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https://www.readbyqxmd.com/read/27917787/effects-of-neurofeedback-therapy-in-healthy-young-subjects
#1
Sümeyra Altan, Bercim Berberoglu, Sinan Canan, Şenol Dane
PURPOSE: Neurofeedback refers to a form of operant conditioning of electrical brain activity, in which desirable brain activity is rewarded and undesirable brain activity is inhibited. The research team aimed to examine the efficacy of neurofeedback therapy on electroencephalogram (EEG) for heart rate, electrocardiogram (ECG) and galvanic skin resistance (GSR) parameters in a healthy young male population. METHODS: Forty healthy young male subjects aged between 18 to 30 years participated in this study...
December 1, 2016: Clinical and Investigative Medicine. Médecine Clinique et Experimentale
https://www.readbyqxmd.com/read/27894358/attentional-and-affective-consequences-of-technology-supported-mindfulness-training-a-randomised-active-control-efficacy-trial
#2
Sheffy Bhayee, Patricia Tomaszewski, Daniel H Lee, Graeme Moffat, Lou Pino, Sylvain Moreno, Norman A S Farb
BACKGROUND: Mindfulness training (MT) programs represent an approach to attention training with well-validated mental health benefits. However, research supporting MT efficacy is based predominantly on weekly-meeting, facilitator-led, group-intervention formats. It is unknown whether participants might benefit from neurofeedback-assisted, technology-supported MT (N-tsMT), in which meditation is delivered individually, without the need for a facilitator, travel to a training site, or the presence of a supportive group environment...
November 29, 2016: BMC Psychology
https://www.readbyqxmd.com/read/27884551/resting-state-abnormalities-in-heroin-dependent-individuals
#3
REVIEW
Niki Pandria, Leda Kovatsi, Ana B Vivas, Panagiotis D Bamidis
Drug addiction is a major health problem worldwide. Recent neuroimaging studies have shed light into the underlying mechanisms of drug addiction as well as its consequences to the human brain. The most vulnerable, to heroin addiction, brain regions have been reported to be specific prefrontal, parietal, occipital, and temporal regions, as well as, some subcortical regions. The brain regions involved are usually linked with reward, motivation/drive, memory/learning, inhibition as well as emotional control and seem to form circuits that interact with each other...
November 21, 2016: Neuroscience
https://www.readbyqxmd.com/read/27869190/embodied-neurofeedback-with-an-anthropomorphic-robotic-hand
#4
Niclas Braun, Reiner Emkes, Jeremy D Thorne, Stefan Debener
Neurofeedback-guided motor imagery training (NF-MIT) has been suggested as a promising therapy for stroke-induced motor impairment. Whereas much NF-MIT research has aimed at signal processing optimization, the type of sensory feedback given to the participant has received less attention. Often the feedback signal is highly abstract and not inherently coupled to the mental act performed. In this study, we asked whether an embodied feedback signal is more efficient for neurofeedback operation than a non-embodiable feedback signal...
November 21, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27866283/learning-curves-of-theta-beta-neurofeedback-in-children-with-adhd
#5
Tieme W P Janssen, Marleen Bink, Wouter D Weeda, Katleen Geladé, Rosa van Mourik, Athanasios Maras, Jaap Oosterlaan
: Neurofeedback is widely applied as non-pharmacological intervention aimed at reducing symptoms of ADHD, even though efficacy has not been unequivocally established. Neuronal changes during the neurofeedback intervention that resemble learning can provide crucial evidence for the feasibility and specificity of this intervention. A total of 38 children (aged between 7 and 13 years) with a DSM-IV-TR diagnosis of ADHD, completed on average 29 sessions of theta (4-8 Hz)/beta (13-20 Hz) neurofeedback training...
November 19, 2016: European Child & Adolescent Psychiatry
https://www.readbyqxmd.com/read/27845156/coping-food-craving-with-neurofeedback-evaluation-of-the-usefulness-of-alpha-theta-training-in-a-non-clinical-sample
#6
Claudio Imperatori, Enrico Maria Valenti, Giacomo Della Marca, Noemi Amoroso, Chiara Massullo, Giuseppe Alessio Carbone, Giulia Maestoso, Maria Isabella Quintiliani, Anna Contardi, Benedetto Farina
The aim of the present study was to explore the usefulness of the alpha/theta (A/T) training in reducing Food Craving (FC) in a non-clinical sample. The modifications of electroencephalographic (EEG) power spectra associated with A/T training was also investigated. Fifty subjects were enrolled in the study and randomly assigned to receive ten sessions of A/T training [neurofeedback group (NFG)=25], or to act as controls [waiting list group (WLG)=25]. All participants were administered the Food Cravings Questionnaire-Trait, the Eating Disorder Examination Questionnaire and the Symptom Checklist-90-Revised...
