Increased Effect Sizes in a Mindfulness- and Yoga-Based Intervention After Adjusting for Response Shift with Then-Test.

Objectives: Response shift refers to variations in self-reported evaluations at different times from changes in one's internal standards, values, and meanings. The current study explored the utility of the then-test to detect a potential mindfulness-based response shift occurrence during a mindfulness- and yoga-based intervention for student musicians, and to ascertain to what extent effect sizes could differ when adjusting for it. Method: Participants (n = 31) completed the Five Facet Mindfulness Questionnaire (FFMQ) halfway through the intervention (Time 1-FFMQ), post-intervention (Time 2-FFMQ), and immediately after Time 2-FFMQ with a then-test approach that asked participants to rate the FFMQ based on retrospective reflections on their mindfulness at Time 1 (then-test-FFMQ). Paired t-tests and Hedges' g effect sizes were computed to estimate three potential effects: response shift (Time 1-FFMQ minus then-test-FFMQ), the conventional intervention effect (Time 2-FFMQ minus Time 1-FFMQ), and the effect after adjusting for response shift (i.e., actual intervention effect = Time 2-FFMQ minus then-test-FFMQ). Results: Response shift was significant for the FFMQ Observe subscale (g = 0.41) and total scale (g = 0.37). The adjusted scores in all subscales (Observe, g = 0.47; Describe, g = 0.25; Act Aware, g = 0.40; Non-judge, g = 0.28; Non-react, g = 0.57) and total scale (g = 0.60) achieved significance and yielded larger effect sizes than the conventional results, for which only Act Aware (g = 0.28), Non-react (g = 0.36), and total scale (g = 0.28) were significant. Conclusions: Notwithstanding some methodological limitations, this study lends support to the utility of the then-test to quantify response shift. When adjusting for it, effect sizes from a mindfulness- and yoga-based intervention were generally amplified. Preregistration: This study was not preregistered.

Stroke survivors' expectations and post-intervention perceptions of mindfulness training: A qualitative study.

Depression and anxiety are common sequelae of stroke, occurring in at least one-third of patients. This study evaluated the acceptability and feasibility of providing mindfulness training (MT) to stroke survivors with the aim of reducing depression and anxiety. Following a six-week one-on-one MT course, 17 participants were interviewed. The median age of participants was 71, and 10 participants were male. This paper focuses on participants' expectations of the MT and their views about its impact on their everyday lives. Conventional content analysis was used for coding and analysis. A single theme, Seizing rehabilitation opportunities, was captured in relation to expectations of MT, and four themes provided information relating to participants' perceived impact of the course: Calming the mind, Reduced reactivity, Remedying physical symptoms, and Not quite there yet.Most participants knew little about mindfulness before the MT and did not have specific goals in mind when volunteering to take part. The findings suggest that most participants considered MT beneficial through reducing stress and giving them additional skills to cope with their everyday lives. A tailored mindfulness intervention may be a useful adjunct to other rehabilitation therapies for stroke survivors.

Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture.

Mindfulness training is associated with improvements in psychological wellbeing and cognition, yet the specific underlying neurophysiological mechanisms underpinning these changes are uncertain. This study uses a novel brain-inspired artificial neural network to investigate the effect of mindfulness training on electroencephalographic function. Participants completed a 4-tone auditory oddball task (that included targets and physically similar distractors) at three assessment time points. In Group A (n = 10), these tasks were given immediately prior to 6-week mindfulness training, immediately after training and at a 3-week follow-up; in Group B (n = 10), these were during an intervention waitlist period (3 weeks prior to training), pre-mindfulness training and post-mindfulness training. Using a spiking neural network (SNN) model, we evaluated concurrent neural patterns generated across space and time from features of electroencephalographic data capturing the neural dynamics associated with the event-related potential (ERP). This technique capitalises on the temporal dynamics of the shifts in polarity throughout the ERP and spatially across electrodes. Findings support anteriorisation of connection weights in response to distractors relative to target stimuli. Right frontal connection weights to distractors were associated with trait mindfulness (positively) and depression (inversely). Moreover, mindfulness training was associated with an increase in connection weights to targets (bilateral frontal, left frontocentral, and temporal regions only) and distractors. SNN models were superior to other machine learning methods in the classification of brain states as a function of mindfulness training. Findings suggest SNN models can provide useful information that differentiates brain states based on distinct task demands and stimuli, as well as changes in brain states as a function of psychological intervention.