Cited by 75Autism Spectrum Disorder ResearchEEG and Brain-Computer InterfacesAttention Deficit Hyperactivity Disorder

Autism Spectrum Disorders

M. K. C. Nair·2011·Oxford University Press eBooks

Abstract

In the evaluation of any treatment, it is extremely important to gather information about the long-lasting effects of treatment by collecting follow-up data. Follow-up research aims tomeasure effects of treatment over time to determine if the treatment has resulted in a structural improvement or if clients relapsed to pre-assessment levels. The importance of follow-up data for the evaluation of neurofeedback has been noted repeatedly. Heinrich, Gevensleben, and Strehl (2007), for example, suggest investigation of clinical outcomes, spectral EEG analysis, and neuromodulatory skills using at least a 6-month follow-up interval. Despite many recommendations, the use of follow-up in evaluating neurofeedback as a treatment for several disorders has been used only in a few studies. In

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Crossref · 10.1093/med/9780195371826.001.0001

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Authors
Nair, M. K. C.
Corresponding author
M. K. C. Nair
Venue
Oxford University Press eBooks
Published
2011-05
Volume
41
Issue
6
Pages
541-3
OpenAlex
W4252884659
Cited by
75
References
0
Citations by year
2026: 1 · 2025: 1 · 2024: 9 · 2023: 8 · 2022: 6 · 2021: 4 · 2020: 9 · 2019: 3 · 2018: 2 · 2017: 9 · 2016: 3 · 2015: 8 · 2014: 5 · 2013: 3 · 2012: 2
FWCI
1.33
Type
book
Language
en
Open access
closed
Locations
  • Oxford University Press eBooks (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
Keywords
autism spectrum disorder, neurofeedback, follow-up data, treatment evaluation, long-term treatment outcomes, relapse, neuromodulation, EEG
MeSH terms
Autistic Disorder, Humans

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