Cited by 44Functional Brain Connectivity StudiesMindfulness and Compassion InterventionsMind wandering and attention

Default Mode Network, Meditation, and Age-Associated Brain Changes: What Can We Learn from the Impact of Mental Training on Well-Being as a Psychotherapeutic Approach?

Open access
Ramírez-Barrantes, Ricardo, Arancibia, Marcelo, Stojanova, Jana, Aspé-Sánchez, Mauricio, Córdova, Claudio, Henríquez-Ch, Rodrigo A.·2019·Neural Plasticity

Abstract

Aging is a physiological process accompanied by cognitive decline, principally in memory and executive functions. Alterations in the connectivity of the default mode network (DMN) have been found to participate in cognitive decline, as well as in several neurocognitive disorders. The DMN has antisynchronic activity with attentional networks (task-positive networks (TPN)), which are critical to executive function and memory. Findings pointing to the regulation of the DMN via activation of TPN suggest that it can be used as a strategy for neuroprotection. Meditation is a noninvasive and nonpharmacological technique proven to increase meta-awareness, a cognitive ability which involves the control of both networks. In this review, we discuss the possibility of facilitating healthy aging through the regulation of networks through meditation. We propose that by practicing specific types of meditation, cognitive decline could be slowed, promoting a healthy lifestyle, which may enhance the quality of life for the elderly.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1155/2019/7067592

Cites

47 of 47 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

1 retracted

Flagged first, then by citations

Research works printed but not linked: 113

  1. [2]Marciniak R. Sheardova K. Čermáková P. Hudeček D. Šumec R. Hort J. Effect of meditation on cognitive functions in context of aging and neurodegenerative diseases Frontiers in Behavioral Neuroscience 2014 8 p. 17 10.3389/fnbeh.2014.00017 2-s2.0-84893167304 PMC3903052 24478663 · DOI · Paper page
  2. [3]Schlesinger K. J. Turner B. O. Lopez B. A. Miller M. B. Carlson J. M. Age-dependent changes in task-based modular organization of the human brain NeuroImage 2017 146 741 762 10.1016/j.neuroimage.2016.09.001 2-s2.0-85008645049 27596025 · DOI
  3. [4]La Corte V. Sperduti M. Malherbe C. Cognitive decline and reorganization of functional connectivity in healthy aging: the pivotal role of the salience network in the prediction of age and cognitive performances Frontiers in Aging Neuroscience 2016 8 p. 204 10.3389/fnagi.2016.00204 2-s2.0-84990068749 PMC5003020 27616991 · DOI
  4. [5]Mansouri F. A. Tanaka K. Buckley M. J. Conflict-induced behavioural adjustment: a clue to the executive functions of the prefrontal cortex Nature Reviews Neuroscience 2009 10 2 141 152 10.1038/nrn2538 2-s2.0-58549116709 19153577 · DOI · Paper page
  5. [6]Buckner R. L. Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate Neuron 2004 44 1 195 208 10.1016/j.neuron.2004.09.006 2-s2.0-5344271854 15450170 · DOI · Paper page
  6. [7]Schacter D. L. Kaszniak A. W. Kihlstrom J. F. Valdiserri M. The relation between source memory and aging Psychology and Aging 1991 6 4 559 568 10.1037/0882-7974.6.4.559 1777144 · DOI · Paper page
  7. [9]Tsvetanov K. A. Henson R. N. A. Tyler L. K. Extrinsic and intrinsic brain network connectivity maintains cognition across the lifespan despite accelerated decay of regional brain activation The Journal of Neuroscience 2016 36 11 3115 3126 10.1523/JNEUROSCI.2733-15.2016 2-s2.0-84961262287 26985024 PMC4792930 · DOI
  8. [10]Chaovalitwongse W. A. Won D. Seref O. Network optimization of functional connectivity within default mode network regions to detect cognitive decline IEEE Transactions on Neural Systems and Rehabilitation Engineering 2017 25 7 1079 1089 10.1109/TNSRE.2017.2679056 2-s2.0-85029576908 28287976 PMC5854195 · DOI
  9. [11]Corbetta M. Patel G. Shulman G. L. The reorienting system of the human brain: from environment to theory of mind Neuron 2008 58 3 306 324 10.1016/j.neuron.2008.04.017 2-s2.0-42949117916 18466742 PMC2441869 · DOI · Paper page
