Holzel et al.

Original Journal Article:

Mindfulness meditation has been reported to produce positive effects on psychological well-being that extend beyond the time the individual is formally meditating. Over the last three decades mindfulness meditation practices have been increasingly incorporated into psychotherapeutic programs, to take advantage of these benefits (cf. Baer, 2003; Grossman et al., 2004). A large body of research has established the efficacy of these mindfulness-based interventions in reducing symptoms of a number of disorders, including anxiety (Roemer et al., 2008), depression (Teasdale et al., 2000), substance abuse (Bowen et al., 2006), eating disorders (Tapper et al., 2009), and chronic pain (Grossman et al., 2007), as well as improving well-being and quality of life (e.g., Carmody and Baer, 2008). Mindfulness meditation involves the development of awareness of present-moment experience with a compassionate, nonjudgmental stance (Kabat-Zinn, 1990). It has been suggested that this process is associated with a perceptual shift (Carmody, 2009), in which one's thoughts and feelings are recognized as events occurring in the broader field of awareness

Neuroimaging studies have begun to explore the neural mechanisms underlying mindfulness meditation practice with techniques such

as electroencephalography (EEG) (Davidson et al., 2003; Slagter et al.,

2007) and functional magnetic resonance imaging (MRI) (Farb et al.,

2007; Lutz et al., 2008; Farb et al., 2010; Goldin and Gross, 2010).

Recently, several cross-sectional anatomical MRI studies have demonstrated that experienced meditators exhibit a different gray matter

morphometry in multiple brain regions when compared with nonmeditating individuals (Lazar et al., 2005; Pagnoni and Cekic, 2007;

Hölzel et al., 2008; Luders et al., 2009; Vestergaard-Poulsen et al., 2009;

Grant et al., 2010). While most of the brain regions identified have been

reported in only one of these studies, the divergent results are likely due

to differences in participant characteristics, type of meditation, and data

analysis methods (see Table 1). Group differences in the hippocampus

and the right anterior insula, however, have each been identified in at

least two of the studies. Furthermore, activation in both regions has

been reported during meditative states (hippocampus (Lazar et al.,

2000; Hölzel et al., 2007); insula (Farb et al., 2007; Lutz et al., 2008)).

The hippocampus is known to be critically involved in learning and

memory processes (Squire, 1992), and in the modulation of emotional

control (Corcoran et al., 2005; Milad et al., 2007), while the insula has

been postulated to play a key role in the process of awareness (Craig,

2009) — functions which have been shown to be important in the

process and outcomes of mindfulness training (Bishop et al., 2004;

Shapiro et al., 2006; Ortner et al., 2007)

A growing body of literature has demonstrated that neural systems

are modifiable networks and changes in the neural structure can occur

in adults as a result of training. For example, longitudinal studies have

shown task-specific increases in brain gray matter as an effect of

acquisition of abstract information (Draganski et al., 2006), motor

skills (Draganski et al., 2004), aerobic training (Colcombe et al., 2006),

and cognitive skills (Ilg et al., 2008). Cross-sectional studies have

established that differences in regional gray matter are associated

with performance abilities (Mechelli et al., 2004; Milad et al., 2005),

suggesting that an increase in gray matter corresponds to improved

functioning in the relevant area. Studies of experienced meditators

have also suggested the possibility of structural plasticity, but their

cross-sectional designs did not exclude the possibility of pre-existing

group differences, precluding causal conclusions. Here we report a

longitudinal study of gray matter changes associated with a

mindfulness-based intervention. The focus of the study was to

identify brain regions that changed in association with participation

in an 8-week Mindfulness-Based Stress Reduction course (MBSR;

