| Title |
Inefficient cognitive control in adult ADHD: evidence from trial-by-trial Stroop test and cued task switching performance
|
|---|---|
| Published in |
Behavioral and Brain Functions, August 2007
|
| DOI | 10.1186/1744-9081-3-42 |
| Pubmed ID | |
| Authors |
Joseph A King, Michael Colla, Marcel Brass, Isabella Heuser, DY von Cramon |
| Abstract |
Contemporary neuropsychological models of ADHD implicate impaired cognitive control as contributing to disorder characteristic behavioral deficiencies and excesses; albeit to varying degrees. While the traditional view of ADHD postulates a core deficiency in cognitive control processes, alternative dual-process models emphasize the dynamic interplay of bottom-up driven factors such as activation, arousal, alerting, motivation, reward and temporal processing with top-down cognitive control. However, neuropsychological models of ADHD are child-based and have yet to undergo extensive empirical scrutiny with respect to their application to individuals with persistent symptoms in adulthood. Furthermore, few studies of adult ADHD samples have investigated two central cognitive control processes: interference control and task-set coordination. The current study employed experimental chronometric Stroop and task switching paradigms to investigate the efficiency of processes involved in interference control and task-set coordination in ADHD adults. |
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 States | 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 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| France | 2 | <1% |
| Belgium | 2 | <1% |
| Switzerland | 1 | <1% |
| Brazil | 1 | <1% |
| Israel | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 214 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 21% |
| Researcher | 39 | 17% |
| Student > Master | 32 | 14% |
| Student > Bachelor | 26 | 12% |
| Student > Doctoral Student | 19 | 8% |
| Other | 26 | 12% |
| Unknown | 36 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 103 | 46% |
| Neuroscience | 18 | 8% |
| Agricultural and Biological Sciences | 15 | 7% |
| Medicine and Dentistry | 13 | 6% |
| Social Sciences | 5 | 2% |
| Other | 28 | 12% |
| Unknown | 44 | 19% |
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 11 November 2018.
All research outputs
#16,720,137
of 25,371,288 outputs
Outputs from Behavioral and Brain Functions
#256
of 417 outputs
Outputs of similar age
#68,775
of 79,757 outputs
Outputs of similar age from Behavioral and Brain Functions
#6
of 11 outputs
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