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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Neural Networks Mediating High-Level Mentalizing in Patients With Right Cerebral Hemispheric Gliomas
|
|---|---|
| Published in |
Frontiers in Behavioral Neuroscience, March 2018
|
| DOI | 10.3389/fnbeh.2018.00033 |
| Pubmed ID | |
| Authors |
Riho Nakajima, Masashi Kinoshita, Hirokazu Okita, Tetsutaro Yahata, Mie Matsui, Mitsutoshi Nakada |
| Abstract |
Mentalizing is the ability to understand others' mental state through external cues. It consists of two networks, namely low-level and high-level metalizing. Although it is an essential function in our daily social life, surgical resection of right cerebral hemisphere disturbs mentalizing processing with high possibility. In the past, little was known about the white matter related to high-level mentalizing, and the conservation of high-level mentalizing during surgery has not been a focus of attention. Therefore, the main purpose of this study was to examine the neural networks underlying high-level mentalizing and then, secondarily, investigate the usefulness of awake surgery in preserving the mentalizing network. A total of 20 patients with glioma localized in the right hemisphere who underwent awake surgery participated in this study. All patients were assigned to two groups: with or without intraoperative assessment of high-level mentalizing. Their high-level mentalizing abilities were assessed before surgery and 1 week and 3 months after surgery. At 3 months after surgery, only patients who received the intraoperative high-level mentalizing test showed the same score as normal healthy volunteers. The tract-based lesion symptom analysis was performed to confirm the severity of damage of associated fibers and high-level mentalizing accuracy. This analysis revealed the superior longitudinal fascicles (SLF) III and fronto-striatal tract (FST) to be associated with high-level mentalizing processing. Moreover, the voxel-based lesion symptom analysis demonstrated that resection of orbito-frontal cortex (OFC) causes persistent mentalizing dysfunction. Our study indicates that damage of the OFC and structural connectivity of the SLF and FST causes the disorder of mentalizing after surgery, and assessing high-level mentalizing during surgery may be useful to preserve these pathways. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 17% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Researcher | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 22 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 7 | 15% |
| Medicine and Dentistry | 5 | 11% |
| Neuroscience | 4 | 9% |
| Agricultural and Biological Sciences | 2 | 4% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 24 | 52% |
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 12 March 2018.
All research outputs
#17,930,799
of 23,023,224 outputs
Outputs from Frontiers in Behavioral Neuroscience
#2,430
of 3,201 outputs
Outputs of similar age
#241,449
of 331,971 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#62
of 69 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,201 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 18th percentile – i.e., 18% 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 331,971 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 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.