The rationale for targeting the PCC rests on a substantial body of neuroimaging work. The PCC is a primary hub of the default mode network (DMN), the constellation of regions most active during self-referential thought, rumination, and mind-wandering. Heightened PCC activity has been linked to getting caught up in one’s experience, whereas reduced activity accompanies states of effortless awareness reported by seasoned practitioners. Experienced meditators can willfully dampen PCC activity, and this control is associated with increased anticorrelation between the DMN and the central executive network (CEN), which supports top-down regulation of internal mentation. The Arizona team reasoned that directly suppressing the PCC with ultrasound during training might help novices bypass the hardest early hurdle of meditation: quieting the restless, self-absorbed chatter that derails so many beginners.

Transcranial focused ultrasound is uniquely suited to this challenge. Unlike transcranial magnetic stimulation or transcranial electrical stimulation, tFUS can reach subcortical and midline structures with millimeter-scale precision, because acoustic energy passes through the skull and can be focused at depth. Previous work by the same group showed that PCC-targeted tFUS reduced functional connectivity across the midline of the default mode network, increased state mindfulness, and altered participants’ sense of self and time. Other studies have reported reductions in depression and anxiety symptoms after ultrasound neuromodulation of other targets, including the amygdala. In the new trial, the researchers selected a 5 percent duty cycle based on prior evidence of its suppressive effects, and they individualized the target for each participant by identifying the peak default-mode voxel within the PCC using independent component analysis of that person’s own resting-state fMRI data.

The trial enrolled meditation-naive adults recruited from the Tucson area. Of 214 individuals screened by telephone, 34 were eligible and 30 were randomized to active or sham stimulation; 24 completed the full protocol, with 16 in the active group and 8 in the sham group. Participants completed six laboratory visits, two MRI sessions, 14 daily at-home meditation lessons, and six days of ecological momentary assessment. The training protocol was the same Body Focus program used in earlier dismantling trials of mindfulness training: participants learned to monitor bodily sensations as they arise and pass, noting qualities such as pressure, warmth, or tingling, while maintaining an accepting, non-interfering orientation toward whatever they noticed. Lessons were delivered as standardized audio recordings sent by text message each day, and participants who missed more than three sessions were dropped from the study.

During four in-person sessions, participants meditated with their eyes closed while a technician held a 55-millimeter focused ultrasound transducer against the scalp, coupled with transmission gel and guided by neuronavigation. Active stimulation lasted five minutes; for sham participants, the function generator’s oscillators were switched off so no acoustic signal was emitted. Afterward, participants were escorted to a meditation room and invited to sit for as long as they wished, with the duration recorded. No adverse events were reported, and a second susceptibility-weighted MRI scan at the end of the study showed no damage or changes to vasculature. Most sessions produced few or no reported sensations, although the auditory profile of the device proved to be a blinding problem: 13 of 14 active participants reported hearing a beeping or buzzing during stimulation, compared with only 3 of 8 sham participants, who most likely heard only the amplifier switching on.

The headline neural result was a significant Condition by Session interaction in resting-state DMN-CEN connectivity, measured with functional MRI before and after the training period. In the active group, connectivity between the two networks decreased significantly over the two weeks, while in the sham group the estimated change was a nonsignificant increase. The pattern held at the subnetwork level: all nine DMN-CEN subnetwork interaction estimates were negative, and three survived false-discovery-rate correction. Most compellingly, when the analysis was restricted to connectivity between the stimulated PCC parcel and the central executive network, the decoupling effect was even stronger, with PCC-CEN coupling falling in the active group and rising in the sham group. This seed-based result supports a PCC-mediated mechanism, suggesting the ultrasound directly altered the coordination between the brain’s self-referential machinery and its control systems.

Crucially, the active intervention did not merely accelerate the same trajectory that sham participants followed. The two groups moved in opposite directions, indicating a qualitatively different network reconfiguration induced by combining ultrasound with meditation training. The authors interpret this in light of the inverted U-shaped curve of neural activity that accompanies skill acquisition: novices often show muddled segregation between the DMN and CEN, and early attempts at meditation can even transiently increase self-referential activity as practitioners struggle with mind-wandering. By suppressing the PCC during practice, the stimulation may have helped participants through this initial difficulty, nudging their brains toward the pattern of network segregation seen in long-term meditators, and doing so in only two weeks.

The behavioral findings were more cautious. The preregistered outcome, the total score on the Equanimity Scale-16, did not differ between groups; both active and sham participants gained roughly seven points over the training period. However, an exploratory analysis of the Acceptance subscale revealed that participants with greater decreases in DMN-CEN connectivity showed larger gains in acceptance, an association that was significant within the active group. Average voluntary meditation duration was slightly longer in the active group, about 12 minutes versus 9.5 minutes per session, but the difference was not statistically significant, and the relationship between connectivity change and sitting time differed in direction by condition without reaching significance. The authors are careful to note that reduced DMN-CEN coupling should not be read as unambiguously beneficial: several prior mindfulness interventions have reported increases in positive PCC-prefrontal connectivity, and the direction of meditation-related change in this circuit remains context-dependent across the literature.

