Changes in EEG Current Sources Induced by Neurofeedback in Learning Disabled Children. An Exploratory Study

Effects of neurofeedback on the self-concept of children with learning disorders

Children with learning disorders (LDs) often have a lower self-concept than their typically developing peers. Neurofeedback (NFB) treatments seem to improve the cognitive and academic performance of these children, but the effects on self-concept have not been studied. In this exploratory study, 34 right-handed children (8-11 y.o.) with LD and delayed electroencephalographic maturation responded to the Piers-Harris Children's Self-Concept Scale. One group received NFB (n = 20), and another group (n = 14) served as control, which included 9 children treated with sham-NFB and 5 on a waiting-list. A nonparametric permutation approach was used to compare the academic performance and self-concept difference (postscores - prescores) between the NFB and control groups. Given the smaller size of the control subgroups, a comparison of the percent changes between sham-NFB and the waiting-list was performed with the non-overlap of all pairs (NAP) technique. In the NFB group, the scores of reading, math, and global self-concept increased significantly, highlighting the self-concept subdomains of physical appearance, nonanxiety, popularity, and happiness. Additionally, the sham-NFB subgroup showed better outcomes than the waiting-list subgroup, perhaps due to noncontrolled factors. We found improved academic performance and self-concept in children with LDs who received NFB treatment. This study is an important exploratory step in studying a relevant treatment that seems to ameliorate symptoms of LDs such as anxiety and low self-concept.

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

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.

Improving Functional Connectivity in Developmental Dyslexia through Combined Neurofeedback and Visual Training

This study examined the effects of combined neurofeedback (NF) and visual training (VT) on children with developmental dyslexia (DD). Although NF is the first noninvasive approach to support neurological disorders, the mechanisms of its effects on the brain functional connectivity are still unclear. A key question is whether the functional connectivities of the EEG frequency networks change after the combined NF–VT training of DD children (postD). NF sessions of voluntary α/θ rhythm control were applied in a low-spatial-frequency (LSF) illusion contrast discrimination, which provides feedback with visual cues to improve the brain signals and cognitive abilities in DD children. The measures of connectivity, which are defined by small-world propensity, were sensitive to the properties of the brain electrical oscillations in the quantitative EEG-NF training. In the high-contrast LSF illusion, the z-NF reduced the α/θ scores in the frontal areas, and in the right ventral temporal, occipital–temporal, and middle occipital areas in the postD (vs. the preD) because of their suppression in the local hub θ-network and the altered global characteristics of the functional θ-frequency network. In the low-contrast condition, the z-NF stimulated increases in the α/θ scores, which induced hubs in the left-side α-frequency network of the postD, and changes in the global characteristics of the functional α-frequency network. Because of the anterior, superior, and middle temporal deficits affecting the ventral and occipital–temporal pathways, the z-NF–VT compensated for the more ventral brain regions, mainly in the left hemispheres of the postD group in the low-contrast LSF illusion. Compared to pretraining, the NF–VT increased the segregation of the α, β (low-contrast), and θ networks (high-contrast), as well as the γ2-network integration (both contrasts) after the termination of the training of the children with developmental dyslexia. The remediation compensated more for the dorsal (prefrontal, premotor, occipital–parietal connectivities) dysfunction of the θ network in the developmental dyslexia in the high-contrast LSF illusion. Our findings provide neurobehavioral evidence for the exquisite brain functional plasticity and direct effect of NF–VT on cognitive disabilities in DD children.

One-Year Follow-Up of Healthy Older Adults with Electroencephalographic Risk for Neurocognitive Disorder After Neurofeedback Training

Background:

In healthy older adults, excess theta activity is an electroencephalographic (EEG) predictor of cognitive impairment. In a previous study, neurofeedback (NFB) treatment reinforcing reductions theta activity resulted in EEG reorganization and cognitive improvement.

Objective:

To explore the clinical applicability of this NFB treatment, the present study performed a 1-year follow-up to determine its lasting effects.

Methods:

Twenty seniors with excessive theta activity in their EEG were randomly assigned to the experimental or control group. The experimental group received an auditory reward when the theta absolute power (AP) was reduced. The control group received the reward randomly.

Results:

Both groups showed a significant decrease in theta activity at the training electrode. However, the EEG results showed that only the experimental group underwent global changes after treatment. These changes consisted of delta and theta decreases and beta increases. Although no changes were found in any group during the period between the posttreatment evaluation and follow-up, more pronounced theta decreases and beta increases were observed in the experimental group when the follow-up and pretreatment measures were compared. Executive functions showed a tendency to improve two months after treatment which became significant one year later.