Kabat-Zinn, 1990). This group program aims to improve participants'

mindfulness and well-being, and reduce their levels of perceived

stress. The study was an attempt to find objectively measurable

neurological changes that could underlie the trait-changes associated

with mindfulness practice. Changes in gray matter concentration

were investigated using voxel-based morphometry. Focused analyses

were conducted for the hippocampus and insula as our predefined

regions of interest. Exploratory analyses were then performed on the

entire brain and compared with a control group

MBSR participants were recruited among individuals enrolled in

four MBSR courses held at the Center for Mindfulness at the University of Massachusetts Medical School. The courses included physician- and

self-referred individuals from across New England who were seeking

stress reduction. Individuals were included in the study if they selfreported as physically and psychologically healthy and not taking any

medications. Further inclusion criteria were as follows: no meditation

classes in the past 6 months, no more than four classes in the past

5 years, or 10 classes in their lifetime; 25 to 55 years old; no contraindications for MRI scanning (i.e., metallic implants, claustrophobia);

commitment to attend all eight classes and perform the prescribed

daily homework. Eighteen healthy, right-handed individuals were

enrolled in the study, eight male and 10 female, with a mean age of:

37.89 years (S.D.: 4.04 years). Due to discomforts during the first MRI

scanning session, two participants did not return for the second

session. The resulting sample consisted of six male and 10 female

participants with a mean age of 38.0 years (S.D.: 4.1 years). Ethnicities

were as follows: 13 Caucasians, one Asian, one African American, and

one multi-ethnic. Participants had an average of 17.7 years of

education (S.D.: 1.9 years). Reimbursement for study participation

was a discounted MBSR course fee.

The control sample consisted of 17 participants (11 male and six

female) with a mean age of 39.0 years (S.D.: 9.2 years) and an

average of 17.3 years of education (S.D.: 1.8 years). Ethnicities were

as follows: 13 Caucasians, two Asians, two African American, and one

Hispanic. The groups did not differ in age (t (22.3)= 0.56; P= 0.58),

or education (t (30)=−0.56, P= 0.58). The study protocol was

approved by the Institutional Review Boards (IRBs) of Massachusetts

General Hospital and the University of Massachusetts Medical

School, and written informed consent was obtained from all

participants. A previous publication that investigated neural correlates of changes in perceived stress (Hölzel et al., 2009) included

data from this sample.

(Kabat-Zinn, 1990). Briefly, it consists of eight weekly group meetings

lasting 2.5 h each, plus 1 full day (6.5 h) during week 6 of the course.

Formal mindfulness training exercises aim at developing the capacity

for mindfulness (awareness of present-moment experiences with a

compassionate, non-judgmental stance) and include a body scan,

mindful yoga, and sitting meditation. During the body scan attention

is sequentially guided through the entire body, observing with nonjudgmental awareness the sensations in each region and ending with

an awareness of the body “as a complete whole”. The mindful yoga

typically contains gentle stretching exercises and slow movements

that are often coordinated with the breath, with emphasis placed on

bringing full awareness to the moment-to-moment experience and a

non-harming attitude towards the body. Participants are encouraged

to investigate what feels appropriate for themselves and to honor

their body's limitations. Sitting meditation practices typically begin

with awareness of the sensations of breathing, then evolve to include

awareness of different modalities (such as sounds, sight, taste, other

body sensations, thoughts and emotions). Later, emphasis is given to

open awareness meditation, where the field of awareness is expanded

to include anything that appears in consciousness, or a simple

awareness of one's presence in the here and now.

Participants received audio recordings containing 45-min guided

mindfulness exercises (body scan, yoga, and sitting meditation) that

they were instructed to practice daily at home. To facilitate the

integration of mindfulness into daily life, they were also taught to

practice mindfulness informally in everyday activities such as eating,

walking, washing the dishes, or taking a shower. During classes, the

formal mindfulness exercises were practiced, questions relating to the

practice of mindfulness in everyday life were clarified and didactic

instruction was given on using mindfulness for coping with stress in

daily life. Historically, MBSR participants have reported a wide range of home practice compliance and for this reason study participants recorded the amount of time they spent engaged in mindfulness exercises each day

The Five Facet Mindfulness Questionnaire (FFMQ; Baer et al., 2006)

is a 39-item scale to measure five factors of mindfulness: Observing

(attending to or noticing internal and external stimuli, such as

sensations, emotions, cognitions, sights, sounds, and smells), describing (noting or mentally labeling these stimuli with words), acting

with awareness (attending to one's current actions, as opposed to

behaving automatically or absent-mindedly), non-judging of inner

experience (refraining from evaluation of one's sensations, cognitions,

and emotions) and non-reactivity to inner experience (allowing

thoughts and feeling to come and go, without attention getting caught

up in them). Responses to the items are given on a 5-point Likert-type

scale (1=never or very rarely true, 5= very often or always true).