The study also carries important limitations that temper enthusiasm. The preregistration called for 80 participants with balanced allocation, but funding and resource constraints reduced the final sample to 24 completers with a 2:1 active-to-sham imbalance, and a post hoc sensitivity analysis showed the trial was powered only to detect very large between-condition differences. The connectivity analyses were treated as exploratory because the preregistered hypothesis did not specify a unique network contrast. Blinding integrity is another concern, given how detectable the active ultrasound was, raising the possibility that expectancy effects influenced self-reported outcomes. The team also notes that no correction for skull-induced acoustic distortion was applied, so some participants may have received suboptimal energy at the target, and future protocols should incorporate CT-based acoustic modeling.

Even with those caveats, the study marks a notable step toward what the authors call a precision wellness approach to contemplative training. Rather than treating meditation as a one-size-fits-all practice, they envision characterizing what each individual needs neurobiologically and behaviorally, then selecting the optimal stimulation target, dose, and exposure to support skill acquisition. If replicated in larger, fully blinded trials with active sham procedures, PCC-targeted ultrasound could become a practical accelerant for mindfulness training, helping beginners reach the network configuration that experienced meditators cultivate over years. For now, the image is tantalizing: a five-minute burst of inaudible sound, aimed at the brain’s self-center, quietly retuning the circuits that determine whether we get swept up in our thoughts or let them pass.

Subject of Research: Transcranial focused ultrasound of the posterior cingulate cortex combined with mindfulness training in meditation-naive adults

Article Title: Facilitating Mindfulness Training with Ultrasonic Neuromodulation

Article References: Lord, B., Lord, E. N., Schachtner, J., Beaman, L., Young, S., Allen, J. J., & Sanguinetti, J. L. (2026). Facilitating Mindfulness Training with Ultrasonic Neuromodulation. Mindfulness. https://doi.org/10.1007/s12671-026-02994-5

Image Credits: AI Generated

DOI: 10.1007/s12671-026-02994-5

Keywords: mindfulness, meditation, transcranial focused ultrasound, posterior cingulate cortex, default mode network, central executive network, equanimity, neuromodulation, functional connectivity, fMRI, brain stimulation, contemplative neuroscience

The problem the researchers set out to solve is surprisingly basic. Mindfulness research has exploded over the past two decades, with hundreds of trials showing benefits for mental health and well-being in both clinical and non-clinical populations. Yet the overwhelming majority of studies have measured practice quantity, such as how many minutes or sessions participants completed, while treating practice quality as an unmeasured black box. Existing mindfulness questionnaires capture related but different constructs, including trait mindfulness, which reflects a person’s general disposition, and state mindfulness, which captures momentary awareness during practice. Others assess adherence to practice schedules or mechanisms like equanimity. None, according to the authors, had ever been built to assess the quality of the practices themselves, even though evidence suggests that quality, not just duration, may drive outcomes, particularly for novice meditators who have not yet learned to hold attention steadily.

Drawing on Buddhist psychology and modern clinical practice, the team focused on the two practices they describe as the fundamental pillars of mindfulness meditation: concentration, known in the Pali tradition as śamatha, and insight, known as vipassanā. In śamatha practice, the meditator rests attention on a single object, typically the sensation of breath at the nostrils, training the executive functions of sustaining attention, inhibiting the habitual pull toward thoughts, and shifting attention back without frustration. In vipassanā practice, the meditator opens awareness to whatever arises, observing body sensations, emotions and thoughts as impermanent, impersonal phenomena. The researchers deliberately excluded loving-kindness practice from the initial instrument, noting that classical taxonomies classify it as an affective-directed method distinct from the cognitive-directed śamatha and vipassanā practices taught in the earliest Buddhist sources.

The MMPQS was designed to be completed immediately after a meditation session, capturing the practice while it remains fresh. Each of the two scales began with ten items rated on a seven-point Likert scale ranging from not at all true to completely true. Item development drew on traditional meditation manuals and the clinical teaching sequence of MiCBT, and items were refined through an iterative consensus process among experienced meditation teachers on the research team. Concentration items probe the ability to stay focused and to refocus quickly after distraction, with examples such as being able to return to the breath after thoughts or images intervene. Insight items assess the capacity to feel a range of sensations in the body, to perceive experience with objectivity and distance, and to avoid reacting to physical, emotional or mental events, mapping directly onto the interoceptive awareness, equanimity and impermanence components of vipassanā.

