The effect of ageing on fMRI: Correction for the confounding effects of vascular reactivity evaluated by joint fMRI and MEG in 335 adults
暂无分享,去创建一个
James B. Rowe | Simon W. Davis | Lorraine K. Tyler | Richard N. A. Henson | Meredith A. Shafto | Kamen A. Tsvetanov | Jason R. Taylor | R. Henson | L. Tyler | J. Rowe | Cam-Can | Wiley Online Library | S. Davis | M. Shafto | K. Tsvetanov | N. Williams | Nitin Williams | Cam‐CAN | Nitin Williams
[1] A. Braun,et al. Decoupling of the brain's default mode network during deep sleep , 2009, Proceedings of the National Academy of Sciences.
[2] V. Hachinski,et al. Vascular cognitive impairment (VCI): Progress towards knowledge and treatment , 2010, Dementia & neuropsychologia.
[3] E. Bullmore,et al. Endogenous Human Brain Dynamics Recover Slowly Following Cognitive Effort , 2008, PloS one.
[4] 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.
[5] Tülay Adali,et al. Estimating the number of independent components for functional magnetic resonance imaging data , 2007, Human brain mapping.
[6] Bharat B. Biswal,et al. Detection and scaling of task-induced fMRI-BOLD response using resting state fluctuations , 2008, NeuroImage.
[7] S. Bunk. Science and business , 2002, Nature.
[8] M. Peters,et al. Volume conduction effects in EEG and MEG. , 1998, Electroencephalography and clinical neurophysiology.
[9] M. Corbetta,et al. Temporal dynamics of spontaneous MEG activity in brain networks , 2010, Proceedings of the National Academy of Sciences.
[10] R. Emmerson,et al. Life-span changes in EEG spectral amplitude, amplitude variability and mean frequency , 1999, Clinical Neurophysiology.
[11] H. Duvernoy,et al. Cortical blood vessels of the human brain , 1981, Brain Research Bulletin.
[12] Cheryl L. Grady,et al. Age Differences in fMRI Adaptation for Sound Identity and Location , 2011, Front. Hum. Neurosci..
[13] Raymond J. Dolan,et al. The Brain Ages Optimally to Model Its Environment: Evidence from Sensory Learning over the Adult Lifespan , 2014, PLoS Comput. Biol..
[14] Mary E. Meyerand,et al. Age-Related Differences in Test-Retest Reliability in Resting-State Brain Functional Connectivity , 2012, PloS one.
[15] V. Calhoun,et al. Source‐based morphometry: The use of independent component analysis to identify gray matter differences with application to schizophrenia , 2009, Human brain mapping.
[16] M. D’Esposito,et al. Alterations in the BOLD fMRI signal with ageing and disease: a challenge for neuroimaging , 2003, Nature Reviews Neuroscience.
[17] R. Turner,et al. Event-Related fMRI: Characterizing Differential Responses , 1998, NeuroImage.
[18] Li Yao,et al. An Empirical Comparison of Information-Theoretic Criteria in Estimating the Number of Independent Components of fMRI Data , 2011, PloS one.
[19] B. Biswal,et al. Voxel-speci fi c task-fMRI scaling using resting state fl uctuation amplitude , 2013 .
[20] Stephen D. Mayhew,et al. Spontaneous EEG alpha oscillation interacts with positive and negative BOLD responses in the visual–auditory cortices and default-mode network , 2013, NeuroImage.
[21] Raj N Kalarianure,et al. Vascular basis for brain degeneration : faltering controls and risk factors for dementia , 2010 .
[22] S. Taulu,et al. Applications of the signal space separation method , 2005, IEEE Transactions on Signal Processing.
[23] Guanghua Xiao,et al. On the assessment of cerebrovascular reactivity using hypercapnia BOLD MRI , 2009, NMR in biomedicine.
[24] N. Harel,et al. Blood capillary distribution correlates with hemodynamic-based functional imaging in cerebral cortex. , 2002, Cerebral cortex.