November 12, 2016: International Journal of Psychophysiology
https://www.readbyqxmd.com/read/27836708/the-real-time-fmri-neurofeedback-based-stratification-of-default-network-regulation-neuroimaging-data-repository
#7
Amalia R McDonald, Jordan Muraskin, Nicholas T Van Dam, Caroline Froehlich, Benjamin Puccio, John Pellman, Clemens C C Bauer, Alexis Akeyson, Melissa M Breland, Vince D Calhoun, Steven Carter, Tiffany P Chang, Chelsea Gessner, Alyssa Gianonne, Steven Giavasis, Jamie Glass, Steven Homann, Margaret King, Melissa Kramer, Drew Landis, Alexis Lieval, Jonathan Lisinski, Anna Mackay-Brandt, Brittny Miller, Laura Panek, Hayley Reed, Christine Santiago, Eszter Schoell, Richard Sinnig, Melissa Sital, Elise Taverna, Russell Tobe, Kristin Trautman, Betty Varghese, Lauren Walden, Runtang Wang, Abigail B Waters, Dylan C Wood, F Xavier Castellanos, Bennett Leventhal, Stanley J Colcombe, Stephen LaConte, Michael P Milham, R Cameron Craddock
This data descriptor describes a repository of openly shared data from an experiment to assess inter-individual differences in default mode network (DMN) activity. This repository includes cross-sectional functional magnetic resonance imaging (fMRI) data from the Multi Source Interference Task, to assess DMN deactivation, the Moral Dilemma Task, to assess DMN activation, a resting state fMRI scan, and a DMN neurofeedback paradigm, to assess DMN modulation, along with accompanying behavioral and cognitive measures...
November 9, 2016: NeuroImage
https://www.readbyqxmd.com/read/27829128/theta-beta-neurofeedback-in-children-with-adhd-feasibility-of-a-short-term-setting-and-plasticity-effects
#8
Jessica Van Doren, Hartmut Heinrich, Mareile Bezold, Nina Reuter, Oliver Kratz, Stefanie Horndasch, Matthias Berking, Tomas Ros, Holger Gevensleben, Gunther H Moll, Petra Studer
Neurofeedback (NF) is increasingly used as a therapy for attention-deficit/hyperactivity disorder (ADHD), however behavioral improvements require 20 plus training sessions. More economic evaluation strategies are needed to test methodological optimizations and mechanisms of action. In healthy adults, neuroplastic effects have been demonstrated directly after a single session of NF training. The aim of our study was to test the feasibility of short-term theta/beta NF in children with ADHD and to learn more about the mechanisms underlying this protocol...
November 6, 2016: International Journal of Psychophysiology
https://www.readbyqxmd.com/read/27821966/effects-of-neurofeedback-training-on-the-brain-wave-of-adults-with-forward-head-posture
#9
Hyun-Ju Oh, Gui-Bin Song
[Purpose] The purpose of the present study was to examine the effects of neurofeedback training on electroencephalogram changes in the cervical spine in adults with forward head posture through x-ray. [Subjects and Methods] The subjects of the study were 40 college students with forward head posture, randomly divided into a neurofeedback training group (NFTG, n=20) and a control group (CG, n=20). The neurofeedback training group performed six sessions of pottery and archery games, each for two minutes, three times per week for four weeks, while using the neurofeedback system...
October 2016: Journal of Physical Therapy Science
https://www.readbyqxmd.com/read/27821957/effects-of-neurofeedback-training-on-the-cervical-movement-of-adults-with-forward-head-posture
#10
Hyun-Ju Oh, Gui-Bin Song
[Purpose] The purpose of the present study was to examine the effects of neurofeedback training on postural changes in the cervical spine and changes in the range of motion of the neck and in the Neck Disability Index in adults with forward head posture. [Subjects and Methods] The subjects of the study were 40 college students with forward head posture, randomly divided into a neurofeedback training group (NFTG, n=20) and a control group (CG, n=20). The neurofeedback training group received six sessions of pottery and archery games, each for two minutes, three times per week for four weeks, using the neurofeedback system...