Conclusion:

These results suggest that the EEG and behavioral benefits of this NFB treatment persist for at least one year, which adds up to the available evidence contributing to identifying factors that increase its efficacy level. The relevance of this study lies in its prophylactic features of addressing a clinically healthy population with EEG risk of cognitive decline.

Neurofeedback for cognitive enhancement and intervention and brain plasticity

In recent years, neurofeedback has been used as a cognitive training tool to improve brain functions for clinical or recreational purposes. It is based on providing participants with feedback about their brain activity and training them to control it, initiating directional changes. The overarching hypothesis behind this method is that this control results in an enhancement of the cognitive abilities associated with this brain activity, and triggers specific structural and functional changes in the brain, promoted by learning and neuronal plasticity effects. Here, we review the general methodological principles behind neurofeedback and we describe its behavioural benefits in clinical and experimental contexts. We review the non-specific effects of neurofeedback on the reinforcement learning striato-frontal networks as well as the more specific changes in the cortical networks on which the neurofeedback control is exerted. Last, we analyse the current challenges faces by neurofeedback studies, including the quantification of the temporal dynamics of neurofeedback effects, the generalisation of its behavioural outcomes to everyday life situations, the design of appropriate controls to disambiguate placebo from true neurofeedback effects and the development of more advanced cortical signal processing to achieve a finer-grained real-time modelling of cognitive functions.

Effects of Neurofeedback on the Working Memory of Children with Learning Disorders-An EEG Power-Spectrum Analysis

Learning disorders (LDs) are diagnosed in children impaired in the academic skills of reading, writing and/or mathematics. Children with LDs usually exhibit a slower resting-state electroencephalogram (EEG), corresponding to a neurodevelopmental lag. Frequently, children with LDs show working memory (WM) impairment, associated with an abnormal task-related EEG with overall slower EEG activity (more delta and theta power, and less gamma activity in posterior sites). These EEG patterns indicate inefficient neural resource management. Neurofeedback (NFB) treatments aimed at normalizing the resting-state EEG of LD children have shown improvements in cognitive-behavioral indices and diminished EEG abnormalities. Given the typical findings of WM impairment in children with LDs, we aimed to explore the effects of an NFB treatment on the WM of children with LDs by analyzing the WM-related EEG power spectrum. EEGs of 18 children (8–11 y.o.) with LDs were recorded, pre- and post-treatment, during performance of a Sternberg-type WM task. Thirty sessions of an NFB treatment (NFB-group, n = 10) or 30 sessions of a placebo-sham treatment (sham-group, n = 8) were administered. We analyzed the before and after treatment group differences for the behavioral performance and the WM-related EEG power spectrum. The NFB group showed faster response times in the WM task post-treatment. They also exhibited a decreased theta power and increased beta and gamma power at the frontal and posterior sites post-treatment. We explain these findings in terms of NFB improving the efficiency of neural resource management, maintenance of memory representations, and improved subvocal memory rehearsal.

Biofeedback in pediatric populations: a systematic review and meta-analysis of treatment outcomes

Biofeedback is commonly used for both pediatric and adult patients with a myriad of diagnoses in clinical settings. The majority of previous research has focused on the use of biofeedback in adults, with only a small body of literature examining the usefulness of biofeedback in treating children. The current systematic review and meta-analysis seeks to quantitatively examine the usefulness of biofeedback in addressing pediatric conditions. A systematic review of biofeedback interventions in children was conducted using four databases (Ovid MEDLINE, EMBASE, PsycINFO, and Cochrane CENTRAL). Outcomes included changes in symptoms of associated conditions or changes in physiological functioning. Out of 3,128 identified articles, 23 studies (with 24 effect sizes) were eligible for inclusion in the meta-analysis. Using a random effects model, the overall effect of pediatric biofeedback was statistically significant with a large effect size. Despite the large effect size, general study quality was low, limiting interpretation of findings. Despite widespread clinical use of biofeedback in pediatric populations, research is still limited concerning the efficacy of biofeedback in children. While findings suggest potential positive effects of biofeedback to address pediatric conditions, high-quality studies are necessary to fully support the use of biofeedback in children.

Integrating Clinical Hypnosis and Neurofeedback

Hypnosis and neurofeedback each provide unique therapeutic strengths and opportunities. This article provides an overview of some of the research on neurofeedback and hypnosis. The author's perspective and recommendations are provided on the relative clinical utility of using either neurofeedback or hypnosis as the initial treatment of choice with various clinical conditions.

EEG Analysis of the Neurofeedback Training Effect in Algorithmic Thinking

Although significant advances have been made in understanding several cognitive states, the algorithmic thinking ability is yet to be analyzed in terms of neuroscience and brain imaging techniques. Studies on the effects of neurofeedback on learning disabilities especially mathematics disorders are limited. The objective of the present study is to evaluate the brain activity and activation differences between neurofeedback trained participants and controls, during the overall EEG analysis during continuous algorithmic tasks performance. A study of 182 children of upper education is proposed to assess the efficacy of two protocols of neurofeedback training as means of algorithmic thinking ability evaluation. Results suggest statistical significant variation in the mean SD values in terms of several brain waves ratios during algorithmic task solving epochs.

