Mindfulness

Abstract

Mindfulness, which MeSH classifies as a mental process, is the state of awareness that arises from attending, on purpose and without judgment, to present-moment experience. Imported into cognitive psychology from Buddhist contemplative practice by way of Jon Kabat-Zinn's secular clinical programs, the construct was given a two-component operational definition, the self-regulation of attention and an open, accepting orientation to whatever arises, and this article follows that definition into the laboratory. It traces the attentional signatures of meditation training, the focused-attention and open-monitoring styles, the reduction of mind wandering and default-mode activity, the mixed evidence on transfer to general cognition, the clinical programs, and the brain systems the training engages. Three interactive demonstrations let the reader lift the attentional blink with training, watch sustained attention decay and recover, and drive the decentering parameter that decides whether a low mood relapses or damps away.

Keywords: mindfulness, meditation, attention regulation, mind wandering, decentering

Mindfulness is a mode of awareness in which attention is held on present experience, deliberately and receptively, so that thoughts, feelings, and sensations are observed as passing mental events rather than reacted to or elaborated. In the Medical Subject Headings vocabulary it is catalogued as descriptor D064866, glossed as a psychological state of awareness, the practices that promote it, a mode of processing information, and a character trait, with the central feature of continually attending to present experience without discursive thought and with acceptance. The word covers three related things that are worth keeping distinct: a transient state cultivated during meditation, a durable trait on which people differ even without training (Brown & Ryan, 2003), and the family of practices that train the state and, over time, the trait. What makes mindfulness a topic in cognitive psychology rather than only in contemplative studies is that its core is an operation on attention and awareness, two of the field's oldest variables, and that its effects can be measured with the same tasks used to study selective attention, working memory, and metacognition. The sections below move from the operational definition through the attentional and mind-wandering findings, the debate over how far the benefits generalise, the clinical applications, and the neural systems involved.

What Mindfulness Is

The version of mindfulness that entered psychology has a specific and traceable origin. Jon Kabat-Zinn adapted practices from Buddhist meditation into a secular, eight-week clinical protocol, mindfulness-based stress reduction, first tested on patients with chronic pain who had not responded to conventional treatment (Kabat-Zinn, 1982). Stripped of religious framing and packaged as training, the practice could be delivered, standardised, and studied, and Kabat-Zinn's widely used characterisation, the awareness that arises through paying attention, on purpose, in the present moment, and non-judgmentally, became the field's informal definition (Kabat-Zinn, 2003). Each clause does work: on purpose marks it as deliberate rather than incidental, in the present moment distinguishes it from rumination about the past or worry about the future, and non-judgmentally names the accepting stance that separates observing an experience from evaluating or suppressing it.

That informal definition was sharpened into an operational one. A group convened by Scott Bishop proposed a two-component model: mindfulness is, first, the self-regulation of attention so that it is maintained on immediate experience, and second, an orientation toward that experience marked by curiosity, openness, and acceptance (Bishop et al., 2004). The first component is a matter of attentional control, sustaining focus, noticing when the mind has drifted, and disengaging from elaborative thought; the second is a matter of stance, meeting whatever is noticed without pushing it away or chasing it. Separating the two mattered because it made mindfulness measurable in the vocabulary of cognitive psychology and it distinguished the practice from mere concentration: a sniper and a meditator both sustain attention, but only the second is instructed to hold experience in a particular, accepting way. Independently, Kirk Brown and Richard Ryan showed that people differ in dispositional mindfulness even without training, and that this trait, measured by a short attention-and-awareness scale, predicts well-being and self-regulation (Brown & Ryan, 2003), establishing mindfulness as an individual-difference variable as well as a trainable state.

Attention Regulation

If the core of mindfulness is the self-regulation of attention, its clearest laboratory signatures should appear in attention tasks, and they do. Antoine Lutz and colleagues drew the organising distinction of the field: contemplative practices fall into two broad families defined by what they ask attention to do. In focused attention, the meditator holds attention on a chosen object, usually the breath, notices when the mind has wandered, disengages from the distractor, and returns attention to the object, a cycle repeated thousands of times. In open monitoring, attention is not tied to any object but rests in a non-reactive awareness that registers whatever arises, moment to moment, without selecting or elaborating (Lutz et al., 2008). The two styles train different things, focused attention the machinery of orienting and disengagement, open monitoring the receptive, meta-aware background, and Figure 1 lays out the focused-attention cycle that beginners spend most of their practice running.

