BOLD hemodynamic response function changes significantly with healthy aging
Tài liệu tham khảo
Aizenstein, 2004, The BOLD hemodynamic response in healthy aging, J. Cognit. Neurosci., 16, 786, 10.1162/089892904970681
Ances, 2009, Effects of aging on cerebral blood flow, oxygen metabolism, and blood oxygenation level dependent responses to visual stimulation, Hum. Brain Mapp., 30, 1120, 10.1002/hbm.20574
Attwell, 2010, Glial and neuronal control of brain blood flow, Nature, 468, 232, 10.1038/nature09613
Bonakdarpour, 2007, Hemodynamic response function in patients with stroke-induced aphasia: implications for fMRI data analysis, Neuroimage, 36, 322, 10.1016/j.neuroimage.2007.02.035
Boynton, 1996, Linear systems analysis of functional magnetic resonance imaging in human V1, J. Neurosci., 16, 4207, 10.1523/JNEUROSCI.16-13-04207.1996
Brant, 1990, Age changes in pure-tone hearing thresholds in a longitudinal study of normal human aging, J. Acoust. Soc. Am., 88, 813, 10.1121/1.399731
Brodtmann, 2003, The functional magnetic resonance imaging hemodynamic response to faces remains stable until the ninth decade, Neuroimage, 20, 520, 10.1016/S1053-8119(03)00237-4
Brown, 2011, Cerebral microvascular pathology in ageing and neurodegeneration, Neuropathol. Appl. Neurobiol., 37, 56, 10.1111/j.1365-2990.2010.01139.x
Buckner, 2000, Functional brain imaging of young, nondemented, and demented older adults, J. Cognit. Neurosci., 12, 24, 10.1162/089892900564046
Buracas, 2002, Efficient design of event-related fMRI experiments using M-sequences, Neuroimage, 16, 801, 10.1006/nimg.2002.1116
Cauli, 2010, Revisiting the role of neurons in neurovascular coupling, Front. Neuroenergetics, 2, 9, 10.3389/fnene.2010.00009
Chen, 2014, A critical role for the vascular endothelium in functional neurovascular coupling in the brain, J. Am. Heart Assoc., 3
Coffey, 1992, Quantitative cerebral anatomy of the aging human brain A cross-sectional study using magnetic resonance imaging, Neurology, 42, 10.1212/WNL.42.3.527
Cunnington, 1995, Movement-related potentials in Parkinson's disease: presence and predictability of temporal and spatial cues, Brain, 118, 935, 10.1093/brain/118.4.935
D'Esposito, 2003, Alterations in the BOLD fMRI signal with ageing and disease: a challenge for neuroimaging, Nat. Rev. Neurosci., 4, 863, 10.1038/nrn1246
D'Esposito, 1999, The effect of normal aging on the coupling of neural activity to the bold hemodynamic response, Neuroimage, 10, 6, 10.1006/nimg.1999.0444
David, 2013, Potential reporting bias in fMRI studies of the brain, PLoS One, 8, 10.1371/journal.pone.0070104
Davis, 1998, Calibrated functional MRI: mapping the dynamics of oxidative metabolism, Proc. Natl. Acad. Sci. Unit. States Am., 95, 1834, 10.1073/pnas.95.4.1834
Desikan, 2006, An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest, Neuroimage, 31, 968, 10.1016/j.neuroimage.2006.01.021
Devor, 2005, Coupling of the cortical hemodynamic response to cortical and thalamic neuronal activity, Proc. Natl. Acad. Sci. U. S. A., 102, 3822, 10.1073/pnas.0407789102
Diaconescu, 2013, Visual dominance and multisensory integration changes with age, Neuroimage, 65, 152, 10.1016/j.neuroimage.2012.09.057
Diederich, 2008, Assessing age-related multisensory enhancement with the time-window-of-integration model, Neuropsychologia, 46, 2556, 10.1016/j.neuropsychologia.2008.03.026
Engl, 2015, Non-signalling energy use in the brain, J. Physiol., 593, 3417, 10.1113/jphysiol.2014.282517
Fabiani, 2014, Neurovascular coupling in normal aging: a combined optical, ERP and fMRI study, Neuroimage, 85, 592, 10.1016/j.neuroimage.2013.04.113
