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A problem-solving task specialized for functional neuroimaging: validation of the Scarborough adaptation of the Tower of London (S-TOL) using near-infrared spectroscopy

Overview of attention for article published in Frontiers in Human Neuroscience, March 2014
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Title
A problem-solving task specialized for functional neuroimaging: validation of the Scarborough adaptation of the Tower of London (S-TOL) using near-infrared spectroscopy
Published in
Frontiers in Human Neuroscience, March 2014
DOI 10.3389/fnhum.2014.00185
Pubmed ID
Authors

Anthony C. Ruocco, Achala H. Rodrigo, Jaeger Lam, Stefano I. Di Domenico, Bryanna Graves, Hasan Ayaz

Abstract

Problem-solving is an executive function subserved by a network of neural structures of which the dorsolateral prefrontal cortex (DLPFC) is central. Whereas several studies have evaluated the role of the DLPFC in problem-solving, few standardized tasks have been developed specifically for use with functional neuroimaging. The current study adapted a measure with established validity for the assessment of problem-solving abilities to design a test more suitable for functional neuroimaging protocols. The Scarborough adaptation of the Tower of London (S-TOL) was administered to 38 healthy adults while hemodynamic oxygenation of the PFC was measured using 16-channel continuous-wave functional near-infrared spectroscopy (fNIRS). Compared to a baseline condition, problems that required two or three steps to achieve a goal configuration were associated with higher activation in the left DLPFC and deactivation in the medial PFC. Individuals scoring higher in trait deliberation showed consistently higher activation in the left DLPFC regardless of task difficulty, whereas individuals lower in this trait displayed less activation when solving simple problems. Based on these results, the S-TOL may serve as a standardized task to evaluate problem-solving abilities in functional neuroimaging studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 <1%
Unknown 110 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 19%
Researcher 15 14%
Student > Master 15 14%
Student > Bachelor 10 9%
Student > Postgraduate 8 7%
Other 17 15%
Unknown 25 23%
Readers by discipline Count As %
Psychology 28 25%
Neuroscience 16 14%
Medicine and Dentistry 14 13%
Agricultural and Biological Sciences 5 5%
Social Sciences 4 4%
Other 13 12%
Unknown 31 28%
Attention Score in Context

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 16 April 2014.
All research outputs
#18,370,767
of 22,753,345 outputs
Outputs from Frontiers in Human Neuroscience
#6,057
of 7,138 outputs
Outputs of similar age
#162,726
of 224,802 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#134
of 150 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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