The electrophysiological connectome is maintained in healthy elders: a power envelope correlation MEG study

[1]  Axel Montagne,et al.  Cerebral blood flow regulation and neurovascular dysfunction in Alzheimer disease , 2017, Nature Reviews Neuroscience.

[2]  Shishun Fu,et al.  Abnormal whole-brain functional connectivity in patients with primary insomnia , 2017, Neuropsychiatric disease and treatment.

[3]  Philippe Peigneux,et al.  Age‐related differences in practice‐dependent resting‐state functional connectivity related to motor sequence learning , 2017, Human brain mapping.

[4]  Cam-CAN Group,et al.  The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample , 2017, NeuroImage.

[5]  Philippe Peigneux,et al.  Resting-state Functional Connectivity is an Age-dependent Predictor of Motor Learning Abilities , 2016, Cerebral cortex.

[6]  L. Tsai,et al.  The road to restoring neural circuits for the treatment of Alzheimer's disease , 2016, Nature.

[7]  Ali Hashemi,et al.  Characterizing Population EEG Dynamics throughout Adulthood , 2016, eNeuro.

[8]  S. Hunter,et al.  The aging neuromuscular system and motor performance. , 2016, Journal of applied physiology.

[9]  Joseph M. Andreano,et al.  Youthful Brains in Older Adults: Preserved Neuroanatomy in the Default Mode and Salience Networks Contributes to Youthful Memory in Superaging , 2016, The Journal of Neuroscience.

[10]  A. McIntosh,et al.  Aging Effects on Whole-Brain Functional Connectivity in Adults Free of Cognitive and Psychiatric Disorders. , 2016, Cerebral cortex.

[11]  Mathieu Bourguignon,et al.  A geometric correction scheme for spatial leakage effects in MEG/EEG seed‐based functional connectivity mapping , 2015, Human brain mapping.

[12]  X. Zuo,et al.  Neuroscience and Biobehavioral Reviews Putting Age-related Task Activation into Large-scale Brain Networks: a Meta-analysis of 114 Fmri Studies on Healthy Aging , 2022 .

[13]  Mark W. Woolrich,et al.  A symmetric multivariate leakage correction for MEG connectomes , 2015, NeuroImage.

[14]  Mark W. Woolrich,et al.  Dynamic recruitment of resting state sub-networks , 2015, NeuroImage.

[15]  N. Maurits,et al.  A Brain-Wide Study of Age-Related Changes in Functional Connectivity. , 2015, Cerebral cortex.

[16]  David Bartrés-Faz,et al.  Reorganization of brain networks in aging: a review of functional connectivity studies , 2015, Front. Psychol..

[17]  Brian Patenaude,et al.  Neurobiological Signatures of Anxiety and Depression in Resting-State Functional Magnetic Resonance Imaging , 2015, Biological Psychiatry.

[18]  Peter Martin,et al.  Defining successful aging: a tangible or elusive concept? , 2015, The Gerontologist.

[19]  Mary E. Meyerand,et al.  Age-Related Reorganizational Changes in Modularity and Functional Connectivity of Human Brain Networks , 2014, Brain Connect..

[20]  Y. Jiao,et al.  Selective Vulnerability Related to Aging in Large-Scale Resting Brain Networks , 2014, PloS one.

[21]  Fernando Maestú,et al.  The Default Mode Network is functionally and structurally disrupted in amnestic mild cognitive impairment — A bimodal MEG–DTI study , 2014, NeuroImage: Clinical.

[22]  Mathieu Bourguignon,et al.  About the electrophysiological basis of resting state networks , 2014, Clinical Neurophysiology.

[23]  Jonathan D. Power,et al.  Intrinsic and Task-Evoked Network Architectures of the Human Brain , 2014, Neuron.

[24]  Winfried Schlee,et al.  Resting-state slow wave power, healthy aging and cognitive performance , 2014, Scientific Reports.

[25]  Stephen M Smith,et al.  Fast transient networks in spontaneous human brain activity , 2014, eLife.

[26]  Eswar Damaraju,et al.  Tracking whole-brain connectivity dynamics in the resting state. , 2014, Cerebral cortex.

