scholarly journals EEG-heart rate connectivity changes after sensorimotor rhythm neurofeedback training: Ancillary study

Author(s):  
Guzmán Alba ◽  
Juan L. Terrasa ◽  
Jaime Vila ◽  
Pedro Montoya ◽  
Miguel A. Muñoz
2012 ◽  
Vol 6 (1) ◽  
pp. 47-66 ◽  
Author(s):  
Lindsay Shaw ◽  
Leonard Zaichkowsky ◽  
Vietta Wilson

The present paper evaluated the efficacy of a biofeedback/neurofeedback training program to create an optimal preperformance state to improve gymnasts’ balance beam performance in competition. Training to increase heart rate variability (HRV) and sensorimotor rhythm while inhibiting theta was provided to 11 Division I gymnasts in 10 15-min sessions. Results of this uncontrolled study indicated that competition scores and scores from an independently judged video assessment improved throughout the training, beta decreased from preto postassessment, and there were no changes in HRV, sensorimotor rhythm, or theta. The withdrawal of training resulted in a decline of competition scores.


2020 ◽  
pp. 95-95
Author(s):  
Ivana Stankovic ◽  
Tihomir Ilic ◽  
Ljiljana Jelicic ◽  
Misko Subotic ◽  
Vesna Martic ◽  
...  

2012 ◽  
Vol 24 (04) ◽  
pp. 307-312 ◽  
Author(s):  
Majid Ghoshuni ◽  
Mohammad Firoozabadi ◽  
Mohammad Ali Khalilzadeh ◽  
Mohammad Reza Hashemi Golpayegani

Sensorimotor rhythm (SMR) neurofeedback training (NFT) has an important role in improvement of cognitive functions in both clinical and healthy individuals. It is very possible that in SMR NFT adjacent frequency bands, such as alpha and beta1, be affected by SMR enhancing neurofeedback. Therefore, the adjacent frequency bands, in addition to SMR, may be associated with the improvement of the cognitive functions. Eight sessions of NFT were applied to healthy individuals to enhance their SMR activity. In order to investigate the effect of SMR enhancing neurofeedback on the power of adjacent frequency bands, correlation between the change in SMR activity and the change in alpha or beta1 activity was computed. The results revealed that there is a highly significant positive correlation between the change in SMR and beta1 activities. The given outcome suggests that during SMR NFT, the effect of both SMR and beta1 be considered together on the improvement of the cognitive functions.


2012 ◽  
Vol 85 (3) ◽  
pp. 417
Author(s):  
M.V. Skoraya ◽  
N.V. Balios ◽  
K.B. Muravlyova ◽  
D. Vernon ◽  
O.M. Bazanova

2013 ◽  
Vol 17 (1) ◽  
pp. 43-48 ◽  
Author(s):  
Andrea Reid ◽  
Stephanie Nihon ◽  
Lynda Thompson ◽  
Michael Thompson

10.2196/10845 ◽  
2018 ◽  
Vol 5 (4) ◽  
pp. e10845 ◽  
Author(s):  
Sandra Fielenbach ◽  
Franc CL Donkers ◽  
Marinus Spreen ◽  
Stefan Bogaerts

Background Forensic psychiatric patients are often diagnosed with psychiatric disorders characterized by high levels of impulsivity as well as comorbid substance use disorders (SUD). The combination of psychiatric disorders and SUD increases the risk of future violence. Chronic substance abuse can lead to a structural state of disinhibition, resulting in more drug taking and eventually loss of control over drug intake. When treating SUD, it is crucial to address high levels of impulsivity and lack of inhibitory control. Objective This study set out to investigate the effects of a theta/sensorimotor rhythm (SMR) neurofeedback training protocol on levels of impulsivity, levels of drug craving, and actual drug intake in a population of forensic psychiatric patients with a diagnosis of SUD. Methods A total of 21 participants received 20 sessions of theta/SMR neurofeedback training in combination with treatment-as-usual (TAU). Results of the intervention were compared with results from 21 participants who received TAU only. Results SMR magnitude showed a significant (P=.02) increase post training for patients in the neurofeedback training group, whereas theta magnitude did not change (P=.71). Levels of drug craving as well as scores on the motor subscale of the Barratt Impulsivity Scale-11 decreased equally for patients in the neurofeedback training group and the TAU group. Other measures of impulsivity as well as drug intake did not change posttreatment (P>.05). Therefore, neurofeedback+TAU was not more effective than TAU only. Conclusions This study demonstrated evidence that forensic psychiatric patients are able to increase SMR magnitude over the course of neurofeedback training. However, at the group level, the increase in SMR activity was not related to any of the included impulsivity or drug craving measures. Further research should focus on which patients will be able to benefit from neurofeedback training at an early stage of the employed training sessions. Trial Registration Dutch National Trial Register: NTR5386; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=5386 (Archived by WebCite at http://www.webcitation.org/6nXLQuoLl).


