Abstract
The phenomenologyand reported effects of meditation vary according to the technique practiced.While numerous studies have
explored the cerebral mechanisms involved inmeditation, little research provides direct comparisons between the
neuronalnetwork dynamics involved in different meditation techniques. Here, we exploreand compare brain signals recorded
with magnetoencephalography (MEG) during (a)resting state, (b) focused-attention meditation (FAM) and (c)
open-monitoringmeditation (OMM) in a group of expert meditators (12 monks).To this end, weestimated MEG source time
courses using a minimum-norm solution and computed (1)spectral power in multiple frequency bands (delta, theta, alpha, beta
andgamma), (2) graph theoretical measures, (3) long-range coupling using imaginarycoherence and weighed phase-lag index and
(4) multifractal scaling parameters using Wavelet Leader-based Multifractal formalism. We compared all the measures in the
three conditions(OMM, FAM and resting state) and tested for statistical significance using permutationtest (paired t-test)
corrected by maximum statistics. We also used a machinelearning framework in order to see which features provide the
highestclassification across conditions. Our findings reveal several differencesbetween FAM, OMM and the resting-state
condition. Compared to OMM, FAM isassociated with an increase in power in regions involved in attention andperformance
monitoring. In OMM, increases in activity were observed in regionsinvolved in memory and emotion processing. Moreover,
OMM seems to have strongestand more connections, while resting state have connections that are weaker andfewer in number
compared to OMM and FAM. We discuss these results in thecontext of previous cognitive neuroimaging studies of meditation
and paths forfuture research are proposed.
Anno
2016
Autori IAC
Tipo pubblicazione
Altri Autori
Daphn BertrandDubois , David Meunier , Annalisa Pascarella , Tarek Lajnef , Vittorio Pizzella , Laura Marzetti , and
Karim Jerbi
Karim Jerbi