Dataset Information

BOLD signal and functional connectivity associated with loving kindness meditation.

ABSTRACT: Loving kindness is a form of meditation involving directed well-wishing, typically supported by the silent repetition of phrases such as "may all beings be happy," to foster a feeling of selfless love. Here we used functional magnetic resonance imaging to assess the neural substrate of loving kindness meditation in experienced meditators and novices. We first assessed group differences in blood oxygen level-dependent (BOLD) signal during loving kindness meditation. We next used a relatively novel approach, the intrinsic connectivity distribution of functional connectivity, to identify regions that differ in intrinsic connectivity between groups, and then used a data-driven approach to seed-based connectivity analysis to identify which connections differ between groups. Our findings suggest group differences in brain regions involved in self-related processing and mind wandering, emotional processing, inner speech, and memory. Meditators showed overall reduced BOLD signal and intrinsic connectivity during loving kindness as compared to novices, more specifically in the posterior cingulate cortex/precuneus (PCC/PCu), a finding that is consistent with our prior work and other recent neuroimaging studies of meditation. Furthermore, meditators showed greater functional connectivity during loving kindness between the PCC/PCu and the left inferior frontal gyrus, whereas novices showed greater functional connectivity during loving kindness between the PCC/PCu and other cortical midline regions of the default mode network, the bilateral posterior insula lobe, and the bilateral parahippocampus/hippocampus. These novel findings suggest that loving kindness meditation involves a present-centered, selfless focus for meditators as compared to novices.

SUBMITTER: Garrison KA

PROVIDER: S-EPMC4055184 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

BOLD signal and functional connectivity associated with loving kindness meditation.

Garrison Kathleen A KA Scheinost Dustin D Constable R Todd RT Brewer Judson A JA

Brain and behavior 20140212 3

Loving kindness is a form of meditation involving directed well-wishing, typically supported by the silent repetition of phrases such as "may all beings be happy," to foster a feeling of selfless love. Here we used functional magnetic resonance imaging to assess the neural substrate of loving kindness meditation in experienced meditators and novices. We first assessed group differences in blood oxygen level-dependent (BOLD) signal during loving kindness meditation. We next used a relatively nove ...[more]

PMID: 24944863

Similar Datasets

Project description:While a very few studies have been conducted on classifying loving kindness meditation (LKM) and non-meditation electroencephalography (EEG) data for a single session, there are no such studies conducted for multiple session EEG data. Thus, this study aims at classifying existing raw EEG meditation data on single and multiple sessions to come up with meaningful inferences which will be highly beneficial when developing algorithms that can support meditation practices. In this analysis, data have been collected on Pre-Resting (before-meditation), Post-Resting (after-meditation), LKM-Self and LKM-Others for 32 participants and hence allowing us to conduct six pairwise comparisons for the four mind tasks. Common Spatial Patterns (CSP) is a feature extraction method widely used in motor imaginary brain computer interface (BCI), but not in meditation EEG data. Therefore, using CSP in extracting features from meditation EEG data and classifying meditation/non-meditation instances, particularly for multiple sessions will create a new path in future meditation EEG research. The classification was done using Linear Discriminant Analysis (LDA) where both meditation techniques (LKM-Self and LKM-Others) were compared with Pre-Resting and Post-Resting instances. The results show that for a single session of 32 participants, around 99.5% accuracy was obtained for classifying meditation/Pre-Resting instances. For the 15 participants when using five sessions of EEG data, around 83.6% accuracy was obtained for classifying meditation/Pre-Resting instances. The results demonstrate the ability to classify meditation/Pre-Resting data. Most importantly, this classification is possible for multiple session data as well. In addition to this, when comparing the classification accuracies of the six mind task pairs; LKM-Self, LKM-Others and Post-Resting produced relatively lower accuracies among them than the accuracies obtained for classifying Pre-Resting with the other three. This indicates that Pre-Resting has some features giving a better classification indicating that it is different from the other three mind tasks.

