Individual Alpha Peak Frequency, an Important Biomarker for Live Z-Score Training Neurofeedback in Adolescents with Learning Disabilities

Learning disabilities (LDs) have an estimated prevalence between 5% and 9% in the pediatric population and are associated with difficulties in reading, arithmetic, and writing. Previous electroencephalography (EEG) research has reported a lag in alpha-band development in specific LD phenotypes, whic...

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Main Authors: Rubén Pérez-Elvira, Javier Oltra-Cucarella, José Antonio Carrobles, Minodora Teodoru, Ciprian Bacila, Bogdan Neamtu
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Brain Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3425/11/2/167
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spelling doaj-7e52ef9c425a45bca23c81b4b44898d12021-01-29T00:03:08ZengMDPI AGBrain Sciences2076-34252021-01-011116716710.3390/brainsci11020167Individual Alpha Peak Frequency, an Important Biomarker for Live Z-Score Training Neurofeedback in Adolescents with Learning DisabilitiesRubén Pérez-Elvira0Javier Oltra-Cucarella1José Antonio Carrobles2Minodora Teodoru3Ciprian Bacila4Bogdan Neamtu5Neuropsychophysiology Lab., NEPSA Rehabilitación Neurológica, 37003 Salamanca, SpainDepartment of Health Psychology, Universidad Miguel Hernández de Elche, 03202 Elche, SpainBiological and Health Psychology Department, Universidad Autónoma de Madrid, 28049 Madrid, SpainFaculty of Medicine, Lucian Blaga University from Sibiu, 550169 Sibiu, RomaniaFaculty of Medicine, Lucian Blaga University from Sibiu, 550169 Sibiu, RomaniaFaculty of Medicine, Lucian Blaga University from Sibiu, 550169 Sibiu, RomaniaLearning disabilities (LDs) have an estimated prevalence between 5% and 9% in the pediatric population and are associated with difficulties in reading, arithmetic, and writing. Previous electroencephalography (EEG) research has reported a lag in alpha-band development in specific LD phenotypes, which seems to offer a possible explanation for differences in EEG maturation. In this study, 40 adolescents aged 10–15 years with LDs underwent 10 sessions of Live Z-Score Training Neurofeedback (LZT-NF) Training to improve their cognition and behavior. Based on the individual alpha peak frequency (i-APF) values from the spectrogram, a group with normal i-APF (ni-APF) and a group with low i-APF (li-APF) were compared in a pre-and-post-LZT-NF intervention. There were no statistical differences in age, gender, or the distribution of LDs between the groups. The li-APF group showed a higher theta absolute power in P4 (<i>p</i> = 0.016) at baseline and higher Hi-Beta absolute power in F3 (<i>p</i> = 0.007) post-treatment compared with the ni-APF group. In both groups, extreme waves (absolute Z-score of ≥1.5) were more likely to move toward the normative values, with better results in the ni-APF group. Conversely, the waves within the normal range at baseline were more likely to move out of the range after treatment in the li-APF group. Our results provide evidence of a viable biomarker for identifying optimal responders for the LZT-NF technique based on the i-APF metric reflecting the patient’s neurophysiological individuality.https://www.mdpi.com/2076-3425/11/2/167neurofeedbackZ-score traininglearning disabilitiesendophenotypesalpha peak frequencyQEEG
collection DOAJ
language English
format Article
sources DOAJ
author Rubén Pérez-Elvira
Javier Oltra-Cucarella
José Antonio Carrobles
Minodora Teodoru
Ciprian Bacila
Bogdan Neamtu
spellingShingle Rubén Pérez-Elvira
Javier Oltra-Cucarella
José Antonio Carrobles
Minodora Teodoru
Ciprian Bacila
Bogdan Neamtu
Individual Alpha Peak Frequency, an Important Biomarker for Live Z-Score Training Neurofeedback in Adolescents with Learning Disabilities
Brain Sciences
neurofeedback
Z-score training
learning disabilities
endophenotypes
alpha peak frequency
QEEG
author_facet Rubén Pérez-Elvira
Javier Oltra-Cucarella
José Antonio Carrobles
Minodora Teodoru
Ciprian Bacila
Bogdan Neamtu
author_sort Rubén Pérez-Elvira
title Individual Alpha Peak Frequency, an Important Biomarker for Live Z-Score Training Neurofeedback in Adolescents with Learning Disabilities
title_short Individual Alpha Peak Frequency, an Important Biomarker for Live Z-Score Training Neurofeedback in Adolescents with Learning Disabilities
title_full Individual Alpha Peak Frequency, an Important Biomarker for Live Z-Score Training Neurofeedback in Adolescents with Learning Disabilities
title_fullStr Individual Alpha Peak Frequency, an Important Biomarker for Live Z-Score Training Neurofeedback in Adolescents with Learning Disabilities
title_full_unstemmed Individual Alpha Peak Frequency, an Important Biomarker for Live Z-Score Training Neurofeedback in Adolescents with Learning Disabilities
title_sort individual alpha peak frequency, an important biomarker for live z-score training neurofeedback in adolescents with learning disabilities
publisher MDPI AG
series Brain Sciences
issn 2076-3425
publishDate 2021-01-01
description Learning disabilities (LDs) have an estimated prevalence between 5% and 9% in the pediatric population and are associated with difficulties in reading, arithmetic, and writing. Previous electroencephalography (EEG) research has reported a lag in alpha-band development in specific LD phenotypes, which seems to offer a possible explanation for differences in EEG maturation. In this study, 40 adolescents aged 10–15 years with LDs underwent 10 sessions of Live Z-Score Training Neurofeedback (LZT-NF) Training to improve their cognition and behavior. Based on the individual alpha peak frequency (i-APF) values from the spectrogram, a group with normal i-APF (ni-APF) and a group with low i-APF (li-APF) were compared in a pre-and-post-LZT-NF intervention. There were no statistical differences in age, gender, or the distribution of LDs between the groups. The li-APF group showed a higher theta absolute power in P4 (<i>p</i> = 0.016) at baseline and higher Hi-Beta absolute power in F3 (<i>p</i> = 0.007) post-treatment compared with the ni-APF group. In both groups, extreme waves (absolute Z-score of ≥1.5) were more likely to move toward the normative values, with better results in the ni-APF group. Conversely, the waves within the normal range at baseline were more likely to move out of the range after treatment in the li-APF group. Our results provide evidence of a viable biomarker for identifying optimal responders for the LZT-NF technique based on the i-APF metric reflecting the patient’s neurophysiological individuality.
topic neurofeedback
Z-score training
learning disabilities
endophenotypes
alpha peak frequency
QEEG
url https://www.mdpi.com/2076-3425/11/2/167
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