The two components map onto separable attentional subsystems. Amishi Jha and colleagues tested meditators and controls with an attention-network task that isolates alerting, orienting, and executive conflict monitoring, and found that different forms of practice improved different subsystems: an eight-week mindfulness course enhanced the capacity to voluntarily orient attention, whereas an intensive retreat improved the tonic alertness that keeps the system receptive (Jha et al., 2007). The dissociation is important because it shows mindfulness does not simply make attention globally better; it strengthens specific components, and which components depend on the kind and dose of practice. The sharpest demonstration that training reallocates a genuine attentional bottleneck came from the attentional blink. When two targets appear in a rapid stream about half a second apart, people routinely miss the second because detecting the first consumes limited resources; Heleen Slagter and colleagues found that three months of intensive meditation reduced this blink, so that trained participants detected the second target more often, and did so without any cost to the first, evidence that the training freed up the over-investment of attention that causes the deficit (Slagter et al., 2007). The demonstration below models that result, letting the reader increase training and watch the blink at the critical lag lift.

Mind Wandering, Sustained Attention, and the Default Mode

The complement of sustained attention is mind wandering, the drift of thought away from a task toward unrelated inner content, and reducing it is one of the most reliable effects of mindfulness training. Michael Mrazek and colleagues gave undergraduates a two-week mindfulness course and found that it reduced mind wandering, measured both by self-report and by probes during a demanding task, while improving working memory capacity and reading-comprehension scores, with the gain in comprehension statistically mediated by the reduction in wandering, meaning the training helped performance specifically by keeping the mind on task (Mrazek et al., 2013). The finding ties mindfulness directly to a core cognitive limitation: a wandering mind is a mind not encoding the material in front of it, and training the return of attention pays off in comprehension.

Mind wandering has a well-characterised neural correlate in the default mode network, a set of midline and lateral regions that are most active when attention is not engaged by an external task and that support self-referential, past- and future-directed thought. Judson Brewer and colleagues scanned experienced meditators and controls during meditation and found that the meditators showed reduced activity in the main hubs of this network, and stronger coupling between those hubs and regions involved in cognitive control, a pattern consistent with a brain that generates less spontaneous self-referential thought and monitors more effectively when it does (Brewer et al., 2011). Sustained attention itself strengthens with practice: in an intensive three-month retreat, Katherine MacLean and colleagues found that training improved perceptual discrimination on a demanding vigilance task and, through that sharpening, the ability to sustain attention over time (MacLean et al., 2010). The demonstration below models sustained attention as a resource that decays into wandering and is restored by meta-aware noticing, with practice both slowing the drift and speeding the recovery; it is a schematic of that dynamic rather than a fit to MacLean's data, whose gain ran specifically through sharper perceptual discrimination rather than a topped-up resource.

Cognitive Effects and Their Limits

The attentional findings raise the natural question of how far the benefits transfer to cognition in general, and here the honest answer is more guarded than popular accounts suggest. Brief training can produce measurable gains: Fadel Zeidan and colleagues found that just four short sessions of mindfulness training improved sustained attention and performance on a working-memory-loaded task relative to a control activity (Zeidan et al., 2010), a striking result for so small a dose. But a systematic review by Alberto Chiesa and colleagues, surveying the neuropsychological literature, concluded that while early-stage practice most consistently improves selective and executive attention, evidence for durable transfer to other cognitive domains such as memory or general executive function was preliminary and inconsistent, limited by small samples and weak control conditions (Chiesa et al., 2011). An earlier conceptual and empirical review by Baer had reached a compatible verdict for the clinical outcomes: mindfulness training was a promising intervention with real effects, but the methodology of much of the literature, in particular the scarcity of active control groups, warranted caution (Baer, 2003).

That caution has been vindicated and sharpened. A meta-analysis commissioned as a rigorous appraisal, led by Madhav Goyal, found that meditation programs produced moderate reductions in anxiety and depression — standardised effects of about 0.38 and 0.30 at eight weeks, measured against active rather than passive controls — along with reduced pain, but little or no benefit over those controls for positive mood, attention, sleep, or weight, and no evidence that meditation outperformed other active treatments such as exercise or medication (Goyal et al., 2014). More pointedly still, a large group of researchers led by Nicholas Van Dam issued a corrective to the field itself, cataloguing inconsistent definitions of mindfulness, weak measurement, over-reliance on underpowered studies, and a gap between the strength of public claims and the strength of the evidence, and calling for the same methodological standards applied to any other intervention (Van Dam et al., 2018). A structural imbalance compounds the problem: the attention-regulation component has been operationalised and measured far more thoroughly than the accepting orientation, so the firmest conclusions concern the first of the two components while the specific contribution of acceptance remains comparatively under-tested. Nor is the accounting only of benefits — a mixed-methods study by Jared Lindahl and colleagues catalogued a broad taxonomy of meditation-related difficulties, spanning cognitive, perceptual, affective, and somatic domains and ranging from transient to severe, a reminder that the practice is an active intervention with a fuller range of effects than its popular image admits (Lindahl et al., 2017). The picture that survives this scrutiny is not that mindfulness does nothing, but that its best-established effects are specific, on present-moment attention, on mind wandering, and on the affective symptoms the clinical programs target, rather than a general enhancement of the mind.