Neurofeedback in Learning Disabled Children: Visual versus Auditory Reinforcement

Children with learning disabilities (LD) frequently have an EEG characterized by an excess of theta and a deficit of alpha activities. NFB using an auditory stimulus as reinforcer has proven to be a useful tool to treat LD children by positively reinforcing decreases of the theta/alpha ratio. The aim of the present study was to optimize the NFB procedure by comparing the efficacy of visual (with eyes open) versus auditory (with eyes closed) reinforcers. Twenty LD children with an abnormally high theta/alpha ratio were randomly assigned to the Auditory or the Visual group, where a 500 Hz tone or a visual stimulus (a white square), respectively, was used as a positive reinforcer when the value of the theta/alpha ratio was reduced. Both groups had signs consistent with EEG maturation, but only the Auditory Group showed behavioral/cognitive improvements. In conclusion, the auditory reinforcer was more efficacious in reducing the theta/alpha ratio, and it improved the cognitive abilities more than the visual reinforcer.

New Approaches to the Diagnosis and Treatment of Learning Disabilities in an International Context

Abstract. Learning disability (LD) is a term frequently used to describe neurological disorders affecting academic and school performance. Although often applied, this term is not precisely defined. While the new DSM-V has substantially redefined LD, problems still remain, including the influence of different cultural experiences and the near absence of proposals for the application of biomarkers in LD diagnosis. This paper discusses these issues and calls for more emphasis to be placed on the identification and application of biomarkers for LD diagnosis. In addition, it proposes that these biomarkers should be incorporated into a more comprehensive bio-psycho-social diagnosis model of LD.

Observational Report of the Effects of Performance Brain Training in Collegiate Golfers

There has been a recent interest in the use of neurofeedback to enhance sports performance. Our goal is to report the effects of performance brain training (a specific neurofeedback training paradigm with protocols based on the NeuroPerformance Assessment) on specific measures of golf performance in a group of Division I National Collegiate Athletic Association (NCAA) golfers. Participants included 16 golfers. Baseline performance data was collected prior to grouping athletes (Time Point 1). Initially, both groups continued as normal with team practice, tournament play, and sport-related coaching, while only Group 1 completed performance brain training (Time Point 2) due to limited athlete availability. Subsequently, only Group 2 completed while both groups maintained normal team activities (time point 3). Performance data was collected at each time point. Paired t-test analyses were completed for five performance variables from Time Point 1 to Time Point 2 and from Time Point 2 to Time Point 3 for each group. When comparing Time Point 1 to 2, Group 1 showed significant improvements in several golf performance indices: with increases in greens in regulation, decreases in the putting average, and decreases in the average number of three putts per round. Between Time Points 2 and 3, Group 2 demonstrated statistically significant improvements in greens in regulation, fairways in regulation, putting average, and average of three putts per round. It appears that Performance Brain Training may contribute to improvement in sport measures. Broadly, these findings lend support to previous studies illustrating that brain training improves performance outcomes, yet replication in a large sample size is required for further conclusions to be drawn.

Quantitative EEG neurofeedback for the treatment of pediatric attention-deficit/hyperactivity disorder, autism spectrum disorders, learning disorders, and epilepsy

Neurofeedback (NF) using surface electroencephalographic signals has been used to treat various child psychiatric disorders by providing patients with video/audio information about their brain's electrical activity in real-time. Research data are reviewed and clinical recommendations are made regarding NF treatment of youth with attention deficit/hyperactivity disorder, autism, learning disorders, and epilepsy. Most NF studies are limited by methodological issues, such as failure to use or test the validity of a full-blind or sham NF. The safety of NF treatment has not been thoroughly investigated in youth or adults, although clinical experience suggests reasonable safety.

The effectiveness of neurofeedback training on EEG coherence and neuropsychological functions in children with reading disability

Neurofeedback training (NFT) is an effective intervention in regulating electroencephalogram (EEG) abnormalities leading to improvements in behavioral deficits, which exist in children with reading disabilities. This single-subject study explores our evaluation of the improvements in the reading ability and phonological awareness deficit, as well as the changes in the EEG in children with reading disabilities as a result of NFT. Participants were 6 children, aged between 8 and 10 years, who completed twenty 30-minute sessions of NFT and follow-up measurement sessions 2 months subsequent to the completion of the training sessions. The results showed significant improvement in reading and phonological awareness skills. Furthermore, EEG analysis did not show notable changes in the power of the targeted bands (delta, theta, and beta), rather there was normalization of coherence of the theta band at T3-T4, delta band at Cz-Fz, and beta band at Cz-Fz, Cz-Pz, and Cz-C4. These significant changes in coherence possibly indicate integration of sensory and motor areas that explains the improvements in reading skills and phonological awareness.