What distinguishes this study methodologically is its use of Rasch analysis, a psychometric approach that many readers will find both technical and quietly revolutionary. Traditional scoring of questionnaires assumes that Likert-scale responses behave like interval data, so that the difference between scores of 25 and 26 means the same as the difference between 29 and 30. In reality, ordinal ratings rarely satisfy this assumption, introducing measurement error into every downstream analysis. Rasch models explicitly acknowledge the ordinal nature of the data and provide a mathematically principled conversion from raw summed scores to interval-level estimates on a logit scale. The researchers provide conversion tables so that clinicians and researchers can transform raw MMPQS scores without additional software, enabling precise detection of change over time and meaningful comparisons across groups and studies.

The Rasch analysis itself was an iterative winnowing process. Data came from 368 clinical participants at two psychology clinic sites, all diagnosed with at least one comorbid mental health condition and most seeking help for anxiety disorders. Participants completed the Concentration scale after concentration practices and the Insight scale after insight practices on two measurement occasions, with combined samples of 414 and 313 observations respectively. On the Concentration scale, items measuring things like feeling that time passed quickly or feeling motivated and engaged proved to be double-barreled, vague or peripheral to the construct, while two nearly identical refocusing items created local dependency. Removing these and combining two remaining dependent item pairs as testlets yielded a clean six-item scale with high reliability, person separation index values between 0.89 and 0.94, and strict unidimensionality.

The Insight scale presented a different pattern of problems. Its initial items all fit the Rasch model, but the scale failed tests of unidimensionality, and one item showed differential item functioning by age, meaning it behaved differently for younger and older respondents. Through successive rounds of analysis, redundant and double-barreled items were removed until a six-item version emerged that preserved full coverage of the insight construct: two items for interoceptive awareness, two for equanimity, and two for awareness of impermanence and non-self. Neither final scale showed differential item functioning for age, gender, prior meditation experience or time of measurement, indicating that the instruments perform equivalently across these groups and that changes in scores over the course of treatment reflect genuine improvements in practice quality rather than shifting item behavior.

Validity testing delivered results that the authors describe as consistent with their hypotheses. Both scales showed small to moderate correlations in the expected directions with measures of equanimity, depression, anxiety, stress, awareness, kindness, life satisfaction and self-efficacy for meditation, supporting construct and divergent validity. More striking were the predictive findings. Concentration practice quality significantly predicted lower levels of depression, anxiety and stress, though not life satisfaction. Insight practice quality predicted reduced symptoms and, uniquely, increased life satisfaction. The authors suggest the difference may reflect the sequential structure of the therapy: concentration training begins in week two and is practiced for only a week or two before insight practices are introduced, possibly too brief a window for patients to feel meaningful gains in life satisfaction so early in treatment. Scores on both scales also rose significantly from the first to the second measurement occasion, consistent with the idea that practice quality improves with continued training.

For clinicians and teachers, the appeal of the MMPQS lies in its practicality. Because the scales are short and administered immediately after practice, they can serve as feedback tools, helping novice meditators understand the skills their practice is meant to cultivate, tracking their progress session by session, and flagging specific difficulties, whether sustaining attention or holding equanimity in the face of unpleasant sensations, that may warrant extra guidance. A participant scoring 25 on the raw Concentration scale, for example, converts to an interval score of 22.11, while a score of 30 converts to 25.10, with equal intervals between converted scores now representing genuine equal units of the underlying ability rather than arbitrary ordinal steps.

The authors are careful about the limits of their findings. The validation sample was culturally homogeneous, predominantly White Australian adults treated within a single therapy program, and the iterative, partly data-driven item selection could have capitalized on chance characteristics of this particular sample, so confirmation in independent samples is needed before the six-item solutions are treated as final. Detailed practice frequency and duration data were not collected, and the temporal lag between concentration and insight training introduces a confound into the predictive analyses. Future work will extend the MMPQS to non-clinical populations, culturally diverse samples, other mindfulness-based programs, and eventually a loving-kindness subscale. Still, the study marks a turning point: for the first time, researchers can measure not just whether people meditate, but whether they meditate well, opening a path toward understanding precisely how the quality of attention, equanimity and insight translates into relief from suffering.

Subject of Research: Development and validation of scales measuring the quality of mindfulness meditation practices using Rasch analysis

Article Title: Development and Validation of the Mindfulness Meditation Practice Quality Scales (MMPQS) in a Clinical Population Using Rasch Analysis

Article References: Strohmaier, S., Cayoun, B. A., Shires, A. G., Medvedev, O. N., & Krägeloh, C. U. (2026). Development and Validation of the Mindfulness Meditation Practice Quality Scales (MMPQS) in a Clinical Population Using Rasch Analysis. Mindfulness. https://doi.org/10.1007/s12671-026-02990-9

Image Credits: AI Generated

DOI: 10.1007/s12671-026-02990-9

Keywords: mindfulness, meditation, Rasch analysis, psychometrics, MMPQS, clinical psychology, Mindfulness-integrated Cognitive Behavior Therapy, concentration meditation, insight meditation, mental health, measurement, equanimity