Clinical Application: MBSR and MBCT

The clinical use of mindfulness runs through two structured programs. Kabat-Zinn's mindfulness-based stress reduction, an eight-week course of guided meditation, body awareness, and gentle movement, was the first, and a meta-analysis by Paul Grossman and colleagues found that it produced consistent, moderate benefits — a mean effect size of about 0.5 — across a wide range of physical and psychological conditions, with comparable gains for the mental-health and the somatic outcomes, consistent with a general improvement in the way people relate to stress rather than a disease-specific cure (Grossman et al., 2004). Its mechanism, on Kabat-Zinn's account, is not the removal of stressors but a change in stance toward them, the same accepting, present-centred orientation that the operational definition names.

The second program was engineered around a specific cognitive mechanism. John Teasdale, Zindel Segal, and Mark Williams reasoned that relapse in recurrent depression is driven by cognitive reactivity: in people who have been depressed before, a mild dip in mood reactivates the patterns of negative, ruminative thinking that were laid down in past episodes, and this reactivation, not the initial low mood, is what tips them back into depression. They combined mindfulness training with cognitive therapy to teach decentering, the capacity to relate to a negative thought as a passing mental event to be observed rather than as a truth to be acted on, so that the reactivation loop is interrupted before it amplifies. In a randomised trial, this mindfulness-based cognitive therapy roughly halved the relapse rate — which reached about 66 percent under treatment as usual — over the following year in patients with three or more previous episodes, the group at highest risk, while showing no advantage for those with fewer episodes, exactly the pattern predicted if the active ingredient is the interruption of an over-learned reactivity (Teasdale et al., 2000). The demonstration below models that mechanism as a feedback loop whose gain decentering turns down, so the reader can find the point at which a mood dip stops spiralling and instead damps away.

The Neural Basis of Mindfulness

Neuroimaging has begun to specify what mindfulness training changes in the brain, and the picture converges on the systems the behavioural work implicates. Yi-Yuan Tang, Britta Hölzel, and Michael Posner, reviewing the field, organised the effects around three interacting components, attention control, supported by the anterior cingulate and striatum; emotion regulation, supported by prefrontal control over the amygdala; and altered self-awareness, supported by changes in the default mode and insular cortex, and argued that different stages and styles of practice engage these components differently (Tang et al., 2015). The organisation matters because it replaces a vague claim that meditation changes the brain with a componential account tied to specific circuits and specific tasks.

The self-awareness component has a particularly clean demonstration. Norman Farb and colleagues distinguished two modes of self-reference in the brain: a narrative mode, in which the self is experienced as an enduring entity extended across time, supported by midline default-mode regions, and an experiential mode, in which attention rests on present-moment sensation, supported by a more lateral, insula-centred network. Mindfulness training, they found, strengthened the experiential mode and reduced the coupling that normally binds the two, so that trained participants could attend to present experience without it being pulled into the narrative self (Farb et al., 2007). This maps the accepting, present-centred stance of the operational definition onto a shift between neural modes of self-representation. Hölzel and colleagues assembled these strands into a mechanistic proposal, arguing that the benefits of mindfulness arise from at least four separable component processes, attention regulation, body awareness, emotion regulation, and a change in the perspective on the self, each with its own neural substrate, so that mindfulness is better understood as a family of trainable mechanisms than as a single faculty (Hölzel et al., 2011). Table 1 sets the principal programs and practice styles side by side with the mechanism each is thought to train and the evidence for it.

Table 1

Mindfulness Practices and Programs, and What Each Trains

Note. The two practice styles are the elementary forms; the two programs are structured clinical applications built from them. The evidence column gives one representative finding each, not the full literature, which is reviewed in the text.