[27]  C. Harada,et al.  Normal cognitive aging. , 2013, Clinics in geriatric medicine.

[28]  Thomas T. Liu,et al.  Neurovascular factors in resting-state functional MRI , 2013, NeuroImage.

[29]  David A. Leopold,et al.  Dynamic functional connectivity: Promise, issues, and interpretations , 2013, NeuroImage.

[30]  Lisa D. Nickerson,et al.  The hypnotic zolpidem increases the synchrony of BOLD signal fluctuations in widespread brain networks during a resting paradigm , 2013, NeuroImage.

[31]  G. Busatto,et al.  Resting-state functional connectivity in normal brain aging , 2013, Neuroscience & Biobehavioral Reviews.

[32]  C. Grady,et al.  Age differences in the frontoparietal cognitive control network: Implications for distractibility , 2012, Neuropsychologia.

[33]  Irene E. Nagel,et al.  Cortical thickness is linked to executive functioning in adulthood and aging , 2012, Human brain mapping.

[34]  M. Corbetta,et al.  Large-scale cortical correlation structure of spontaneous oscillatory activity , 2012, Nature Neuroscience.

[35]  M. Corbetta,et al.  A Cortical Core for Dynamic Integration of Functional Networks in the Resting Human Brain , 2012, Neuron.

[36]  L. Nyberg,et al.  Memory aging and brain maintenance , 2012, Trends in Cognitive Sciences.

[37]  N. Volkow,et al.  Aging and Functional Brain Networks , 2011, Molecular Psychiatry.

[38]  Darren Price,et al.  Investigating the electrophysiological basis of resting state networks using magnetoencephalography , 2011, Proceedings of the National Academy of Sciences.

[39]  T. Salthouse.  Neuroanatomical substrates of age-related cognitive decline. , 2011, Psychological bulletin.

[40]  Karl J. Friston,et al.  Controlling false positive rates in mass-multivariate tests for electromagnetic responses , 2011, NeuroImage.

[41]  Liang Wang,et al.  Intrinsic connectivity between the hippocampus and posteromedial cortex predicts memory performance in cognitively intact older individuals , 2010, NeuroImage.

[42]  M. Corbetta,et al.  Temporal dynamics of spontaneous MEG activity in brain networks , 2010, Proceedings of the National Academy of Sciences.

[43]  R. Morris,et al.  Diffusion tensor imaging detects age related white matter change over a 2 year follow-up which is associated with working memory decline , 2009, Journal of Neurology, Neurosurgery & Psychiatry.

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

[45]  Roberto Cabeza,et al.  Cerebral White Matter Integrity Mediates Adult Age Differences in Cognitive Performance , 2009, Journal of Cognitive Neuroscience.

[46]  Lauri Parkkonen,et al.  Recording epileptic activity with MEG in a light-weight magnetic shield , 2008, Epilepsy Research.

[47]  Justin L. Vincent,et al.  Disruption of Large-Scale Brain Systems in Advanced Aging , 2007, Neuron.

[48]  M. Fox,et al.  Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.

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

[50]  D. Yan,et al.  Ageing and hearing loss , 2007, The Journal of pathology.

[51]  N. Rawson.  Olfactory loss in aging. , 2006, Science of aging knowledge environment : SAGE KE.

[52]  P. Rossini,et al.  Sources of cortical rhythms in adults during physiological aging: A multicentric EEG study , 2006, Human brain mapping.

[53]  S. Taulu,et al.  Applications of the signal space separation method , 2005, IEEE Transactions on Signal Processing.

[54]  A. Dale,et al.  Age-related alterations in white matter microstructure measured by diffusion tensor imaging , 2005, Neurobiology of Aging.

[55]  J. Cummings,et al.  The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool For Mild Cognitive Impairment , 2005, Journal of the American Geriatrics Society.

[56]  J. Grégoire.  Factor Structure of the French Version of the Wechsler Adult Intelligence Scale–III , 2004 .

[57]  T. Tombaugh.  Trail Making Test A and B: normative data stratified by age and education. , 2004, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[58]  J. Gabrieli,et al.  Insights into the ageing mind: a view from cognitive neuroscience , 2004, Nature Reviews Neuroscience.

