Neurofeedback training protocols based on spectral EEG feature subset and channel selection for performance enhancement of novice visual artists

Shourie, Nasrin; Firoozabadi, Mohammad; Badie, Kambiz

doi:10.1016/j.bspc.2018.02.017

Cited by 16 publications

(7 citation statements)

References 41 publications

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“…61 Since the main objective was to select a maximum of 2 effective features and channels, the chromosomes were considered as 4-dimensional cases (namely, the 2 first dimensions showed 2 feature indices and the second ones indicated the channel indices). The fitness function was thus defined as follows: [62][63][64][65] Fitness…”

Section: Using Ga To Select An Effective Subset Of Extracted Featuresmentioning

confidence: 99%

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Neurofeedback Training Protocol Based on Selecting Distinctive Features to Treat or Reduce ADHD Symptoms

Jalali

Sho’ouri

2021

Clin EEG Neurosci

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Resent research has shown that electroencephalography (EEG) theta/beta ratio (TBR) in cases with attention deficit hyperactivity disorder (ADHD) has thus far been reported lower than that in healthy individuals. Accordingly, utilizing EEG-TBR as a biomarker to diagnose ADHD has been called into question. Besides, employing known protocol to reduce EEG-TBR in the vertex (Cz) channel to treat ADHD via neurofeedback (NFB) has been doubted. The present study was to propose a new NFB treatment protocol to manage ADHD using EEG signals from 30 healthy controls and 30 children with ADHD through an attention-based task and to calculate relative power in their different frequency bands. Then, the most significant distinguishing features of EEG signals from both groups were determined via a genetic algorithm (GA). The results revealed that EEG-TBR values in children with ADHD were lower compared with those in healthy peers; however, such a difference was not statistically significant. Likewise, inhibiting alpha band activity and enhancing delta one in F7 or T5 channels was proposed as a new NFB treatment protocol for ADHD. No significant increase in EEG-TBR in the Cz channel among children with ADHD casts doubt on the effectiveness of using EEG-TBR inhibitory protocols in the Cz channel. Consequently, it was proposed to apply the new protocol along with reinforced beta-band activity to treat or reduce ADHD symptoms.

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Section: Using Ga To Select An Effective Subset Of Extracted Featuresmentioning

confidence: 99%

“…where n(C i ) is the number of C i reproductions (the n interval is also between 0 and 10) and Fitness norm refers to the normalized fitness, stated as follows: [62][63][64][65] Fitness norm…”

Section: Using Ga To Select An Effective Subset Of Extracted Featuresmentioning

confidence: 99%

Neurofeedback Training Protocol Based on Selecting Distinctive Features to Treat or Reduce ADHD Symptoms

Jalali

Sho’ouri

2021

Clin EEG Neurosci

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“…35 A decreased alpha wave activity was also reported for artists as compared to non-artists during the two cognitive tasks. 32,35 However, the relative delta power activity in subject No. 3 reduced during training, the relative alpha and theta power values increased, and SMR and low beta band activities remained constant.…”

Section: Discussionmentioning

confidence: 78%

“…They also observed a significant reduction in the relative alpha power of visual artists compared to non-artists; however, no significant difference was found in the relative power of theta (4-8Hz) and gamma (36-44Hz) bands between both study groups. 35 For this reason; the relative power values of delta, alpha, SMR, and low beta frequency bands were selected as neurofeedback training features. To classify both groups (visual artists: target group and non-artists: initial group) using the selected features, support vector machine (SVM) classifier was used.…”

Section: Description Of Proposed Training Methodsmentioning

confidence: 99%

“…In addition, brain activity patterns in individuals skilled in a specific field are different from those in non-skilled and novice ones. 18–39 If people learn to change their brain activity to assimilate them to those in skilled people, acquiring a skill or enhancing a performance will be assumed quicker. Therefore, NF is used to enhance performance in individuals.…”

Section: Introductionmentioning

confidence: 99%

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Hard Boundary-Based Neurofeedback Training Procedure: A Modified Fixed Thresholding Method for More Accurate Guidance of Subjects Within Target Areas During Neurofeedback Training

Sho’ouri

2022

Clin EEG Neurosci

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In nearly all studies within the domain of neurofeedback, a threshold has been defined for each training feature in a way that subjects’ status can be evaluated during training according to the given value. In this study, a hard boundary-based neurofeedback training (HBNFT) method based on the determination of decision boundary using support vector machine (SVM) classifier was proposed in which subjects’ status were clarified considering a decision boundary and they could also be encouraged once entering a target area. In this method, a scoring index (SI) was similarly defined whose value was determined in accordance with subject performance during training. The results revealed that employing a classifier and determining a decision boundary instead of using a threshold could prove more successful in accurately guiding them towards a target area and also meet no needs to choose a basis for determining a threshold. Moreover, it was likely that the proposed method could be more efficient in controlling features and preventing extreme changes compared to those using variable thresholds.

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EEG-Based classification of branded and unbranded stimuli associating with smartphone products: comparison of several machine learning algorithms

Özbeyaz

2021

Neural Comput & Applic

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Neurofeedback training protocols based on spectral EEG feature subset and channel selection for performance enhancement of novice visual artists

Cited by 16 publications

References 41 publications

Neurofeedback Training Protocol Based on Selecting Distinctive Features to Treat or Reduce ADHD Symptoms

Neurofeedback Training Protocol Based on Selecting Distinctive Features to Treat or Reduce ADHD Symptoms

Hard Boundary-Based Neurofeedback Training Procedure: A Modified Fixed Thresholding Method for More Accurate Guidance of Subjects Within Target Areas During Neurofeedback Training

EEG-Based classification of branded and unbranded stimuli associating with smartphone products: comparison of several machine learning algorithms

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