The five subscales have shown adequate to good internal consistency

(Baer et al., 2006). Usable data from both time-points were obtained

from 14 MBSR and 14 control participants.

All participants were scanned at the Martinos Center for Biomedical Imaging in Charlestown, MA. MBSR participants were scanned during the 2 weeks before (Pre) and after (Post) participation in the program. Control participants were also scanned twice, approximately 2 months apart. There was an average time of 56.25 days (S.D.: 4.5 days) in between scanning sessions for the MBSR group and 65.67 days (S.D.: 11.22 days) for the control group. High-resolution MRI data were acquired with a Siemens Magnetom Avanto 1.5 T scanner with standard head coil. Data sets of the whole brain were collected using a T1 weighted MPRAGE-sequence, consisting of 128 sagittal slices (1.0×1.0×1.3 mm, TI= 1000 ms; TE= 3.39 ms; TR= 2730 ms). Image analysis was performed with voxel-based morphometry (VBM) tools within the Statistical Parametric Mapping (SPM5) neuroimaging statistical software (Wellcome Department of Cognitive Neurology, London, www.fil.ion.ucl.ac.uk/ spm/software/spm5/) based in MATLAB 7.1, release 14 (Mathworks Inc., Natick, MA, USA), using default settings unless otherwise specified. VBM permits an automated voxel-wise whole brain statistical comparison of MRI scan (Ashburner and Friston, 2000). Images were manually aligned to the anterior commissure and then segmented into gray and white matter in native space (i.e., before normalization, using the ‘Native Space’ segmentation option implemented in SPM5). For each individual, the (unmodulated) gray matter segmentations of the Pre and Post images were spatially coregistered. Normalization parameters were calculated for the Pre scan and were applied to both time-points (trilinear interpolation, 2×2×2 mm), to make sure that regional differences between the images were not removed by scan-specific spatial normalization (Driemeyer et al., 2008; Ilg et al., 2008). Images were smoothed using an 8-mm full width at half maximum Isotropic Gaussian Kernel. We computed exploratory whole brain analyses as well as region of interest (ROI) analyses. The ROI contained the bilateral hippocampi and bilateral insulae and was created using the WFU Pickatlas software (Maldjian et al., 2003) and based on the parcellation of Tzourio-Mazoyer et al. (2002). A paired t-test within the MBSR group was first performed in SPM5, in order to identify those brain regions with significantly increased gray matter concentration following participation in the MBSR program. Since our ROI analysis was spatially focused, we chose to correct for multiple comparisons within the ROI (bilateral hippocampi and insulae) using the voxelwise method implemented in SPM5. Given the very large number of voxels in the whole brain analysis, a voxel-wise method for preventing false positives seemed too conservative and leads to a substantial loss of statistical power (Forman et al., 1995; Friston et al., 1996). We therefore chose to use a cluster-wise method for the exploratory whole brain analysis and corrected for multiple comparisons across the entire brain using the method implemented in SPM5 (Friston et al., 1994). In order to exceed the threshold of Pb0.05, clusters had to exceed a size of 250 voxels. Statistical parametric maps were initially thresholded with P= 0.01, uncorrected. Pvaluesb0.05, corrected for multiple comparisons, were considered significant for both the exploratory whole brain analysis as well as the ROI analysis. Following the paired t-test within the MBSR group, follow-up tests were then conducted within the identified regions to test for significance compared with the control group. Values from the identified clusters were extracted for each person and each timepoint using the Marsbar toolbox (Brett et al., 2002). A repeated measures analysis of variance (ANOVA) was then performed for each cluster in the Statistical Package for the Social Sciences (SPSS), with group (MBSR and control group) as the between-subjects factor and time-point (Pre and Post) as the within-subjects factor. Since groups were not identical in age and gender, these variables were controlled by entering them as nuisance variables.

