education

Research Papers

Neurofeedback for the Education of Children with ADHD and Specific Learning Disorders: A Review

Patil, Abhishek Uday, Madathil, Deepa, Fan, Yang-Tang, Tzeng, Ovid J. L., Huang, Chih-Mao, Huang, Hsu-Wen (2022) · Brain Sciences

Neurofeedback (NF) is a type of biofeedback in which an individual’s brain activity is measured and presented to them to support self-regulation of ongoing brain oscillations and achieve specific behavioral and neurophysiological outcomes. NF training induces changes in neurophysiological circuits that are associated with behavioral changes. Recent evidence suggests that the NF technique can be used to train electrical brain activity and facilitate learning among children with learning disorders. Toward this aim, this review first presents a generalized model for NF systems, and then studies involving NF training for children with disorders such as dyslexia, attention-deficit/hyperactivity disorder (ADHD), and other specific learning disorders such as dyscalculia and dysgraphia are reviewed. The discussion elaborates on the potential for translational applications of NF in educational and learning settings with details. This review also addresses some issues concerning the role of NF in education, and it concludes with some solutions and future directions. In order to provide the best learning environment for children with ADHD and other learning disorders, it is critical to better understand the role of NF in educational settings. The review provides the potential challenges of the current systems to aid in highlighting the issues undermining the efficacy of current systems and identifying solutions to address them. The review focuses on the use of NF technology in education for the development of adaptive teaching methods and the best learning environment for children with learning disabilities.

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EEG-Based Tool for Prediction of University Students’ Cognitive Performance in the Classroom

Ramírez-Moreno, Mauricio A., Díaz-Padilla, Mariana, Valenzuela-Gómez, Karla D., Vargas-Martínez, Adriana, Tudón-Martínez, Juan C., Morales-Menendez, Rubén, Ramírez-Mendoza, Ricardo A., Pérez-Henríquez, Blas L., Lozoya-Santos, Jorge De J. (2021) · Brain Sciences

This study presents a neuroengineering-based machine learning tool developed to predict students’ performance under different learning modalities. Neuroengineering tools are used to predict the learning performance obtained through two different modalities: text and video. Electroencephalographic signals were recorded in the two groups during learning tasks, and performance was evaluated with tests. The results show the video group obtained a better performance than the text group. A correlation analysis was implemented to find the most relevant features to predict students’ performance, and to design the machine learning tool. This analysis showed a negative correlation between students’ performance and the (theta/alpha) ratio, and delta power, which are indicative of mental fatigue and drowsiness, respectively. These results indicate that users in a non-fatigued and well-rested state performed better during learning tasks. The designed tool obtained 85% precision at predicting learning performance, as well as correctly identifying the video group as the most efficient modality.

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Neuroscience Education as Therapy for Migraine and Overlapping Pain Conditions: A Scoping Review

Minen, Mia T., Kaplan, Kayla, Akter, Sangida, Espinosa-Polanco, Mariana, Guiracocha, Jenny, Khanns, Dennique, Corner, Sarah, Roberts, Timothy (2021) · Pain Medicine (Malden, Mass.)

BACKGROUND: Neuroscience education therapy (NET) has been successfully used for numerous overlapping pain conditions, but few studies have investigated NET for migraine. OBJECTIVE: We sought to 1) review the literature on NET used for the treatment of various pain conditions to assess how NET has been studied thus far and 2) recommend considerations for future research of NET for the treatment of migraine. DESIGN/METHODS: Following the PRISMA guideline for scoping reviews, co-author (TR), a medical librarian, searched the MEDLINE, PsychInfo, Embase, and Cochrane Central Clinical Trials Registry databases for peer-reviewed articles describing NET to treat migraine and other chronic pain conditions. Each citation was reviewed by two trained independent reviewers. Conflicts were resolved through consensus. RESULTS: Overall, a NET curriculum consists of the following topics: pain does not equate to injury, pain is generated in the brain, perception, genetics, reward systems, fear, brain plasticity, and placebo/nocebo effects. Delivered through individual, group, or a combination of individual and group sessions, NET treatments often incorporate exercise programs and/or components of other evidence-based behavioral treatments. NET has significantly reduced catastrophizing, kinesiophobia, pain intensity, and disability in overlapping pain conditions. In migraine-specific studies, when implemented together with traditional pharmacological treatments, NET has emerged as a promising therapy by reducing migraine days, pain intensity and duration, and acute medication intake. CONCLUSION: NET is an established treatment for pain conditions, and future research should focus on refining NET for migraine, examining delivery modality, dosage, components of other behavioral therapies to integrate, and migraine-specific NET curricula.

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Effects of Mindful Awareness Practices on Executive Functions in Elementary School Children

Flook, Lisa, Smalley, Susan L., Kitil, M. Jennifer, Galla, Brian M., Kaiser-Greenland, Susan, Locke, Jill, Ishijima, Eric, Kasari, Connie (2010) · Journal of Applied School Psychology

A school-based program of mindful awareness practices (MAPs) was evaluated in a randomized control study of 64 second- and third-grade children ages 7–9 years. The program was delivered for 30 minutes, twice per week, for 8 weeks. Teachers and parents completed questionnaires assessing children's executive function immediately before and following the 8-week period. Multivariate analysis of covariance on teacher and parent reports of executive function (EF) indicated an interaction effect between baseline EF score and group status on posttest EF. That is, children in the MAPs group who were less well regulated showed greater improvement in EF compared with controls. Specifically, those children starting out with poor EF who went through the MAPs training showed gains in behavioral regulation, metacognition, and overall global executive control. These results indicate a stronger effect of MAPs on children with executive function difficulties. The finding that both teachers and parents reported changes suggests that improvements in children's behavioral regulation generalized across settings. Future work is warranted using neurocognitive tasks of executive functions, behavioral observation, and multiple classroom samples to replicate and extend these preliminary findings.

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