  10. [13]Corbetta M. Shulman G. L. Control of goal-directed and stimulus-driven attention in the brain Nature Reviews Neuroscience 2002 3 3 201 215 10.1038/nrn755 2-s2.0-0036517313 11994752 · DOI · Paper page
  11. [14]Onoda K. Ishihara M. Yamaguchi S. Decreased functional connectivity by aging is associated with cognitive decline Journal of Cognitive Neuroscience 2012 24 11 2186 2198 10.1162/jocn_a_00269 2-s2.0-84873730020 22784277 · DOI
  12. [15]Song J. Birn R. M. Boly M. Age-related reorganizational changes in modularity and functional connectivity of human brain networks Brain Connectivity 2014 4 9 662 676 10.1089/brain.2014.0286 2-s2.0-84965091101 25183440 PMC4238253 · DOI
  13. [16]Tomasi D. Volkow N. D. Aging and functional brain networks Molecular Psychiatry 2012 17 5 549 558 10.1038/mp.2011.81 2-s2.0-84860207472 21727896 PMC3193908 · DOI · Paper page
  14. [17]Gomez-Ramirez J. Li Y. Wu Q. Wu J. A quantitative study of network robustness in resting-state fMRI in young and elder adults Frontiers in Aging Neuroscience 2016 7 p. 256 10.3389/fnagi.2015.00256 PMC4737864 26869917 · DOI
  15. [18]Ngandu T. Lehtisalo J. Levälahti E. Recruitment and baseline characteristics of participants in the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER)—a randomized controlled lifestyle trial International Journal of Environmental Research and Public Health 2014 11 9 9345 9360 10.3390/ijerph110909345 2-s2.0-84908061134 25211775 PMC4199023 · DOI
  16. [19]Imtiaz B. Tolppanen A.-M. Kivipelto M. Soininen H. Future directions in Alzheimer’s disease from risk factors to prevention Biochemical Pharmacology 2014 88 4 661 670 10.1016/j.bcp.2014.01.003 2-s2.0-84897954480 24418410 · DOI
  17. [23]Sood A. Jones D. T. On mind wandering, attention, brain networks, and meditation Explore 2013 9 3 136 141 10.1016/j.explore.2013.02.005 2-s2.0-84877290681 23643368 · DOI
  18. [24]Khalsa D. S. Stress, meditation, and Alzheimer’s disease prevention: where the evidence stands Journal of Alzheimer's Disease 2015 48 1 1 12 10.3233/JAD-142766 2-s2.0-84941004394 26445019 PMC4923750 · DOI
  19. [25]Greicius M. D. Krasnow B. Reiss A. L. Menon V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis Proceedings of the National Academy of Sciences of the United States of America 2003 100 1 253 258 10.1073/pnas.0135058100 2-s2.0-0037422586 12506194 PMC140943 · DOI · Paper page
  20. [26]Damoiseaux J. S. Rombouts S. A. R. B. Barkhof F. Consistent resting-state networks across healthy subjects Proceedings of the National Academy of Sciences of the United States of America 2006 103 37 13848 13853 10.1073/pnas.0601417103 2-s2.0-33748796093 16945915 PMC1564249 · DOI · Paper page
  21. [27]Raichle M. E. MacLeod A. M. Snyder A. Z. Powers W. J. Gusnard D. A. Shulman G. L. A default mode of brain function Proceedings of the National Academy of Sciences of the United States of America 2001 98 2 676 682 10.1073/pnas.98.2.676 2-s2.0-0035895264 11209064 PMC14647 · DOI · Paper page
  22. [30]Sokoloff L. Mangold R. Wechsler R. L. Kennedy C. Kety S. S. The effect of mental arithmetic on cerebral circulation and metabolism The Journal of Clinical Investigation 1955 34, 7, Part 1 1101 1108 10.1172/JCI103159 14392225 PMC438861 · DOI
  23. [32]Greicius M. D. Srivastava G. Reiss A. L. Menon V. Default-mode network activity distinguishes Alzheimer’s disease from healthy aging: evidence from functional MRI Proceedings of the National Academy of Sciences of the United States of America 2004 101 13 4637 4642 10.1073/pnas.0308627101 2-s2.0-1842427969 15070770 PMC384799 · DOI · Paper page
  24. [33]Bluhm R. L. Miller J. Lanius R. A. Spontaneous low-frequency fluctuations in the BOLD signal in schizophrenic patients: anomalies in the default network Schizophrenia Bulletin 2007 33 4 1004 1012 10.1093/schbul/sbm052 2-s2.0-34547683241 17556752 PMC2632312 · DOI
  25. [34]Delaveau P. Salgado-Pineda P. Fossati P. Witjas T. Azulay J. P. Blin O. Dopaminergic modulation of the default mode network in Parkinson’s disease European Neuropsychopharmacology 2010 20 11 784 792 10.1016/j.euroneuro.2010.07.001 2-s2.0-77957017793 20674286 · DOI
