Automatic processing of self-regulation of slow cortical potentials: evidence from brain-computer communication in paralysed patients

Neumann, Nicola; Hinterberger, Thilo; Kaiser, Jochen; Leins, Ulrike; Birbaumer, Niels; Kübler, Andrea

doi:10.1016/j.clinph.2003.10.030

Cited by 41 publications

(28 citation statements)

References 38 publications

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“…The stability of self-control of EEG-parameters in both groups is in line with Kotchoubey et al (1997) and Neumann et al (2004). who reported stability of EEG changes as a result of neurofeedback in epilepsy patients and in paralyzed patients.…”

Section: Eeg-datasupporting

confidence: 76%

“…who reported stability of EEG changes as a result of neurofeedback in epilepsy patients and in paralyzed patients. Findings from Neumann et al (2004) provide evidence that SCP self-regulation may automatize with long-term practice and can therefore be considered a skill. The study reported here indicates that the self-regulation-abilities of ADHD-children may automatize, too.…”

Section: Eeg-datamentioning

confidence: 96%

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Neurofeedback for Children with ADHD: A Comparison of SCP and Theta/Beta Protocols

Leins

Goth

Hinterberger

et al. 2007

Appl Psychophysiol Biofeedback

224

256

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Behavioral and cognitive improvements in children with ADHD have been consistently reported after neurofeedback-treatment. However, neurofeedback has not been commonly accepted as a treatment for ADHD. This study addresses previous methodological shortcomings while comparing a neurofeedback-training of Theta-Beta frequencies and training of slow cortical potentials (SCPs). The study aimed at answering (a) whether patients were able to demonstrate learning of cortical self-regulation, (b) if treatment leads to an improvement in cognition and behavior and (c) if the two experimental groups differ in cognitive and behavioral outcome variables. SCP participants were trained to produce positive and negative SCP-shifts while the Theta/Beta participants were trained to suppress Theta (4-8 Hz) while increasing Beta (12-20 Hz). Participants were blind to group assignment. Assessment included potentially confounding variables. Each group was comprised of 19 children with ADHD (aged 8-13 years). The treatment procedure consisted of three phases of 10 sessions each. Both groups were able to intentionally regulate cortical activity and improved in attention and IQ. Parents and teachers reported significant behavioral and cognitive improvements. Clinical effects for both groups remained stable six months after treatment. Groups did not differ in behavioural or cognitive outcome.

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Section: Eeg-datasupporting

confidence: 76%

Section: Eeg-datamentioning

confidence: 96%

Neurofeedback for Children with ADHD: A Comparison of SCP and Theta/Beta Protocols

Leins

Goth

Hinterberger

et al. 2007

Appl Psychophysiol Biofeedback

224

256

View full text Add to dashboard Cite

show abstract

“…Brain-computer interface (BCI) 253 is based on: (i) selfregulation of electroencephalographic activity registered on the scalp, 254 or an electrode implanted on the brain surface, within M1 255 or in the subcortical structures; 256 or (ii) self-regulation of the blood oxygen level dependent (BOLD) signal provided by a real-time fMRI. 257 The goal is to control the movement of a cursor on a computer screen, to select letters or icons, or to command a neuroprosthetic device.…”

Section: Brain-computer Interfacementioning

confidence: 99%

Brain plasticity: From pathophysiological mechanisms to therapeutic applications

Duffau

2006

Journal of Clinical Neuroscience

303

183

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“…For each study, attributes were interpreted using the definitions and notes provided in Table 1 and the appendix and the attribute values were recorded as a sentence, short paragraph, or as sub-classification values derived in a companion study. 36 In cases where attributes were not described in a paper, but were provided in a referenced work, the referenced paper was examined to determine appropriate attribute values. In cases where an attribute was poorly defined or implied, the tag "[implied]" was added to the attribute description.…”

Section: Methodsmentioning

confidence: 99%

A General Framework for Characterizing Studies of Brain Interface Technology

2005

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The development of brain interface (BI) technology continues to attract researchers with a wide range of backgrounds and expertise. Though the BI community is committed to accurate and objective evaluation of methods, systems, and technology, the very diversity of the methods and terminology used in the field hinders understanding and impairs technology cross-fertilization and cross-group validation of findings. Underlying this dilemma is a lack of common perspective and language. As seen in our previous works in this area, our approach to remedy this problem is to propose language in the form of taxonomy and functional models. Our intent is to document and validate our best thinking in this area and publish a perspective that will stimulate discussion. We encourage others to do the same with the belief that focused discussion on language issues will accelerate the inherently slow natural evolution of language selection and thus alleviate related problems. In this work, we propose a theoretical framework for describing BI-technology-related studies. The proposed framework is based on the theoretical concepts and terminology from classical science, assistive technology development, human-computer interaction, and previous BI-related works. Using a representative set of studies from the literature, the proposed BI study framework was shown to be complete and appropriate perspective for thoroughly characterizing a BI study. We have also demonstrated that this BI study framework is useful for (1) objectively reviewing existing BI study designs and results, (2) comparing designs and results of multiple BI studies, (3) designing new studies or objectively reporting BI study results, and (4) facilitating intra- and inter-group communication and the education of new researchers. As such, it forms a sound and appropriate basis for community discussion.

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Automatic processing of self-regulation of slow cortical potentials: evidence from brain-computer communication in paralysed patients

Cited by 41 publications

References 38 publications

Neurofeedback for Children with ADHD: A Comparison of SCP and Theta/Beta Protocols

Neurofeedback for Children with ADHD: A Comparison of SCP and Theta/Beta Protocols

Brain plasticity: From pathophysiological mechanisms to therapeutic applications

A General Framework for Characterizing Studies of Brain Interface Technology

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