Neurofeedback is attracting renewed interest as a method to self-regulate one’s own brain activity to directly alter the underlying neural mechanisms of cognition and behaviour. It promises new avenues as a method for cognitive enhancement in healthy subjects, but also as a therapeutic tool. In the current article, we present a review tutorial discussing key aspects relevant to the development of EEG neurofeedback studies. In addition, the putative mechanisms underlying neurofeedback learning are considered. We highlight both aspects relevant for the practical application of neurofeedback as well as rather theoretical considerations related to the development of new generation protocols. Important characteristics regarding the set-up of a neurofeedback protocol are outlined in a step-by-step way. All these practical and theoretical considerations are illustrated based on a protocol and results of a frontal-midline theta up-regulation training for the improvement of executive functions. Not least, assessment criteria for the validation of neurofeedback studies as well as general guidelines for the evaluation of training efficacy are discussed.

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EEG-Neurofeedback as a Tool to Modulate Cognition and Behavior: A Review Tutorial

Interpreting EEG alpha activity

Monitoring human brain activity has great potential in helping us understand the functioning of our brain, as well as in preventing mental disorders and cognitive decline and improve our quality of life. Noninvasive surface EEG is the dominant modality for studying brain dynamics and performance in real-life interaction of humans with their environment. To take full advantage of surface EEG recordings, EEG technology has to be advanced to a level that it can be used in daily life activities. Furthermore, users have to see it as an unobtrusive option to monitor and improve their health. To achieve this, EEG systems have to be transformed from stationary, wired, and cumbersome systems used mostly in clinical practice today, to intelligent wearable, wireless, convenient, and comfortable lifestyle solutions that provide high signal quality. Here, we discuss state-of-the-art in wireless and wearable EEG solutions and a number of aspects where such solutions require improvements when handling electrical activity of the brain. We address personal traits and sensory inputs, brain signal generation and acquisition, brain signal analysis, and feedback generation. We provide guidelines on how these aspects can be advanced further such that we can develop intelligent wearable, wireless, lifestyle EEG solutions. We recognized the following aspects as the ones that need rapid research progress: application driven design, end-user driven development, standardization and sharing of EEG data, and development of sophisticated approaches to handle EEG artifacts.

Wearable, Wireless EEG Solutions in Daily Life Applications: What are we Missing?

EEG-neurofeedback for optimising performance. III: A review of methodological and theoretical considerations.

Neurofeedback has begun to attract the attention and scrutiny of the scientific and medical mainstream. Here, neurofeedback researchers present a consensus-derived checklist that aims to improve the reporting and experimental design standards in the field.

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Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)

Neurofeedback has been around for decades and has applications for both clinical and healthy populations yet there is no standard method for measuring learning or a way of defining successful learning. Thus the aim of this study was to focus on alpha neurofeedback and examine changes in three different measures: amplitude, percent time, and integrated alpha, across four methods: within sessions, across sessions, within sessions compared to baseline, and across sessions compared to baseline. Participants completed 10 weekly sessions of eyes open alpha (8–12 Hz) neurofeedback training (NFT) at Pz. Whilst all three measures showed changes within sessions, the inclusion of baselines revealed that such changes represented a return to baseline levels rather than an increase in alpha. Changes across sessions were only evident in amplitude and inclusion of baseline showed that NFT did not elicit any changes beyond baseline levels. Given this a case is made for incorporating baseline measures when attempting to identify evidence of learning. It is also suggested that both amplitude and percent time measures are used independently rather than incorporate them into a more conservative and less sensitive integrated measure. Finally, focusing on within sessions changes may be a more useful approach in identifying changes resulting from NFT.

Identifying Indices of Learning for Alpha Neurofeedback Training

Introduction. Considerable interest has been, and still is, generated by the potential performance enhancing benefits of alpha neurofeedback training (NFT) for healthy participants. A plausible rationale for such training, with an aim to improve mood and/or enhance cognition, can be made based upon what is already known of the links between alpha EEG activity and behavior. However, designing an optimal NFT paradigm remains difficult because a number of methodological factors that may influence the outcome of such training remain largely unexplored. Method. This article focuses on these methodological factors in an attempt to highlight some of the unanswered questions and stimulate future research. Results. Specifically, this article examines the NFT training schedule; the variety, basis, and setting of reward thresholds; the nature and modality of the feedback signal provided; unidirectional as compared to bidirectional NFT; the establishment of a target frequency range for alpha; whether NFT sho...

http://www.isnr-jnt.org/article/download/16632/10594

Alpha Neurofeedback Training for Performance Enhancement: Reviewing the Methodology

The use of animals to support individuals' wellbeing has been documented across a variety of disciplines. It has been over a decade since dogs have also started to be used within the criminal justice setting in America to support vulnerable people, but this practice is not common in the United Kingdom. Globally, empirical evidence to support the benefits of utilising dogs within the criminal justice system is lacking. 

The present interdisciplinary study aimed to explore one aspect of the criminal justice journey, the impact a therapy dog can have on UK court users waiting to give evidence at a magistrate's court. 117 court users and 8 court staff were interviewed to explore their perceptions of a therapy dog service offered at a local magistrates’ court. Using thematic analysis, three main themes were discovered: (1) Context of the court environment, (2) Effect of the therapy dog on well-being, and (3) Issues relating to therapy dogs in court waiting areas. Results suggests that therapy dogs have a number of benefits to court users. Long-term, the human-canine interaction positively translates into the court waiting room environment and so it should be further explored, evaluated and then appropriately implemented in the UK’s legal system.

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The Use of Therapy Dogs to Support Court Users in the Waiting Room

The psychological well-being of university students is a growing concern, both in the UK and globally. In light of emerging research on the benefits of therapy dogs for student well-being, this stu...

The effects of a therapy dog vs mindfulness vs a student advisor on student anxiety and well-being

With a plethora of touchscreen apps aimed at young children, parents are receiving mixed messages about the appropriateness of such technology for their toddlers. The American Academy of Pediatrics (2016) advises limited engagement with digital media for this age group and encourages parents to co-engage with children when they are using screens. However, very little is known about parent-child interaction in the context of joint engagement with digital screen media in the toddler years. This study observed 56 toddlers (M = 32.5 months old; 53 % female) and a parent (52 mothers; 4 fathers) performing a 3-minute drawing task on a touchscreen tablet (digital condition), and on an Etch-A-Sketch (non-digital condition) using a repeated measures design. Observations were analysed using global ratings of dyadic interaction, comparing warmth, cooperation and conflict between digital and non-digital conditions. A mixed MANCOVA analysis, controlling for levels of daily usage of touchscreens, revealed lower levels of parent-child cooperation and warmth in the digital condition compared to the non-digital condition. In addition, there was a main effect of age with younger dyads displaying less cooperation overall, particularly in the digital condition where interactions were also less warm. Results suggest that co-engaging with digital technology can be a challenging and potentially emotionally charged context for both parents and young children. Younger toddlers, especially, may be more likely to experience less cooperative interactions when co-engaging with digital technology with a parent. Results are discussed in relation to developmental differences between 2- and 3-year olds, and the need for more nuanced guidance for parents supporting young children's interaction with digital media.

Tammy Dempster

Papers

Identifying Indices of Learning for Alpha Neurofeedback Training

Alpha Neurofeedback Training for Performance Enhancement: Reviewing the Methodology

The Use of Therapy Dogs to Support Court Users in the Waiting Room

The effects of a therapy dog vs mindfulness vs a student advisor on student anxiety and well-being

Parent-child interactions during joint engagement with touchscreen technology: A comparison of younger versus older toddlers