Fang, 1976, Observations on aging characteristics of cerebral blood vessels, macroscopic and microscopic features
Farkas, 2001, Cerebral microvascular pathology in aging and Alzheimer's disease, Prog. Neurobiol., 64, 575, 10.1016/S0301-0082(00)00068-X
Fischl, 2004, Automatically parcellating the human cerebral cortex, Cerebr. Cortex, 14, 11, 10.1093/cercor/bhg087
Fjell, 2009, High consistency of regional cortical thinning in aging across multiple samples, Cerebr. Cortex, 19, 2001, 10.1093/cercor/bhn232
Gao, 2018, Stable microsaccades and microsaccade-induced global alpha band phase reset across the life span, Invest. Ophthalmol. Vis. Sci., 59, 2032, 10.1167/iovs.17-23039
Gauthier, 2012, Magnetic resonance imaging of resting OEF and CMRO2 using a generalized calibration model for hypercapnia and hyperoxia, Neuroimage, 60, 1212, 10.1016/j.neuroimage.2011.12.056
Ge, 2002, Age-related total gray matter and white matter changes in normal adult brain. Part I: volumetric MR imaging analysis, Am. J. Neuroradiol., 23, 1327
Griffeth, 2011, A theoretical framework for estimating cerebral oxygen metabolism changes using the calibrated-BOLD method: modeling the effects of blood volume distribution, hematocrit, oxygen extraction fraction, and tissue signal properties on the BOLD signal, Neuroimage, 58, 198, 10.1016/j.neuroimage.2011.05.077
Grinband, 2017, BOLD neurovascular coupling does not change significantly with normal aging, Hum. Brain Mapp., 38, 3538
Handwerker, 2007, Reducing vascular variability of fMRI data across aging populations using a breathholding task, Hum. Brain Mapp., 28, 846, 10.1002/hbm.20307
Hasher, 1991, Age and inhibition, J. Exp. Psychol. Learn. Mem. Cognit., 17, 163, 10.1037/0278-7393.17.1.163
Hesselmann, 2001, Age related signal decrease in functional magnetic resonance imaging during motor stimulation in humans, Neurosci. Lett., 308, 141, 10.1016/S0304-3940(01)01920-6
Hillman, 2014, Coupling mechanism and significance of the BOLD signal: a status report, Annu. Rev. Neurosci., 37, 161, 10.1146/annurev-neuro-071013-014111
Hirano, 2011, Spatiotemporal evolution of the functional magnetic resonance imaging response to ultrashort stimuli, J. Neurosci., 31, 1440, 10.1523/JNEUROSCI.3986-10.2011
Hoge, 1999, Investigation of BOLD signal dependence on cerebral blood flow and oxygen consumption: the deoxyhemoglobin dilution model, Magn. Reson. Med., 42, 849, 10.1002/(SICI)1522-2594(199911)42:5<849::AID-MRM4>3.0.CO;2-Z
Holm, 1979, A simple sequentially rejective multiple test procedure, Scand. J. Stat., 65
Hubbard, 2016, Multiple sclerosis-related white matter microstructural change alters the BOLD hemodynamic response, J. Cerebr. Blood Flow Metabol., 36, 1872, 10.1177/0271678X15615133
Hubbard, 2017, Calibrated imaging reveals altered grey matter metabolism related to white matter microstructure and symptom severity in multiple sclerosis, Hum. Brain Mapp., 38, 5375, 10.1002/hbm.23727
Huettel, 2001, The effects of aging upon the hemodynamic response measured by functional MRI, Neuroimage, 13, 161, 10.1006/nimg.2000.0675
Hutchison, 2012, Neural mechanisms of age-related slowing: the ΔCBF/ΔCMRO2 ratio mediates age-differences in BOLD signal and human performance, Cerebr. Cortex, 23, 2337, 10.1093/cercor/bhs233
Hyder, 2001, Quantitative functional imaging of the brain: towards mapping neuronal activity by BOLD fMRI, NMR Biomed., 14, 413, 10.1002/nbm.733
Iadecola, 2017, The neurovascular unit coming of age: a journey through neurovascular coupling in health and disease, Neuron, 96, 17, 10.1016/j.neuron.2017.07.030
Jenkinson, 2002, Improved optimization for the robust and accurate linear registration and motion correction of brain images, Neuroimage, 17, 825, 10.1006/nimg.2002.1132
