| 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 23% |
| Student > Bachelor | 5 | 13% |
| Student > Master | 5 | 13% |
| Researcher | 5 | 13% |
| Professor > Associate Professor | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 9 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 13 | 33% |
| Neuroscience | 5 | 13% |
| Nursing and Health Professions | 4 | 10% |
| Medicine and Dentistry | 4 | 10% |
| Social Sciences | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 10 | 26% |
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
#22,767,715
of 25,382,440 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,583
of 3,131 outputs
Outputs of similar age
#303,768
of 343,807 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#59
of 77 outputs
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