Worked Examples

The attentional-blink demonstration is worth computing by hand, because it makes concrete how training lifts a specific attentional bottleneck and it reproduces exactly what the demonstration draws. When two targets appear in a rapid stream, the probability of detecting the second given that the first was seen, written p(T2 | T1), depends on the lag between them. Model it as a long-lag asymptote minus a dip centred on the second lag position:

p(lag) = A − D × exp(−(lag − 2)² / (2s²))

with the asymptotic accuracy A = 0.90, the blink width s = 1.1 lag steps, and the blink depth D set by training. Take the depth to fall linearly with a training level t that runs from 0 in an untrained observer to 1 after intensive practice, D = 0.45 × (1 − 0.6t), so that training shrinks the dip without touching the asymptote. Consider the critical second lag, lag = 2, where the exponential equals exp(0) = 1 and the dip is deepest. For an untrained observer, t = 0, the depth is D = 0.45 × (1 − 0) = 0.45, so p(2) = 0.90 − 0.45 = 0.45: the second target is seen on only about 45 percent of trials, the signature blink. Now train the observer fully, t = 1. The depth falls to D = 0.45 × (1 − 0.6) = 0.45 × 0.4 = 0.18, so p(2) = 0.90 − 0.18 = 0.72, about 72 percent.

Training therefore lifts detection at the bottleneck from 45 to 72 percent, a gain of 27 percentage points, while performance at the long lags is unchanged: at lag = 5, for instance, the exponential term is exp(−(3)² / 2.42) = exp(−3.72) = 0.024, so even untrained p(5) = 0.90 − 0.45 × 0.024 = 0.889, already near the 0.90 ceiling, and training moves it only to 0.896. The blink is thus a localised deficit at short lags, and the effect of training is to fill it in, not to raise accuracy everywhere, which is precisely the dissociation Slagter and colleagues reported, more second targets detected with no cost to the first (Slagter et al., 2007). Setting the demonstration's training slider to its extremes reproduces these two curves, and the readout at lag 2 steps from 45 to 72 percent point for point.

The decentering demonstration rewards the same by-hand treatment, because it shows why decentering has a sharp threshold rather than a graded effect. Model a ruminative episode as a feedback loop: a low mood reactivates a negative thought, which deepens the mood, which reactivates the thought more strongly, so the activation on cycle n grows or shrinks by a fixed gain each pass, a_n+1 = r × a_n. Untreated, the loop has a base gain above one; take r₀ = 1.3. Decentering — seeing the thought as a passing mental event rather than a fact — skims a fraction dec off that gain each cycle, so the effective gain is r = 1.3 × (1 − dec). Starting from a unit activation a₀ = 1.0, the activation after n cycles is simply a_n = rⁿ, which runs away toward a relapse whenever r > 1 and dies out whenever r < 1.

The knife-edge is therefore not a matter of degree but a single critical value where the gain equals exactly one: 1.3 × (1 − dec) = 1, which solves to dec* = 1 − 1/1.3 ≈ 0.231, about 23 percent. Below this the loop still amplifies. With no decentering, dec = 0, the gain is r = 1.3 and the activation climbs 1.0 → 1.3 → 1.69 → 2.197, crossing a relapse threshold of 2.0 on the third cycle. Above the critical value it collapses: at dec = 0.4 the gain is r = 1.3 × 0.6 = 0.78 and the activation falls 1.0 → 0.78 → 0.608 → 0.475, damping toward zero. The transition is abrupt because a geometric series flips from divergent to convergent the instant its ratio passes one, which is why the demonstration shows the rumination trace either escalating or subsiding with little in between, and why Teasdale and colleagues framed decentering as the switch that decides whether low mood reignites the depressive loop (Teasdale et al., 2000). The demonstration's decentering slider crosses this same 23 percent boundary, flipping its readout from escalation to recovery point for point.

Discussion

Mindfulness is a case study in what happens when a practice from outside science is brought inside it. The gain has been real: an ancient family of contemplative techniques was given a two-component operational definition (Bishop et al., 2004), connected to the standard apparatus of attention research, and shown to leave measurable fingerprints, a shallower attentional blink (Slagter et al., 2007), less mind wandering with a corresponding quieting of the default mode network (Mrazek et al., 2013; Brewer et al., 2011), and a shift between neural modes of self-reference (Farb et al., 2007). At the same time the encounter has disciplined the claims. The most rigorous appraisals find the effects specific rather than global, and stronger for the affective symptoms the clinical programs target than for general cognitive enhancement (Goyal et al., 2014; Chiesa et al., 2011), and the field has been warned, from within, against outrunning its evidence (Van Dam et al., 2018).