  26. [35]Quarantelli M. Salvatore E. Giorgio S. M. D. A. Default-mode network changes in Huntington’s disease: an integrated MRI study of functional connectivity and morphometry PLoS One 2013 8 8, article e72159 10.1371/journal.pone.0072159 2-s2.0-84904699367 23977239 PMC3747049 · DOI
  27. [36]Neuner I. Werner C. J. Arrubla J. Imaging the where and when of tic generation and resting state networks in adult Tourette patients Frontiers in Human Neuroscience 2014 8 p. 362 10.3389/fnhum.2014.00362 2-s2.0-84901605293 PMC4035756 24904391 · DOI
  28. [38]Sorg C. Riedl V. Muhlau M. Selective changes of resting-state networks in individuals at risk for Alzheimer’s disease Proceedings of the National Academy of Sciences of the United States of America 2007 104 47 18760 18765 10.1073/pnas.0708803104 2-s2.0-36749045805 18003904 PMC2141850 · DOI · Paper page
  29. [39]Hutchison R. M. Mirsattari S. M. Jones C. K. Gati J. S. Leung L. S. Functional networks in the anesthetized rat brain revealed by independent component analysis of resting-state fMRI Journal of Neurophysiology 2010 103 6 3398 3406 10.1152/jn.00141.2010 2-s2.0-77953489846 20410359 · DOI
  30. [40]Sheline Y. I. Barch D. M. Price J. L. The default mode network and self-referential processes in depression Proceedings of the National Academy of Sciences of the United States of America 2009 106 6 1942 1947 10.1073/pnas.0812686106 2-s2.0-60549117293 19171889 PMC2631078 · DOI · Paper page
  31. [41]Simon R. Engström M. The default mode network as a biomarker for monitoring the therapeutic effects of meditation Frontiers in Psychology 2015 6 p. 776 10.3389/fpsyg.2015.00776 2-s2.0-84940485458 PMC4460295 26106351 · DOI · Paper page
  32. [43]Gusnard D. A. Raichle M. E. Raichle M. E. Searching for a baseline: functional imaging and the resting human brain Nature Reviews Neuroscience 2001 2 10 685 694 10.1038/35094500 2-s2.0-0035486838 11584306 · DOI · Paper page
  33. [44]Fox M. D. Snyder A. Z. Vincent J. L. Corbetta M. van Essen D. C. Raichle M. E. The human brain is intrinsically organized into dynamic, anticorrelated functional networks Proceedings of the National Academy of Sciences of the United States of America 2005 102 27 9673 9678 10.1073/pnas.0504136102 2-s2.0-22144469412 15976020 PMC1157105 · DOI · Paper page
  34. [45]Hampson M. Driesen N. R. Skudlarski P. Gore J. C. Constable R. T. Brain connectivity related to working memory performance The Journal of Neuroscience 2006 26 51 13338 13343 10.1523/JNEUROSCI.3408-06.2006 2-s2.0-33845758871 17182784 PMC2677699 · DOI · Paper page
  35. [47]O’Connell M. A. Basak C. Effects of task complexity and age-differences on task-related functional connectivity of attentional networks Neuropsychologia 2018 114 50 64 10.1016/j.neuropsychologia.2018.04.013 2-s2.0-85046374272 29655800 · DOI
  36. [48]Fransson P. How default is the default mode of brain function? Further evidence from intrinsic BOLD signal fluctuations Neuropsychologia 2006 44 14 2836 2845 10.1016/j.neuropsychologia.2006.06.017 2-s2.0-33749427596 16879844 · DOI · Paper page
  37. [51]Gusnard D. A. Akbudak E. Shulman G. L. Raichle M. E. Medial prefrontal cortex and self-referential mental activity: relation to a default mode of brain function Proceedings of the National Academy of Sciences of the United States of America 2001 98 7 4259 4264 10.1073/pnas.071043098 2-s2.0-0035957380 11259662 PMC31213 · DOI · Paper page
  38. [52]Buckner R. L. Andrews-Hanna J. R. Schacter D. L. The brain’s default network: anatomy, function, and relevance to disease Annals of the New York Academy of Sciences 2008 1124 1 1 38 10.1196/annals.1440.011 2-s2.0-41949121294 18400922 · DOI · Paper page
  39. [53]Mason M. F. Norton M. I. van Horn J. D. Wegner D. M. Grafton S. T. Macrae C. N. Wandering minds: the default network and stimulus-independent thought Science 2007 315 5810 393 395 10.1126/science.1131295 2-s2.0-33846649502 17234951 PMC1821121 · DOI · Paper page
  40. [55]Henríquez R. A. Chica A. B. Billeke P. Bartolomeo P. Fluctuating minds: spontaneous psychophysical variability during mind-wandering PLoS One 2016 11 2, article e0147174 10.1371/journal.pone.0147174 2-s2.0-84959450250 26863144 PMC4749381 · DOI
