Voluntary modification of musical performance by neurofeedback training

Annals of General Psychiatry (Impact Factor: 1.4). 01/2008; DOI: 10.1186/1744-859X-7-S1-S100
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    ABSTRACT: The hypothesis was tested of whether neurofeedback training applied in order to increase or decrease power of individual EEG frequency ranges is more efficient than neurofeedback training of standard EEG frequency ranges. The sessions of decreasing the theta/beta ratio and reinforcing alpha neurofeedback training were carried out on two outpatients with attention deficit disorder (a schoolboy) and functional pain contraction (a professional musician). The neurofeedback utilizing standard EEG frequency ranges (theta 4-8, alpha 8-12, beta 13-18) was inefficient and even resulted in aggravation of symptoms in both cases. The individualized neurofeedback that utilized individual frequency ranges resulted in substantial clinical improvement.
    Journal of Neurotherapy 07/2010; 14(3-3):244-253. DOI:10.1080/10874208.2010.501517
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    ABSTRACT: The main aim of this contribution was to demonstrate a way of objectifying various aspects of musical thinking by analysing the continuously running EEG. In this respect, the determination of coherence between the brain‐electric activities at all possible recording sites (i.e., 171, for the 19 electrodes we use), together with power at these sites proved to be a useful method. For data reduction, only statistically significant differences between resting periods (usually 1 min) and periods of musical thinking were considered. This procedure was performed for each of six frequency bands between 1 and 31.5 Hz. The results of both group and individual experiments are reported.In group studies, listening to music involved mainly the temporal regions of both hemispheres, yet in different frequency ranges. The results proved to be specific and clearly differed from those obtained during tasks involving mental arithmetic, silent reading, listening to text and others. Moreover, musically trained subjects produced more increases of coherence than the untrained.While imagining music, usually more coherence increases (i.e., higher cortico‐cortical co‐operation) were found. The same is true of composing, which was found to be different from both previously mentioned manners of musical thinking and in which usually the highest degrees of cortico‐cortical co‐operation within and between the hemispheres were found. While composing, the uppermost beta band was the most involved. One sample illustrates the manner of representing the results.It is hypothesized that coherence reflects—to some extent—’differential attention’, aconditio sine qua non for conscious experience.
    High Ability Studies 06/1998; 9(1):101-113. DOI:10.1080/1359813980090107 · 0.42 Impact Factor
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    ABSTRACT: Acoustic stimuli are processed throughout the auditory projection pathway, including the neocortex, by neurons that are aggregated into 'tonotopic' maps according to their specific frequency tunings. Research on animals has shown that tonotopic representations are not statically fixed in the adult organism but can reorganize after damage to the cochlea or after training the intact subject to discriminate between auditory stimuli. Here we used functional magnetic source imaging (single dipole model) to measure cortical representations in highly skilled musicians. Dipole moments for piano tones, but not for pure tones of similar fundamental frequency (matched in loudness), were found to be enlarged by about 25% in musicians compared with control subjects who had never played an instrument. Enlargement was correlated with the age at which musicians began to practise and did not differ between musicians with absolute or relative pitch. These results, when interpreted with evidence for modified somatosensory representations of the fingering digits in skilled violinists, suggest that use-dependent functional reorganization extends across the sensory cortices to reflect the pattern of sensory input processed by the subject during development of musical skill.
    Nature 04/1998; 392(6678):811-4. DOI:10.1038/33918 · 41.46 Impact Factor


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