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On the efficiency of individualized theta/beta ratio neurofeedback combined with forehead EMG training in ADHD children. / Bazanova, Olga M.; Auer, Tibor; Sapina, Elena A.

In: Frontiers in Human Neuroscience, Vol. 12, 3, 18.01.2018, p. 3.

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Bazanova OM, Auer T, Sapina EA. On the efficiency of individualized theta/beta ratio neurofeedback combined with forehead EMG training in ADHD children. Frontiers in Human Neuroscience. 2018 Jan 18;12:3. 3. doi: 10.3389/fnhum.2018.00003

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Bazanova, Olga M. ; Auer, Tibor ; Sapina, Elena A. / On the efficiency of individualized theta/beta ratio neurofeedback combined with forehead EMG training in ADHD children. In: Frontiers in Human Neuroscience. 2018 ; Vol. 12. pp. 3.

BibTeX

@article{c649b084593f447a8f5aca3f42eab6b1,
title = "On the efficiency of individualized theta/beta ratio neurofeedback combined with forehead EMG training in ADHD children",
abstract = "Background: Neurofeedback training (NFT) to decrease the theta/beta ratio (TBR) has been used for treating hyperactivity and impulsivity in attention deficit hyperactivity disorder (ADHD); however, often with low efficiency. Individual variance in EEG profile can confound NFT, because it may lead to influencing non-relevant activity, if ignored. More importantly, it may lead to influencing ADHD-related activities adversely, which may even result in worsening ADHD symptoms. Electromyogenic (EMG) signal resulted from forehead muscles can also explain the low efficiency of the NFT in ADHD from both practical and psychological point-of-view. The first aim of this study was to determine EEG and EMG biomarkers most related to the main ADHD characteristics, such as impulsivity and hyperactivity. The second aim was to confirm our hypothesis that the efficiency of the TBR NFT can be increased by individual adjustment of the frequency bands and simultaneous training on forehead muscle tension. Methods: We recruited 94 children diagnosed with ADHD (ADHD) and 23 healthy controls (HC). All participants were male and aged between six and nine. Impulsivity and attention were assessed with Go/no-Go task and delayed gratification task, respectively; and 19-channel EEG and forehead EMG were recorded. Then, the ADHD group was randomly subdivided into (1) standard, (2) individualized, (3) individualized+EMG, and (4) sham NFT (control) groups. The groups were compared based on TBR and EEG alpha activity, as well as hyperactivity and impulsivity three times: pre-NFT, post-NFT and 6 months after the NFT (follow-up). Results: ADHD children were characterized with decreased individual alpha peak frequency, alpha bandwidth and alpha amplitude suppression magnitude, as well as with increased alpha1/alpha2 (a1/a2) ratio and scalp muscle tension when c (η2 ≥ 0.212). All contingent TBR NFT groups exhibited significant NFT-related decrease in TBR not evident in the control group. Moreover, we detected a higher overall alpha activity in the individualized but not in the standard NFT group. Mixed MANOVA considering between-subject factor GROUP and within-subject factor TIME showed that the individualized+EMGgroup exhibited the highest level of clinical improvement, which was associated with increase in the individual alpha activity at the 6 months follow-up when comparing with the other approaches (post hoc t = 3.456, p = 0.011). Conclusions: This study identified various (adjusted) alpha activity metrics as biomarkers with close relationship with ADHD symptoms, and demonstrated that TBR NFT individually adjusted for variances in alpha activity is more successful and clinically more efficient than standard, non-individualized NFT. Moreover, these training effects of the individualized TBR NFT lasted longer when combined with EMG.",
keywords = "ADHD, EMG, Individual alpha activity, Neurofeedback training, Theta/beta ratio, EEG-ANALYSIS, METAANALYSIS, DEFICIT HYPERACTIVITY DISORDER, INFORMATION, PERFORMANCE, BIOFEEDBACK, ATTENTION-DEFICIT/HYPERACTIVITY DISORDER, ELECTROENCEPHALOGRAM, neurofeedback training, theta/beta ratio, individual alpha activity, CORTICAL ACTIVITY, OSCILLATIONS",
author = "Bazanova, {Olga M.} and Tibor Auer and Sapina, {Elena A.}",
year = "2018",
month = jan,
day = "18",
doi = "10.3389/fnhum.2018.00003",
language = "English",
volume = "12",
pages = "3",
journal = "Frontiers in Human Neuroscience",
issn = "1662-5161",
publisher = "Frontiers Media S.A.",

}

RIS

TY - JOUR

T1 - On the efficiency of individualized theta/beta ratio neurofeedback combined with forehead EMG training in ADHD children

AU - Bazanova, Olga M.

AU - Auer, Tibor

AU - Sapina, Elena A.

