| Title |
Prediction of vulnerability to bipolar disorder using multivariate neurocognitive patterns: a pilot study
|
|---|---|
| Published in |
International Journal of Bipolar Disorders, September 2017
|
| DOI | 10.1186/s40345-017-0101-9 |
| Pubmed ID | |
| Authors |
Mon-Ju Wu, Benson Mwangi, Ives Cavalcante Passos, Isabelle E. Bauer, Bo Cao, Thomas W. Frazier, Giovana B. Zunta-Soares, Jair C. Soares |
| Abstract |
Bipolar disorder (BD) is a common disorder with high reoccurrence rate in general population. It is critical to have objective biomarkers to identify BD patients at an individual level. Neurocognitive signatures including affective Go/No-go task and Cambridge Gambling task showed the potential to distinguish BD patients from health controls as well as identify individual siblings of BD patients. Moreover, these neurocognitive signatures showed the ability to be replicated at two independent cohorts which indicates the possibility for generalization. Future studies will examine the possibility of combining neurocognitive data with other biological data to develop more accurate signatures. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 18% |
| Researcher | 7 | 16% |
| Student > Master | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 13 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 20% |
| Psychology | 7 | 16% |
| Engineering | 2 | 4% |
| Neuroscience | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 7 | 16% |
| Unknown | 16 | 36% |
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 01 September 2017.
All research outputs
#17,913,495
of 22,999,744 outputs
Outputs from International Journal of Bipolar Disorders
#219
of 286 outputs
Outputs of similar age
#226,731
of 316,305 outputs
Outputs of similar age from International Journal of Bipolar Disorders
#7
of 10 outputs
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So far Altmetric has tracked 286 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.