| Title |
Selective impairment of decision making under ambiguity in alexithymia
|
|---|---|
| Published in |
BMC Psychiatry, November 2017
|
| DOI | 10.1186/s12888-017-1537-2 |
| Pubmed ID | |
| Authors |
Lei Zhang, Xue Wang, Yu Zhu, Hongchen Li, Chunyan Zhu, Fengqiong Yu, Kai Wang |
| Abstract |
Alexithymia is characterised by difficulties identifying and describing emotions. Few studies have investigated how alexithymia influences decision-making under different conditions (ambiguity and risk). This study aimed to examine whether alexithymia contributes to impairment in decision-making. This study included 42 participants with high scores in the Chinese version of Toronto Alexithymia Scale (alexithymia group), and 44 matched subjects with low scores (control group). Decision-making was measured using the Iowa Gambling Task (IGT) and the Game of Dice Task (GDT). The main findings of this study revealed selective deficits in IGT performance for the alexithymia group, while GDT performance was unimpaired when compared with the control group. In IGT, total netscores were lower for the alexithymia group compared to the control group, particularly with regard to block 5. Moreover, the alexithymia individuals selected significantly more adverse cards than the controls, indicating significant decision-making impairments. Alexithymia selectively influences decision-making under ambiguity. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 21% |
| Student > Bachelor | 6 | 10% |
| Student > Master | 4 | 6% |
| Student > Doctoral Student | 3 | 5% |
| Professor | 3 | 5% |
| Other | 10 | 16% |
| Unknown | 24 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 18 | 29% |
| Medicine and Dentistry | 8 | 13% |
| Neuroscience | 5 | 8% |
| Physics and Astronomy | 1 | 2% |
| Decision Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 29 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 February 2021.
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#14,959,314
of 23,009,818 outputs
Outputs from BMC Psychiatry
#3,258
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Outputs of similar age
#251,640
of 438,539 outputs
Outputs of similar age from BMC Psychiatry
#42
of 67 outputs
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