Low motivational incongruence predicts successful EEG resting-state neurofeedback performance in healthy adults

Diaz Hernandez, Laura; Rieger, Kathryn; König, Thomas (2018). Low motivational incongruence predicts successful EEG resting-state neurofeedback performance in healthy adults. Neuroscience, 378, pp. 146-154. Elsevier 10.1016/j.neuroscience.2016.12.005

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Neurofeedback is becoming increasingly sophisticated and widespread, although predictors of successful performance still remain scarce. Here, we explored the possible predictive value of psychological factors and report the results obtained from a neurofeedback training study designed to enhance the self-regulation of spontaneous EEG microstates of a particular type (microstate class D). Specifically, we were interested in life satisfaction (including motivational incongruence), body awareness, personality and trait anxiety. These variables were quantified with questionnaires before neurofeedback. Individual neurofeedback success was established by means of linear mixed models that accounted for the amount of observed target state (microstate class D contribution) as a function of time and training condition: baseline, training and transfer (results shown in Diaz Hernandez et al.,2016). We found a series of significant negative correlations between motivational incongruence and mean percentage increase of microstate D during the condition transfer, across-sessions (36% of common variance) and mean percentage increase of microstate D during the condition training, within-session (42% of common variance). There were no significant correlations related to other questionnaires, besides a trend in a subscale of the Life Satisfaction questionnaire. We conclude that motivational incongruence may be a potential predictor for neurofeedback success, at least in the current protocol. The finding may be explained by the interfering effect on neurofeedback performance produced by incompatible simultaneously active psychological processes, which are indirectly measured by the Motivational Incongruence questionnaire.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > University Psychiatric Services > University Hospital of Psychiatry and Psychotherapy > Translational Research Center

Graduate School:

Graduate School for Health Sciences (GHS)

UniBE Contributor:

Diaz, Laura; Rieger, Kathryn and König, Thomas

Subjects:

600 Technology > 610 Medicine & health

ISSN:

0306-4522

Publisher:

Elsevier

Funders:

[4] Swiss National Science Foundation
[UNSPECIFIED] Center for Cognition, Learning and Memory

Language:

English

Submitter:

Laura Diaz

Date Deposited:

09 Feb 2017 10:47

Last Modified:

09 May 2018 01:30

Publisher DOI:

10.1016/j.neuroscience.2016.12.005

PubMed ID:

28007612

Uncontrolled Keywords:

EEG; microstates; motivational incongruence; neurofeedback success; prediction; resting state

BORIS DOI:

10.7892/boris.93068

URI:

https://boris.unibe.ch/id/eprint/93068

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