[25] David Cohen,et al. EEG versus MEG localization accuracy: Theory and experiment , 2005, Brain Topography.
[26] Helmut Laufs,et al. Where the BOLD signal goes when alpha EEG leaves , 2006, NeuroImage.
[27] Denise C. Park,et al. &bgr;-Amyloid burden in healthy aging: Regional distribution and cognitive consequences , 2012, Neurology.
[28] N. Logothetis. What we can do and what we cannot do with fMRI , 2008, Nature.
[29] Seppo P. Ahlfors,et al. Sensitivity of MEG and EEG to Source Orientation , 2010, Brain Topography.
[30] Herman Snellen,et al. Probebuchstaben zur Bestimmung der Sehschärfe , 1873 .
[31] R. Ilmoniemi,et al. Magnetoencephalography-theory, instrumentation, and applications to noninvasive studies of the working human brain , 1993 .
[32] A. W. Toga,et al. A myelo-architectonic method for the structural classification of cortical areas , 2004, NeuroImage.
[33] Jeff H. Duyn,et al. Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal , 2007, NeuroImage.
[34] C. Grady,et al. The Importance of Being Variable , 2011, The Journal of Neuroscience.
[35] Christian Büchel,et al. Training-Induced Brain Structure Changes in the Elderly , 2008, The Journal of Neuroscience.
[36] C. Grady,et al. The modulation of BOLD variability between cognitive states varies by age and processing speed. , 2013, Cerebral cortex.
[37] Jon H. Kaas,et al. Cell and neuron densities in the primary motor cortex of primates , 2013, Front. Neural Circuits.
[38] Gerald Langner,et al. The oscillating brain , 2015 .
[39] Cheryl L. Grady,et al. Understanding variability in the BOLD signal and why it matters for aging , 2013, Brain Imaging and Behavior.
[40] Hans-Jochen Heinze,et al. Association between heart rate variability and fluctuations in resting-state functional connectivity , 2013, NeuroImage.
[41] John D E Gabrieli,et al. Assessing the influence of scanner background noise on auditory processing. I. An fMRI study comparing three experimental designs with varying degrees of scanner noise , 2007, Human brain mapping.
[42] Francis Cassot,et al. Morphometry of the human cerebral cortex microcirculation: General characteristics and space-related profiles , 2008, NeuroImage.
[43] M. Colonnier,et al. Number of neurons in individual laminae of areas 3B, 4 gamma, and 6a alpha of the cat cerebral cortex: a comparison with major visual areas. , 1989, The Journal of comparative neurology.
[44] Catie Chang,et al. Mapping the end-tidal CO2 response function in the resting-state BOLD fMRI signal: Spatial specificity, test–retest reliability and effect of fMRI sampling rate , 2015, NeuroImage.
[45] Hellmuth Obrig,et al. Correlates of alpha rhythm in functional magnetic resonance imaging and near infrared spectroscopy , 2003, NeuroImage.
[46] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[47] Gian Domenico Iannetti,et al. Coupling of simultaneously acquired electrophysiological and haemodynamic responses during visual stimulation. , 2010, Magnetic resonance imaging.
[48] Karen J. Mullinger,et al. Identifying the sources of the pulse artefact in EEG recordings made inside an MR scanner , 2013, NeuroImage.
[49] Stephen D. Mayhew,et al. Learning Shapes the Representation of Visual Categories in the Aging Human Brain , 2010, Journal of Cognitive Neuroscience.
[50] M. Fukunaga,et al. Layer-specific variation of iron content in cerebral cortex as a source of MRI contrast , 2010, Proceedings of the National Academy of Sciences.
[51] Vasily A. Vakorin,et al. Spatiotemporal Dependency of Age-Related Changes in Brain Signal Variability , 2013, Cerebral cortex.
[52] Natasha M. Maurits,et al. Correlating the alpha rhythm to BOLD using simultaneous EEG/fMRI: Inter-subject variability , 2006, NeuroImage.
