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https://www.readbyqxmd.com/read/28708739/effectiveness-of-neurofeedback-therapy-for-anxiety-and-stress-in-adults-living-with-a-chronic-illness-a-systematic-review-protocol
#1
Farriss Blaskovits, Jane Tyerman, Marian Luctkar-Flude
The objective of this review is to systematically examine the effectiveness of neurofeedback therapy for managing anxiety and stress in adults living with a chronic illness.The specific objectives are to identify which neurofeedback systems and/or protocols demonstrate effectiveness and determine the level of supporting evidence.The review question is as follows: What is the effectiveness of neurofeedback therapy for managing anxiety and stress in an adult population aged 18 years of age or older living with a chronic illness?...
July 2017: JBI Database of Systematic Reviews and Implementation Reports
https://www.readbyqxmd.com/read/28701821/an-exploratory-study-of-intensive-neurofeedback-training-for-schizophrenia
#2
Wenya Nan, Feng Wan, Lanshin Chang, Sio Hang Pun, Mang I Vai, Agostinho Rosa
Schizophrenia is a chronic and devastating brain disorder with ongoing cognitive, behavioral, and emotional deteriorated functions. Neurofeedback training, which enables the individuals to regulate their brain activity using a real-time feedback loop, is increasingly investigated as a potential alternative intervention for schizophrenia. This study aimed to explore the effect of short but intensive neurofeedback training for schizophrenic patients with difficulty for long-time training. A middle-aged woman with chronic schizophrenia completed the intensive training of alpha/beta2 (20-30 Hz) in four consecutive days with a total training duration of 13...
2017: Behavioural Neurology
https://www.readbyqxmd.com/read/28700715/the-pharmacological-and-non-pharmacological-treatment-of-attention-deficit-hyperactivity-disorder-in-children-and-adolescents-a-systematic-review-with-network-meta-analyses-of-randomised-trials
#3
Ferrán Catalá-López, Brian Hutton, Amparo Núñez-Beltrán, Matthew J Page, Manuel Ridao, Diego Macías Saint-Gerons, Miguel A Catalá, Rafael Tabarés-Seisdedos, David Moher
BACKGROUND: Attention deficit hyperactivity disorder (ADHD) is one of the most commonly diagnosed psychiatric disorders in childhood. A wide variety of treatments have been used for the management of ADHD. We aimed to compare the efficacy and safety of pharmacological, psychological and complementary and alternative medicine interventions for the treatment of ADHD in children and adolescents. METHODS AND FINDINGS: We performed a systematic review with network meta-analyses...
2017: PloS One
https://www.readbyqxmd.com/read/28699778/neurofeedback-as-an-adjunct-therapy-for-treatment-of-chronic-post-traumatic-stress-disorder-related-to-refugee-trauma-and-torture-experiences-two-case-studies
#4
Mirjana Askovic, Anna J Watters, Jorge Aroche, Anthony W F Harris
OBJECTIVE: The objective of this study was to describe the use of neurofeedback for refugee-related chronic post-traumatic stress disorder (PTSD) in two case studies. METHODS: We describe the assessment and application of neurofeedback integrated into the treatment of two clients with chronic PTSD. We include details of our treatment schedule, symptoms and quantitative electrophysiological data for each case. Results All clients achieved significant reduction in symptoms of PTSD and improvement in daily functioning post-neurofeedback therapy...
July 1, 2017: Australasian Psychiatry: Bulletin of Royal Australian and New Zealand College of Psychiatrists
https://www.readbyqxmd.com/read/28692996/effectiveness-evaluation-of-real-time-scalp-signal-separating-algorithm-on-near-infrared-spectroscopy-neurofeedback
#5
Wei Chun Ung, Tsukasa Funane, Takushige Katura, Hiroki Sato, Tong Boon Tang, Ahmad Fadzil Mohammad Hani, Masashi Kiguchi
Near-infrared spectroscopy (NIRS), one of the candidates to be used in a neurofeedback system or brain-computer interface (BCI), measures the brain activity by monitoring the changes in cerebral hemoglobin concentration. However, hemodynamic changes in the scalp may affect the NIRS signals. In order to remove the superficial signals when NIRS is used in a neurofeedback system or BCI, real-time processing is necessary. Real-time scalp signal separating (RT-SSS) algorithm, which is capable of separating the scalp-blood signals from NIRS signals obtained in real-time, may thus be applied...