  41. [56]Haatveit B. Jensen J. Alnæs D. Reduced load-dependent default mode network deactivation across executive tasks in schizophrenia spectrum disorders NeuroImage: Clinical 2016 12 389 396 10.1016/j.nicl.2016.08.012 2-s2.0-84983541707 27622135 PMC5009228 · DOI
  42. [57]Garrity A. G. Pearlson G. D. McKiernan K. Lloyd D. Kiehl K. A. Calhoun V. D. Aberrant “default mode” functional connectivity in schizophrenia The American Journal of Psychiatry 2007 164 3 450 457 10.1176/ajp.2007.164.3.450 2-s2.0-34047186989 17329470 · DOI · Paper page
  43. [58]Pomarol-Clotet E. Salvador R. Sarró S. Failure to deactivate in the prefrontal cortex in schizophrenia: dysfunction of the default mode network? Psychological Medicine 2008 38 8 1185 1193 10.1017/S0033291708003565 2-s2.0-46749119479 18507885 · DOI · Paper page
  44. [59]Liao W. Zhang Z. Pan Z. Default mode network abnormalities in mesial temporal lobe epilepsy: a study combining fMRI and DTI Human Brain Mapping 2011 32 6 883 895 10.1002/hbm.21076 2-s2.0-79955738966 20533558 PMC6870458 · DOI
  45. [60]Bastos-Leite A. J. Ridgway G. R. Silveira C. Norton A. Reis S. Friston K. J. Dysconnectivity within the default mode in first-episode schizophrenia: a stochastic dynamic causal modeling study with functional magnetic resonance imaging Schizophrenia Bulletin 2015 41 1 144 153 10.1093/schbul/sbu080 2-s2.0-84928789276 24939881 PMC4266292 · DOI
  46. [61]Whitfield-Gabrieli S. Ford J. M. Default mode network activity and connectivity in psychopathology Annual Review of Clinical Psychology 2012 8 1 49 76 10.1146/annurev-clinpsy-032511-143049 2-s2.0-84860803019 22224834 · DOI · Paper page
  47. [62]Anticevic A. Cole M. W. Murray J. D. Corlett P. R. Wang X. J. Krystal J. H. The role of default network deactivation in cognition and disease Trends in Cognitive Sciences 2012 16 12 584 592 10.1016/j.tics.2012.10.008 2-s2.0-84869492490 23142417 PMC3501603 · DOI · Paper page
  48. [63]Grady C. L. Springer M. V. Hongwanishkul D. McIntosh A. R. Winocur G. Age-related changes in brain activity across the adult lifespan Journal of Cognitive Neuroscience 2006 18 2 227 241 10.1162/jocn.2006.18.2.227 2-s2.0-33645743814 16494683 · DOI
  49. [64]Persson J. Lustig C. Nelson J. K. Reuter-Lorenz P. A. Age differences in deactivation: a link to cognitive control? Journal of Cognitive Neuroscience 2007 19 6 1021 1032 10.1162/jocn.2007.19.6.1021 2-s2.0-34249778355 17536972 · DOI
  50. [65]Lustig C. Snyder A. Z. Bhakta M. Functional deactivations: change with age and dementia of the Alzheimer type Proceedings of the National Academy of Sciences of the United States of America 2003 100 24 14504 14509 10.1073/pnas.2235925100 2-s2.0-0344198488 14608034 PMC283621 · DOI · Paper page
  51. [66]Christoff K. Gordon A. M. Smallwood J. Smith R. Schooler J. W. Experience sampling during fMRI reveals default network and executive system contributions to mind wandering Proceedings of the National Academy of Sciences of the United States of America 2009 106 21 8719 8724 10.1073/pnas.0900234106 2-s2.0-66749166573 19433790 PMC2689035 · DOI · Paper page
  52. [67]Hasenkamp W. Wilson-Mendenhall C. D. Duncan E. Barsalou L. W. Mind wandering and attention during focused meditation: a fine-grained temporal analysis of fluctuating cognitive states NeuroImage 2012 59 1 750 760 10.1016/j.neuroimage.2011.07.008 2-s2.0-80054108429 21782031 · DOI · Paper page
  53. [69]Seeley W. W. Menon V. Schatzberg A. F. Dissociable intrinsic connectivity networks for salience processing and executive control The Journal of Neuroscience 2007 27 9 2349 2356 10.1523/JNEUROSCI.5587-06.2007 2-s2.0-33847343843 17329432 PMC2680293 · DOI · Paper page
  54. [72]Malinowski P. Neural mechanisms of attentional control in mindfulness meditation Frontiers in Neuroscience 2013 7 p. 8 10.3389/fnins.2013.00008 2-s2.0-84878834703 PMC3563089 23382709 · DOI · Paper page
  55. [73]Posner M. I. Rothbart M. K. Research on attention networks as a model for the integration of psychological science Annual Review of Psychology 2007 58 1 1 23 10.1146/annurev.psych.58.110405.085516 2-s2.0-33847041865 17029565 · DOI · Paper page
