Key result
A single session of personalized mindfulness-based fMRI neurofeedback successfully engaged the target brain state (CEN > DMN) and significantly reduced within-DMN connectivity in adolescents with a history of affective disorders.
Why the study?
Gold-standard treatments for major depressive disorder are effective for only ~50% of youth, highlighting a critical need for novel interventions targeting neural mechanisms that potentiate depressive symptoms.
Does mindfulness-based fMRI neurofeedback reduce default mode network connectivity and improve state mindfulness in adolescents with a history of affective disorders?
Does mindfulness-based fMRI neurofeedback reduce default mode network connectivity and improve state mindfulness in adolescents with a history of affective disorders?
Mindfulness-based fMRI neurofeedback successfully reduced default mode network connectivity and increased state mindfulness in a small proof-of-concept pilot study of adolescents with affective disorders.
This is the authors' abstract. We don't add key points for this paper.
Adolescents experience alarmingly high rates of major depressive disorder (MDD), however, gold-standard treatments are only effective for ~50% of youth. Accordingly, there is a critical need to develop novel interventions, particularly ones that target neural mechanisms believed to potentiate depressive symptoms. Directly addressing this gap, we developed a mindfulness-based fMRI neurofeedback (mbNF) for adolescents that targets default mode network (DMN) hyperconnectivity, which has been implicated in the onset and maintenance of MDD. In this proof-of-concept study, adolescents ( n = 9) with a lifetime history of depression and/or anxiety were administered clinical interviews and self-report questionnaires, and then, each participant’s DMN and central executive network (CEN) were personalized using a resting state fMRI localizer. After the localizer scan, adolescents completed a brief mindfulness training followed by a mbNF session in the scanner wherein they were instructed to volitionally reduce DMN relative to CEN activation by practicing mindfulness meditation. Several promising findings emerged. First, mbNF successfully engaged the target brain state during neurofeedback; participants spent more time in the target state with DMN activation lower than CEN activation. Second, in each of the nine adolescents, mbNF led to significantly reduced within-DMN connectivity, which correlated with post-mbNF increases in state mindfulness. Last, a reduction of within-DMN connectivity mediated the association between better mbNF performance and increased state mindfulness. These findings demonstrate that personalized mbNF can effectively and non-invasively modulate the intrinsic networks known to be associated with the emergence and persistence of depressive symptoms during adolescence.
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Supports mbNF for DMN modulation in adolescents with affective disorders; leaves open clinical efficacy pending controlled trials.
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Zhang et al. (2022) studied Affective disorder history (depression and/or anxiety) (n=9). Mindfulness-based fMRI neurofeedback (mbNF) was evaluated on Time spent in target brain state (CEN > DMN activation) (p=0.038). A single session of personalized mindfulness-based fMRI neurofeedback successfully engaged the target brain state (CEN > DMN) and significantly reduced within-DMN connectivity in adolescents with a history of affective disorders.
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