[59]  M. D’Esposito,et al.  Alterations in the BOLD fMRI signal with ageing and disease: a challenge for neuroimaging , 2003, Nature Reviews Neuroscience.

[60]  S. Resnick,et al.  Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain , 2003, The Journal of Neuroscience.

[61]  D. Royall,et al.  Alzheimer disease as a vascular disorder: nosological evidence. , 2002, Stroke.

[62]  Thomas E. Nichols,et al.  Nonparametric permutation tests for functional neuroimaging: A primer with examples , 2002, Human brain mapping.

[63]  Yaakov Stern,et al.  Cognitive Reserve: Implications for Assessment and Intervention , 2013, Folia Phoniatrica et Logopaedica.

[64]  Derek K. Jones,et al.  Evidence for cortical “disconnection” as a mechanism of age-related cognitive decline , 2001, Neurology.

[65]  V. Haughton,et al.  Mapping functionally related regions of brain with functional connectivity MR imaging. , 2000, AJNR. American journal of neuroradiology.

[66]  J. Townsend,et al.  Normal brain development and aging: quantitative analysis at in vivo MR imaging in healthy volunteers. , 2000, Radiology.

[67]  Erkki Oja,et al.  Independent component approach to the analysis of EEG and MEG recordings , 2000, IEEE Transactions on Biomedical Engineering.

[68]  N. Denburg,et al.  Adult norms for the Rey-Osterrieth Complex Figure Test and for supplemental recognition and matching trials from the Extended Complex Figure Test. , 1999, The Clinical neuropsychologist.

[69]  P. Pietrini,et al.  Sex differences in human brain morphometry and metabolism: an in vivo quantitative magnetic resonance imaging and positron emission tomography study on the effect of aging. , 1996, Archives of general psychiatry.

[70]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[71]  D. Mathalon,et al.  A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood. , 1994, Archives of neurology.

[72]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

[73]  P. D. Spear,et al.  Neural bases of visual deficits during aging , 1993, Vision Research.

[74]  R. Ilmoniemi,et al.  Magnetoencephalography-theory, instrumentation, and applications to noninvasive studies of the working human brain , 1993 .

[75]  A. Dale,et al.  Improved Localizadon of Cortical Activity by Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach , 1993, Journal of Cognitive Neuroscience.

[76]  Robert G. Miller,et al.  Cyclosporine increases muscular force generation in Duhenne muscular dystrophy , 1993, Neurology.

[77]  H. Soininen,et al.  Aging and spectral analysis of EEG in normal subjects: a link to memory and CSF AChE , 1992, Acta neurologica Scandinavica.

[78]  C. Coffey,et al.  Quantitative cerebral anatomy of the aging human brain , 1992, Neurology.

[79]  R. Gur,et al.  Gender differences in age effect on brain atrophy measured by magnetic resonance imaging. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[80]  Colin M. Macleod.  Half a century of research on the Stroop effect: an integrative review. , 1991, Psychological bulletin.

[81]  Y. Joanette,et al.  [Formal and semantic lexical evocation in normal subjects. Performance and dynamics of production as a function of sex, age and educational level]. , 1990, Acta neurologica Belgica.

[82]  Daniel J Buysse,et al.  The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research , 1989, Psychiatry Research.

[83]  H. Buschke,et al.  Genuine memory deficits in dementia , 1987 .

[84]  J. Yesavage,et al.  Geriatric Depression Scale (GDS): Recent evidence and development of a shorter version. , 1986 .

[85]  L. Collet,et al.  Inventaire abrégé de la dépression de Beck (13 items). Etude de la validité concurrente avec les échelles de Hamilton et de ralentissement de Widlöcher. , 1986 .

[86]  T. Shallice.  Specific impairments of planning. , 1982, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[87]  H. Nelson.  A Modified Card Sorting Test Sensitive to Frontal Lobe Defects , 1976, Cortex.

[88]  K Rickels,et al.  Short form of depression inventory: cross-validation. , 1974, Psychological reports.

[89]  B. Milner,et al.  Interhemispheric differences in the localization of psychological processes in man. , 1971, British medical bulletin.