[53] A. Gardner,et al. Differences in Vascular Reactivity Between Men and Women , 2006, Angiology.
[54] Irene Tracey,et al. Resting fluctuations in arterial carbon dioxide induce significant low frequency variations in BOLD signal , 2004, NeuroImage.
[55] Matthew J. Brookes,et al. The effect of hypercapnia on resting and stimulus induced MEG signals , 2011, NeuroImage.
[56] Richard S. Frackowiak,et al. Aging is associated with contrasting changes in local and distant cortical connectivity in the human motor system , 2006, NeuroImage.
[57] V. Haughton,et al. Confounding effect of large vessels on MR perfusion images analyzed with independent component analysis. , 2002, AJNR. American journal of neuroradiology.
[58] J. Morris,et al. Functional Brain Imaging of Young, Nondemented, and Demented Older Adults , 2000, Journal of Cognitive Neuroscience.
[59] Maurizio Corbetta,et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[60] R. Turner,et al. Microstructural Parcellation of the Human Cerebral Cortex – From Brodmann's Post-Mortem Map to in vivo Mapping with High-Field Magnetic Resonance Imaging , 2011, Front. Hum. Neurosci..
[61] Brent L. Hughes,et al. Prefrontal-Subcortical Pathways Mediating Successful Emotion Regulation , 2008, Neuron.
[62] M. D’Esposito,et al. Reducing vascular variability of fMRI data across aging populations using a breathholding task , 2007, Human brain mapping.
[63] Barbara L. Finlay,et al. Systematic, balancing gradients in neuron density and number across the primate isocortex , 2012, Front. Neuroanat..
[64] K. Pribram,et al. Age Differences in Dynamic Measures of EEG , 2004, Brain Topography.
[65] Guanghua Xiao,et al. Improving fMRI sensitivity by normalization of basal physiologic state , 2009, Human brain mapping.
[66] G H Glover,et al. Image‐based method for retrospective correction of physiological motion effects in fMRI: RETROICOR , 2000, Magnetic resonance in medicine.
[67] John Suckling,et al. A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series , 2014, NeuroImage.
[68] C. Grady,et al. Blood Oxygen Level-Dependent Signal Variability Is More than Just Noise , 2010, The Journal of Neuroscience.
[69] Carrie J. Scarff,et al. The effect of MR scanner noise on auditory cortex activity using fMRI , 2004, Human brain mapping.
[70] Klaudius Kalcher,et al. RESCALE: Voxel-specific task-fMRI scaling using resting state fluctuation amplitude , 2013, NeuroImage.
[71] H Ector,et al. The analysis of heart rate variability in unrestrained rats. Validation of method and results. , 1999, Computer methods and programs in biomedicine.
[72] Geoffrey M. Boynton,et al. Efficient Design of Event-Related fMRI Experiments Using M-Sequences , 2002, NeuroImage.
[73] Simon B. Eickhoff,et al. One-year test–retest reliability of intrinsic connectivity network fMRI in older adults , 2012, NeuroImage.
[74] J. Rissanen,et al. Modeling By Shortest Data Description* , 1978, Autom..
[75] A. Malliani,et al. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .
[76] D. V. van Essen,et al. Mapping Human Cortical Areas In Vivo Based on Myelin Content as Revealed by T1- and T2-Weighted MRI , 2011, The Journal of Neuroscience.
[77] Laurent Risser,et al. Coupling and robustness of intra-cortical vascular territories , 2012, NeuroImage.
[78] Peter A. Bandettini,et al. Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI , 2006, NeuroImage.
[79] J. Holden,et al. Relations between PET-derived measures of thalamic glucose metabolism and EEG alpha power. , 1998, Psychophysiology.
[80] D. B. Leitch,et al. Neuron densities vary across and within cortical areas in primates , 2010, Proceedings of the National Academy of Sciences.
