Fluid intelligence and brain functional organization in aging yoga and meditation practitioners

Numerous studies have documented the normal age-related decline of neural structure, function, and cognitive performance. Preliminary evidence suggests that meditation may reduce decline in specific cognitive domains and in brain structure. Here we extended this research by investigating the relation between age and fluid intelligence and resting state brain functional network architecture using graph theory, in middle-aged yoga and meditation practitioners, and matched controls. Fluid intelligence declined slower in yoga practitioners and meditators combined than in controls. Resting state functional networks of yoga practitioners and meditators combined were more integrated and more resilient to damage than those of controls. Furthermore, mindfulness was positively correlated with fluid intelligence, resilience, and global network efficiency. These findings reveal the possibility to increase resilience and to slow the decline of fluid intelligence and brain functional architecture and suggest that mindfulness plays a mechanistic role in this preservation.

[1]  Mitchell Haas,et al.  Randomized, controlled, six-month trial of yoga in healthy seniors: effects on cognition and quality of life. , 2006, Alternative therapies in health and medicine.

[2]  Jonas Persson,et al.  Structure-function correlates of cognitive decline in aging. , 2006, Cerebral cortex.

[3]  Philip David Zelazo,et al.  Mindfulness meditation and reduced emotional interference on a cognitive task , 2007 .

[4]  P. Thompson,et al.  Neurobiology of intelligence: science and ethics , 2004, Nature Reviews Neuroscience.

[5]  Bernhard Hommel,et al.  Intelligence and cognitive flexibility: Fluid intelligence correlates with feature “unbinding” across perception and action , 2006, Psychonomic bulletin & review.

[6]  Britta K. Hölzel,et al.  Effects of a yoga-based intervention for young adults on quality of life and perceived stress: The potential mediating roles of mindfulness and self-compassion , 2012 .

[7]  S. Ribeiro,et al.  Improvement in physiological and psychological parameters after 6months of yoga practice , 2012, Consciousness and Cognition.

[8]  A profile of older Americans. , 1986, The Florida nurse.

[9]  Lars Nyberg,et al.  Neural correlates of training-related memory improvement in adulthood and aging , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[10]  I. Deary,et al.  The neuroscience of human intelligence differences , 2010, Nature Reviews Neuroscience.

[11]  E. Bullmore,et al.  A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs , 2006, The Journal of Neuroscience.

[12]  Jun Li,et al.  Brain Anatomical Network and Intelligence , 2009, NeuroImage.

[13]  Olaf Sporns,et al.  Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.

[14]  Albert-László Barabási,et al.  Error and attack tolerance of complex networks , 2000, Nature.

[15]  S. Bauer-Wu Mindfulness meditation. , 2010, Oncology.

[16]  Alan C. Evans,et al.  Structural Insights into Aberrant Topological Patterns of Large-Scale Cortical Networks in Alzheimer's Disease , 2008, The Journal of Neuroscience.

[17]  Jun Soo Kwon,et al.  Increased default mode network connectivity associated with meditation , 2011, Neuroscience Letters.

[18]  D. Goleman,et al.  The Meditative Mind: The Varieties of Meditative Experience , 1988 .

[19]  Camarin E. Rolle,et al.  Video game training enhances cognitive control in older adults , 2013, Nature.

[20]  A. Lutz,et al.  Long-term meditators self-induce high-amplitude gamma synchrony during mental practice. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[21]  S. Chaudhury,et al.  Long-term concentrative meditation and cognitive performance among older adults , 2012, Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition.

[22]  Massimo Marchiori,et al.  Error and attacktolerance of complex network s , 2004 .

[23]  Dalai Lama Xiv Bstan-ʾdzin-rgya-mtsho,et al.  Seeking the Heart of Wisdom: The Path of Insight Meditation , 1987 .

[24]  Michael D. Robinson,et al.  Toward a cognitive view of trait mindfulness: distinct cognitive skills predict its observing and nonreactivity facets. , 2012, Journal of personality.

[25]  Aric Hagberg,et al.  Exploring Network Structure, Dynamics, and Function using NetworkX , 2008 .

[26]  Edward T. Bullmore,et al.  Efficiency and Cost of Economical Brain Functional Networks , 2007, PLoS Comput. Biol..