The most instructive result may be the clinical one, because it shows the value of a precise mechanism. Mindfulness-based cognitive therapy did not work by making patients generally calmer; it worked, and only for the high-risk group, by interrupting a specific cognitive loop, the reactivation of ruminative thinking by low mood, through the trainable skill of decentering (Teasdale et al., 2000). That specificity is what a cognitive account buys: it predicts who will benefit and why, and it turns a diffuse practice into a targeted intervention. The open questions are correspondingly concrete. How much of the benefit is attention regulation versus the accepting stance, and can the two be separated in training? Which doses and styles change which of the componential mechanisms that the neural work distinguishes (Hölzel et al., 2011; Tang et al., 2015)? The interactive figures above are illustrative models, not fitted data, of the three phenomena, the attentional blink, the decay and recovery of sustained attention, and the decentering feedback loop, that the research has brought into the cognitive laboratory.

Common Misconceptions

Mindfulness means clearing the mind of all thoughts.

The operational definition is the opposite: attention is regulated on present experience and thoughts are observed with an open, accepting orientation, not eliminated (Bishop et al., 2004). In focused-attention practice the mind is expected to wander repeatedly; the training is noticing the wandering and returning, not preventing it (Lutz et al., 2008).

Meditation reliably makes people smarter and improves cognition across the board.

The best-supported effects are specific to present-moment attention and mind wandering; a systematic review found evidence for transfer to general memory and executive function preliminary and inconsistent (Chiesa et al., 2011), and a rigorous meta-analysis found little benefit over active controls for attention or positive mood (Goyal et al., 2014).

Mindfulness is inseparable from religion and cannot be studied scientifically.

The clinical form was deliberately secularised and standardised as an eight-week protocol precisely so it could be delivered and tested (Kabat-Zinn, 2003), and dispositional mindfulness is measurable in people with no practice at all (Brown & Ryan, 2003).

The evidence for mindfulness is overwhelming and settled.

A large group of researchers has warned from within the field that inconsistent definitions, weak measurement, and underpowered studies have produced a gap between public claims and actual evidence, and called for stricter standards (Van Dam et al., 2018). Real effects coexist with genuine methodological limits.

Glossary

Acceptance.

The non-judgmental, non-reactive orientation toward experience that forms the second component of mindfulness, meeting whatever is noticed without pushing it away or elaborating it.

Attentional blink.

The reduced probability of detecting a second target when it follows a first by about 200 to 500 milliseconds in a rapid stream, attributed to a limited attentional resource consumed by the first target; meditation training reduces it.

Cognitive reactivity.

The reactivation of patterns of negative, ruminative thinking by a mild dip in mood in people with a history of depression; the process mindfulness-based cognitive therapy is designed to interrupt.

Decentering.

The capacity to relate to a thought or feeling as a passing mental event to be observed rather than as a fact to be acted on; the mechanism through which mindfulness-based cognitive therapy interrupts depressive relapse.

Default mode network.

A set of midline and lateral brain regions most active during rest and self-referential, past- and future-directed thought; its activity is reduced in experienced meditators and is a neural correlate of mind wandering.

Dispositional mindfulness.

The trait level of present-moment attention and awareness on which people differ even without training, measurable by self-report and predictive of well-being and self-regulation.

Focused attention.

A meditation style in which attention is held on a chosen object, usually the breath, and repeatedly returned to it after each lapse; it trains orienting, detection of drift, and disengagement.

Meta-awareness.

The noticing that attention has wandered from its intended object; the monitoring step that closes the focused-attention cycle and allows attention to be redirected.

Mind wandering.

The drift of thought away from a task or the present moment toward unrelated inner content; its reduction is among the most reliable effects of mindfulness training.

Mindfulness-based cognitive therapy.

A structured program combining mindfulness training with cognitive therapy, designed to prevent depressive relapse by teaching decentering from ruminative thought; abbreviated MBCT.

Mindfulness-based stress reduction.

The original secular eight-week clinical program of meditation, body awareness, and movement developed by Kabat-Zinn; abbreviated MBSR.

Open monitoring.

A meditation style in which attention is not tied to any object but rests in a non-reactive awareness that registers whatever arises, without selecting or elaborating; it trains receptive, meta-aware attention.

Self-regulation of attention.

The first component of the operational definition of mindfulness: maintaining attention on immediate experience, noticing when it has drifted, and returning it, drawing on the same control processes studied in attention research.