[81] Justin L. Gardner,et al. Is cortical vasculature functionally organized? , 2010, NeuroImage.
[82] Gary H. Glover,et al. Breath holding reveals differences in fMRI BOLD signal in children and adults , 2005, NeuroImage.
[83] Peiying Liu,et al. Age-related differences in memory-encoding fMRI responses after accounting for decline in vascular reactivity , 2013, NeuroImage.
[84] R. C. Oldfield. The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.
[85] H A Skinner. The drug abuse screening test. , 1982, Addictive behaviors.
[86] Thomas T. Liu,et al. Inter-subject variability in hypercapnic normalization of the BOLD fMRI response , 2009, NeuroImage.
[87] F. H. Lopes da Silva,et al. A study of the brain's resting state based on alpha band power, heart rate and fMRI , 2008, NeuroImage.
[88] Bart Rypma,et al. r Human Brain Mapping 32:1125–1140 (2011) r Increasing Measurement Accuracy of Age-Related BOLD Signal Change: Minimizing Vascular Contributions by Resting-State-Fluctuation-of-Amplitude Scaling , 2022 .
[89] P. Renshaw,et al. Age-related Reduction in Functional MRI Response to Photic Stimulation , 1997, Neurology.
[90] M Malik,et al. Changes in Heart Rate Variability with Age , 1996, Pacing and clinical electrophysiology : PACE.
[91] Mark S. Cohen,et al. Simultaneous EEG and fMRI of the alpha rhythm , 2002, Neuroreport.
[92] Bryon A Mueller,et al. An Introduction to Normalization and Calibration Methods in Functional MRI , 2013, Psychometrika.
[93] A. Hayes. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach , 2013 .
[94] Catie Chang,et al. Influence of heart rate on the BOLD signal: The cardiac response function , 2009, NeuroImage.
[95] R. Emmerson,et al. EEG and event-related potentials in normal aging , 1993, Progress in Neurobiology.
[96] P. Jolicoeur,et al. A Solution to the Effect of Sample Size on Outlier Elimination , 1994 .
[97] Thomas T. Liu,et al. Cerebral blood flow and BOLD responses to a memory encoding task: A comparison between healthy young and elderly adults , 2007, NeuroImage.
[98] M. Mallar Chakravarty,et al. Neurite density from magnetic resonance diffusion measurements at ultrahigh field: Comparison with light microscopy and electron microscopy , 2010, NeuroImage.
[99] P. Boesiger,et al. Age-Specific Characteristics and Coupling of Cerebral Arterial Inflow and Cerebrospinal Fluid Dynamics , 2012, PloS one.
[100] A. Dart,et al. Gender, sex hormones and autonomic nervous control of the cardiovascular system. , 2002, Cardiovascular research.
[101] Timothy Edward John Behrens,et al. Training induces changes in white matter architecture , 2009, Nature Neuroscience.
[102] Gary H Glover,et al. Calibration of BOLD fMRI using breath holding reduces group variance during a cognitive task , 2007, Human brain mapping.
[103] Andreas Heinz,et al. Test–retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures , 2012, NeuroImage.
[104] D Purves,et al. Specialized vascularization of the primate visual cortex , 1991, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[105] A. Wåhlin,et al. Intracranial pulsatility is associated with regional brain volume in elderly individuals , 2014, Neurobiology of Aging.
[106] Jeff H. Duyn,et al. Modulation of spontaneous fMRI activity in human visual cortex by behavioral state , 2009, NeuroImage.
[107] Xi-Nian Zuo,et al. Reliable intrinsic connectivity networks: Test–retest evaluation using ICA and dual regression approach , 2010, NeuroImage.
[108] J. Sarvas. Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem. , 1987, Physics in medicine and biology.
[109] Mark W. Woolrich,et al. Inferring task-related networks using independent component analysis in magnetoencephalography , 2012, NeuroImage.
[110] Mark W. Woolrich,et al. Using variance information in magnetoencephalography measures of functional connectivity , 2013, NeuroImage.
