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https://www.readbyqxmd.com/read/28069531/can-we-predict-who-will-respond-to-neurofeedback-a-review-of-the-inefficacy-problem-and-existing-predictors-for-successful-eeg-neurofeedback-learning
#1
REVIEW
O Alkoby, A Abu-Rmileh, O Shriki, D Todder
Despite the success of neurofeedback treatment in many cases, the variability in the efficacy of the treatment is high, and some studies report that a significant proportion of subjects does not benefit from it. Quantifying the extent of this problem is difficult, as many studies do not report the variability among subjects. Nonetheless, the ability to identify in advance those subjects who are - or who are not - likely to benefit from neurofeedback is an important issue, which is only now starting to gain attention...
January 6, 2017: Neuroscience
https://www.readbyqxmd.com/read/28041692/neurofeedback-one-of-today-s-techniques-in-psychiatry
#2
M Arns, J-M Batail, S Bioulac, M Congedo, C Daudet, D Drapier, T Fovet, R Jardri, M Le-Van-Quyen, F Lotte, D Mehler, J-A Micoulaud-Franchi, D Purper-Ouakil, F Vialatte
OBJECTIVES: Neurofeedback is a technique that aims to teach a subject to regulate a brain parameter measured by a technical interface to modulate his/her related brain and cognitive activities. However, the use of neurofeedback as a therapeutic tool for psychiatric disorders remains controversial. The aim of this review is to summarize and to comment the level of evidence of electroencephalogram (EEG) neurofeedback and real-time functional magnetic resonance imaging (fMRI) neurofeedback for therapeutic application in psychiatry...
December 29, 2016: L'Encéphale
https://www.readbyqxmd.com/read/28032396/computational-neuroscience-approach-to-biomarkers-and-treatments-for-mental-disorders
#3
Noriaki Yahata, Kiyoto Kasai, Mitsuo Kawato
Psychiatry research has long experienced a stagnation stemming from a lack of understanding of the neurobiological underpinnings of phenomenologically defined mental disorders. Recently, the application of computational neuroscience to psychiatry research has shown great promise in establishing a link between phenomenological and pathophysiological aspects of mental disorders, thereby recasting current nosology in more biologically meaningful dimensions. In this review, we highlight recent investigations in computational neuroscience that undertook either theory- or data-driven approaches to quantitatively delineate the mechanisms of mental disorders...
December 29, 2016: Psychiatry and Clinical Neurosciences
https://www.readbyqxmd.com/read/28031993/support-vector-machine-classification-of-arterial-volume-weighted-arterial-spin-tagging-images
#4
Yash S Shah, Luis Hernandez-Garcia, Hesamoddin Jahanian, Scott J Peltier
INTRODUCTION: In recent years, machine-learning techniques have gained growing popularity in medical image analysis. Temporal brain-state classification is one of the major applications of machine-learning techniques in functional magnetic resonance imaging (fMRI) brain data. This article explores the use of support vector machine (SVM) classification technique with motor-visual activation paradigm to perform brain-state classification into activation and rest with an emphasis on different acquisition techniques...
December 2016: Brain and Behavior
https://www.readbyqxmd.com/read/28018199/near-infrared-spectroscopy-based-neurofeedback-of-prefrontal-cortex-activity-a-proof-of-concept-study
#5
Beatrix Barth, Ute Strehl, Andreas J Fallgatter, Ann-Christine Ehlis
Neurofeedback is a promising tool for treatment and rehabilitation of several patient groups. In this proof of principle study, near-infrared spectroscopy (NIRS) based neurofeedback of frontal cortical areas was investigated in healthy adults. Main aims were the assessment of learning, the effects on performance in a working memory (n-back) task and the impact of applied strategies on regulation. 13 healthy participants underwent eight sessions of NIRS based neurofeedback within 2 weeks to learn to voluntarily up-regulate hemodynamic activity in prefrontal areas...
2016: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28007612/low-motivational-incongruence-predicts-successful-eeg-resting-state-neurofeedback-in-healthy-adults
#6
Laura Diaz Hernandez, Kathryn Rieger, Thomas Koenig
Neurofeedback is becoming increasingly sophisticated and widespread, although predictors of successful performance still remain scarce. Here, we explored the possible predictive value of psychological factors and report the results obtained from a neurofeedback training study designed to enhance the self-regulation of spontaneous EEG microstates of a particular type (microstate class D). Specifically, we were interested in life satisfaction (including motivational incongruence), body awareness, personality and trait anxiety...
December 20, 2016: Neuroscience
https://www.readbyqxmd.com/read/28003656/closed-loop-brain-training-the-science-of-neurofeedback
#7
Ranganatha Sitaram, Tomas Ros, Luke Stoeckel, Sven Haller, Frank Scharnowski, Jarrod Lewis-Peacock, Nikolaus Weiskopf, Maria Laura Blefari, Mohit Rana, Ethan Oblak, Niels Birbaumer, James Sulzer
Neurofeedback is a psychophysiological procedure in which online feedback of neural activation is provided to the participant for the purpose of self-regulation. Learning control over specific neural substrates has been shown to change specific behaviours. As a progenitor of brain-machine interfaces, neurofeedback has provided a novel way to investigate brain function and neuroplasticity. In this Review, we examine the mechanisms underlying neurofeedback, which have started to be uncovered. We also discuss how neurofeedback is being used in novel experimental and clinical paradigms from a multidisciplinary perspective, encompassing neuroscientific, neuroengineering and learning-science viewpoints...