State versus trait mindfulness.

The distinction between the transient state of awareness cultivated during a given meditation and the durable trait level of mindfulness a person carries across situations; training aims to raise the trait by repeating the state.

Key Researchers

Richard J. Davidson. William James and Vilas Professor of Psychology and Psychiatry at the University of Wisconsin–Madison and founder of the Center for Healthy Minds; he brought contemplative practice into affective neuroscience, showing with Slagter and Lutz that intensive mental training reallocates limited attentional resources and reduces the attentional blink. Faculty Page - ORCID - Google Scholar - Wikipedia

Amishi P. Jha. Professor of psychology at the University of Miami and director of contemplative neuroscience for its mindfulness initiative; she dissociated the effects of mindfulness training on distinct attentional subsystems, showing that different practices and doses strengthen alerting, orienting, and conflict monitoring differently. Faculty Page - ORCID - Google Scholar - Wikipedia

Jon Kabat-Zinn. Professor of Medicine emeritus at the University of Massachusetts Medical School; he founded mindfulness-based stress reduction, translating Buddhist meditation into a secular clinical protocol that could be standardised and studied, and supplied the field's most cited working definition of mindfulness. Faculty Page - Wikipedia

Antoine Lutz. Research Director at INSERM in the Lyon Neuroscience Research Center; he drew the influential distinction between focused-attention and open-monitoring styles of meditation that organises the cognitive neuroscience of the practice, and co-authored the attentional-blink training study. Faculty Page - ORCID - Google Scholar

Zindel V. Segal. Distinguished Professor of Psychology in Mood Disorders at the University of Toronto Scarborough; with Williams and Teasdale he co-developed mindfulness-based cognitive therapy, showing that training in decentering roughly halves relapse in patients with recurrent depression. Faculty Page - ORCID - Google Scholar - Wikipedia

Frequently Asked Questions

What is mindfulness?
Mindfulness is present-moment awareness cultivated on purpose and without judgment; the field's operational definition has two components, the self-regulation of attention onto immediate experience and an open, accepting orientation toward whatever arises (Bishop et al., 2004). It is studied as a transient state, a durable trait, and a set of trainable practices.

What is the difference between focused-attention and open-monitoring meditation?
Focused-attention practice holds attention on a chosen object, usually the breath, and returns it after each lapse, training orienting and disengagement; open-monitoring practice rests in non-reactive awareness of whatever arises without selecting an object, training receptive alertness (Lutz et al., 2008). Most beginners spend their practice on the focused-attention cycle.

Does mindfulness training actually improve attention?
Yes, for specific attentional functions. Training reduces mind wandering and can lift performance at attentional bottlenecks such as the attentional blink (Slagter et al., 2007), and brief training improves sustained attention (Zeidan et al., 2010). The effects are on present-moment attention rather than a general boost to all cognition.

Does mindfulness make people smarter or improve memory in general?
The evidence for broad transfer is weak. A systematic review found gains most consistent for selective and executive attention but preliminary and inconsistent for general memory and executive function (Chiesa et al., 2011), and a rigorous meta-analysis found little benefit over active controls for attention or positive mood (Goyal et al., 2014).

How does mindfulness affect the brain?
Reviews organise the effects around attention control, emotion regulation, and altered self-awareness, supported respectively by cingulate and prefrontal circuits and by the default mode and insular cortex (Tang et al., 2015). Experienced meditators show reduced default-mode-network activity (Brewer et al., 2011) and a strengthened present-moment mode of self-reference (Farb et al., 2007).

What is mindfulness-based cognitive therapy?
It is a structured program combining mindfulness training with cognitive therapy to prevent depressive relapse by teaching decentering, the ability to observe a negative thought rather than act on it (Teasdale et al., 2000). In a randomised trial it roughly halved relapse in patients with three or more previous episodes, the highest-risk group.

Is mindfulness a religious practice?
Its roots are in Buddhist contemplative practice, but the clinical form was deliberately secularised and standardised so it could be delivered and tested independent of any belief system (Kabat-Zinn, 2003). Dispositional mindfulness is also measurable in people who have never meditated (Brown & Ryan, 2003).

Is the science of mindfulness settled?
No. A large group of researchers has warned from within the field that inconsistent definitions, weak measurement, and underpowered studies have opened a gap between public claims and the evidence, and has called for stricter methodological standards (Van Dam et al., 2018). Genuine effects coexist with real methodological limits.

References