MBSR participants reported spending an average of 22.6 h (S.D.: 6.3 h) engaged in formal homework exercises over the 8-week course (average=27 min per day). In detail, the amount of body scan practice ranged between 335 and 1002 min (mean: 699 min, S.D.: 217 min), yoga between 103 and 775 min (mean: 327 min, S.D.: 194 min), and sitting meditation between 0 and 755 min (mean: 332 min, S.D.: 211 min). The three measures were not significantly correlated with each other: body scan and yoga: r=−0.042, P=0.87; body scan and sitting: r=−0.26, P=0.33; yoga and sitting: r=0.49, P=0.06, N=16.

Repeated measures ANOVAs confirmed significant group-by-time interactions for three of the five mindfulness subscales (acting with awareness: F (1,26)=16.87, Pb0.001; observing: F (1,26)=7.09, P= 0.013; non-judging: F (1,26)= 4.61, P= 0.041; describing: F (1,26)=1.95, P=0.175; non-reactivity: F (1,26)=2.79, P=0.107). Paired t-tests confirmed significant increases in the MBSR group (acting with awareness: t (13)=3.665, P=0.003; observing: t (13)=4.218, P=0.001; non-judging: t (13)=3.580, P=0.003), but not the control group (observing: t (13)=−0.698, P=0.498; acting with awareness: t (13)=−1.991, P=0.068; non-judging: t (13)=0.657, P=0.523; twotailed). That is, MBSR participants significantly increased their mindfulness scores on these three scales.

The paired t-test within the MBSR group identified a small cluster in the left hippocampus with increased gray matter concentration (peak voxel MNI coordinates x, y, z: −36, −34, −8; t (15)= 6.89; voxel level P= 0.014, corrected for multiple comparisons with FWE correction; cluster size k= 30; Fig. 1). The averaged gray matter concentration within this cluster was then extracted for each individual at each time-point using the Marsbar toolbox and further analyses were performed in SPSS. A repeated measures ANOVA (two groups×two time-points; age and gender as nuisance variables) showed a significant group×time interaction (F (1,29)= 4.92; P= 0.035). There was no difference in gray matter concentration within this cluster between the two groups at the Pre time-point (2-sample t-test for equal variances; t (31)= 0.06; P= 0.956) and the control group did not show a change in gray matter concentration from the Pre to Post time-point (paired t-test; t (16)= 0.343; P= 0.736). Pre to Post changes in the other regions of interest were not significant, and changes in the a priori regions were also not correlated with the amount of mindfulness homework practice or with changes in the FFMQ. Furthermore, we performed a paired t-test within the control group in SPM5 and applied the same thresholds. No significant voxels were associated with increase or decrease in gray matter concentration from Pre to Post in the control group. To summarize, analyses of gray matter concentration changes in the ROI analysis supported significant increases in the left hippocampus in the MBSR group, confirming that structural changes in this region are detectable within 8 weeks following the participation in this mindfulness training program.

