Unknown

Dataset Information

0

The Age-Well observational study on expert meditators in the Medit-Ageing European project.


ABSTRACT: Introduction:The Age-Well observational, cross-sectional study investigates the affective and cognitive mechanisms of meditation expertise with behavioral, neuroimaging, sleep, and biological measures sensitive to aging and Alzheimer's disease (AD). Methods:Thirty cognitively unimpaired individuals aged 65 years or older with at least 10,000 hours of practice in mindfulness meditation (MM) and loving-kindness and compassion meditation (LKCM) are selected. The outcomes are the neuroimaging brain correlates of MM and LKCM and the assessments of long-term meditation practices on behavioral, neural, and biological measures as compared to nonmeditator older controls from the Age-Well randomized controlled trial. Results:Recruitment and data collection began in late 2016 and will be completed by late 2019. Discussion:Results are expected to foster the understanding of the effects of meditation expertise on aging and of the mechanisms of action underlying the meditation intervention in the Age-Well randomized controlled trial. These finding will contribute to the design of meditation-based prevention randomized controlled trials for the aged population and to the exploration of the possible long-time developmental trajectory of meditation training.

SUBMITTER: Lutz A 

PROVIDER: S-EPMC6300614 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

altmetric image

Publications


<h4>Introduction</h4>The Age-Well observational, cross-sectional study investigates the affective and cognitive mechanisms of meditation expertise with behavioral, neuroimaging, sleep, and biological measures sensitive to aging and Alzheimer's disease (AD).<h4>Methods</h4>Thirty cognitively unimpaired individuals aged 65 years or older with at least 10,000 hours of practice in mindfulness meditation (MM) and loving-kindness and compassion meditation (LKCM) are selected. The outcomes are the neur  ...[more]

Similar Datasets

| S-EPMC5578985 | biostudies-literature
| S-EPMC6296161 | biostudies-literature
| S-EPMC4039194 | biostudies-other
| S-EPMC5539926 | biostudies-other
| S-EPMC3787201 | biostudies-literature
| S-EPMC8190237 | biostudies-literature
| S-EPMC4819773 | biostudies-literature
| PRJEB43178 | ENA
| PRJEB49124 | ENA
| S-EPMC7455200 | biostudies-literature