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@ARTICLE{Haudry:280424,
      author       = {Haudry, Sacha and Dautricourt, Sophie and Gonneaud, Julie
                      and Landeau, Brigitte and Calhoun, Vince Daniel and de
                      Flores, Robin and Poisnel, Geraldine and Bougacha, Salma and
                      Kuhn, Elizabeth and Touron, Edelweiss and Chauveau, Léa and
                      Felisatti, Francesca and Palix, Cassandre and Vivien, Denis
                      and de la Sayette, Vincent and Lutz, Antoine and Chételat,
                      Gaël},
      title        = {{E}ffects of an 18-month meditation training on dynamic
                      functional connectivity states in older adults: {S}econdary
                      analyses from the {A}ge-{W}ell randomized controlled trial.},
      journal      = {Imaging neuroscience},
      volume       = {3},
      issn         = {2837-6056},
      address      = {Cambridge, MA},
      publisher    = {MIT Press},
      reportid     = {DZNE-2025-00951},
      pages        = {IMAG.a.33},
      year         = {2025},
      abstract     = {Meditation training in older adults has been proposed as a
                      non-pharmacological intervention to promote healthy aging
                      and lower the risks of developing Alzheimer's disease (AD).
                      Resting-state dynamic functional network connectivity (dFNC)
                      highlighted two brain states, the 'strongly connected' and
                      'default mode network (DMN)-negatively connected' states,
                      associated with protective factors for dementia including
                      AD, and two states, the 'weakly connected' and
                      'salience-negatively connected' states, associated with risk
                      factors for dementia. In this study, we aimed at assessing
                      the impact of an 18-month meditation training on dFNC states
                      in older adults. One hundred and thirty-five healthy older
                      adults were randomized (1:1:1) to 18-month meditation
                      training, 18-month non-native language training, or no
                      intervention. dFNC of the DMN, salience, and executive
                      control networks was assessed in 124 individuals using a
                      sliding window framework, and states were obtained by
                      k-means clustering. Linear mixed models evaluated the change
                      in time spent in different connectivity 'states' and the
                      number of transitions between states for each group and
                      between groups. Only participants in the meditation group
                      transitioned significantly more between states (p = 0.008, d
                      = 0.52), with a significant between-group difference with
                      the non-native language training group (p = 0.001).
                      Moreover, only the meditation group showed a change in time
                      spent in specific states, spending less time in the 'weakly
                      connected' state (p = 0.009, d = -0.44) and more time in the
                      'strongly connected' state (p = 0.03, d = 0.46), but there
                      was no difference between groups. Brain states at rest were
                      significantly impacted by an 18-month meditation
                      intervention, with increased number of transitions between
                      states, an increased time spent in the 'strongly connected'
                      state, and decreased time spent in the 'weakly connected'
                      state. While only the first change differed significantly
                      between groups, these results suggest a beneficial effect of
                      meditation through a reduction in dFNC metrics associated
                      with AD risk factors and an increase in dFNC metrics
                      associated with protective factors. However, the absence of
                      a significant group-by-time interaction for time spent in
                      states, the small effect sizes, and the fact that the sample
                      size was not powered for this outcome limit the
                      interpretation of the findings. Additionally, unmeasured
                      factors such as genetic predisposition and lifestyle could
                      have influenced the results. Future studies should identify
                      the specific active mechanisms of meditation underlying
                      these effects to optimize interventions. Trial Registration:
                      The Age-Well randomized controlled trial (RCT) was approved
                      by the local ethics committee (CPP Nord-Ouest III, Caen;
                      trial registration number: EudraCT: 2016-002441-36; IDRCB:
                      2016-A01767-44; ClinicalTrials.gov Identifier: NCT02977819;
                      registration date: 2016-11-25).},
      keywords     = {AD protective factors (Other) / AD risk factors (Other) /
                      dynamic functional connectivity (Other) / meditation (Other)
                      / neuroimaging (Other) / non-pharmacological intervention
                      (Other)},
      cin          = {AG Wagner},
      ddc          = {610},
      cid          = {I:(DE-2719)1011201},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40800757},
      pmc          = {pmc:PMC12319754},
      doi          = {10.1162/IMAG.a.33},
      url          = {https://pub.dzne.de/record/280424},
}