December 22, 2016: Nature Reviews. Neuroscience
https://www.readbyqxmd.com/read/27992574/comparing-features-for-classification-of-meg-responses-to-motor-imagery
#8
Hanna-Leena Halme, Lauri Parkkonen
BACKGROUND: Motor imagery (MI) with real-time neurofeedback could be a viable approach, e.g., in rehabilitation of cerebral stroke. Magnetoencephalography (MEG) noninvasively measures electric brain activity at high temporal resolution and is well-suited for recording oscillatory brain signals. MI is known to modulate 10- and 20-Hz oscillations in the somatomotor system. In order to provide accurate feedback to the subject, the most relevant MI-related features should be extracted from MEG data...
2016: PloS One
https://www.readbyqxmd.com/read/27992435/a-randomized-controlled-study-of-neurofeedback-for-chronic-ptsd
#9
Bessel A van der Kolk, Hilary Hodgdon, Mark Gapen, Regina Musicaro, Michael K Suvak, Ed Hamlin, Joseph Spinazzola
INTRODUCTION: Brain/Computer Interaction (BCI) devices are designed to alter neural signals and, thereby, mental activity. This study was a randomized, waitlist (TAU) controlled trial of a BCI, EEG neurofeedback training (NF), in patients with chronic PTSD to explore the capacity of NF to reduce PTSD symptoms and increase affect regulation capacities. STUDY DESIGN: 52 individuals with chronic PTSD were randomized to either NF (n = 28) or waitlist (WL) (n = 24). They completed four evaluations, at baseline (T1), after week 6 (T2), at post-treatment (T3), and at one month follow up (T4)...
2016: PloS One
https://www.readbyqxmd.com/read/27976739/multivoxel-neurofeedback-selectively-modulates-confidence-without-changing-perceptual-performance
#10
Aurelio Cortese, Kaoru Amano, Ai Koizumi, Mitsuo Kawato, Hakwan Lau
A central controversy in metacognition studies concerns whether subjective confidence directly reflects the reliability of perceptual or cognitive processes, as suggested by normative models based on the assumption that neural computations are generally optimal. This view enjoys popularity in the computational and animal literatures, but it has also been suggested that confidence may depend on a late-stage estimation dissociable from perceptual processes. Yet, at least in humans, experimental tools have lacked the power to resolve these issues convincingly...
December 15, 2016: Nature Communications
https://www.readbyqxmd.com/read/27965067/physiological-and-behavioral-effects-of-%C3%AE-tacs-on-brain-self-regulation-in-chronic-stroke
#11
Georgios Naros, Alireza Gharabaghi
BACKGROUND: Unlike in healthy controls, sensorimotor β-desynchronization (β-ERD) is compromised in stroke patients, i.e., the more severe the patient's motor impairment, the less β-ERD. This, in turn, provides a target substrate for therapeutic brain self-regulation and neurofeedback. OBJECTIVE: Transcranial alternating current stimulation (tACS) has been shown to modulate brain oscillations during and after stimulation, and may thus facilitate brain self-regulation during neurofeedback interventions...
November 9, 2016: Brain Stimulation
https://www.readbyqxmd.com/read/27929419/psychological-neuromodulatory-treatments-for-young-people-with-chronic-pain
#12
REVIEW
Jordi Miró, Elena Castarlenas, Rocío de la Vega, Rubén Roy, Ester Solé, Catarina Tomé-Pires, Mark P Jensen
The treatment of young people with chronic pain is a complex endeavor. Many of these youth do not obtain adequate relief from available interventions. Psychological neuromodulatory treatments have been shown to have potential benefit for adults with chronic pain. Here, we review and summarize the available information about the efficacy of three promising psychological neuromodulatory treatments-neurofeedback, meditation and hypnosis-when provided to young people with chronic pain. A total of 16 articles were identified and reviewed...
December 6, 2016: Children
https://www.readbyqxmd.com/read/27926436/to-work-or-not-to-work-neural-representation-of-cost-and-benefit-of-instrumental-action
#13
N B Kroemer, C Burrasch, L Hellrung
By definition, instrumental actions are performed in order to obtain certain goals. Nevertheless, the attainment of goals typically implies obstacles, and response vigor is known to reflect an integration of subjective benefit and cost. Whereas several brain regions have been associated with cost/benefit ratio decision-making, trial-by-trial fluctuations in motivation are not well understood. We review recent evidence supporting the motivational implications of signal fluctuations in the mesocorticolimbic system...
2016: Progress in Brain Research
https://www.readbyqxmd.com/read/27917787/effects-of-neurofeedback-therapy-in-healthy-young-subjects
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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