Literature DB >> 24321361

The time-course of alpha neurofeedback training effects in healthy participants.

Marian K J Dekker1, Margriet M Sitskoorn2, Ad J M Denissen3, Geert J M van Boxtel4.   

Abstract

The time-course of alpha neurofeedback training (NFT) was investigated in 18 healthy participants who received 15 sessions of training (eyes open), each consisting of three training periods (data are from Van Boxtel et al., 2012). Here we report on the within- and between-session training effects using multilevel analyses. Over sessions, total alpha power (8-12 Hz) increased up to the tenth session, after which low alpha power (8-10 Hz) remained at the same level, while high alpha power (10-12 Hz) decreased. Within each training session, total alpha power increased from the first to the second period, and then decreased again. This decrease, however, was caused by a decrease in high alpha power only; low alpha power remained up to the end of training. These effects are discussed in terms of attention and motivation, and suggest different trainability for low and high alpha power.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Healthy participants; Lower alpha activity; Neurofeedback training (NFT); Upper alpha activity

Mesh:

Year:  2013        PMID: 24321361     DOI: 10.1016/j.biopsycho.2013.11.014

Source DB:  PubMed          Journal:  Biol Psychol        ISSN: 0301-0511            Impact factor:   3.251


  14 in total

1.  The validity of individual frontal alpha asymmetry EEG neurofeedback.

Authors:  C W E M Quaedflieg; F T Y Smulders; T Meyer; F Peeters; H Merckelbach; T Smeets
Journal:  Soc Cogn Affect Neurosci       Date:  2015-07-10       Impact factor: 3.436

2.  Equivalent current dipole sources of neurofeedback training-induced alpha activity through temporal/spectral analytic techniques.

Authors:  Jen-Jui Hsueh; Yan-Zhou Chen; Jia-Jin Chen; Fu-Zen Shaw
Journal:  PLoS One       Date:  2022-02-25       Impact factor: 3.240

Review 3.  Effects of Transcranial Alternating Current Stimulation and Neurofeedback on Alpha (EEG) Dynamics: A Review.

Authors:  Mária Orendáčová; Eugen Kvašňák
Journal:  Front Hum Neurosci       Date:  2021-07-08       Impact factor: 3.169

Review 4.  Are treatment effects of neurofeedback training in children with ADHD related to the successful regulation of brain activity? A review on the learning of regulation of brain activity and a contribution to the discussion on specificity.

Authors:  Agnieszka Zuberer; Daniel Brandeis; Renate Drechsler
Journal:  Front Hum Neurosci       Date:  2015-03-27       Impact factor: 3.169

Review 5.  Assessing the Effectiveness of Neurofeedback Training in the Context of Clinical and Social Neuroscience.

Authors:  Franklin Orndorff-Plunkett; Fiza Singh; Oriana R Aragón; Jaime A Pineda
Journal:  Brain Sci       Date:  2017-08-07

6.  A Randomized Trial of Comparing the Efficacy of Two Neurofeedback Protocols for Treatment of Clinical and Cognitive Symptoms of ADHD: Theta Suppression/Beta Enhancement and Theta Suppression/Alpha Enhancement.

Authors:  Arash Mohagheghi; Shahrokh Amiri; Nafiseh Moghaddasi Bonab; Gholamreza Chalabianloo; Seyed Gholamreza Noorazar; Seyed Mahmoud Tabatabaei; Sara Farhang
Journal:  Biomed Res Int       Date:  2017-02-09       Impact factor: 3.411

7.  Neurofunctional and behavioural measures associated with fMRI-neurofeedback learning in adolescents with Attention-Deficit/Hyperactivity Disorder.

Authors:  Sheut-Ling Lam; Marion Criaud; Analucia Alegria; Gareth J Barker; Vincent Giampietro; Katya Rubia
Journal:  Neuroimage Clin       Date:  2020-05-26       Impact factor: 4.881

8.  Resting and Initial Beta Amplitudes Predict Learning Ability in Beta/Theta Ratio Neurofeedback Training in Healthy Young Adults.

Authors:  Wenya Nan; Feng Wan; Mang I Vai; Agostinho C Da Rosa
Journal:  Front Hum Neurosci       Date:  2015-12-21       Impact factor: 3.169

9.  Resting alpha activity predicts learning ability in alpha neurofeedback.

Authors:  Feng Wan; Wenya Nan; Mang I Vai; Agostinho Rosa
Journal:  Front Hum Neurosci       Date:  2014-07-14       Impact factor: 3.169

Review 10.  Technology-Based Innovations to Foster Personalized Healthy Lifestyles and Well-Being: A Targeted Review.

Authors:  Emmanouil G Spanakis; Silvina Santana; Manolis Tsiknakis; Kostas Marias; Vangelis Sakkalis; António Teixeira; Joris H Janssen; Henri de Jong; Chariklia Tziraki
Journal:  J Med Internet Res       Date:  2016-06-24       Impact factor: 5.428

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.