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      Modulatory effects of dynamic fMRI-based neurofeedback on emotion regulation networks in adolescent females

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          Abstract

          Research has shown that difficulties with emotion regulation abilities in childhood and adolescence increase the risk for developing symptoms of mental disorders, e.g anxiety. We investigated whether functional magnetic resonance imaging (fMRI)-based neurofeedback (NF) can modulate brain networks supporting emotion regulation abilities in adolescent females.

          We performed three experiments (Experiment 1: N ​= ​18; Experiment 2: N ​= ​30; Experiment 3: N ​= ​20). We first compared different NF implementations regarding their effectiveness of modulating prefrontal cortex (PFC)-amygdala functional connectivity (fc). Further we assessed the effects of fc-NF on neural measures, emotional/metacognitive measures and their associations. Finally, we probed the mechanism underlying fc-NF by examining concentrations of inhibitory and excitatory neurotransmitters.

          Results showed that NF implementations differentially modulate PFC-amygdala fc. Using the most effective NF implementation we observed important relationships between neural and emotional/metacognitive measures, such as practice-related change in fc was related with change in thought control ability. Further, we found that the relationship between state anxiety prior to the MRI session and the effect of fc-NF was moderated by GABA concentrations in the PFC and anterior cingulate cortex.

          To conclude, we were able to show that fc-NF can be used in adolescent females to shape neural and emotional/metacognitive measures underlying emotion regulation. We further show that neurotransmitter concentrations moderate fc–NF–effects.

          Highlights

          • Neurofeedback implementations differentially modulate PFC-amygdala connectivity.

          • Functional connectivity neurofeedback affect measures of emotion regulation.

          • Neurotransmitter concentrations moderate neurofeedback effects.

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          Most cited references75

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          A Test of Missing Completely at Random for Multivariate Data with Missing Values

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            The Power of Feedback

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              A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data.

              Correlating the activation foci identified in functional imaging studies of the human brain with structural (e.g., cytoarchitectonic) information on the activated areas is a major methodological challenge for neuroscience research. We here present a new approach to make use of three-dimensional probabilistic cytoarchitectonic maps, as obtained from the analysis of human post-mortem brains, for correlating microscopical, anatomical and functional imaging data of the cerebral cortex. We introduce a new, MATLAB based toolbox for the SPM2 software package which enables the integration of probabilistic cytoarchitectonic maps and results of functional imaging studies. The toolbox includes the functionality for the construction of summary maps combining probability of several cortical areas by finding the most probable assignment of each voxel to one of these areas. Its main feature is to provide several measures defining the degree of correspondence between architectonic areas and functional foci. The software, together with the presently available probability maps, is available as open source software to the neuroimaging community. This new toolbox provides an easy-to-use tool for the integrated analysis of functional and anatomical data in a common reference space.
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                Author and article information

                Contributors
                Journal
                Neuroimage
                Neuroimage
                Neuroimage
                Academic Press
                1053-8119
                1095-9572
                15 October 2020
                15 October 2020
                : 220
                : 117053
                Affiliations
                [a ]Department of Experimental Psychology, University of Oxford, Oxford, OX1 3UD, UK
                [b ]Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
                [c ]School of Psychology, University of Surrey, Guildford, GU2 7XH, UK
                [d ]Department of Cognitive Neuroscience, Maastricht University, Maastricht, 6211 LK, the Netherlands
                [e ]Department of Research and Development, Brain Innovation, Maastricht, 6229 EV, the Netherlands
                [f ]Psychology Department, Institute of Psychiatry, King’s College London, London, SE5 8AF, UK
                Author notes
                []Corresponding author. Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK. catharina.zich@ 123456uni-oldenburg.de
                Article
                S1053-8119(20)30539-5 117053
                10.1016/j.neuroimage.2020.117053
                7573536
                32574803
                ec43ed35-94c5-4363-b7d7-d6e5fa1b8dfd
                © 2020 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 6 January 2020
                : 8 June 2020
                : 10 June 2020
                Categories
                Article

                Neurosciences
                adolescence,brain-computer-interface,connectivity,emotion regulation,magnetic resonance spectroscopy,neurofeedback

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