[27]  Yong He,et al.  Discrete Neuroanatomical Networks Are Associated with Specific Cognitive Abilities in Old Age , 2011, The Journal of Neuroscience.

[28]  Manfred G Kitzbichler,et al.  Cognitive Effort Drives Workspace Configuration of Human Brain Functional Networks , 2011, The Journal of Neuroscience.

[29]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.

[30]  Ruth A. Baer,et al.  Relationships between mindfulness practice and levels of mindfulness, medical and psychological symptoms and well-being in a mindfulness-based stress reduction program , 2008, Journal of Behavioral Medicine.

[31]  Sonia Suchday,et al.  A Pilot Study Measuring the Impact of Yoga on the Trait of Mindfulness , 2009, Behavioural and Cognitive Psychotherapy.

[32]  R. Kahn,et al.  Efficiency of Functional Brain Networks and Intellectual Performance , 2009, The Journal of Neuroscience.

[33]  A. Dale,et al.  Thinning of the cerebral cortex in aging. , 2004, Cerebral cortex.

[34]  F. Varela,et al.  Perception's shadow: long-distance synchronization of human brain activity , 1999, Nature.

[35]  H. Nagendra,et al.  Effect of yoga on cognitive functions in climacteric syndrome: a randomised control study , 2008, BJOG : an international journal of obstetrics and gynaecology.

[36]  N. Tzourio-Mazoyer,et al.  Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.

[37]  Paul J. Laurienti,et al.  An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets , 2003, NeuroImage.

[38]  James R. Burke,et al.  Systematic Review: Factors Associated With Risk for and Possible Prevention of Cognitive Decline in Later Life , 2010, Annals of Internal Medicine.

[39]  S. Telles,et al.  Effect of two yoga-based relaxation techniques on memory scores and state anxiety , 2009, BioPsychoSocial medicine.

[40]  P. Renshaw,et al.  Effects of yoga versus walking on mood, anxiety, and brain GABA levels: a randomized controlled MRS study. , 2010, Journal of alternative and complementary medicine.

[41]  J. Morrison,et al.  Life and death of neurons in the aging brain. , 1997, Science.

[42]  G. Pagnoni,et al.  Age effects on gray matter volume and attentional performance in Zen meditation , 2007, Neurobiology of Aging.

[43]  J. Gray,et al.  Meditation experience is associated with differences in default mode network activity and connectivity , 2011, Proceedings of the National Academy of Sciences.

[44]  Zhang Yu-Xuan,et al.  Working Memory Training , 2020, Cognitive Training.

[45]  Gregory T. Smith,et al.  Using Self-Report Assessment Methods to Explore Facets of Mindfulness , 2006, Assessment.

[46]  Edward T. Bullmore,et al.  Age-related changes in modular organization of human brain functional networks , 2009, NeuroImage.

[47]  D. Bennett,et al.  Influence of late-life cognitive activity on cognitive health , 2012, Neurology.

[48]  O. Sporns,et al.  Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.

[49]  Jonathan D. Power,et al.  Prediction of Individual Brain Maturity Using fMRI , 2010, Science.

[50]  Karlijn F. Kuijpers,et al.  Effects of Mindfulness-Based Stress Reduction Intervention on Psychological Well-being and Quality of Life: Is Increased Mindfulness Indeed the Mechanism? , 2008, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[51]  Lorena R. R. Gianotti,et al.  Functional brain network efficiency predicts intelligence , 2012, Human brain mapping.

[52]  M. Baime,et al.  Effective and viable mind-body stress reduction in the workplace: a randomized controlled trial. , 2012, Journal of occupational health psychology.

[53]  J. Martinerie,et al.  The brainweb: Phase synchronization and large-scale integration , 2001, Nature Reviews Neuroscience.

[54]  Arthur F. Kramer,et al.  Capitalizing on cortical plasticity: influence of physical activity on cognition and brain function , 2007, Trends in Cognitive Sciences.

[55]  Arthur W. Toga,et al.  Enhanced brain connectivity in long-term meditation practitioners , 2011, NeuroImage.

