Near-infrared spectroscopy based neurofeedback training increases specific motor imagery related cortical activation compared to sham feedback

Kober, Silvia Erika; Wood, Guilherme; Kurzmann, Jürgen; Friedrich, Elisabeth V. C.; Stangl, Matthias; Wippel, T.; Väljamäe, Aleksander; Neuper, Christa

doi:10.1016/j.biopsycho.2013.05.005

Cited by 97 publications

(107 citation statements)

References 49 publications

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“…Four studies reported that fNIRS-nf increased activity in a variety of motor areas (Kanoh, Susila, & Miyamoto, 2011;Kober et al, 2014;Mihara et al, 2012Mihara et al, , 2013. However, simply moving a limb or covertly tensing a muscle can also modulate motor cortex activity and researchers rarely measure electromyography (EMG) to detect such covert muscle tensing.…”

Section: Fnirsmentioning

confidence: 99%

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The self-regulating brain and neurofeedback: Experimental science and clinical promise

Thibault

Lifshitz

Raz

2016

Cortex

216

198

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Neurofeedback, one of the primary examples of self-regulation, designates a collection of techniques that train the brain and help to improve its function. Since coming on the scene in the 1960s, electroencephalography-neurofeedback has become a treatment vehicle for a host of mental disorders; however, its clinical effectiveness remains controversial. Modern imaging technologies of the living human brain (e.g., real-time functional magnetic resonance imaging) and increasingly rigorous research protocols that utilize such methodologies begin to shed light on the underlying mechanisms that may facilitate more effective clinical applications. In this paper we focus on recent technological advances in the field of human brain imaging and discuss how these modern methods may influence the field of neurofeedback. Toward this end, we outline the state of the evidence and sketch out future directions to further explore the potential merits of this contentious therapeutic prospect.

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Section: Fnirsmentioning

confidence: 99%

“…brain modules change activity as a function of genuine, but not sham, feedback (Kober et al, 2014;Mihara et al, 2013). However, veritable feedback may teach participants to, perhaps involuntarily and without awareness, increase muscle tension rather than develop new mental techniques.…”

Section: Fnirsmentioning

confidence: 99%

The self-regulating brain and neurofeedback: Experimental science and clinical promise

Thibault

Lifshitz

Raz

2016

Cortex

216

198

View full text Add to dashboard Cite

show abstract

“…To this end, motor imagery has been shown in neurofeedback task paradigms to increase regional cortical activation: long-term effects of increased activation of motor areas involving neural circuitries associated with motor skill learning can last up to several days (Kober et al, 2014 andYoo et al, 2008). We can assume that motor imagery and motor system activation form a functional unit that, if activated in the resting state, serves the purpose of training motor performance.…”

Section: Introductionmentioning

confidence: 99%

Transcranial direct current stimulation of the motor cortex in waking resting state induces motor imagery

Speth

Harley

2015

Consciousness and Cognition

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This study investigates if anodal and cathodal transcranial direct current stimulation (tDCS) of areas above the motor cortex (C3) influences spontaneous motor imagery experienced in the waking resting state. A randomized triple-blinded design was used, combining neurophysiological techniques with tools of quantitative mentation report analysis from cognitive linguistics. The results indicate that while spontaneous motor imagery rarely occurs under sham stimulation, general and athletic motor imagery (classified as athletic disciplines), is induced by anodal tDCS. This insight may have implications beyond basic consciousness research. Motor imagery and corresponding motor cortical activation have been shown to benefit later motor performance. Electrophysiological manipulations of motor imagery could in the long run be used for rehabilitative tDCS protocols benefitting temporarily immobile clinical patients who cannot perform specific motor imagery tasks -such as dementia patients, infants with developmental and motor disorders, and coma patients.

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“…13,14,[16][17][18][19][20][21] The oxy-hemoglobin (oxy-Hb) signal was predominantly selected as the feedback signal source because of its superior sensitivity in task-related signal changes and its high correlation with blood oxygen level-dependent signals in fMRI. [22][23][24] Two basic neurofeedback models were used in these studies.…”

Section: Introductionmentioning

confidence: 99%

“…The feedback source signals were obtained in several different ways. For instance, some studies detected the feedback source signal at one predefined region of interest (ROI); 13,16,18 Kober et al 14,17 utilized the difference values between two predefined ROIs to reduce the influence of global physiological artifacts; Marx et al 20 subtracted the signal from the predefined ROI with the average of all the measured signals. In addition to using a predefined ROI, one study utilized a calibration period before the training task to automatically select an fNIRS channel as the ROI.…”

Section: Introductionmentioning

confidence: 99%

Optical-imaging-based neurofeedback to enhance therapeutic intervention in adolescents with autism: methodology and initial data

et al. 2016

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Abstract. Impaired facial processing may contribute to social dysfunction in certain individuals with autism spectrum disorder (ASD). Prior studies show that electroencephalogram-based and functional magnetic resonance imaging-based neurofeedback might help some individuals with ASD learn to modulate regional brain activity and thus reduce symptoms. Here, we report for the first time the feasibility of employing functional near-infrared spectroscopy (fNIRS)-based neurofeedback training in children with ASD. We developed a method to study physiological self-regulation of oxy-hemoglobin using real-time feedback. The paradigm is illustrated with initial data from four subjects who engaged in a facial-identity recognition training program during which an implicit reinforcement was given based on the participant's brain activity and behavioral performance. Two participants had a confirmed diagnosis of ASD, and the other two were typically developing (TD). One participant with ASD and one TD participant received real-feedback (real-FB) during the training, whereas the other two received sham-feedback (sham-FB). After five training sessions, the subjects who received real-FB showed more improvement in facial recognition performance compared with those receiving sham-FB, particularly in the participant with ASD. These results suggest fNIRS-based neurofeedback could enhance therapeutic intervention in children with ASD.

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Near-infrared spectroscopy based neurofeedback training increases specific motor imagery related cortical activation compared to sham feedback

Cited by 97 publications

References 49 publications

The self-regulating brain and neurofeedback: Experimental science and clinical promise

The self-regulating brain and neurofeedback: Experimental science and clinical promise

Transcranial direct current stimulation of the motor cortex in waking resting state induces motor imagery

Optical-imaging-based neurofeedback to enhance therapeutic intervention in adolescents with autism: methodology and initial data

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