[111] David H. Salat,et al. Age-associated reductions in cerebral blood flow are independent from regional atrophy , 2011, NeuroImage.
[112] Denise C. Park,et al. Beta-Amyloid Deposition and the Aging Brain , 2009, Neuropsychology Review.
[113] Gareth R. Barnes,et al. Practical constraints on estimation of source extent with MEG beamformers , 2011, NeuroImage.
[114] R. Varadhan,et al. Frailty and impaired cardiac autonomic control: new insights from principal components aggregation of traditional heart rate variability indices. , 2009, The journals of gerontology. Series A, Biological sciences and medical sciences.
[115] Darren Price,et al. Investigating the electrophysiological basis of resting state networks using magnetoencephalography , 2011, Proceedings of the National Academy of Sciences.
[116] Denise C. Park,et al. Alterations in cerebral metabolic rate and blood supply across the adult lifespan. , 2011, Cerebral cortex.
[117] Bart Rypma,et al. Neural Mechanisms of Age-Related Slowing: The ΔCBF/ΔCMRO2 Ratio Mediates Age-Differences in BOLD Signal and Human Performance , 2012, Cerebral cortex.
[118] M. Erb,et al. Relation between Regional Functional MRI Activation and Vascular Reactivity to Carbon Dioxide during Normal Aging , 2003, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[119] Usman Zulfiqar,et al. Relation of high heart rate variability to healthy longevity. , 2010, The American journal of cardiology.
[120] Thomas T. Liu,et al. An arteriolar compliance model of the cerebral blood flow response to neural stimulus , 2005, NeuroImage.
[121] Winfried Schlee,et al. Resting-state slow wave power, healthy aging and cognitive performance , 2014, Scientific Reports.
[122] Monica Fabiani,et al. Reduced Suppression or Labile Memory? Mechanisms of Inefficient Filtering of Irrelevant Information in Older Adults , 2006, Journal of Cognitive Neuroscience.
[123] Bharat B. Biswal,et al. The oscillating brain: Complex and reliable , 2010, NeuroImage.
[124] M. Cheitlin,et al. Cardiovascular physiology-changes with aging. , 2003, The American journal of geriatric cardiology.
[125] Christine L Larson,et al. Functional coupling of simultaneous electrical and metabolic activity in the human brain , 2004, Human brain mapping.
[126] B. Biswal,et al. Calibrating BOLD fMRI activations with neurovascular and anatomical constraints. , 2013, Cerebral cortex.
[127] J. Tigges,et al. Neuronal population of area 4 during the life span of the rhesus monkey , 1990, Neurobiology of Aging.
[128] T. Elbert,et al. Development of large-scale functional networks over the lifespan , 2012, Neurobiology of Aging.
[129] Bart Rypma,et al. A BOLD Perspective on Age-Related Neurometabolic-Flow Coupling and Neural Efficiency Changes in Human Visual Cortex , 2013, Front. Psychol..
[130] Jeff H. Duyn,et al. Characterization of regional heterogeneity in cerebrovascular reactivity dynamics using novel hypocapnia task and BOLD fMRI , 2009, NeuroImage.
[131] R. Cabeza,et al. Que PASA? The posterior-anterior shift in aging. , 2008, Cerebral cortex.
[132] Leslie S. Prichep,et al. Correlation of PET and qEEG in normal subjects , 2006, Psychiatry Research: Neuroimaging.
[133] G. V. Van Hoesen,et al. Prefrontal cortex in humans and apes: a comparative study of area 10. , 2001, American journal of physical anthropology.
[134] H. Vankova. Mini Mental State , 2010 .
[135] R. Hornero,et al. Spectral changes in spontaneous MEG activity across the lifespan , 2013, Journal of neural engineering.
[136] N. Shah,et al. The Default Mode Network and EEG Regional Spectral Power: A Simultaneous fMRI-EEG Study , 2014, PloS one.