Exploratory analysis of the entire brain (paired t-test in SPM5) revealed four clusters with significantly greater gray matter concentration at the Post compared with the Pre time-point in the MBSR group (Table 2). One cluster was located in the posterior cingulate cortex (PCC; Figs. 2A and 3A), one in the left temporoparietal junction (TPJ; Figs. 2B and 3B), and two clusters were located in the cerebellum (Figs. 2A and C, 3C and D). One of the two clusters identified in the cerebellum was centered in the vermis and extended into the brainstem, encompassing several pontine nuclei in the brainstem. The second cerebellar cluster was located more laterally, including parts of the left lobule X and VIII, i.e., lateral parts of the posterior and flocculonodular lobe. No regions showed a significant decrease in gray matter concentration following the MBSR intervention. For each of the four clusters, the averaged values were then extracted for each individual and each time-point using the Marsbar toolbox (Brett et al., 2002), and repeated measures ANOVAs (two groups×two time-points), with age and gender entered as nuisance variables, were performed in SPSS. Group×time interactions were significant for all four regions, indicating that increases in gray matter concentration were significantly greater in the MBSR than in the control group: PCC (F (1,29)=50.124; Pb0.001), TPJ (F (1,29)=11.456; P = 0.002), cerebellar vermis/brainstem (F (1,29)= 11.292; P=0.002), lateral cerebellum (F (1,29)=9.806; P=0.004). Change in gray matter concentration in the control group was not significant for the clusters in the TPJ (t (16)=−0.87; P= 0.40), cerebellar vermis (t (16)=−0.15; P= 0.88), or lateral cerebellum (t (16)= 0.273; P= 0.79), but there was a decrease in the PCC cluster (t (16)=−4.121; P= 0.001). Independent sample t-tests (with equal variances) at the Pre time-point indicated that the groups did not differ in gray matter concentration in the PCC (t (31)= 0.24; P= 0.81), TPJ (t (31)= 0.85; P= 0.40) and the lateral cerebellum (t (31)= −1.41; P= 0.17), but the control group had greater gray matter concentration in the cerebellar vermis cluster (t (31)= 2.84; P= 0.008). The amount of homework practice and the change in mindfulness scores (FFMQ) were not correlated with changes in the identified clusters. Furthermore, we performed a paired t-test within the control group in SPM5 and applied the same thresholds. No significant clusters were identified to increase or decrease in gray matter concentration from Pre to Post in the control group. To summarize, exploratory analyses identified increases in gray matter concentration in regions in the PCC, TPJ, and cerebellum in the MBSR, but not the control group over the 8-week period, suggesting that participation in an MBSR course causes structural changes in these brain regions.