[56]  S. Gauthier,et al.  Training-related brain plasticity in subjects at risk of developing Alzheimer's disease. , 2011, Brain : a journal of neurology.

[57]  B. L. Welch ON THE COMPARISON OF SEVERAL MEAN VALUES: AN ALTERNATIVE APPROACH , 1951 .

[58]  Britta K. Hölzel,et al.  The potential effects of meditation on age‐related cognitive decline: a systematic review , 2014, Annals of the New York Academy of Sciences.

[59]  K. P. Singh,et al.  Effect of pranayama & yoga-asana on cognitive brain functions in type 2 diabetes-P3 event related evoked potential (ERP). , 2010, The Indian journal of medical research.

[60]  Rebecca Saxe,et al.  Associations and dissociations between default and self-reference networks in the human brain , 2011, NeuroImage.

[61]  Susanne M. Jaeggi,et al.  Improving fluid intelligence with training on working memory: a meta-analysis , 2008, Psychonomic Bulletin & Review.

[62]  Habib Benali,et al.  Impact of meditation training on the default mode network during a restful state. , 2013, Social cognitive and affective neuroscience.

[63]  S. Rauch,et al.  Meditation experience is associated with increased cortical thickness , 2005, Neuroreport.

[64]  Paige E. Scalf,et al.  Cardiovascular fitness, cortical plasticity, and aging. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[65]  Brigitte Röder,et al.  Cardiovascular fitness modulates brain activation associated with spatial learning , 2012, NeuroImage.

[66]  K. Ball,et al.  Long-term effects of cognitive training on everyday functional outcomes in older adults. , 2006, JAMA.

[67]  C. Baird,et al.  The pilot study. , 2000, Orthopedic nursing.

[68]  G. Mcnicoll World Population Ageing 1950-2050. , 2002 .

[69]  C. Jack,et al.  Modifiable factors that alter the size of the hippocampus with ageing , 2012, Nature Reviews Neurology.

[70]  W. Singer Synchronization of cortical activity and its putative role in information processing and learning. , 1993, Annual review of physiology.

[71]  Thomas S. Redick,et al.  Is working memory training effective? , 2012, Psychological bulletin.

[72]  Norbert Jaušovec,et al.  Working memory training: Improving intelligence – Changing brain activity , 2012, Brain and Cognition.

[73]  Mikko Kivelä,et al.  Generalizations of the clustering coefficient to weighted complex networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[74]  L Tugan Muftuler,et al.  The effects of age, memory performance, and callosal integrity on the neural correlates of successful associative encoding. , 2011, Cerebral cortex.

[75]  Notger G. Müller,et al.  Age effects on attentional blink performance in meditation , 2009, Consciousness and Cognition.

[76]  Olaf Sporns,et al.  Modeling the Impact of Lesions in the Human Brain , 2009, PLoS Comput. Biol..

[77]  M. Newman Analysis of weighted networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[78]  Laura A. Whitlock,et al.  Video‐Game Training , 2015 .

[79]  J. Deutsch Toward the Cognitive. , 1967 .

[80]  Intelligence , 1836, The Medico-chirurgical review.

[81]  J. Raven The Raven's Progressive Matrices: Change and Stability over Culture and Time , 2000, Cognitive Psychology.

[82]  N. Takahashi Aging , 1992, Cell.

[83]  Robert J. Sternberg,et al.  Increasing fluid intelligence is possible after all , 2008, Proceedings of the National Academy of Sciences.

[84]  M. Sliwinski,et al.  Development and validation of a model for estimating premorbid verbal intelligence in the elderly. , 1991, Journal of clinical and experimental neuropsychology.

[85]  P. Malinowski,et al.  Meditation, mindfulness and cognitive flexibility , 2009, Consciousness and Cognition.

[86]  Monica Melby-Lervåg,et al.  Is working memory training effective? A meta-analytic review. , 2013, Developmental psychology.

[87]  G. Schwartz,et al.  A randomized controlled trial of mindfulness meditation versus relaxation training: Effects on distress, positive states of mind, rumination, and distraction , 2007, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[88]  Michael Breakspear,et al.  Simulation of neuronal death and network recovery in a computational model of distributed cortical activity. , 2009, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.