  56. [75]Dahl C. J. Lutz A. Davidson R. J. Reconstructing and deconstructing the self: cognitive mechanisms in meditation practice Trends in Cognitive Sciences 2015 19 9 515 523 10.1016/j.tics.2015.07.001 2-s2.0-84952637984 26231761 PMC4595910 · DOI · Paper page
  57. [80]Sperduti M. Makowski D. Piolino P. The protective role of long-term meditation on the decline of the executive component of attention in aging: a preliminary cross-sectional study Aging, Neuropsychology, and Cognition 2016 23 6 691 702 10.1080/13825585.2016.1159652 2-s2.0-84961210140 26982654 · DOI
  58. [82]Manna A. Raffone A. Perrucci M. G. Neural correlates of focused attention and cognitive monitoring in meditation Brain Research Bulletin 2010 82 1-2 46 56 10.1016/j.brainresbull.2010.03.001 2-s2.0-77952322917 20223285 · DOI · Paper page
  59. [83]Kozasa E. H. Sato J. R. Lacerda S. S. Meditation training increases brain efficiency in an attention task NeuroImage 2012 59 1 745 749 10.1016/j.neuroimage.2011.06.088 2-s2.0-80054121139 21763432 · DOI
  60. [85]Worden M. S. Foxe J. J. Wang N. Simpson G. V. Anticipatory biasing of visuospatial attention indexed by retinotopically specific α-bank electroencephalography increases over occipital cortex The Journal of Neuroscience 2000 20 6, article RC63 10.1523/JNEUROSCI.20-06-j0002.2000 10704517 PMC6772495 · DOI · Paper page
  61. [86]Thut G. Nietzel A. Brandt S. A. Pascual-Leone A. α-Band electroencephalographic activity over occipital cortex indexes visuospatial attention bias and predicts visual target detection The Journal of Neuroscience 2006 26 37 9494 9502 10.1523/JNEUROSCI.0875-06.2006 2-s2.0-33748714335 16971533 PMC6674607 · DOI
  62. [87]Kelly S. P. Gomez-Ramirez M. Foxe J. J. The strength of anticipatory spatial biasing predicts target discrimination at attended locations: a high-density EEG study The European Journal of Neuroscience 2009 30 11 2224 2234 10.1111/j.1460-9568.2009.06980.x 2-s2.0-71249147754 19930401 · DOI
  63. [88]Kerr C. E. Jones S. R. Wan Q. Effects of mindfulness meditation training on anticipatory alpha modulation in primary somatosensory cortex Brain Research Bulletin 2011 85 3-4 96 103 10.1016/j.brainresbull.2011.03.026 2-s2.0-79957874671 21501665 · DOI
  64. [89]Kerr C. E. Sacchet M. D. Lazar S. W. Moore C. I. Jones S. R. Mindfulness starts with the body: somatosensory attention and top-down modulation of cortical alpha rhythms in mindfulness meditation Frontiers in Human Neuroscience 2013 7 p. 12 10.3389/fnhum.2013.00012 2-s2.0-84933678251 PMC3570934 23408771 · DOI
  65. [91]Kang D.-H. Jo H. J. Jung W. H. The effect of meditation on brain structure: cortical thickness mapping and diffusion tensor imaging Social Cognitive and Affective Neuroscience 2013 8 1 27 33 10.1093/scan/nss056 2-s2.0-84872375001 22569185 PMC3541490 · DOI · Paper page
  66. [93]Bush G. Luu P. Posner M. I. Cognitive and emotional influences in anterior cingulate cortex Trends in Cognitive Sciences 2000 4 6 215 222 10.1016/S1364-6613(00)01483-2 2-s2.0-0034212432 10827444 · DOI · Paper page
  67. [95]Vogt B. A. Pain and emotion interactions in subregions of the cingulate gyrus Nature Reviews Neuroscience 2005 6 7 533 544 10.1038/nrn1704 2-s2.0-21744441688 15995724 PMC2659949 · DOI · Paper page
  68. [97]Vogeley K. Fink G. R. Neural correlates of the first-person-perspective Trends in Cognitive Sciences 2003 7 1 38 42 10.1016/S1364-6613(02)00003-7 2-s2.0-0037219219 12517357 · DOI · Paper page
  69. [98]Cavanna A. E. Trimble M. R. The precuneus: a review of its functional anatomy and behavioural correlates Brain 2006 129 3 564 583 10.1093/brain/awl004 2-s2.0-33244483359 16399806 · DOI · Paper page
  70. [99]Kanai R. Rees G. The structural basis of inter-individual differences in human behaviour and cognition Nature Reviews Neuroscience 2011 12 4 231 242 10.1038/nrn3000 2-s2.0-79952898677 21407245 · DOI · Paper page
  71. [100]Takeuchi H. Taki Y. Hashizume H. Effects of training of processing speed on neural systems The Journal of Neuroscience 2011 31 34 12139 12148 10.1523/JNEUROSCI.2948-11.2011 2-s2.0-80052165301 21865456 PMC6623215 · DOI