July 4, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28687962/the-impact-of-goal-oriented-task-design-on-neurofeedback-learning-for-brain-computer-interface-control
#6
S R McWhinney, A Tremblay, S G Boe, T Bardouille
Neurofeedback training teaches individuals to modulate brain activity by providing real-time feedback and can be used for brain-computer interface control. The present study aimed to optimize training by maximizing engagement through goal-oriented task design. Participants were shown either a visual display or a robot, where each was manipulated using motor imagery (MI)-related electroencephalography signals. Those with the robot were instructed to quickly navigate grid spaces, as the potential for goal-oriented design to strengthen learning was central to our investigation...
July 8, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28680906/neurofeedback-based-functional-near-infrared-spectroscopy-upregulates-motor-cortex-activity-in-imagined-motor-tasks
#7
Pawan Lapborisuth, Xian Zhang, Adam Noah, Joy Hirsch
Neurofeedback is a method for using neural activity displayed on a computer to regulate one's own brain function and has been shown to be a promising technique for training individuals to interact with brain-machine interface applications such as neuroprosthetic limbs. The goal of this study was to develop a user-friendly functional near-infrared spectroscopy (fNIRS)-based neurofeedback system to upregulate neural activity associated with motor imagery, which is frequently used in neuroprosthetic applications...
April 2017: Neurophotonics
https://www.readbyqxmd.com/read/28677413/high-intensity-chronic-stroke-motor-imagery-neurofeedback-training-at-home-three-case-reports
#8
Catharina Zich, Stefan Debener, Clara Schweinitz, Annette Sterr, Joost Meekes, Cornelia Kranczioch
Motor imagery (MI) with neurofeedback has been suggested as promising for motor recovery after stroke. Evidence suggests that regular training facilitates compensatory plasticity, but frequent training is difficult to integrate into everyday life. Using a wireless electroencephalogram (EEG) system, we implemented a frequent and efficient neurofeedback training at the patients' home. Aiming to overcome maladaptive changes in cortical lateralization patterns we presented a visual feedback, representing the degree of contralateral sensorimotor cortical activity and the degree of sensorimotor cortex lateralization...
July 1, 2017: Clinical EEG and Neuroscience: Official Journal of the EEG and Clinical Neuroscience Society (ENCS)
https://www.readbyqxmd.com/read/28663892/assessment-of-mental-stress-effects-on-prefrontal-cortical-activities-using-canonical-correlation-analysis-an-fnirs-eeg-study
#9
Fares Al-Shargie, Tong Boon Tang, Masashi Kiguchi
This paper presents an investigation about the effects of mental stress on prefrontal cortex (PFC) subregions using simultaneous measurement of functional Near-Infrared Spectroscopy (fNIRS) and Electroencephalography (EEG) signals. The aim is to explore canonical correlation analysis (CCA) technique to study the relationship among the bi-modality signals in mental stress assessment, and how we could fuse the signals for better accuracy in stress detection. Twenty-five male healthy subjects participated in the study while performing mental arithmetic task under control and stress (under time pressure with negative feedback) conditions...
May 1, 2017: Biomedical Optics Express
https://www.readbyqxmd.com/read/28652143/specific-or-nonspecific-evaluation-of-band-baseline-and-cognitive-specificity-of-sensorimotor-rhythm-and-gamma-based-neurofeedback
#10
Silvia Erika Kober, Matthias Witte, Christa Neuper, Guilherme Wood
Neurofeedback (NF) is often criticized because of the lack of empirical evidence of its specificity. Our present study thus focused on the specificity of NF on three levels: band specificity, cognitive specificity, and baseline specificity. Ten healthy middle-aged individuals performed ten sessions of SMR (sensorimotor rhythm, 12-15Hz) NF training. A second group (N=10) received feedback of a narrow gamma band (40-43Hz). Effects of NF on EEG resting measurements (tonic EEG) and cognitive functions (memory, intelligence) were evaluated using a pre-post design...