Jenkinson, 2012, Fsl. Neuroimage, 62, 782, 10.1016/j.neuroimage.2011.09.015
Johnson, 2000, The relationship between fMRI activation and cerebral atrophy: comparison of normal aging and Alzheimer disease, Neuroimage, 11, 179, 10.1006/nimg.1999.0530
Jorge, 2017, Alpha band EEG coherence in healthy nonagenarians, Arquivos de neuro-psiquiatria, 75, 609, 10.1590/0004-282x20170102
Kannurpatti, 2010, Neural and vascular variability and the fMRI-BOLD response in normal aging, Magn. Reson. Image., 28, 466, 10.1016/j.mri.2009.12.007
Laurienti, 2006, Enhanced multisensory integration in older adults, Neurobiol. Aging, 27, 1155, 10.1016/j.neurobiolaging.2005.05.024
Li, 2018, Inter-regional BOLD latency reactivity calibration is correlated to reaction time. Abstract #0148, Int. Soc. Magn. Reson. Med., Paris, France
Lindquist, 2009, Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modeling, Neuroimage, 45, S187, 10.1016/j.neuroimage.2008.10.065
Liu, 2017, Brain atrophy can introduce age-related differences in Bold response, Hum. Brain Mapp., 38, 3402
Logothetis, 2008, What we can do and what we cannot do with fMRI, Nature, 453, 869, 10.1038/nature06976
Logothetis, 2010, Neurovascular uncoupling: much ado about nothing, Front. Neuroenergetics, 2, 2, 10.3389/fnene.2010.00002
Lu, 2005, Experimental measurement of extravascular parenchymal BOLD effects and tissue oxygen extraction fractions using multi-echo VASO fMRI at 1.5 and 3.0 T, Magn. Reson. Med., 53, 808, 10.1002/mrm.20379
Martindale, 2003, The hemodynamic impulse response to a single neural event, J. Cerebr. Blood Flow Metabol., 23, 546, 10.1097/01.WCB.0000058871.46954.2B
Metea, 2006, Glial cells dilate and constrict blood vessels: a mechanism of neurovascular coupling, J. Neurosci., 26, 2862, 10.1523/JNEUROSCI.4048-05.2006
Mitchell, 1987, Visual evoked potentials in the older population: age and gender effects, Clin. Phys. Physiol. Meas., 8, 317, 10.1088/0143-0815/8/4/004
Ogawa, 1990, Magnetic resonance imaging of blood vessels at high fields: in vivo and in vitro measurements and image simulation, Magn. Reson. Med., 16, 9, 10.1002/mrm.1910160103
Peiffer, 2007, Age-related multisensory enhancement in a simple audiovisual detection task, Neuroreport, 18, 1077, 10.1097/WNR.0b013e3281e72ae7
Peters, 2002, Aging and the myelinated fibers in prefrontal cortex and corpus callosum of the monkey, J. Comp. Neurol., 442, 277, 10.1002/cne.10099
Peters, 2003, Is there remyelination during aging of the primate central nervous system?, J. Comp. Neurol., 460, 238, 10.1002/cne.10639
Peters, 2004, Oligodendrocytes, their progenitors and other neuroglial cells in the aging primate cerebral cortex, Cerebr. Cortex, 14, 995, 10.1093/cercor/bhh060
Power, 2012, Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion, Neuroimage, 59, 2142, 10.1016/j.neuroimage.2011.10.018
Price, 2017, Age-related delay in visual and auditory evoked responses is mediated by white-and grey-matter differences, Nat. Commun., 8, 15671, 10.1038/ncomms15671
Puligheddu, 2005, Age distribution of MEG spontaneous theta activity in healthy subjects, Brain Topogr., 17, 165, 10.1007/s10548-005-4449-2
Raichle, 1998, Behind the scenes of functional brain imaging: a historical and physiological perspective, Proc. Natl. Acad. Sci. Unit. States Am., 95, 765, 10.1073/pnas.95.3.765
Raz, 1997, Selective aging of the human cerebral cortex observed in vivo: differential vulnerability of the prefrontal gray matter, Cerebr. Cortex, 7, 268, 10.1093/cercor/7.3.268
Richter, 2003, The shape of the fMRI BOLD response in children and adults changes systematically with age, Neuroimage, 20, 1122, 10.1016/S1053-8119(03)00347-1