  72. [101]Acevedo B. P. Pospos S. Lavretsky H. The neural mechanisms of meditative practices: novel approaches for healthy aging Current Behavioral Neuroscience Reports 2016 3 4 328 339 10.1007/s40473-016-0098-x 27909646 PMC5110576 · DOI · Paper page
  73. [102]Norton S. Matthews F. E. Barnes D. E. Yaffe K. Brayne C. Potential for primary prevention of Alzheimer’s disease: an analysis of population-based data The Lancet Neurology 2014 13 8 788 794 10.1016/S1474-4422(14)70136-X 2-s2.0-84904264999 25030513 · DOI · Paper page
  74. [103]Zufferey V. Donati A. Popp J. Neuroticism, depression, and anxiety traits exacerbate the state of cognitive impairment and hippocampal vulnerability to Alzheimer’s disease Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2017 7 107 114 10.1016/j.dadm.2017.05.002 2-s2.0-85020770316 28653033 PMC5476972 · DOI
  75. [104]Wilson R. S. Barnes L. L. Mendes de Leon C. F. Depressive symptoms, cognitive decline, and risk of AD in older persons Neurology 2002 59 3 364 370 10.1212/WNL.59.3.364 2-s2.0-0037072298 12177369 · DOI · Paper page
  76. [105]Barnes D. E. Yaffe K. The projected effect of risk factor reduction on Alzheimer’s disease prevalence The Lancet Neurology 2011 10 9 819 828 10.1016/S1474-4422(11)70072-2 2-s2.0-80051669619 21775213 PMC3647614 · DOI
  77. [107]Chételat G. Lutz A. Arenaza-Urquijo E. Collette F. Klimecki O. Marchant N. Why could meditation practice help promote mental health and well-being in aging? Alzheimer's Research & Therapy 2018 10 1 p. 57 10.1186/s13195-018-0388-5 2-s2.0-85049039336 29933746 PMC6015474 · DOI
  78. [108]Cotier F. A. Zhang R. Lee T. M. C. A longitudinal study of the effect of short-term meditation training on functional network organization of the aging brain Scientific Reports 2017 7 1 p. 598 10.1038/s41598-017-00678-8 2-s2.0-85017132988 28377606 PMC5428857 · DOI
  79. [109]Laneri D. Schuster V. Dietsche B. Jansen A. Ott U. Sommer J. Effects of long-term mindfulness meditation on brain’s white matter microstructure and its aging Frontiers in Aging Neuroscience 2016 7 p. 254 10.3389/fnagi.2015.00254 2-s2.0-84960117117 PMC4712309 26834624 · DOI
  80. [110]Shah B. M. Hajjar E. R. Polypharmacy, adverse drug reactions, and geriatric syndromes Clinics in Geriatric Medicine 2012 28 2 173 186 10.1016/j.cger.2012.01.002 2-s2.0-84859710909 22500537 · DOI
  81. [111]Naveen K. V. Nagendra R. N. H. R. Telles S. Yoga breathing through a particular nostril increases spatial memory scores without lateralized effects Psychological Reports 1997 81 2 555 561 10.2466/pr0.1997.81.2.555 2-s2.0-0031255515 9354111 · DOI
  82. [112]Telles S. Raghuraj P. Maharana S. Nagendra H. R. Immediate effect of three yoga breathing techniques on performance on a letter-cancellation task Perceptual and Motor Skills 2007 104 3 Supplement 1289 1296 10.2466/pms.104.4.1289-1296 2-s2.0-34547952086 17879663 · DOI
  83. [115]Bryan S. Pinto Zipp G. Parasher R. The effects of yoga on psychosocial variables and exercise adherence: a randomized, controlled pilot study Alternative Therapies in Health & Medicine 2012 18 5 50 59 22894891
  84. [116]Cappo B. M. Holmes D. S. The utility of prolonged respiratory exhalation for reducing physiological and psychological arousal in non-threatening and threatening situations Journal of Psychosomatic Research 1984 28 4 265 273 10.1016/0022-3999(84)90048-5 2-s2.0-0021150789 6481661 · DOI · Paper page
  85. [117]Field T. Yoga clinical research review Complementary Therapies in Clinical Practice 2011 17 1 1 8 10.1016/j.ctcp.2010.09.007 2-s2.0-78650170509 21168106 · DOI
  86. [118]Park S.-H. Han K. S. Blood pressure response to meditation and yoga: a systematic review and meta-analysis The Journal of Alternative and Complementary Medicine 2017 23 9 685 695 10.1089/acm.2016.0234 2-s2.0-85031938483 28384004 · DOI · Paper page
  87. [119]Nivethitha L. Mooventhan A. Manjunath N. Effects of various Prāṇāyāma on cardiovascular and autonomic variables Ancient Science of Life 2016 36 2 72 77 10.4103/asl.ASL_178_16 28446827 PMC5382821 · DOI
  88. [121]Payne P. Crane-Godreau M. A. Meditative movement for depression and anxiety Frontiers in Psychiatry 2013 4 p. 71 10.3389/fpsyt.2013.00071 2-s2.0-84884546935 PMC3721087 23898306 · DOI