2015 ◽  
Vol 37 (6) ◽  
pp. 626-636 ◽  
Author(s):  
Ming-Yang Cheng ◽  
Chung-Ju Huang ◽  
Yu-Kai Chang ◽  
Dirk Koester ◽  
Thomas Schack ◽  
...  

Sensorimotor rhythm (SMR) activity has been related to automaticity during skilled action execution. However, few studies have bridged the causal link between SMR activity and sports performance. This study investigated the effect of SMR neurofeedback training (SMR NFT) on golf putting performance. We hypothesized that preelite golfers would exhibit enhanced putting performance after SMR NFT. Sixteen preelite golfers were recruited and randomly assigned into either an SMR or a control group. Participants were asked to perform putting while electroencephalogram (EEG) was recorded, both before and after intervention. Our results showed that the SMR group performed more accurately when putting and exhibited greater SMR power than the control group after 8 intervention sessions. This study concludes that SMR NFT is effective for increasing SMR during action preparation and for enhancing golf putting performance. Moreover, greater SMR activity might be an EEG signature of improved attention processing, which induces superior putting performance.


Author(s):  
Shuang Liu ◽  
Xinyu Hao ◽  
Xiaoya Liu ◽  
Yuchen He ◽  
Ludan Zhang ◽  
...  

Biofeedback ◽  
2012 ◽  
Vol 40 (1) ◽  
pp. 34-38 ◽  
Author(s):  
Lindsay Shaw ◽  
Vietta Wilson ◽  
Stephanie Nihon

There is a strong interest in what separates top-level performers from those who have yet to achieve the same level, across all performance domains. Advances in psychophysiology give insight into where these differences may lie in the minds and bodies of athletes. The present study compared gymnasts who were selected for the competitive lineup to those who were considered part of the Division I gymnastics beam squad but did not compete. This study compared their initial baselines, their response to heart rate variability and neurofeedback training, and their posttraining levels. Baseline differences existed for self-perception of consistency and confidence. There were no pre or post differences in heart rate variability measures. Sensorimotor rhythm electroencephalography (EEG) biofeedback training was associated with a decline in busy brain waves for the competitors. The competitors also had a lower ratio of intensity (intensity/high alpha) in both the pre- and post-EEG measures.


2021 ◽  
Vol 11 (4) ◽  
pp. 457
Author(s):  
Rubén Pérez-Elvira ◽  
Javier Oltra-Cucarella ◽  
José Antonio Carrobles ◽  
Jorge Moltó ◽  
Mercedes Flórez ◽  
...  

The brain activity that is measured by electroencephalography (EEG) can be modified through operant conditioning, specifically using neurofeedback (NF). NF has been applied to several disorders claiming that a change in the erratic brain activity would be accompanied by a reduction of the symptoms. However, the expected results are not always achieved. Some authors have suggested that the lack of an adequate response may be due to an incorrect application of the operant conditioning principles. A key factor in operant conditioning is the use of reinforcers and their value in modifying behavior, something that is not always sufficiently taken into account. This work aims to clarify the relevance of the motivational value versus the purely informational value of the reinforcer. In this study, 113 subjects were randomly assigned two different reinforcer conditions: a selected reinforcer—the subjects subjectively selected the reinforcers—or an imposed reinforcer—the reinforcers were assigned by the experimenter—and both groups undertook NF sessions to enhance the sensorimotor rhythm (SMR). In addition, the selected reinforcer group was divided into two subgroups: one receiving real NF and the other one sham NF. There were no significant differences between the groups at baseline in terms of SMR amplitude. After the intervention, only those subjects belonging to the selected reinforcer group and receiving real NF increased their SMR. Our results provide evidence for the importance of the motivational value of the reinforcer in Neurofeedback success.


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