Rona Hannah Haker1, Ricardo Tarrasch2, Salomon Benhamou3, Gal Mircus3, Dvir Radunsky3, Tamar Blumenfeld-Katzir3, and Noam Ben-Eliezer1,3,4
1Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 2School of Education, Tel Aviv University, Tel Aviv, Israel, 3Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, 4Center for Advanced Imaging Innovation and Research, New York University Langone Medical Center, New York, NY, United States
Synopsis
Keywords: White Matter, Quantitative Imaging
Motivation: Provide evidence for the positive effect of Mindfulness on sleep quality, and investigate the corresponding neuronal changes in the white matter.
Goal(s): Quantify the improvement in sleep quality following Mindfulness meditation in subjects suffering from sleep disorders, and correlate these to change in quantitative T1, T2 and proton-density values.
Approach: Meditation naïve subjects underwent MRI scans and filled sleep-quality questionnaires before and after participating in an 8-week MBSR course. Waitlist control group was scanned at the same time-points without intervention.
Results: Sleep quality improved significantly in the MBSR group, compared to controls. No changes were observed in qMRI values in the white matter.
Impact: Discover the psychological-physiological
mechanism underlying the improvement of sleep following mindfulness practice;
introduce new ways to study the effects of mindfulness; advance better and more
personalized treatment plans for insomnia/sleep disorders.
Introduction
Current
estimations put the prevalence of people suffering from ongoing sleep disorders
at 10-25% of the global adult population1,2, the most common being
Insomnia – impaired sleep initiation, interrupted sleep and/or sleep lightness.
Mindfulness is defined as the nonjudgmental awareness to the present experience
and has been repeatedly shown to improve sleep quality3,4. The
effects of Mindfulness meditation on the brain have been investigated mostly using
fMRI and basic brain morphology5-7.
Quantitative
MRI (qMRI) has the ability to quantify subtle microscopic changes in brain
microstructure and may therefore provide a more sensitive tool for studying the
effects of meditation on the brain.
Here, we
employed a new qMRI protocol8, for probing neuronal changes in
people with sleep disorders, before and after participating in an 8-weeks mindfulness-based
stress reduction (MBSR) course.Methods
Population: Forty-three meditation naive subjects with
poor sleep quality were randomly assigned to either experimental (MBSR) or
waitlist control (WL) groups.
MBSR course: MBSR group participated in an 8-weeks course,
passed by a qualified instructor.
ISI questionnaire9: were filled pre (t1) and post (t2) MBSR course.
MRI scans: were done on a 3T Prisma scanner (Siemens
Healthineers) under IRB (SMC-3933-17) pre (t1) and post (t2) MBSR course. Scans
and parameters are listed in Table 1 and included
MP2RAGE for anatomical segmentation, EPI and SPGR for quantitative T1 (qT1),
and a MESE protocol for quantitative T2 (qT2) and proton density (PD)
mapping.
Data processing: qT1 maps were generated using the mrQ software10.
qT2 and PD maps were generated from MESE data using the EMC algorithm11,12.
Statistical analysis: The white matter (WM) was chosen as the region of interest
due to its plasticity and based on evidence of WM changes induced by long term routine practice
of meditation13,14. WM masks were segmented using Freesurfer
software. Mean, standard deviation (SD), median, skewness and kurtosis were
calculated for the WM region in each qMRI map, to a total of 15 statistical
features. Repeated measures ANOVAs were performed for the within-subject factor
of time (t1 vs. t2), and the between-subject factor of group (WL vs. MBSR). Analysis
was repeated for each statistical feature.Results
Representative T1, T2, and PD maps
are shown in Figure 1 for a single subject. Figure 2 presents the change in sleep quality for
the MBSR and control groups based on the self-reported sleep quality ISI score9 (lower ISI score corresponds to better sleep quality). Repeated measures ANOVA
produced significant Time x Group interaction (p < 0.001), while tukey
post-hoc within-group comparisons revealed a significant elevation in sleep
quality in the MBSR group (p < 0.001, Cohen’s d = 0.86), with
no significant difference in the control group (p = 0.99).
Repeated measures
ANOVA of Group x Time interaction of quantitative values in the white matter is
shown in Table 2 for the three examined maps
(T1, T2 and PD). No significant interaction was found in this case using either
of the statistical metrics (p-values > 0.05), indicating lack of consistent
change in qMRI values for both groups pre- / post- MBSR course.
Histograms of WM qMRI
values are shown in Figure 3 for representative
subjects from the MBSR and control groups. Visual inspection reveals similar
positive / negative changes in the range of values for both groups, with no
apparent correlation to the change in ISI scores (∆ ISI).Discussion
This study demonstrates
the effectiveness of MBSR training as an approach for rapid and efficient
intervention for sleep disorders. The absence of detectable structural changes in
the brain within the study's timeframe can be attributed to the unique nature
of MBSR training, i.e.,
the high variability between training regimes of each individual, and the lack
of repetitive, spatially localized brain activity15. The observed
enhancement in sleep quality provides a strong indication for the
presence of neurobiological changes, albeit possibly too subtle to observe.
These findings emphasize the need for further research to uncover these
intricate mechanisms
using either additional contrasts or more localized and region-specific
investigations.Acknowledgements
No acknowledgement found.References
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