  89. [122]Guddeti R. R. Dang G. Williams M. A. Alla V. M. Role of yoga in cardiac disease and rehabilitation Journal of Cardiopulmonary Rehabilitation and Prevention 2018 1 p. 1 10.1097/HCR.0000000000000372 31021995 · DOI
  90. [123]Nivethitha L. Manjunath N. Mooventhan A. Heart rate variability changes during and after the practice of Bhramari Pranayama International Journal of Yoga 2017 10 2 99 102 10.4103/0973-6131.205518 28546681 PMC5433120 · DOI
  91. [125]Schell F. J. Allolio B. Schonecke O. W. Physiological and psychological effects of Hatha-Yoga exercise in healthy women International Journal of Psychosomatics 1994 41 1-4 46 52 7843867
  92. [126]Afonso R. F. Balardin J. B. Lazar S. Greater cortical thickness in elderly female yoga practitioners—a cross-sectional study Frontiers in Aging Neuroscience 2017 9 p. 201 10.3389/fnagi.2017.00201 2-s2.0-85020851535 PMC5476728 28676757 · DOI
  93. [127]Gard T. Taquet M. Dixit R. Fluid intelligence and brain functional organization in aging yoga and meditation practitioners Frontiers in Aging Neuroscience 2014 6 p. 76 10.3389/fnagi.2014.00076 2-s2.0-84901296071 PMC4001007 24795629 · DOI
  94. [129]Shao R. Keuper K. Geng X. Lee T. M. C. Pons to posterior cingulate functional projections predict affective processing changes in the elderly following eight weeks of meditation training eBioMedicine 2016 10 236 248 10.1016/j.ebiom.2016.06.018 2-s2.0-85027947612 27349456 PMC5006446 · DOI
  95. [130]Lavretsky H. Epel E. S. Siddarth P. A pilot study of yogic meditation for family dementia caregivers with depressive symptoms: effects on mental health, cognition, and telomerase activity International Journal of Geriatric Psychiatry 2013 28 1 57 65 10.1002/gps.3790 2-s2.0-84870892573 22407663 PMC3423469 · DOI · Paper page
  96. [131]Carter K. S. III R. C. Breath-based meditation: a mechanism to restore the physiological and cognitive reserves for optimal human performance World Journal of Clinical Cases 2016 4 4 99 102 10.12998/wjcc.v4.i4.99 27099859 PMC4832119 · DOI
  97. [132]Thomas J. Jamieson G. Cohen M. Low and then high frequency oscillations of distinct right cortical networks are progressively enhanced by medium and long term Satyananda Yoga meditation practice Frontiers in Human Neuroscience 2014 8 p. 197 10.3389/fnhum.2014.00197 2-s2.0-84902344074 PMC4051196 24959124 · DOI
  98. [133]Fingelkurts A. A. Fingelkurts A. A. Kallio-Tamminen T. Long-term meditation training induced changes in the operational synchrony of default mode network modules during a resting state Cognitive Processing 2016 17 1 27 37 10.1007/s10339-015-0743-4 2-s2.0-84958752771 26525051 · DOI
  99. [134]Fingelkurts A. A. Fingelkurts A. A. Bagnato S. Boccagni C. Galardi G. DMN operational synchrony relates to self-consciousness: evidence from patients in vegetative and minimally conscious states The Open Neuroimaging Journal 2012 6 55 68 10.2174/1874440001206010055 2-s2.0-84875681214 22905075 PMC3419863 · DOI
  100. [135]Fingelkurts A. A. Fingelkurts A. A. Bagnato S. Boccagni C. Galardi G. The chief role of frontal operational module of the brain default mode network in the potential recovery of consciousness from the vegetative state: a preliminary comparison of three case reports Open Neuroimaging Journal 2016 10 41 51 10.2174/1874440001610010041 2-s2.0-85014188398 27347264 PMC4894863 · DOI
  101. [136]Lou H. C. Kjaer T. W. Friberg L. Wildschiodtz G. Holm S. Nowak M. A 15O‐H2O PET study of meditation and the resting state of normal consciousness Human Brain Mapping 1999 7 2 98 105 10.1002/(SICI)1097-0193(1999)7:2<98::AID-HBM3>3.0.CO;2-M 9950067 PMC6873339 · DOI
  102. [137]Lou H. C. Joensson M. Kringelbach M. L. Yoga lessons for consciousness research: a paralimbic network balancing brain resource allocation Frontiers in Psychology 2011 2 p. 3389 10.3389/fpsyg.2011.00366 2-s2.0-84860494365 PMC3241341 22203808 · DOI
  103. [141]Malinowski P. Moore A. W. Mead B. R. Gruber T. Mindful aging: the effects of regular brief mindfulness practice on electrophysiological markers of cognitive and affective processing in older adults Mindfulness 2017 8 1 78 94 10.1007/s12671-015-0482-8 2-s2.0-85009743302 28163795 PMC5241348 · DOI
