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https://www.readbyqxmd.com/read/28214578/increasing-lateralized-motor-activity-in-younger-and-older-adults-using-real-time-fmri-during-executed-movements
#1
Heather F Neyedli, Cassandra Sampaio-Baptista, Matthew A Kirkman, David Havard, Michael Lührs, Katie Ramsden, David D Flitney, Stuart Clare, Rainer Goebel, Heidi Johansen-Berg
Neurofeedback training involves presenting an individual with a representation of their brain activity and instructing them to alter the activity using the feedback. One potential application of neurofeedback is for patients to alter neural improve function. For example, there is evidence that greater laterality of movement-related activity is associated with better motor outcomes after stroke; so using neurofeedback to increase laterality may provide a novel route for improving outcomes. However, we must demonstrate that individuals can control relevant neurofeedback signals...
February 15, 2017: Neuroscience
https://www.readbyqxmd.com/read/28197747/upper-alpha-based-neurofeedback-training-in-chronic-stroke-brain-plasticity-processes-and-cognitive-effects
#2
Silvia Erika Kober, Daniela Schweiger, Johanna Louise Reichert, Christa Neuper, Guilherme Wood
In the present study, we investigated the effects of upper alpha based neurofeedback (NF) training on electrical brain activity and cognitive functions in stroke survivors. Therefore, two single chronic stroke patients with memory deficits (subject A with a bilateral subarachnoid hemorrhage; subject B with an ischemic stroke in the left arteria cerebri media) and a healthy elderly control group (N = 24) received up to ten NF training sessions. To evaluate NF training effects, all participants performed multichannel electroencephalogram (EEG) resting measurements and a neuropsychological test battery assessing different cognitive functions before and after NF training...
February 14, 2017: Applied Psychophysiology and Biofeedback
https://www.readbyqxmd.com/read/28197092/bci-control-of-heuristic-search-algorithms
#3
Marc Cavazza, Gabor Aranyi, Fred Charles
The ability to develop Brain-Computer Interfaces (BCI) to Intelligent Systems would offer new perspectives in terms of human supervision of complex Artificial Intelligence (AI) systems, as well as supporting new types of applications. In this article, we introduce a basic mechanism for the control of heuristic search through fNIRS-based BCI. The rationale is that heuristic search is not only a basic AI mechanism but also one still at the heart of many different AI systems. We investigate how users' mental disposition can be harnessed to influence the performance of heuristic search algorithm through a mechanism of precision-complexity exchange...
2017: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/28185873/neurofeedback-as-supplementary-training-for-optimizing-athletes-performance-a-systematic-review-with-implications-for-future-research
#4
REVIEW
Arash Mirifar, Jürgen Beckmann, Felix Ehrlenspiel
Self-regulation plays an important role in enhancing human performance. Neurofeedback is a promising noninvasive approach for modifying human brain oscillation and can be utilized in developing skills for self-regulation of brain activity. So far, the effectiveness of neurofeedback has been evaluated with regard to not only its application in clinical populations but also the enhancement of performance in general. However, reviews of the application of neurofeedback training in the sports domain are absent, although this application goes back to 1991, when it was first applied in archery...
February 6, 2017: Neuroscience and Biobehavioral Reviews
https://www.readbyqxmd.com/read/28176012/implicit-learning-of-a-finger-motor-sequence-by-patients-with-cerebral-palsy-after-neurofeedback
#5
Ana Alves-Pinto, Varvara Turova, Tobias Blumenstein, Conny Hantuschke, Renée Lampe
Facilitation of implicit learning of a hand motor sequence after a single session of neurofeedback training of alpha power recorded from the motor cortex has been shown in healthy individuals (Ros et al., Biological Psychology 95:54-58, 2014). This facilitation effect could be potentially applied to improve the outcome of rehabilitation in patients with impaired hand motor function. In the current study a group of ten patients diagnosed with cerebral palsy trained reduction of alpha power derived from brain activity recorded from right and left motor areas...
February 7, 2017: Applied Psychophysiology and Biofeedback
https://www.readbyqxmd.com/read/28163140/decoded-fmri-neurofeedback-can-induce-bidirectional-confidence-changes-within-single-participants
#6
Aurelio Cortese, Kaoru Amano, Ai Koizumi, Hakwan Lau, Mitsuo Kawato
Neurofeedback studies using real-time functional magnetic resonance imaging (rt-fMRI) have recently incorporated the multi-voxel pattern decoding approach, allowing for fMRI to serve as a tool to manipulate fine-grained neural activity embedded in voxel patterns. Because of its tremendous potential for clinical applications, certain questions regarding decoded neurofeedback (DecNef) must be addressed. Specifically, can the same participants learn to induce neural patterns in opposite directions in different sessions? If so, how does previous learning affect subsequent induction effectiveness? These questions are critical because neurofeedback effects can last for months, but the short- to mid-term dynamics of such effects are unknown...
February 3, 2017: NeuroImage
https://www.readbyqxmd.com/read/28162360/-552-neurofeedback-to-treat-chemotherapy-induced-peripheral-neuropathy-cipn
#7
S Prinsloo, D Novy, L Driver, L Ramondetta, C Eng, G Lopez, R Lee, R Lyle, L Cohen
No abstract text is available yet for this article.
