Reducing default mode network connectivity with mindfulness-based fMRI neurofeedback: a pilot study among adolescents with affective disorder history.

Reducing default mode network connectivity with mindfulness-based fMRI neurofeedback: a pilot study among adolescents with affective disorder history.
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DOI:
10.1038/s41380-023-02032-z
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发表时间:
2023-06
影响因子:
11
通讯作者:
Whitfield-Gabrieli, Susan
Whitfield-Gabrieli, Susan
中科院分区:
医学1区
文献类型:
--
作者:
Zhang, Jiahe;Raya, Jovicarole;Morfini, Francesca;Urban, Zoi;Pagliaccio, David;Yendiki, Anastasia;Auerbach, Randy P.;Bauer, Clemens C. C.;Whitfield-Gabrieli, Susan

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青少年患重度抑郁障碍(MDD)的比例高得惊人,然而,金标准治疗方法仅对约50% 的青少年有效。因此,迫切需要开发新的干预措施,尤其是针对那些被认为会加剧抑郁症状的神经机制的干预措施。为了直接填补这一空白,我们为青少年开发了基于正念的功能磁共振成像神经反馈(mbNF),旨在降低默认模式网络(DMN)的过度连接,而这种过度连接与重度抑郁障碍的发作和持续存在有关。在这项概念验证研究中,对有抑郁和 / 或焦虑终生病史的青少年(n = 9)进行了临床访谈和自我报告问卷调查,并利用静息态功能磁共振成像定位器对每位参与者的默认模式网络和中央执行网络(CEN)进行个性化分析。定位器扫描后,青少年完成了简短的正念训练,随后在扫描仪中进行mbNF环节,在此环节中,他们被指导通过练习正念冥想,有意识地相对于中央执行网络激活来降低默认模式网络的激活。研究得出了一些有前景的发现。首先,mbNF在神经反馈过程中成功激活了目标脑状态;参与者处于默认模式网络激活低于中央执行网络激活这一目标状态的时间更长。其次,在这9名青少年中,mbNF均显著降低了默认模式网络内部的连接性,这与mbNF训练后状态正念的提升相关。最后,默认模式网络内部连接性的降低介导了更好的mbNF表现与状态正念提升之间的关联。这些发现表明,个性化的mbNF能够有效且无创地调节与青少年抑郁症状出现和持续相关的内在网络。
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 mindfulness-based fMRI neurofeedback (mbNF) for adolescents that aims to reduce 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 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 associated with the emergence and persistence of depressive symptoms during adolescence.
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