October 2016: Journal of Physical Therapy Science
https://www.readbyqxmd.com/read/27818001/simultaneous-eeg-fnirs-reveals-how-age-and-feedback-affect-motor-imagery-signatures
#11
Catharina Zich, Stefan Debener, Ann-Kathrin Thoene, Ling-Chia Chen, Cornelia Kranczioch
Stroke frequently results in motor impairment. Motor imagery (MI), the mental practice of movements, has been suggested as a promising complement to other therapeutic approaches facilitating motor rehabilitation. Of particular potential is the combination of MI with neurofeedback (NF). However, MI NF protocols have been largely optimized only in younger healthy adults, although strokes occur more frequently in older adults. The present study examined the influence of age on the neural correlates of MI supported by electroencephalogram (EEG)-based NF and on the neural correlates of motor execution...
October 15, 2016: Neurobiology of Aging
https://www.readbyqxmd.com/read/27807349/induced-sensorimotor-brain-plasticity-controls-pain-in-phantom-limb-patients
#12
Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Haruhiko Kishima, Takeshi Shimizu, Hiroshi Yokoi, Masayuki Hirata, Toshiki Yoshimine, Yukiyasu Kamitani, Youichi Saitoh
The cause of pain in a phantom limb after partial or complete deafferentation is an important problem. A popular but increasingly controversial theory is that it results from maladaptive reorganization of the sensorimotor cortex, suggesting that experimental induction of further reorganization should affect the pain, especially if it results in functional restoration. Here we use a brain-machine interface (BMI) based on real-time magnetoencephalography signals to reconstruct affected hand movements with a robotic hand...
October 27, 2016: Nature Communications
https://www.readbyqxmd.com/read/27803662/real-time-fmri-in-neuroscience-research-and-its-use-in-studying-the-aging-brain
#13
REVIEW
Mohit Rana, Andrew Q Varan, Anis Davoudi, Ronald A Cohen, Ranganatha Sitaram, Natalie C Ebner
Cognitive decline is a major concern in the aging population. It is normative to experience some deterioration in cognitive abilities with advanced age such as related to memory performance, attention distraction to interference, task switching, and processing speed. However, intact cognitive functioning in old age is important for leading an independent day-to-day life. Thus, studying ways to counteract or delay the onset of cognitive decline in aging is crucial. The literature offers various explanations for the decline in cognitive performance in aging; among those are age-related gray and white matter atrophy, synaptic degeneration, blood flow reduction, neurochemical alterations, and change in connectivity patterns with advanced age...
2016: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/27790085/what-turns-assistive-into-restorative-brain-machine-interfaces
#14
Alireza Gharabaghi
Brain-machine interfaces (BMI) may support motor impaired patients during activities of daily living by controlling external devices such as prostheses (assistive BMI). Moreover, BMIs are applied in conjunction with robotic orthoses for rehabilitation of lost motor function via neurofeedback training (restorative BMI). Using assistive BMI in a rehabilitation context does not automatically turn them into restorative devices. This perspective article suggests key features of restorative BMI and provides the supporting evidence: In summary, BMI may be referred to as restorative tools when demonstrating subsequently (i) operant learning and progressive evolution of specific brain states/dynamics, (ii) correlated modulations of functional networks related to the therapeutic goal, (iii) subsequent improvement in a specific task, and (iv) an explicit correlation between the modulated brain dynamics and the achieved behavioral gains...
2016: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/27782853/the-preprocessed-connectomes-project-repository-of-manually-corrected-skull-stripped-t1-weighted-anatomical-mri-data
#15
Benjamin Puccio, James P Pooley, John S Pellman, Elise C Taverna, R Cameron Craddock
BACKGROUND: Skull-stripping is the procedure of removing non-brain tissue from anatomical MRI data. This procedure can be useful for calculating brain volume and for improving the quality of other image processing steps. Developing new skull-stripping algorithms and evaluating their performance requires gold standard data from a variety of different scanners and acquisition methods. We complement existing repositories with manually corrected brain masks for 125 T1-weighted anatomical scans from the Nathan Kline Institute Enhanced Rockland Sample Neurofeedback Study...