Riecker, 2003, Relation between regional functional MRI activation and vascular reactivity to carbon dioxide during normal aging, J. Cerebr. Blood Flow Metabol., 23, 565, 10.1097/01.WCB.0000056063.25434.04
Rosengarten, 2003, Neurovascular coupling remains unaffected during normal aging, J. Neuroimaging, 13, 43, 10.1111/j.1552-6569.2003.tb00155.x
Ross, 1997, Age-related reduction in functional MRI response to photic stimulation, Neurology, 48, 173, 10.1212/WNL.48.1.173
Rypma, 2001, Age-related changes in brain–behaviour relationships: evidence from event-related functional MRI studies, Eur. J. Cogn. Psychol., 13, 235, 10.1080/09541440042000296
Saunders, 1999, Aging of the adult human brain: in vivo quantitation of metabolite content with proton magnetic resonance spectroscopy, J. Magn. Reson. Imag.: Offic. J. Int. Soc. Magn. Reson. Med., 9, 711, 10.1002/(SICI)1522-2586(199905)9:5<711::AID-JMRI14>3.0.CO;2-3
Schroeter, 2004, Spontaneous low-frequency oscillations decline in the aging brain, J. Cerebr. Blood Flow Metabol., 24, 1183, 10.1097/01.WCB.0000135231.90164.40
Shafto, 2014, The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing, BMC Neurol., 14, 204, 10.1186/s12883-014-0204-1
Smith, 2002, Fast robust automated brain extraction, Hum. Brain Mapp., 17, 143, 10.1002/hbm.10062
Stephen, 2010, Aging-related changes in auditory and visual integration measured with MEG, Neurosci. Lett., 484, 76, 10.1016/j.neulet.2010.08.023
Taoka, 1998, Age correlation of the time lag in signal change on EPI-fMRI, J. Comput. Assist. Tomogr., 22, 514, 10.1097/00004728-199807000-00002
Taylor, 2017, 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, Neuroimage, 144, 262, 10.1016/j.neuroimage.2015.09.018
Tekes, 2005, Effect of age on visuomotor functional MR imaging1, Acad. Radiol., 12, 739, 10.1016/j.acra.2004.08.015
Thore, 2007, Morphometric analysis of arteriolar tortuosity in human cerebral white matter of preterm, young, and aged subjects, J. Neuropathol. Exp. Neurol., 66, 337, 10.1097/nen.0b013e3180537147
Trapp, 2009, Virtual hypoxia and chronic necrosis of demyelinated axons in multiple sclerosis, Lancet Neurol., 8, 280, 10.1016/S1474-4422(09)70043-2
Turner, 2018, Preserved canonicality of the BOLD hemodynamic response reflects healthy cognition: insights into the healthy brain through the window of multiple sclerosis, Neuroimage, 17, 31105
Uludağ, 2004, Coupling of cerebral blood flow and oxygen consumption during physiological activation and deactivation measured with fMRI, Neuroimage, 23, 148, 10.1016/j.neuroimage.2004.05.013
Van Dijk, 2012, The influence of head motion on intrinsic functional connectivity MRI, Neuroimage, 59, 431, 10.1016/j.neuroimage.2011.07.044
Ward, 2015, Reduced haemodynamic response in the ageing visual cortex measured by absolute fNIRS, PLoS One, 10, 10.1371/journal.pone.0125012
Wise, 2013, Measurement of OEF and absolute CMRO2: MRI-based methods using interleaved and combined hypercapnia and hyperoxia, Neuroimage, 83, 135, 10.1016/j.neuroimage.2013.06.008
Woolrich, 2004, Constrained linear basis sets for HRF modelling using Variational Bayes, Neuroimage, 21, 1748, 10.1016/j.neuroimage.2003.12.024
Woolrich, 2001, Temporal autocorrelation in univariate linear modeling of FMRI data, Neuroimage, 14, 1370, 10.1006/nimg.2001.0931
Yarkoni, 2010
Yeşilyurt, 2008, Dynamics and nonlinearities of the BOLD response at very short stimulus durations, Magn. Reson. Image., 26, 853, 10.1016/j.mri.2008.01.008
Zou, 2011, Hemodynamic responses to visual stimulation in children with sickle cell anemia, Brain Imag. Behav., 5, 295, 10.1007/s11682-011-9133-4