June 24, 2017: International Journal of Psychophysiology
https://www.readbyqxmd.com/read/28645842/opennft-an-open-source-python-matlab-framework-for-real-time-fmri-neurofeedback-training-based-on-activity-connectivity-and-multivariate-pattern-analysis
#11
Yury Koush, John Ashburner, Evgeny Prilepin, Ronald Sladky, Peter Zeidman, Sergei Bibikov, Frank Scharnowski, Artem Nikonorov, Dimitri Van De Ville
Neurofeedback based on real-time functional magnetic resonance imaging (rt-fMRI) is a novel and rapidly developing research field. It allows for training of voluntary control over localized brain activity and connectivity and has demonstrated promising clinical applications. Because of the rapid technical developments of MRI techniques and the availability of high-performance computing, new methodological advances in rt-fMRI neurofeedback become possible. Here we outline the core components of a novel open-source neurofeedback framework, termed Open NeuroFeedback Training (OpenNFT), which efficiently integrates these new developments...
June 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/28642166/frontal-alpha-oscillations-and-attentional-control-a-virtual-reality-neurofeedback-study
#12
Anna M Berger, Eddy J Davelaar
Two competing views about alpha oscillations suggest that cortical alpha reflect either cortical inactivity or cortical processing efficiency. We investigate the role of alpha oscillations in attentional control, as measured with a Stroop task. We use neurofeedback to train 22 participants to increase their level of alpha amplitude. Based on the conflict/control loop theory, we selected to train prefrontal alpha and focus on the Gratton effect as an index of deployment of attentional control. We expected an increase or a decrease in the Gratton effect with increase in neural learning depending on whether frontal alpha oscillations reflect cortical idling or enhanced processing efficiency, respectively...
June 19, 2017: Neuroscience
https://www.readbyqxmd.com/read/28630468/neurofeedback-learning-modifies-the-incidence-rate-of-alpha-spindles-but-not-their-duration-and-amplitude
#13
Alexei Ossadtchi, Tatiana Shamaeva, Elizaveta Okorokova, Victoria Moiseeva, Mikhail A Lebedev
Although the first experiments on alpha-neurofeedback date back nearly six decades ago, when Joseph Kamiya reported successful operant conditioning of alpha-rhythm in humans, the effectiveness of this paradigm in various experimental and clinical settings is still a matter of debate. Here, we investigated the changes in EEG patterns during a continuously administered neurofeedback of P4 alpha activity. Two days of neurofeedback training were sufficient for a significant increase in the alpha power to occur...
June 19, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28617861/unconscious-improvement-in-foreign-language-learning-using-mismatch-negativity-neurofeedback-a-preliminary-study
#14
Ming Chang, Hiroyuki Iizuka, Hideki Kashioka, Yasushi Naruse, Masahiro Furukawa, Hideyuki Ando, Taro Maeda
When people learn foreign languages, they find it difficult to perceive speech sounds that are nonexistent in their native language, and extensive training is consequently necessary. Our previous studies have shown that by using neurofeedback based on the mismatch negativity event-related brain potential, participants could unconsciously achieve learning in the auditory discrimination of pure tones that could not be consciously discriminated without the neurofeedback. Here, we examined whether mismatch negativity neurofeedback is effective for helping someone to perceive new speech sounds in foreign language learning...