October 25, 2016: GigaScience
https://www.readbyqxmd.com/read/27762234/expanding-the-kaleido-scope-exploring-current-literature-trends-for-translating-electroencephalography-eeg-based-brain-computer-interfaces-for-motor-rehabilitation-in-children
#16
E Kinney-Lang, B Auyeung, J Escudero
Rehabilitation applications using brain-computer interfaces (BCI) have recently shown encouraging results for motor recovery. Effective BCI neurorehabilitation has been shown to exploit neuroplastic properties of the brain through mental imagery tasks. However, these applications and results are currently restricted to adults. A systematic search reveals there is essentially no literature describing motor rehabilitative BCI applications that use electroencephalograms (EEG) in children, despite advances in such applications with adults...
December 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27761664/increasing-performance-of-professional-soccer-players-and-elite-track-and-field-athletes-with-peak-performance-training-and-biofeedback-a-pilot-study
#17
Noortje H Rijken, Remko Soer, Ewold de Maar, Hilco Prins, Wouter B Teeuw, Jan Peuscher, Frits G J Oosterveld
The aim of this pilot study was to investigate the effects of an intervention consisting of mental coaching combined with either electro encephalogram (EEG) alpha power feedback or heart rate variability (HRV) feedback on HRV, EEG outcomes and self-reported factors related to stress, performance, recovery and sleep quality in elite athletes. A prospective pilot study was performed with two distinct cohorts. Soccer players were provided with four sessions of mental coaching combined with daily HRV biofeedback (Group A); track and field athletes were provided with four sessions of mental coaching in combination with daily neurofeedback (Group B)...
December 2016: Applied Psychophysiology and Biofeedback
https://www.readbyqxmd.com/read/27723607/mapping-learning-visualization-classification-and-understanding-of-fmri-data-in-the-neucube-evolving-spatiotemporal-data-machine-of-spiking-neural-networks
#18
Nikola K Kasabov, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh
This paper introduces a new methodology for dynamic learning, visualization, and classification of functional magnetic resonance imaging (fMRI) as spatiotemporal brain data. The method is based on an evolving spatiotemporal data machine of evolving spiking neural networks (SNNs) exemplified by the NeuCube architecture [1]. The method consists of several steps: mapping spatial coordinates of fMRI data into a 3-D SNN cube (SNNc) that represents a brain template; input data transformation into trains of spikes; deep, unsupervised learning in the 3-D SNNc of spatiotemporal patterns from data; supervised learning in an evolving SNN classifier; parameter optimization; and 3-D visualization and model interpretation...
October 6, 2016: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/27716290/neurofeedback-training-for-alcohol-dependence-versus-treatment-as-usual-study-protocol-for-a-randomized-controlled-trial
#19
W Miles Cox, Leena Subramanian, David E J Linden, Michael Lührs, Rachel McNamara, Rebecca Playle, Kerenza Hood, Gareth Watson, Joseph R Whittaker, Raman Sakhuja, Niklas Ihssen
BACKGROUND: Real-time functional magnetic resonance imaging (rtfMRI) is used for neurofeedback training (NFT). Preliminary results suggest that it can help patients to control their symptoms. This study uses rtfMRI NFT for relapse prevention in alcohol dependence. METHODS/DESIGN: Participants are alcohol-dependent patients who have completed a detoxification programme within the past 6 months and have remained abstinent. Potential participants are screened for eligibility, and those who are eligible are randomly assigned to the treatment group (receiving rtfMRI NFT in addition to treatment as usual) or the control group (receiving only treatment as usual)...
October 3, 2016: Trials
https://www.readbyqxmd.com/read/27709391/eeg-fmri-study-of-alpha-stimulation-neurobiofeedback-training-course
#20
L I Kozlova, M B Shtark, M E Mel'nikov, E G Verevkin, A A Savelov, E D Petrovskii
fMRI-EEG dynamics of brain activity in volunteers was studied during the course of EEG alpha-stimulation training (20 sessions). Twenty-three healthy men (20-35 years) were subjected to 3-fold mapping in a feedback loop (EEG alpha-rhythm biofeedback with acoustic reinforcement). This procedure was performed at the beginning, middle, and end of the course. During the first neurofeedback training session, deactivation (p<0.001) was found in the right angular gyrus, supramarginal, and superior temporal gyri, Brodmann area 39, and cerebellum...
September 2016: Bulletin of Experimental Biology and Medicine
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