This study demonstrates longitudinal changes in brain gray matter concentration following an 8-week Mindfulness-Based Stress Reduction course compared with a control group. Hypothesized increases in gray matter concentration within the left hippocampus were confirmed. Exploratory whole brain analyses identified significant increases in gray matter concentration in the PCC, TPJ, and the cerebellum. The hippocampus has been postulated to play a central role in mediating some of the benefits of meditation, due to its involvement in the modulation of cortical arousal and responsiveness (Newberg and Iversen, 2003), and morphological differences between meditators and non-meditators in the hippocampus have previously been reported (Hölzel et al., 2008; Luders et al., 2009). The hippocampus also contributes to the regulation of emotion (Corcoran and Maren, 2001; Corcoran et al., 2005; Milad et al., 2007) and the structural changes in this area following mindfulness practice may reflect improved function in regulating emotional responding. In contrast to these increases, several pathological conditions (e.g., major depression (Sheline, 2000), post-traumatic stress disorder (Kasai et al., 2008)) are associated with decreased density or volume of the hippocampus. And while the precise mechanisms of hippocampal volume decrease are not known, a number of factors such as neuronal loss through chronic hypercortisolemia, glial cell loss, stress-induced reduction in neurotrophic factors, or stress-induced reduction in neurogenesis may contribute to this (Sheline, 2000). Furthermore, smaller hippocampi have also been shown to constitute a risk factor for the development of stress-related psychopathology (Gilbertson et al., 2002). However, the hippocampus is a region well known for its ability to remodel synapses and generate new neurons (Gage, 2002), and volume loss in this region seems to be reversible (Gould et al., 2000; Jacobs et al., 2000). For example, treatment with selective serotonin reuptake inhibitors (SSRIs)– aside from improvement of stress disorder symptoms – has been found to lead to an increase in hippocampal volume (Vermetten et al., 2003) and it has been suggested that some of the behavioral effects of antidepressant treatment might depend on neurogenesis in the hippocampus (Santarelli et al., 2003). Future research will be needed to investigate whether similar neural mechanisms contribute to improvements in mental health following a medication-free behavioral intervention. We previously reported that changes in perceived stress were correlated with structural changes in the amygdala in a study that included subjects in the present study, and changes in stress were not correlated with changes in the hippocampus (Hölzel et al., 2009). However, the structural changes in the hippocampus identified here might be related to improvements in one of the other well-beingrelated variables that have been reported to improve following participation in an MBSR course. The insula is known to be impacted in interoceptive/visceral awareness (Critchley et al., 2004) as well as in empathic responses (Singer et al., 2004). More generally, a recent review points to the fundamental role of the insula in human awareness, or consciousness (Craig, 2009). Given that mindfulness meditation constitutes training in interoception and conscious awareness, and based on the findings of previous studies which described functional as well as morphological differences in the insula between meditators and nonmeditators (Lazar et al., 2005; Hölzel et al., 2008; Lutz et al., 2008), we hypothesized structural increases in the current study. However, the Pre–Post comparison within the MBSR group was not significant. It is possible that greater amounts of practice are required to produce structural changes in this region. It is also possible that previously identified differences between meditators and non-meditators were unrelated to the meditation training, but rather pre-existing. Furthermore, a recent study revealed that meditators did not show superior performance in an interoceptive task (Khalsa et al., 2008), challenging the assumption that enhanced cortical thickness and functional activation in the insula in meditators are related to better interoceptive awareness. Future studies that include a longer training program and assess interoceptive awareness Pre and Post intervention could help address these contradictory findings It has been suggested that the TPJ is a crucial structure for the conscious experience of the self, mediating spatial unity of self and body (Blanke et al., 2005), or embodiment (Arzy et al., 2006), and impaired processing at the TPJ may lead to the pathological experience of the self, such as disembodiment or out-of-body experiences (Blanke et al., 2005). Furthermore, the TPJ is also involved in social cognition, i.e., the ability to infer states such as desires, intentions, and goals of other people (Van Overwalle, 2009) and there is evidence of greater activation of this region during feelings of compassion in meditators (Lutz et al., 2008). Mindfulness training involves both the establishment of an awareness of oneself as a ‘complete whole’ (Kabat-Zinn, 1990), and the cultivation of compassion. The morphological changes in the TPJ might be associated with increases in compassion attributed to meditation training (Shapiro et al., 2005) and the cultivation of an embodied self. Correspondingly, several studies suggest that the PCC is engaged when assessing the relevance or significance of a stimulus for oneself (Gusnard et al., 2001; Schmitz and Johnson, 2007) and it has been suggested to be particularly important for the integration of selfreferential stimuli in the emotional and autobiographical context of one's own person (Northoff and Bermpohl, 2004). These functions also are closely related to mindfulness practice, which involves the introspective observation of phenomenal experiences as they are encountered (Kabat-Zinn, 1990). Structural increases might be related to the repeated activation of this region during this process. Interestingly, the hippocampus, TPJ, and PCC (as well as parts of the medial prefrontal cortex not identified in the present study) form a brain network (Vincent et al., 2006) that supports diverse forms of selfprojection (Buckner and Carroll, 2007), including remembering the past, thinking about the future (Schacter et al., 2007), and conceiving the viewpoint of others (Saxe and Kanwisher, 2003). These abilities have been suggested to share a common set of processes, by which autobiographical information is used adaptively to enable the perception of alternative perspectives (Buckner and Carroll, 2007). Literature on the mechanisms of mindfulness proposes that the positive benefits of the practice might be mediated by a perceptual shift that modulates the internal representation of the self (Shapiro et al., 2006; Carmody, 2009) and it is possible that structural changes in the brain network involved in the projection of oneself into another perspective may underlie this perceptual shift. One of the two extensive clusters identified in the cerebellum was located in lateral parts of the posterior and flocculonodular lobe, and the other one was located in the vermis, reaching into the brainstem. Aside from the well-known function of the cerebellum in the integration of sensory perception, coordination, and motor control (Marr, 1969), this structure also plays a crucial role in the regulation of emotion and cognition. Lesions of the cerebellum have been found to lead to a constellation of cognitive, affective and behavioral abnormalities, the so-called “cerebellar cognitive affective syndrome” (Schmahmann et al., 2007). It has been suggested that in the same way that the cerebellum regulates the rate, force, rhythm, and accuracy of movements, it also regulates the speed, capacity, consistency, and appropriateness of cognitive and emotional processes (Schmahmann, 2004), i.e., it modulates behavior automatically around a homeostatic baseline. Given the importance that the regulation of emotions and cognition play in healthy psychological functioning, the morphological changes in these regions might contribute to the positive effects of mindfulness meditation on the salutary changes in well-being.