2017: PloS One
https://www.readbyqxmd.com/read/28596726/ability-to-gain-control-over-one-s-own-brain-activity-and-its-relation-to-spiritual-practice-a-multimodal-imaging-study
#15
Silvia E Kober, Matthias Witte, Manuel Ninaus, Karl Koschutnig, Daniel Wiesen, Gabriela Zaiser, Christa Neuper, Guilherme Wood
Spiritual practice, such as prayer or meditation, is associated with focusing attention on internal states and self-awareness processes. As these cognitive control mechanisms presumably are also important for neurofeedback (NF), we investigated whether people who pray frequently (N = 20) show a higher ability of self-control over their own brain activity compared to a control group of individuals who rarely pray (N = 20). All participants underwent structural magnetic resonance imaging (MRI) and one session of sensorimotor rhythm (SMR, 12-15 Hz) based NF training...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28596116/mechanisms-of-neurofeedback-a-computation-theoretic-approach
#16
Eddy J Davelaar
Neurofeedback training is a form of brain training in which information about a neural measure is fed back to the trainee who is instructed to increase or decrease the value of that particular measure. This paper focuses on electroencephalography (EEG) neurofeedback in which the neural measures of interest are the brain oscillations. To date, the neural mechanisms that underlie successful neurofeedback training are still unexplained. Such an understanding would benefit researchers, funding agencies, clinicians, regulatory bodies, and insurance firms...
June 9, 2017: Neuroscience
https://www.readbyqxmd.com/read/28594254/predictive-factors-of-success-in-neurofeedback-training-for-children-with-adhd
#17
Yasuko Okumura, Yosuke Kita, Mikimasa Omori, Kota Suzuki, Akira Yasumura, Ayako Fukuda, Masumi Inagaki
INTRODUCTION: Neurofeedback (NF) training aims the enhancement of self-regulation over brain activities. While it is largely recognized as an effective treatment for attention deficit hyperactivity disorder (ADHD), the existence of non-learners has also been reported. The present study explored pre-training assessment indices that could predict learners prior to NF training. METHODS: Twenty-two children with ADHD participated in slow cortical potential (SCP) NF training and completed pre- and post-training assessments...
June 8, 2017: Developmental Neurorehabilitation
https://www.readbyqxmd.com/read/28580720/learned-control-of-inter-hemispheric-connectivity-effects-on-bimanual-motor-performance
#18
Diljit Singh Kajal, Christoph Braun, Jürgen Mellinger, Matthew D Sacchet, Sergio Ruiz, Eberhard Fetz, Niels Birbaumer, Ranganatha Sitaram
Bimanual movements involve the interactions between both primary motor cortices. These interactions are assumed to involve phase-locked oscillatory brain activity referred to as inter-hemispheric functional coupling. So far, inter-hemispheric functional coupling has been investigated as a function of motor performance. These studies report mostly a negative correlation between the performance in motor tasks and the strength of functional coupling. However, correlation might not reflect a causal relationship...
June 5, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28575565/eeg-neurofeedback-training-and-quality-of-life-of-institutionalized-elderly-women-a-pilot-study
#19
L Van Eijk, S A Zwijsen, D Keeser, J M Oosterman, O Pogarell, H J Engelbregt
This pilot study attempted to study the applicability of neurofeedback for elderly persons living in nursing homes. We hypothesized an improve of cognitive functioning and the independence in daily life (IDL) of elderly people by using low beta (12-15HZ) EEG neurofeedback training (E-NFT). The participants (active E-NFT group, n=10; control group, n=6) were community living elderly women without dementia. Neurofeedback training was adjusted ten times within 9 weeks, with a training duration of 21 minutes by use of a single electrode, which was centrally placed on the skull surface...
2017: Advances in Gerontology, Uspekhi Gerontologii
https://www.readbyqxmd.com/read/28573984/a-gaussian-mixture-model-based-adaptive-classifier-for-fnirs-brain-computer-interfaces-and-its-testing-via-simulation
#20
Zheng Li, Yi-Han Jiang, Lian Duan, Chao-Zhe Zhu
OBJECTIVE: Functional near infra-red spectroscopy (fNIRS) is a promising brain imaging technology for brain-computer interfaces (BCI). Future clinical uses of fNIRS will likely require operation over long time spans, during which neural activation patterns may change. However, current decoders for fNIRS signals are not designed to handle changing activation patterns. The objective of this study is to test via simulations a new adaptive decoder for fNIRS signals, the Gaussian mixture model adaptive classifier (GMMAC)...
June 2, 2017: Journal of Neural Engineering
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