsfMRI and VBM; the FC and structural connectivity of the brain regions in the emotion network were measured using FC analysis and DTI. The altered intrinsic neural activity in V1, rostral dorsal anterior cingulate cortex, and left amygdala, and the weak FC between V1 and left superior temporal gyrus and V1 and left paracentral lobule in alexithymia subjects were identified. However, no alteration of the structure and structural connectivity of the emotion network was identified. The results indicated that the development of alexithymia might have been caused only by slight alteration of the neural activity. Furthermore, the results suggest that noninvasive treatment technologies for improving the brain activity are suitable for alexithymic individuals.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 25%
Researcher 3 15%
Student > Bachelor 3 15%
Other 2 10%
Student > Ph. D. Student 2 10%
Other 3 15%
Unknown 2 10%
Readers by discipline Count As %
Psychology 7 35%
Nursing and Health Professions 3 15%
Medicine and Dentistry 3 15%
Neuroscience 2 10%
Unspecified 1 5%
Other 1 5%
Unknown 3 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 April 2018.
All research outputs
#12,840,932
of 14,535,828 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,987
of 2,442 outputs
Outputs of similar age
#196,904
of 226,658 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#67
of 76 outputs
Altmetric has tracked 14,535,828 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,442 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 226,658 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.