Regions within the brainstem were found to increase in gray matter concentration over the 8 weeks. These regions appear to include the area of the locus coeruleus, nucleus raphe pontis, pontine tegmentum, and the sensory trigeminal nucleus (Naidlich et al., 2009). The regions of gray matter differences between meditators and non-meditators in the cerebellum and brainstem identified by Vestergaard-Poulsen et al. (2009) do not appear to overlap with the ones identified here. The locus coeruleus is the site of synthesis and release of the neurotransmitter norephinephrine, while the raphe nuclei release serotonin. The modulation of the serotonin system has been profoundly effective for the treatment of a wide range of mood and anxiety disorders, as evidenced by the widespread use of SSRIs (Masand and Gupta, 1999). The norephinephrine system of the locus coeruleus is thought to optimize behavioral performance by modulating arousal, regulating the interplay between focused vs. flexible responding to environmental demands, or selective vs. scanning attention (Aston-Jones et al., 2000; Aston-Jones and Cohen, 2005). Considerable evidence exists that the neurons of this system are important in a variety of cognitive, affective, and other behavioral functions, as well as associated clinical dysfunctions (e.g., depression, anxiety, sleep, and circadian disorders; for discussion, see AstonJones, 2002). It is also one of the primary sites for the mediation of the stress response as well as a site of action of antidepressant drugs (Brady, 1994). Several studies have documented the positive impact of mindfulness-based programs on symptoms of anxiety and depression (Baer, 2003; Kuyken et al., 2008; Roemer et al., 2008), as well as improvements in sleep patterns (Carlson and Garland, 2005; Ong et al., 2009) and attention (Jha et al., 2007). The morphological changes reported here might contribute to some of these enhancements.

While significant Pre–Post changes in the TPJ, PCC, and cerebellum have been found in the present study, it is unclear why previous crosssectional studies of meditators have not identified group differences in these regions. It is possible that small differences existed but were not detected due to the lack of power in the previous small crosssectional studies, or that structural changes are transient and change might be maximal when a skill is newly acquired (Driemeyer et al., 2008). It should be noted also that MBSR is a multifaceted group program and some positive effects may result from components not specific to meditation or mindfulness, such as group social interaction, stress education, or gentle stretching exercises. Exercise is known to increase neurogenesis in the hippocampus (van Praag et al., 1999). Since it also plays a crucial role in long-term memory consolidation and learning, structural changes might be related to general learning that occurred during the MBSR course analogous to those found in a study of medical students learning new information (Draganski et al., 2006). Comparing the brain gray matter concentration changes in the MBSR group to those of a wait-list control group, the current study did not allow differentiating between the effects of these different components. Indeed, the absence of a positive correlation between the change in gray matter concentration and the amount of homework suggests that the number of minutes of formal homework exercise is not the primary driving force behind the effects, but that the MBSR program as a whole influences the morphological changes. Future studies employing an active control condition that includes the mindfulness-nonspecific components of the program (e.g., MacCoon et al., 2008) would help isolate the specific effects of meditation. Also, the current study investigated physician- and self-referred individuals seeking stress reduction, and generalizations should therefore be limited to this population of stress individuals. Future studies will be required to test whether findings extend to non-stressed individuals as well as individuals suffering from mental disorders. Finally, the current study employed a rather small sample size and replication is necessary.

The adult nervous system has the capacity for plasticity, and the structure of the brain can change in response to training (Gage, 2002; Draganski et al., 2004; Colcombe et al., 2006; Driemeyer et al., 2008). It is generally assumed that the increased gray matter results from repeated activation of a brain region (May et al., 2007; Ilg et al., 2008) and previous studies have shown activation during meditation in brain regions identified here (Lou et al., 1999; Lazar et al., 2000; Newberg et al., 2001; Hölzel et al., 2007; Lutz et al., 2008). The cellular mechanisms underlying training-induced neuroanatomical plasticity are not yet understood, however. An extensive body of research during the last decade has established that MBSR leads to improvements in psychological health and well-being (Grossman et al., 2004; Carmody et al., 2009). Demonstrating morphological increases in regions associated with mental health, the data presented here suggest a plausible underlying neural mechanism, namely, that such increases represent enduring changes in brain structure that could support improved mental functioning. Knowledge of the neurobiological mechanisms of behavioral interventions is indispensable to their effective and targeted use.