Literature DB >> 33525458

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

Rubén Pérez-Elvira1, Javier Oltra-Cucarella2, José Antonio Carrobles3, Minodora Teodoru4, Ciprian Bacila4,5, Bogdan Neamtu4,6,7.   

Abstract

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 (p = 0.016) at baseline and higher Hi-Beta absolute power in F3 (p = 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.

Entities:  

Keywords:  QEEG; Z-score training; alpha peak frequency; endophenotypes; learning disabilities; neurofeedback

Year:  2021        PMID: 33525458      PMCID: PMC7911657          DOI: 10.3390/brainsci11020167

Source DB:  PubMed          Journal:  Brain Sci        ISSN: 2076-3425


  46 in total

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Journal:  Appl Psychophysiol Biofeedback       Date:  2016-03

7.  Self-report during feedback regulation of slow cortical potentials.

Authors:  L E Roberts; N Birbaumer; B Rockstroh; W Lutzenberger; T Elbert
Journal:  Psychophysiology       Date:  1989-07       Impact factor: 4.016

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9.  Neurometric evaluation of cognitive dysfunctions and neurological disorders in children.

Authors:  E R John; L Prichep; H Ahn; P Easton; J Fridman; H Kaye
Journal:  Prog Neurobiol       Date:  1983       Impact factor: 11.685

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Journal:  Clin Neurophysiol       Date:  2010-09-16       Impact factor: 3.708

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  1 in total

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