3D statistical parametric mapping of quiet sleep EEG in the first year of life

This paper extends previously developed 3D SPM for Electrophysiological Source Imaging (Bosch et al., 2001) for neonate EEG. It builds on a prior paper by our group that established age dependent means and standard deviations for the scalp EEG Broad Band Spectral Parameters of children in the first year of life. We now present developmental equations for the narrow band log spectral power of EEG sources, obtained from a sample of 93 normal neonates from age 1 to 10 months in quiet sleep. The main finding from these regressions is that EEG power from 0.78 to 7.5 Hz decreases with age and also for 45-50 Hz. By contrast, there is an increase with age in the frequency band of 19-32 Hz localized to parietal, temporal and occipital areas. Deviations from the norm were analyzed for normal neonates and 17 with brain damage. The diagnostic accuracy (measured by the area under the ROC curve) of EEG source SPM is 0.80, 0.69 for average reference scalp EEG SPM, and 0.48 for Laplacian EEG SPM. This superior performance of 3D SPM over scalp qEEG suggests that it might be a promising approach for the evaluation of brain damage in the first year of life.

Ist Neurofeedbacktraining eine wirksame Therapiemethode zur Behandlung von ADHS? Ein Überblick über aktuelle Befunde

Neurofeedbacktraining hat sich zunehmend als eine klinische Behandlungsmethode für Kinder mit ADHS etabliert, obwohl methodisch befriedigende Wirksamkeitsstudien lange fehlten. Der Überblicksartikel führt zunächst in die Grundlagen von Neurofeedback bei ADHS ein und stellt die wichtigsten Methoden und Protokolle vor. Anschliessend werden aktuelle Studien mit verschiedenen Kontrollbedingungen, Bildgebungsbefunde und Ansätze, die den Zusammenhang zwischen kortikaler Regulation und klinischen Verbesserungen untersuchen, zusammengefasst. Neben vielen offenen methodischen Fragen gibt es auch einige wenige Ergebnisse, die eine spezifische Wirkung von Neurofeedbacktraining stützen. In welchem Ausmass aber die gelernte kortikale Regulation tatsächlich kausal zu den klinischen Verbesserungen beiträgt, müssen zukünftige Untersuchungen noch zeigen.

ADHD and EEG-neurofeedback: a double-blind randomized placebo-controlled feasibility study

Electroencephalography (EEG)-neurofeedback has been shown to offer therapeutic benefits to patients with attention-deficit/hyperactivity disorder (ADHD) in several, mostly uncontrolled studies. This pilot study is designed to test the feasibility and safety of using a double-blind placebo feedback-controlled design and to explore the initial efficacy of individualized EEG-neurofeedback training in children with ADHD. Fourteen children (8–15 years) with ADHD defined according to the DSM-IV-TR criteria were randomly allocated to 30 sessions of EEG-neurofeedback (n = 8) or placebo feedback (n = 6). Safety measures (adverse events and sleep problems), ADHD symptoms and global improvement were monitored. With respect to feasibility, all children completed the study and attended all study visits and training sessions. No significant adverse effects or sleep problems were reported. Regarding the expectancy, 75% of children and their parent(s) in the active neurofeedback group and 50% of children and their parent(s) in the placebo feedback group thought they received placebo feedback training. Analyses revealed significant improvements of ADHD symptoms over time, but changes were similar for both groups. This pilot study shows that it is feasible to conduct a rigorous placebo-controlled trial to investigate the efficacy of neurofeedback training in children with ADHD. However, a double-blind design may not be feasible since using automatic adjusted reward thresholds may not work as effective as manually adjusted reward thresholds. Additionally, implementation of active learning strategies may be an important factor for the efficacy of EEG-neurofeedback training. Based on the results of this pilot study, changes are made in the design of the ongoing study.

QEEG studies in the assessment and treatment of childhood disorders

Quantifying EEG measures across age allows the ability to establish parameters of normalcy at any age which can be used as a reference when children exhibit developmental delays in their abilities and/or other atypical and maladaptive behaviors. A review of the current literature on the utilization of QEEG methods to serve as an aid for identifying these children as distinctively different from normal, and in some cases as distinctive from other clinical considerations has been shown to provide a sufficient sensitivity and specificity worthy of consideration as a diagnostic aid in evaluating clinical deviations in development. Furthermore, these same QEEG measures can provide a means of establishing treatment efficacy for the evident brain dysfunctions underlying these childhood disorders.