Mindfulness-based real-time fMRI neurofeedback: a randomized controlled trial to optimize dosing for depressed adolescents.

BACKGROUND: Adolescence is characterized by a heightened vulnerability for Major Depressive Disorder (MDD) onset, and currently, treatments are only effective for roughly half of adolescents with MDD. Accordingly, novel interventions are urgently needed. This study aims to establish mindfulness-based real-time fMRI neurofeedback (mbNF) as a non-invasive approach to downregulate the default mode network (DMN) in order to decrease ruminatory processes and depressive symptoms. METHODS: Adolescents (N = 90) with a current diagnosis of MDD ages 13-18-years-old will be randomized in a parallel group, two-arm, superiority trial to receive either 15 or 30 min of mbNF with a 1:1 allocation ratio. Real-time neurofeedback based on activation of the frontoparietal network (FPN) relative to the DMN will be displayed to participants via the movement of a ball on a computer screen while participants practice mindfulness in the scanner. We hypothesize that within-DMN (medial prefrontal cortex [mPFC] with posterior cingulate cortex [PCC]) functional connectivity will be reduced following mbNF (Aim 1: Target Engagement). Additionally, we hypothesize that participants in the 30-min mbNF condition will show greater reductions in within-DMN functional connectivity (Aim 2: Dosing Impact on Target Engagement). Aim 1 will analyze data from all participants as a single-group, and Aim 2 will leverage the randomized assignment to analyze data as a parallel-group trial. Secondary analyses will probe changes in depressive symptoms and rumination. DISCUSSION: Results of this study will determine whether mbNF reduces functional connectivity within the DMN among adolescents with MDD, and critically, will identify the optimal dosing with respect to DMN modulation as well as reduction in depressive symptoms and rumination. TRIAL REGISTRATION: This study has been registered with clinicaltrials.gov, most recently updated on July 6, 2023 (trial identifier: NCT05617495).

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

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.

Neurophysiological predictors of gaze-contingent music reward therapy among adults with social anxiety disorder.

Social anxiety disorder (SAD) is associated with fear of negative evaluation and heightened performance monitoring. The best-established treatments help only a subset of patients, and there are no well-established predictors of treatment response. The current study investigated whether individual differences in processing errors might predict response to gaze-contingent music reward therapy (GC-MRT). At baseline, healthy control subjects (HC; n = 20) and adults with SAD (n = 29), ages 19-43 years, completed the Flanker Task while electroencephalography (EEG) data were recorded. SAD participants then received up to 12 sessions over 8 weeks of GC-MRT, designed to train participants' attention away from threatening and toward neutral faces. Clinical assessments were completed 9- (post-treatment) and 20-weeks (follow-up) after initiating the treatment. At baseline, compared to HC, SAD performed the task more accurately and exhibited increased error-related negativity (ERN) and delta power to error commission. After controlling for age and baseline symptoms, more negative ERN and increased frontal midline theta (FMT) predicted reduced self-reported social anxiety symptoms at post-treatment, and FMT also predicted clinician-rated and self-reported symptom reduction at the follow-up assessment. Hypervigilance to error is characteristic of SAD and warrants further research as a predictor of treatment response for GC-MRT.

Inequality and mental healthcare utilisation among first-year university students in South Africa.

BACKGROUND: Addressing inequalities in mental healthcare utilisation among university students is important for socio-political transformation, particularly in countries with a history of educational exclusion. METHODS: As part of the WHO World Mental Health International College Student Initiative, we investigated inequalities in mental healthcare utilisation among first-year students at two historically "White" universities in South Africa. Data were collected via a web-based survey from first-year university students (n = 1402) to assess 12-month mental healthcare utilisation, common mental disorders, and suicidality. Multivariate logistic regression models were used to estimate associations between sociodemographic variables and mental healthcare utilisation, controlling for common mental disorders and suicidality. RESULTS: A total of 18.1% of students utilised mental healthcare in the past 12 months, with only 28.9% of students with mental disorders receiving treatment (ranging from 28.1% for ADHD to 64.3% for bipolar spectrum disorder). Of those receiving treatment, 52.0% used psychotropic medication, 47.3% received psychotherapy, and 5.4% consulted a traditional healer. Treatment rates for suicidal ideation, plan and attempt were 25.4%, 41.6% and 52.9%, respectively. In multivariate regression models that control for the main effects of mental health variables and all possible joint effects of sociodemographic variables, the likelihood of treatment was lower among males (aOR = 0.57) and Black students (aOR = 0.52). An interaction was observed between sexual orientation and first generation status; among second-generation students, the odds of treatment were higher for students reporting an atypical sexual orientation (aOR = 1.55), while among students with atypical sexual orientations, the likelihood of mental healthcare utilisation was lower for first-generation students (aOR = 0.29). Odds of treatment were significantly elevated among students with major depressive disorder (aOR = 1.88), generalised anxiety disorder (aOR = 2.34), bipolar spectrum disorder (aOR = 4.07), drug use disorder (aOR = 3.45), suicidal ideation (without plan or attempt) (aOR = 2.00), suicide plan (without attempt) (aOR = 3.64) and suicide attempt (aOR = 4.57). Likelihood of treatment increased with level of suicidality, but not number of mental disorders. CONCLUSION: We found very low mental healthcare treatment utilisation among first-year university students in South Africa, with enduring disparities among historically marginalised groups. Campus-based interventions are needed to promote mental healthcare utilisation by first-year students in South Africa, especially among male and Black students and first-generation students with atypical sexual orientations.

Speech illusions and working memory performance in non-clinical psychosis.

Psychotic disorders are characterized by auditory verbal hallucinations (AVHs), and research has shown that AVHs are linked to deficits in working memory. Our understanding of AVHs across the psychosis continuum is limited. To date, little research has tested whether hallucination proneness (HP) is linked with abnormalities on experimental multispeaker babble tasks. Few investigations have been conducted to determine how task performance might be linked to cognitive functioning. The objective of the current study is to better understand this empirical gap. A total of 70 adults (30 healthy controls and 40 HP individuals) were administered an experimental task in which they listened to multispeaker babble and were instructed to report any words or chains of consecutive words (CCWs) perceived. Participants also were administered nonverbal and verbal working memory tasks. Findings revealed that relative to the control group, the HP individuals perceived more words and longer CCWs during the task. While there were no significant differences in working memory tasks between the HP and control groups, longer CCW's were associated with decreased verbal working memory scores in the HP group. AVH proneness may occur across a continuum of psychosis and may be linked with other theoretically relevant cognitive vulnerability factors.

Incorporating spiritual beliefs into a cognitive model of worry.

Cognitive theory and research have traditionally highlighted the relevance of the core beliefs about oneself, the world, and the future to human emotions. For some individuals, however, core beliefs may also explicitly involve spiritual themes. In this article, we propose a cognitive model of worry, in which positive/negative beliefs about the Divine affect symptoms through the mechanism of intolerance of uncertainty. Using mediation analyses, we found support for our model across two studies, in particular, with regards to negative spiritual beliefs. These findings highlight the importance of assessing for spiritual alongside secular convictions when creating cognitive-behavioral case formulations in the treatment of religious individuals.