| Title |
Poststimulation time interval-dependent effects of motor cortex anodal tDCS on reaction-time task performance
|
|---|---|
| Published in |
Cognitive, Affective, & Behavioral Neuroscience, January 2018
|
| DOI | 10.3758/s13415-018-0561-0 |
| Pubmed ID | |
| Authors |
Andrés Molero-Chamizo, José R. Alameda Bailén, Tamara Garrido Béjar, Macarena García López, Inmaculada Jaén Rodríguez, Carolina Gutiérrez Lérida, Silvia Pérez Panal, Gloria González Ángel, Laura Lemus Corchero, María J. Ruiz Vega, Michael A. Nitsche, Guadalupe N. Rivera-Urbina |
| Abstract |
Anodal transcranial direct current stimulation (tDCS) induces long-term potentiation-like plasticity, which is associated with long-lasting effects on different cognitive, emotional, and motor performances. Specifically, tDCS applied over the motor cortex is considered to improve reaction time in simple and complex tasks. The timing of tDCS relative to task performance could determine the efficacy of tDCS to modulate performance. The aim of this study was to compare the effects of a single session of anodal tDCS (1.5 mA, for 15 min) applied over the left primary motor cortex (M1) versus sham stimulation on performance of a go/no-go simple reaction-time task carried out at three different time points after tDCS-namely, 0, 30, or 60 min after stimulation. Performance zero min after anodal tDCS was improved during the whole course of the task. Performance 30 min after anodal tDCS was improved only in the last block of the reaction-time task. Performance 60 min after anodal tDCS was not significantly different throughout the entire task. These findings suggest that the motor cortex excitability changes induced by tDCS can improve motor responses, and these effects critically depend on the time interval between stimulation and task performance. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| United States | 1 | 33% |
| Italy | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 16% |
| Student > Ph. D. Student | 10 | 14% |
| Student > Bachelor | 8 | 11% |
| Researcher | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 20 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 16 | 23% |
| Psychology | 15 | 21% |
| Engineering | 5 | 7% |
| Unspecified | 2 | 3% |
| Sports and Recreations | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 25 | 36% |
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 14 January 2018.
All research outputs
#14,608,019
of 24,003,070 outputs
Outputs from Cognitive, Affective, & Behavioral Neuroscience
#513
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Outputs of similar age
#235,630
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Outputs of similar age from Cognitive, Affective, & Behavioral Neuroscience
#11
of 18 outputs
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