Using Noninvasive Brain Stimulation to Accelerate Learning and Enhance Human Performance

Parasuraman, Raja; McKinley, R. Andy

doi:10.1177/0018720814538815

Cited by 60 publications

(31 citation statements)

References 41 publications

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“…While pharmaceutical interventions can globally affect neural processing, an alternative physiological approach is localized brain stimulation of cortical regions associated with attention. Work into the effectiveness of brain stimulation to increase a variety of cognitive domains is currently underway . These approaches combine new knowledge regarding the neural networks that support cognition and test whether stimulation of network nodes in conjunction with cognitive training protocols can improve performance in both clinical and nonclinical populations.…”

Section: Modulating Sustained Attention Abilitymentioning

confidence: 99%

Recent theoretical, neural, and clinical advances in sustained attention research

Fortenbaugh

DeGutis

Esterman

2017

Annals of the New York Academy of Sciences

205

161

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Models of attention often distinguish between attention subtypes, with classic models separating orienting, switching, and sustaining functions. Compared to other forms of attention, the neurophysiological basis of sustaining attention has received far less attention yet it is known that momentary failures of sustained attention can have far ranging negative impacts in healthy individuals and lasting sustained attention deficits are pervasive in clinical populations. In recent years, however, there has been increased interest in characterizing moment-to-moment fluctuations in sustained attention in addition to the overall vigilance decrement and understanding how these neurocognitive systems change over the lifespan and across various clinical populations. The use of novel neuroimaging paradigms and statistical approaches has allowed for better characterization of the neural networks supporting sustained attention, and highlighted dynamic interactions within and across multiple distributed networks that predict behavioral performance. These advances have also provided potential biomarkers to identify individuals with sustained attention deficits. These findings have led to new theoretical models of why sustaining focused attention is a challenge for individuals and form the basis for the next generation of sustained attention research, which seeks to accurately diagnose and develop theoretically-driven treatments for sustained attention deficits that affect a variety of clinical populations.

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Section: Modulating Sustained Attention Abilitymentioning

confidence: 99%

Recent theoretical, neural, and clinical advances in sustained attention research

Fortenbaugh

DeGutis

Esterman

2017

Annals of the New York Academy of Sciences

205

161

View full text Add to dashboard Cite

show abstract

“…Recent studies demonstrated an association between excitability increase with the use of high repetitive TMS or anodal tDCS with improved motor skill learning (Butts et al, 2014;Parasuraman and McKinley, 2014;Reis and Fritsch, 2011;Reis et al, 2008Reis et al, , 2009Tanaka et al, 2011). Both dPMCs are involved in motor learning in healthy subjects and stroke patients (Stagg and Johansen-Berg, 2013;Stefan et al, 2008;Stinear et al, 2009;Wang et al, 2014;Zanon et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Daily iTBS worsens hand motor training — A combined TMS, fMRI and mirror training study

et al. 2015

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“…This second phase requires longer time. The literature dealing with the effect of practice on the functional anatomy of task performance is extensive and complex, comprising a wide range of papers from disparate research perspectives (Chein and Schneider, 2005; Doyon and Benali, 2005; Parsons et al, 2005; Erickson et al, 2007; Dux et al, 2009; Wiestler and Diedrichsen, 2013; Parasuraman and McKinley, 2014; Sampaio-Baptista et al, 2014; Borghini et al, 2016). Across these studies, three main patterns of practice-related activation change can be distinguished.…”

Section: Methodsmentioning

confidence: 99%

A New Perspective for the Training Assessment: Machine Learning-Based Neurometric for Augmented User's Evaluation

et al. 2017

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Inappropriate training assessment might have either high social costs and economic impacts, especially in high risks categories, such as Pilots, Air Traffic Controllers, or Surgeons. One of the current limitations of the standard training assessment procedures is the lack of information about the amount of cognitive resources requested by the user for the correct execution of the proposed task. In fact, even if the task is accomplished achieving the maximum performance, by the standard training assessment methods, it would not be possible to gather and evaluate information about cognitive resources available for dealing with unexpected events or emergency conditions. Therefore, a metric based on the brain activity (neurometric) able to provide the Instructor such a kind of information should be very important. As a first step in this direction, the Electroencephalogram (EEG) and the performance of 10 participants were collected along a training period of 3 weeks, while learning the execution of a new task. Specific indexes have been estimated from the behavioral and EEG signal to objectively assess the users' training progress. Furthermore, we proposed a neurometric based on a machine learning algorithm to quantify the user's training level within each session by considering the level of task execution, and both the behavioral and cognitive stabilities between consecutive sessions. The results demonstrated that the proposed methodology and neurometric could quantify and track the users' progresses, and provide the Instructor information for a more objective evaluation and better tailoring of training programs.

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Using Noninvasive Brain Stimulation to Accelerate Learning and Enhance Human Performance

Abstract: Noninvasive brain stimulation can accelerate skill acquisition in complex tasks and may provide an alternative or addition to other training methods.

Cited by 60 publications

References 41 publications

Recent theoretical, neural, and clinical advances in sustained attention research

Recent theoretical, neural, and clinical advances in sustained attention research

Daily iTBS worsens hand motor training — A combined TMS, fMRI and mirror training study

A New Perspective for the Training Assessment: Machine Learning-Based Neurometric for Augmented User's Evaluation

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