PY - 2018/1/18

Y1 - 2018/1/18

N2 - Background: Neurofeedback training (NFT) to decrease the theta/beta ratio (TBR) has been used for treating hyperactivity and impulsivity in attention deficit hyperactivity disorder (ADHD); however, often with low efficiency. Individual variance in EEG profile can confound NFT, because it may lead to influencing non-relevant activity, if ignored. More importantly, it may lead to influencing ADHD-related activities adversely, which may even result in worsening ADHD symptoms. Electromyogenic (EMG) signal resulted from forehead muscles can also explain the low efficiency of the NFT in ADHD from both practical and psychological point-of-view. The first aim of this study was to determine EEG and EMG biomarkers most related to the main ADHD characteristics, such as impulsivity and hyperactivity. The second aim was to confirm our hypothesis that the efficiency of the TBR NFT can be increased by individual adjustment of the frequency bands and simultaneous training on forehead muscle tension. Methods: We recruited 94 children diagnosed with ADHD (ADHD) and 23 healthy controls (HC). All participants were male and aged between six and nine. Impulsivity and attention were assessed with Go/no-Go task and delayed gratification task, respectively; and 19-channel EEG and forehead EMG were recorded. Then, the ADHD group was randomly subdivided into (1) standard, (2) individualized, (3) individualized+EMG, and (4) sham NFT (control) groups. The groups were compared based on TBR and EEG alpha activity, as well as hyperactivity and impulsivity three times: pre-NFT, post-NFT and 6 months after the NFT (follow-up). Results: ADHD children were characterized with decreased individual alpha peak frequency, alpha bandwidth and alpha amplitude suppression magnitude, as well as with increased alpha1/alpha2 (a1/a2) ratio and scalp muscle tension when c (η2 ≥ 0.212). All contingent TBR NFT groups exhibited significant NFT-related decrease in TBR not evident in the control group. Moreover, we detected a higher overall alpha activity in the individualized but not in the standard NFT group. Mixed MANOVA considering between-subject factor GROUP and within-subject factor TIME showed that the individualized+EMGgroup exhibited the highest level of clinical improvement, which was associated with increase in the individual alpha activity at the 6 months follow-up when comparing with the other approaches (post hoc t = 3.456, p = 0.011). Conclusions: This study identified various (adjusted) alpha activity metrics as biomarkers with close relationship with ADHD symptoms, and demonstrated that TBR NFT individually adjusted for variances in alpha activity is more successful and clinically more efficient than standard, non-individualized NFT. Moreover, these training effects of the individualized TBR NFT lasted longer when combined with EMG.

AB - Background: Neurofeedback training (NFT) to decrease the theta/beta ratio (TBR) has been used for treating hyperactivity and impulsivity in attention deficit hyperactivity disorder (ADHD); however, often with low efficiency. Individual variance in EEG profile can confound NFT, because it may lead to influencing non-relevant activity, if ignored. More importantly, it may lead to influencing ADHD-related activities adversely, which may even result in worsening ADHD symptoms. Electromyogenic (EMG) signal resulted from forehead muscles can also explain the low efficiency of the NFT in ADHD from both practical and psychological point-of-view. The first aim of this study was to determine EEG and EMG biomarkers most related to the main ADHD characteristics, such as impulsivity and hyperactivity. The second aim was to confirm our hypothesis that the efficiency of the TBR NFT can be increased by individual adjustment of the frequency bands and simultaneous training on forehead muscle tension. Methods: We recruited 94 children diagnosed with ADHD (ADHD) and 23 healthy controls (HC). All participants were male and aged between six and nine. Impulsivity and attention were assessed with Go/no-Go task and delayed gratification task, respectively; and 19-channel EEG and forehead EMG were recorded. Then, the ADHD group was randomly subdivided into (1) standard, (2) individualized, (3) individualized+EMG, and (4) sham NFT (control) groups. The groups were compared based on TBR and EEG alpha activity, as well as hyperactivity and impulsivity three times: pre-NFT, post-NFT and 6 months after the NFT (follow-up). Results: ADHD children were characterized with decreased individual alpha peak frequency, alpha bandwidth and alpha amplitude suppression magnitude, as well as with increased alpha1/alpha2 (a1/a2) ratio and scalp muscle tension when c (η2 ≥ 0.212). All contingent TBR NFT groups exhibited significant NFT-related decrease in TBR not evident in the control group. Moreover, we detected a higher overall alpha activity in the individualized but not in the standard NFT group. Mixed MANOVA considering between-subject factor GROUP and within-subject factor TIME showed that the individualized+EMGgroup exhibited the highest level of clinical improvement, which was associated with increase in the individual alpha activity at the 6 months follow-up when comparing with the other approaches (post hoc t = 3.456, p = 0.011). Conclusions: This study identified various (adjusted) alpha activity metrics as biomarkers with close relationship with ADHD symptoms, and demonstrated that TBR NFT individually adjusted for variances in alpha activity is more successful and clinically more efficient than standard, non-individualized NFT. Moreover, these training effects of the individualized TBR NFT lasted longer when combined with EMG.

KW - ADHD

KW - EMG

KW - Individual alpha activity

KW - Neurofeedback training

KW - Theta/beta ratio

KW - EEG-ANALYSIS

KW - METAANALYSIS

KW - DEFICIT HYPERACTIVITY DISORDER

KW - INFORMATION

KW - PERFORMANCE

KW - BIOFEEDBACK

KW - ATTENTION-DEFICIT/HYPERACTIVITY DISORDER

KW - ELECTROENCEPHALOGRAM

KW - neurofeedback training

KW - theta/beta ratio

KW - individual alpha activity

KW - CORTICAL ACTIVITY

KW - OSCILLATIONS

UR - http://www.scopus.com/inward/record.url?scp=85041456541&partnerID=8YFLogxK

U2 - 10.3389/fnhum.2018.00003

DO - 10.3389/fnhum.2018.00003

M3 - Article

C2 - 29403368

AN - SCOPUS:85041456541

VL - 12

SP - 3

JO - Frontiers in Human Neuroscience

JF - Frontiers in Human Neuroscience

SN - 1662-5161

M1 - 3

ER -

ID: 18184934