  104. [146]Sorrell J. M. Meditation for older adults: a new look at an ancient intervention for mental health Journal of Psychosocial Nursing and Mental Health Services 2015 53 5 15 19 10.3928/02793695-20150330-01 2-s2.0-84947079144 25876613 · DOI
  105. [148]Shaurya Prakash R. de Leon A. A. Klatt M. Malarkey W. Patterson B. Mindfulness disposition and default-mode network connectivity in older adults Social Cognitive and Affective Neuroscience 2013 8 1 112 117 10.1093/scan/nss115 2-s2.0-84872373213 23051900 PMC3541498 · DOI · Paper page
  106. [149]Wells R. E. Yeh G. Y. Kerr C. E. Meditation’s impact on default mode network and hippocampus in mild cognitive impairment: a pilot study Neuroscience Letters 2013 556 15 19 10.1016/j.neulet.2013.10.001 2-s2.0-84887377806 24120430 PMC4022038 · DOI
  107. [151]Black D. S. Kurth F. Luders E. Wu B. Brain gray matter changes associated with mindfulness meditation in older adults: an exploratory pilot study using voxelbased morphometry Neuro - Open Journal 2014 1 1 23 26 10.17140/NOJ-1-106 25632405 PMC4306280 · DOI
  108. [152]Oken B. S. Wahbeh H. Goodrich E. Meditation in stressed older adults: improvements in self-rated mental health not paralleled by improvements in cognitive function or physiological measures Mindfulness 2017 8 3 627 638 10.1007/s12671-016-0640-7 2-s2.0-85018307357 28603562 PMC5464416 · DOI
  109. [153]Wahbeh H. Goodrich E. Oken B. S. Internet-based mindfulness meditation for cognition and mood in older adults: a pilot study Alternative Therapies in Health and Medicine 2016 22 2 44 53 27036056 PMC4874472
  110. [157]Brand S. Holsboer-Trachsler E. Naranjo J. R. Schmidt S. Influence of mindfulness practice on cortisol and sleep in long-term and short-term meditators Neuropsychobiology 2012 65 3 109 118 10.1159/000330362 2-s2.0-84857489335 22377965 · DOI · Paper page
  111. [158]Goldin P. Ramel W. Gross J. Mindfulness meditation training and self-referential processing in social anxiety disorder: behavioral and neural effects Journal of Cognitive Psychotherapy 2009 23 3 242 257 10.1891/0889-8391.23.3.242 2-s2.0-68249096972 25568592 PMC4283801 · DOI · Paper page
  112. [160]Vago D. R. Zeidan F. The brain on silent: mind wandering, mindful awareness, and states of mental tranquility Annals of the New York Academy of Sciences 2016 1373 1 96 113 10.1111/nyas.13171 2-s2.0-84979502129 27398642 PMC5866730 · DOI
  113. [161]Schmalzl L. Kerr C. E. Editorial: neural mechanisms underlying movement-based embodied contemplative practices Frontiers in Human Neuroscience 2016 10 p. 169 10.3389/fnhum.2016.00169 2-s2.0-84964770895 PMC4844845 27199700 · DOI

Cited by

Sorted by citations

Authors
Ramírez-Barrantes, R., Arancibia, M., Stojanova, J., Aspé-Sánchez, M., Córdova, C., & Henríquez-Ch, R. A.
Affiliations
  • Universidad Andrés Bello (CL)
  • Interdisciplinary Centre for Health Studies (CIESAL), Universidad de Valparaíso, Angamos 655, 2540064 Viña del Mar, Chile
  • University of Valparaíso (CL)
  • Universidad del Desarrollo (CL)
  • Pontificia Universidad Católica de Chile (CL)
Corresponding author
Ramírez-Barrantes, Ricardo
Venue
Neural Plasticity
Publisher
Wiley
Published
2019-04-02
Volume
2019
Pages
1-15
ISSN
  • 1687-5443 (ISSN-L)
  • 2090-5904
OpenAlex
W2928611790
Cited by
44
References
47
Citations by year
2026: 5 · 2025: 6 · 2024: 9 · 2023: 5 · 2022: 9 · 2021: 6 · 2020: 4
FWCI
0.60
Type
journal article
Language
en
Open access
Locations
  • Neural Plasticity (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Mind wandering and attention
Keywords
default mode network, meditation, healthy aging, cognitive decline, task-positive network, meta-awareness, neuroprotection, attentional networks, executive function, memory, quality of life in old age, mental training
MeSH terms
Metacognition, Healthy Aging, Attention, Brain, Humans, Neural Pathways, Psychotherapeutic Processes, Meditation, Cognitive Dysfunction, Mindfulness

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review