Neurofeedback for cognitive enhancement and intervention and brain plasticity

Loriette, Célia; Ziane, C.; Hamed, Suliann Ben

doi:10.1016/j.neurol.2021.08.004

Cited by 41 publications

(32 citation statements)

References 66 publications

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“…There is an ever-growing number of neurofeedback studies and tools aiming at both training cognitive functions and understanding brain functions. In particular, this approach has been shown to potentiate brain plasticity, triggering not only behavioral long term effects, but also plastic changes in brain structure and anatomy, such as an increase in gray matter volume and white matter myelinization ( Ghaziri et al, 2013 ; Marins et al, 2019 ; Loriette and Ziane, 2021 ).…”

Section: Interfering With Brain Activity With Neurofeedback or Learningmentioning

confidence: 99%

Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior

Loriette¹,

Amengual²,

Hamed³

2022

Front. Neurosci.

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One of the major challenges in system neurosciences consists in developing techniques for estimating the cognitive information content in brain activity. This has an enormous potential in different domains spanning from clinical applications, cognitive enhancement to a better understanding of the neural bases of cognition. In this context, the inclusion of machine learning techniques to decode different aspects of human cognition and behavior and its use to develop brain–computer interfaces for applications in neuroprosthetics has supported a genuine revolution in the field. However, while these approaches have been shown quite successful for the study of the motor and sensory functions, success is still far from being reached when it comes to covert cognitive functions such as attention, motivation and decision making. While improvement in this field of BCIs is growing fast, a new research focus has emerged from the development of strategies for decoding neural activity. In this review, we aim at exploring how the advanced in decoding of brain activity is becoming a major neuroscience tool moving forward our understanding of brain functions, providing a robust theoretical framework to test predictions on the relationship between brain activity and cognition and behavior.

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Section: Interfering With Brain Activity With Neurofeedback or Learningmentioning

confidence: 99%

Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior

Loriette¹,

Amengual²,

Hamed³

2022

Front. Neurosci.

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“…Important contributions to the development of research have been made by Joe Kamiya studying Alpha waves [35], Bary Sterman studying SMR (Sensory Motor Rhythm) waves [36], Lubar and Seiferd in the study of Theta and SMR [37]. That research gave rise to many other studies and the wide use of neurofeedback today, including in clinical medicine [38] psychology, and sports [39].…”

Section: Neurofeedback In Adhd Trainingmentioning

confidence: 99%

Neurological Mechanisms of Diagnosis and Therapy in School Children with ADHD in Poland

Nermend

Flaga-Gieruszyńska²,

Kroplewski³

et al. 2022

IJERPH

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The paper aims to present a holistic view of attention deficit hyperactivity disorder (ADHD) in pedagogical, psychological, legal, and social dimensions in Polish schools. The authors present the benefits of neurofeedback therapy for elementary school pupils. In order to verify the validity, the paper compares the concordance of a medical diagnosis confirming ADHD syndrome with the occurrence of abnormal electrical brain function recording and abnormalities therein as well as the effectiveness of the neurofeedback therapy. The study confirms that the reported problems faced by pupils and affecting their emotional functioning are reflected in their EEG records. Conclusions from the study lead to the proposal that the neurofeedback assessment should be performed at schools, which should result in the implementation of effective therapy. Moreover, the neurofeedback method should be promoted in Polish schools as an alternative to pharmacological therapy, which, as the research proves, is not always effective. Neurofeedback therapy, similarly to behavioral therapy, is very much needed and useful because it provides optimal conditions for the child’s development and shapes their relations with the environment effectively and harmlessly.

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“…By allowing us to self-regulate our brain activity [ 12 ], neuronal activity and connectivity can be changed [ 8 ], indirectly resulting in behavioral changes [ 5 ]. Brain activity can be fed back in multiple ways using several neurophysiological methods (e.g., real-time functional magnetic resonance imaging [fMRI], magnetoencephalography [MEG], functional near-infrared spectroscopy [fNIRS], positron emission tomography [PET], and electroencephalogram [EEG]) [ 13 , 14 ]. These feedback techniques allow the participants to monitor, interact with, and manage their mental states [ 15 ] and current states of cognition [ 16 ] by rewarding desirable patterns of brain activity with visual, auditory [ 17 ], or representational forms such as graphs, numbers, video games, and moving objects [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Efficacy of Neuro-Feedback Training for PTSD Symptoms: A Systematic Review and Meta-Analysis

Park²

2022

IJERPH

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If the negative emotions experienced in life become trauma, they affect daily life. Neuro-feedback technology has recently been introduced as a treatment, but many different neuro-feedback protocols and methods exits. This study conducted a meta-analysis of neuro-feedback training for post-traumatic stress disorder (PTSD) symptoms to evaluate the effects of functional magnetic resonance imaging (fMRI) and electroencephalogram (EEG)-based neuro-feedback training. A search of PubMed, the Cochrane Library, Web of Science, Science Direct, and ClinicalTrials.gov was conducted from January 2011 to December 2021. The studies’ quality was assessed using the Cochrane risk of bias tool and publication bias was assessed by Egger’s regression test. Seven studies that met the inclusion criteria were used for the systematic review and meta-analysis. EEG was more effective than fMRI for PTSD symptoms, and the effect on PTSD symptoms was higher than on anxiety and depression. There was no difference in the effectiveness of the training sessions. Our findings showed that EEG-based neuro-feedback training was more helpful for training PTSD symptoms. Additionally, the methods were also shown to be valid for evaluating clinical PTSD diagnoses. Further research is needed to establish a gold standard protocol for the EEG-based neuro-feedback training (EEG-NFT) method for PTSD symptoms.

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Neurofeedback for cognitive enhancement and intervention and brain plasticity

Cited by 41 publications

References 66 publications

Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior

Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior

Neurological Mechanisms of Diagnosis and Therapy in School Children with ADHD in Poland

Efficacy of Neuro-Feedback Training for PTSD Symptoms: A Systematic Review and Meta-Analysis

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