April 2016: Journal of Pain: Official Journal of the American Pain Society
https://www.readbyqxmd.com/read/28154796/continuous-vs-intermittent-neurofeedback-to-regulate-auditory-cortex-activity-of-tinnitus-patients-using-real-time-fmri-a-pilot-study
#8
Kirsten Emmert, Rotem Kopel, Yury Koush, Raphael Maire, Pascal Senn, Dimitri Van De Ville, Sven Haller
The emerging technique of real-time fMRI neurofeedback trains individuals to regulate their own brain activity via feedback from an fMRI measure of neural activity. Optimum feedback presentation has yet to be determined, particularly when working with clinical populations. To this end, we compared continuous against intermittent feedback in subjects with tinnitus. Fourteen participants with tinnitus completed the whole experiment consisting of nine runs (3 runs × 3 days). Prior to the neurofeedback, the target region was localized within the auditory cortex using auditory stimulation (1 kHz tone pulsating at 6 Hz) in an ON-OFF block design...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28131758/volitional-regulation-of-brain-responses-to-food-stimuli-in-overweight-and-obese-subjects-a-real-time-fmri-feedback-study
#9
Maartje S Spetter, Rahim Malekshahi, Niels Birbaumer, Michael Lührs, Albert H van der Veer, Klaus Scheffler, Sophia Spuckti, Hubert Preissl, Ralf Veit, Manfred Hallschmid
Obese subjects who achieve weight loss show increased functional connectivity between dorsolateral prefrontal cortex (dlPFC) and ventromedial prefrontal cortex (vmPFC), key areas of executive control and reward processing. We investigated the potential of real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback training to achieve healthier food choices by enhancing self-control of the interplay between these brain areas. We trained eight male individuals with overweight or obesity (age: 31.8 ± 4...
January 25, 2017: Appetite
https://www.readbyqxmd.com/read/28125735/fmri-neurofeedback-training-for-increasing-anterior-cingulate-cortex-activation-in-adult-attention-deficit-hyperactivity-disorder-an-exploratory-randomized-single-blinded-study
#10
Anna Zilverstand, Bettina Sorger, Dorine Slaats-Willemse, Cornelis C Kan, Rainer Goebel, Jan K Buitelaar
: Attention Deficit Hyperactivity Disorder (ADHD) is characterized by poor cognitive control/attention and hypofunctioning of the dorsal anterior cingulate cortex (dACC). In the current study, we investigated for the first time whether real-time fMRI neurofeedback (rt-fMRI) training targeted at increasing activation levels within dACC in adults with ADHD leads to a reduction of clinical symptoms and improved cognitive functioning. An exploratory randomized controlled treatment study with blinding of the participants was conducted...
2017: PloS One
https://www.readbyqxmd.com/read/28122696/neurofeedback-as-a-treatment-for-impulsivity-in-a-forensic-psychiatric-population-with-substance-use-disorder-study-protocol-of-a-randomized-controlled-trial-combined-with-an-n-of-1-clinical-trial
#11
Sandra Fielenbach, Franc Cl Donkers, Marinus Spreen, Stefan Bogaerts
BACKGROUND: Impulsivity and substance use disorder (SUD) are strongly interconnected, with persons scoring high on impulsivity being more vulnerable to develop substance abuse, facing more challenges for successful treatment, and being more prone to engage in criminal behavior. Studies have shown that impulsivity and craving for substances are strongly correlated. Neurofeedback is an effective treatment to reduce impulsive behavior. This study intends to determine to what extent a neurofeedback-intervention that is aimed at reducing impulsivity can also reduce levels of craving in forensic patients with SUD and comorbid Axis I and/or II diagnoses...
January 25, 2017: JMIR Research Protocols
https://www.readbyqxmd.com/read/28118856/nirs-based-neurofeedback-training-in-a-virtual-reality-classroom-for-children-with-attention-deficit-hyperactivity-disorder-study-protocol-for-a-randomized-controlled-trial
#12
Friederike Blume, Justin Hudak, Thomas Dresler, Ann-Christine Ehlis, Jan Kühnhausen, Tobias J Renner, Caterina Gawrilow
BACKGROUND: Children with attention-deficit/hyperactivity disorder (ADHD) suffer from attention deficits, motor hyperactivity, and impulsive behaviour. These impairments are experienced at home, at school, and with friends. Functional imaging studies show that ADHD behaviour and impairments in executive functions (EFs) are mirrored by aberrant neurophysiological functioning. Moreover, several studies show that ADHD behaviour, impairments in EFs, and a lack of self-control contribute to poor school performance...
January 24, 2017: Trials
https://www.readbyqxmd.com/read/28113590/neurofeedback-control-in-parkinsonian-patients-using-electrocortigraphy-signals-accessed-wirelessly-with-a-chronic-fully-implanted-device
#13
Preeya Khanna, Nicole Swann, Coralie De Hemptinne, Svjetlana Miocinovic, Andrew Miller, Philip A Starr, Jose M Carmena
Parkinson's disease (PD) is characterized by motor symptoms such as rigidity and bradykinesia that prevent normal movement. Beta band oscillations (13-30 Hz) in neural local field potentials (LFPs) have been associated with these motor symptoms. Here, three PD patients implanted with a therapeutic deep brain neural stimulator that can also record and wirelessly stream neural data played a neurofeedback game where they modulated their beta band power from sensorimotor cortical areas. Patients' beta band power was streamed in real-time to update the position of a cursor that they tried to drive into a cued target...
August 24, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
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
#14
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 7, 2017: Neuroscience
https://www.readbyqxmd.com/read/28041692/neurofeedback-one-of-today-s-techniques-in-psychiatry
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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...
February 2017: Nature Reviews. Neuroscience
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