Project description:ImportanceAdditional options are needed for treatment of posttraumatic stress disorder (PTSD) among veterans.ObjectiveTo determine whether group loving-kindness meditation is noninferior to group cognitive processing therapy for treatment of PTSD.Design, setting, and participantsThis randomized clinical noninferiority trial assessed PTSD and depression at baseline, posttreatment, and 3- and 6-month follow-up. Veterans were recruited from September 24, 2014, to February 5, 2018, from a large Veternas Affairs medical center in Seattle, Washington. A total of 184 veteran volunteers who met Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) criteria for PTSD were randomized. Data collection was completed November 28, 2018, and data analyses were conducted from December 10, 2018, to November 5, 2019.InterventionsEach intervention comprised 12 weekly 90-minute group sessions. Loving-kindness meditation (n = 91) involves silent repetition of phrases intended to elicit feelings of kindness for oneself and others. Cognitive processing therapy (n = 93) combines cognitive restructuring with emotional processing of trauma-related content.Main outcomes and measuresCo-primary outcomes were change in PTSD and depression scores over 6-month follow-up, assessed by the Clinician-Administered PTSD Scale (CAPS-5; range, 0-80; higher is worse) and Patient-Reported Outcome Measurement Information System (PROMIS; reported as standardized T-score with mean [SD] of 50 [10] points; higher is worse) depression measures. Noninferiority margins were 5 points on the CAPS-5 and 4 points on the PROMIS depression measure.ResultsAmong the 184 veterans (mean [SD] age, 57.1 [13.1] years; 153 men [83.2%]; 107 White participants [58.2%]) included in the study, 91 (49.5%) were randomized to the loving-kindness group, and 93 (50.5%) were randomized to the cognitive processing group. The mean (SD) baseline CAPS-5 score was 35.5 (11.8) and mean (SD) PROMIS depression score was 60.9 (7.9). A total of 121 veterans (66%) completed 6-month follow-up. At 6 months posttreatment, mean CAPS-5 scores were 28.02 (95% CI, 24.72-31.32) for cognitive processing therapy and 25.92 (95% CI, 22.62-29.23) for loving-kindness meditation (difference, 2.09; 95% CI, -2.59 to 6.78), and mean PROMIS depression scores were 61.22 (95% CI, 59.21-63.23) for cognitive processing therapy and 58.88 (95% CI, 56.86-60.91) for loving-kindness meditation (difference, 2.34; 95% CI, -0.52 to 5.19). In superiority analyses, there were no significant between-group differences in CAPS-5 scores, whereas for PROMIS depression scores, greater reductions were found for loving-kindness meditation vs cognitive processing therapy (for patients attending ≥6 visits, ≥4-point improvement was noted in 24 [39.3%] veterans receiving loving-kindness meditation vs 9 (18.0%) receiving cognitive processing therapy; P = .03).Conclusions and relevanceAmong veterans with PTSD, loving-kindness meditation resulted in reductions in PTSD symptoms that were noninferior to group cognitive processing therapy. For both interventions, the magnitude of improvement in PTSD symptoms was modest. Change over time in depressive symptoms was greater for loving-kindness meditation than for cognitive processing therapy.Trial registrationClinicaltrials.gov Identifier: NCT01962714.

Project description:In this study, we aimed to demonstrate whether spontaneous fluctuations in the blood oxygen level dependent (BOLD) signal derived from resting state functional magnetic resonance imaging (fMRI) reflect spontaneous neuronal activity in pathological brain regions as well as in regions spared by epileptiform discharges. This is a crucial issue as coherent fluctuations of fMRI signals between remote brain areas are now widely used to define functional connectivity in physiology and in pathophysiology. We quantified functional connectivity using non-linear measures of cross-correlation between signals obtained from intracerebral EEG (iEEG) and resting-state functional MRI (fMRI) in 5 patients suffering from intractable temporal lobe epilepsy (TLE). Functional connectivity was quantified with both modalities in areas exhibiting different electrophysiological states (epileptic and non affected regions) during the interictal period. Functional connectivity as measured from the iEEG signal was higher in regions affected by electrical epileptiform abnormalities relative to non-affected areas, whereas an opposite pattern was found for functional connectivity measured from the BOLD signal. Significant negative correlations were found between the functional connectivities of iEEG and BOLD signal when considering all pairs of signals (theta, alpha, beta and broadband) and when considering pairs of signals in regions spared by epileptiform discharges (in broadband signal). This suggests differential effects of epileptic phenomena on electrophysiological and hemodynamic signals and/or an alteration of the neurovascular coupling secondary to pathological plasticity in TLE even in regions spared by epileptiform discharges. In addition, indices of directionality calculated from both modalities were consistent showing that the epileptogenic regions exert a significant influence onto the non epileptic areas during the interictal period. This study shows that functional connectivity measured by iEEG and BOLD signals give complementary but sometimes inconsistent information in TLE.

Dataset Information

BOLD signal and functional connectivity associated with loving kindness meditation.

Publications

BOLD signal and functional connectivity associated with loving kindness meditation.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets